<?xml version="1.0" encoding="utf-8"?>
<XML>
<JOURNAL>
<YEAR>2025</YEAR>
<VOL>17</VOL>
<NO>2</NO>
<MOSALSAL>0</MOSALSAL>
<PAGE_NO>123</PAGE_NO>


<ARTICLES>

	<ARTICLE> 
		<TitleF>Clinical and Biochemical Heterogeneity in Hemoglobin H Disease: A Comprehensive Analysis of α-Globin Mutations and Transfusion Requirements</TitleF>
		<TitleE></TitleE>
		<TitleLang_ID>2</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Background: Hemoglobin H (Hb H) disease, a subtype of &#945;-thalassemia, demonstrates marked clinical heterogeneity primarily driven by underlying genotypic differences. While non-deletional mutations are typically associated with more severe phenotypes, considerable variability is observed even among patients with similar mutation classes. This study aimed to examine genotype&#8211;phenotype correlations in Hb H disease by assessing the relationship between &#945;-globin mutations, transfusion dependency, and a range of hematologic and biochemical markers.
Methods: Ninety patients with confirmed Hb H disease were evaluated. Genotyping was performed via multiplex gap-PCR, Sanger sequencing, and MLPA. Patients were classified by transfusion need into transfusion-dependent (TDT), occasionally transfused (OTDT), and non-transfusion-dependent (NTDT) groups. Genotypically, patients were categorized as non-deletional homozygotes (ND/ND), compound heterozygotes (ND/D), and deletional homozygotes (D/D). Complete blood count, hemoglobin fractions, iron profile, liver enzymes, and C-reactive protein (CRP) levels were measured and analyzed.
Results: Significant differences in hematologic and biochemical parameters were observed across genotypes. ND/ND patients had the highest hemoglobin (10.70 &#177; 1.83 g/dL), MCV (66.06 &#177; 8.43 fL), and HbA levels (93.72 &#177; 5.13%), and the lowest reticulocyte counts and Hb H percentages (p &#60; 0.01). ND/D patients exhibited lower HbA, higher Hb H, and elevated ferritin (438.66 &#177; 840.60 ng/mL) and CRP (3.97 &#177; 4.75 mg/L) levels (p &#60; 0.05), indicating greater erythropoietic stress. Transfusion dependence was most frequent in ND/D patients, though not statistically significant (p = 0.34).
Conclusion: This study highlights substantial phenotypic variability within genotypic groups, challenging the binary classification of deletional versus non-deletional mutations. Integrating molecular data with functional and inflammatory biomarkers may enhance risk stratification and support individualized management of Hb H disease.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>1</FPAGE>
			<TPAGE>12</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2025/04/11
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1404/1/22
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2025/05/22
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1404/3/1
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>Elaheh</Name>
				<MidName></MidName>
				<Family>saniei</Family>
				<NameE>Elaheh</NameE>
				<MidNameE></MidNameE>
				<FamilyE>saniei</FamilyE>
				<Organizations>
				<Organization>Department of chemistry and biochemistry, college of medicine, Mustansiriyah University, Baghdad, Iraq.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>elahetisaniei@uomustansiriyah.edu.iq</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Abdulkareem</Name>
				<MidName></MidName>
				<Family>H. Issa</Family>
				<NameE>Abdulkareem</NameE>
				<MidNameE></MidNameE>
				<FamilyE>H. Issa</FamilyE>
				<Organizations>
				<Organization>Department of chemistry and biochemistry, college of medicine, Mustansiriyah University, Baghdad, Iraq.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Azita</Name>
				<MidName></MidName>
				<Family>Azarkeivan</Family>
				<NameE>Azita</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Azarkeivan</FamilyE>
				<Organizations>
				<Organization>Iranian Blood Transfusion Organization (IBTO), High Institute for Research and Education in Transfusion Medicine, Thalassemia Clinic, Tehran, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Hassan</Name>
				<MidName></MidName>
				<Family>Abolghasemi</Family>
				<NameE>Hassan</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Abolghasemi</FamilyE>
				<Organizations>
				<Organization>Department of pediatrics, Baqiyatallah University of Medical Sciences, Tehran, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Morteza</Name>
				<MidName></MidName>
				<Family>Karimipoor</Family>
				<NameE>Morteza</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Karimipoor</FamilyE>
				<Organizations>
				<Organization>Department of Molecular Medicine, Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Alpha-Thalassemia</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Alpha-Globins</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Mutation</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
				<REF>Harteveld CL, Higgs DRJOjord. α-thalassaemia. 2010;5:1-21.##Higgs DRJCSHpim. The molecular basis of α-thalassemia. 2013;3(1):a011718.##Lal A, Goldrich ML, Haines DA, Azimi M, Singer ST, Vichinsky EPJNEJoM. Heterogeneity of hemoglobin H disease in childhood. 2011;364(8):710-8.##Galanello R, Cao AJGim. Alpha-thalassemia. 2011;13(2):83-8.##Musallam KM, Rivella S, Vichinsky E, Rachmilewitz EAJh. Non-transfusion-dependent thalassemias. 2013;98(6):833.##Viprakasit V, Ekwattanakit SJHOC. Clinical classification, screening and diagnosis for thalassemia. 2018;32(2):193-211.##Chen FE, Ooi C, Ha SY, Cheung BM, Todd D, Liang R, et al. Genetic and clinical features of hemoglobin H disease in Chinese patients. 2000;343(8):544-50.##Clark B, Thein SJC, Haematology L. Molecular diagnosis of haemoglobin disorders. 2004;26(3):159-76.##Abolghasemi H, Kamfar S, Azarkeivan A, Karimi M, Keikhaei B, Abolghasemi F, et al. Clinical and genetic characteristics of hemoglobin H disease in Iran. 2022;39(6):489-99.##MWer S, Dykes D, Polesky HJNar. A simple salting out procedure for extracting DNA from human nucleated cells. 1988;16(3):1215.##Chong SS, Boehm CD, Higgs DR, Cutting GRJB, The Journal of the American Society of Hematology. Single-tube multiplex-PCR screen for common deletional determinants of α-thalassemia. 2000;95(1):360-2.##Giardine B, Borg J, Viennas E, Pavlidis C, Moradkhani K, Joly P, et al. Updates of the HbVar database of human hemoglobin variants and thalassemia mutations. 2014;42(D1):D1063-D9.##O'Leary NA, Wright MW, Brister JR, Ciufo S, Haddad D, McVeigh R, et al. Reference sequence (RefSeq) database at NCBI: current status, taxonomic expansion, and functional annotation. 2016;44(D1):D733-D45.##Rivella SJB, The Journal of the American Society of Hematology. Iron metabolism under conditions of ineffective erythropoiesis in β-thalassemia. 2019;133(1):51-8.##Gardenghi S, Marongiu MF, Ramos P, Guy E, Breda L, Chadburn A, et al. Ineffective erythropoiesis in β-thalassemia is characterized by increased iron absorption mediated by down-regulation of hepcidin and up-regulation of ferroportin. 2007;109(11):5027-35.##Khandros E, Weiss MJJHocoNA. Protein quality control during erythropoiesis and hemoglobin synthesis. 2010;24(6):1071.##Vichinsky EJAotNYAoS. Complexity of alpha thalassemia: growing health problem with new approaches to screening, diagnosis, and therapy. 2010;1202(1):180-7.##Sollaino MC, Paglietti ME, Perseu L, Giagu N, Loi D, Galanello RJH. Association of α globin gene quadruplication and heterozygous β thalassemia in patients with thalassemia intermedia. 2009;94(10):1445.##Fucharoen S, Viprakasit VJAEPB. Hb H disease: clinical course and disease modifiers. 2009;2009(1):26-34.## ##</REF>
			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>Under Pressure: A Rare Portrait of Cardiac Strain and Respiratory Distress in Mediastinal Neuroblastoma</TitleF>
		<TitleE></TitleE>
		<TitleLang_ID>2</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Background: Neuroblastoma is the most common extracranial solid tumor in children, typically arising from the adrenal glands or abdominal sympathetic chain. Thoracic involvement, particularly in the posterior mediastinum, is rare and may present with nonspecific respiratory symptoms. When adjacent cardiac structures are compressed, clinical severity increases, posing diagnostic and therapeutic challenges.
Case Presentation: A one-year-old girl presented with persistent wheezing and recurrent pneumonia unresponsive to antibiotics. Initial imaging suggested pulmonary sequestration, but further evaluation&#8212;including echocardiography and angiography&#8212;revealed a posterior mediastinal mass compressing the left atrium and ventricle. Biopsy confirmed neuroblastoma. No metastasis was found on staging. Classified as intermediate-risk, she was treated per the Children&#8217;s Oncology Group (COG) A3961 protocol with chemotherapy. Treatment was well-tolerated, symptoms improved, and follow-up imaging showed significant tumor reduction without complications or recurrence.
Conclusion: Posterior mediastinal neuroblastoma may mimic common respiratory illnesses, delaying diagnosis. Cardiac compression can worsen symptoms and increase risks. Early recognition, accurate diagnosis, and multidisciplinary care are essential for favorable outcomes, as demonstrated by this case with no treatment complications or tumor recurrence on follow-up.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>13</FPAGE>
			<TPAGE>23</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2025/04/112025/03/25
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1404/1/5
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2025/05/222025/06/15
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1404/3/25
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>Mohsen</Name>
				<MidName></MidName>
				<Family>Rahmanian</Family>
				<NameE>Mohsen</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Rahmanian</FamilyE>
				<Organizations>
				<Organization>School of Medicine, North Khorasan University of Medical Sciences, Bojnord, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Sarah</Name>
				<MidName></MidName>
				<Family>Khosropanah</Family>
				<NameE>Sarah</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Khosropanah</FamilyE>
				<Organizations>
				<Organization>School of Medicine, North Khorasan University of Medical Sciences, Bojnord, Iran</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Amir Muhammad</Name>
				<MidName></MidName>
				<Family>Khuban Azghadi</Family>
				<NameE>Amir Muhammad</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Khuban Azghadi</FamilyE>
				<Organizations>
				<Organization>School of Medicine, North Khorasan University of Medical Sciences, Bojnord, Iran</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Hamid</Name>
				<MidName></MidName>
				<Family>Farhangi</Family>
				<NameE>Hamid</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Farhangi</FamilyE>
				<Organizations>
				<Organization>Department of Pediatrics Hematology and Oncology, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>FarhangiH@mums.ac.ir</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Neuroblastoma</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Chemotherapy</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Pediatrics</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Cardiac Compression</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Thoracic Tumors</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
				<REF>Vishwapriya Mahadev Godkhindi, M.M.B., Kamran Khan, Kiran Thorat, Adult Neuroblastoma-Case Report and Literature Review. Journal of Clinical and Diagnostic Research, 2016. 10(12): p. ED01-ED02.##Davis, S., M.A. Rogers, and T.W. Pendergrass, The incidence and epidemiologic characteristics of neuroblastoma in the United States. Am J Epidemiol, 1987. 126(6): p. 1063-74.##Heck, J.E., et al., The epidemiology of neuroblastoma: a review. Paediatric and Perinatal Epidemiology, 2009. 23(2): p. 125-143.##Sbeih, A.H., et al., Epidemiological and Clinical Data in Low and Intermediate Risk Neuroblastoma: A Single Institution Experience and Survival Outcomes in Jerusalem. Asian Pac J Cancer Care, 2020. 5(3): p. 139-144.##Ait Si Abdessadeq J, C.H., Ouassil S, Ahmanna H, Zouita B, Basraoui D, et al., Posterior Mediastinal Neuroblastoma in Children: An Unusual Location. Scholars J Med Case Rep. , 2025. 13: p. 1121-1124.##Singh, V., L. Tyngkan, and A.R. Bhat, Rare Atypical Presentation of a Neuroblastoma of Posterior Mediastinum. Int J Recent Surg Med Sci., 2021. 7.##Bargujar, P., J. Upadhyay, and H.R. Pahadiya, Posterior mediastinal neuroblastoma presenting with spinal cord compression as oncoemergency. J Pediatr Crit Care, 2023. 10(4).##Feki, J., et al., An uncommon breast metastasis of mediastinal neuroblastoma within a child: A case report. Breast J, 2021. 27(4): p. 377-379.##Ko, S.F., et al., Juvenile fibromatosis of the posterior mediastinum with intraspinal extension. AJNR Am J Neuroradiol, 1996. 17(3): p. 522-4.##Atwal, S.S., Neuroblastoma of posterior mediastinum: classical imaging findings. J Clin Diagn Res, 2014. 8(10): p. Rj01.##Kazemian, M., et al., Neonatal neuroblastoma presented with respiratory distress, a case report. Respir Med Case Rep, 2019. 28: p. 100874.##McLatchie, G.R. and D.G. Young, Presenting features of thoracic neuroblastoma. Arch Dis Child, 1980. 55(12): p. 958-62.##Stetsenko, T., et al., The case of Kinsburn's Encephalopathy in a child with neuroblastoma of posterior mediastinum. Mod Pediatr Ukr, 2024(1 (137)): p. 138-142.##Tang, J., et al., Clinical characteristics and therapeutic outcomes of mediastinal neuroblastoma with intraspinal extension: a retrospective study. Transl Pediatr, 2021. 10(4): p. 715-722.##Fatimi, S.H., S.A. Bawany, and A. Ashfaq, Ganglioneuroblastoma of the posterior mediastinum: a case report. J Med Case Rep, 2011. 5: p. 322.##Kinsella, C., et al., Neuroblastoma and life-threatening tracheal obstruction: A case report and literature review. Int J Pediatr Otorhinolaryngol Extra, 2011. 6(3): p. 146-148.##Ochi, T., et al., Successful all robotic-assisted excision of highly malignant mediastinal neuroblastoma in a toddler: A case report. Asian J Endosc Surg, 2023. 16(3): p. 542-545.##Rudolf, J.W. and M. Thapa, Thoracic neuroblastoma. Radiol Case Rep, 2011. 6(2): p. 440.##Yahya, F.S. and H.A. Al-Shami, Posterior mediastinal neuroblastoma masked as flaccid paraparesis in a 3 year child. Neurosciences (Riyadh), 2019. 24(4): p. 320-323.##Vantankhah, A., et al., A life-threatening encounter: an uncommon case of ruptured hydatid cyst presenting as anaphylactic shock and respiratory distress in a 12-year-old boy. Annals of Medicine and Surgery, 2023. 85(11): p. 5742-5747.##Han, W. and H.M. Wang, Refractory diarrhea: A paraneoplastic syndrome of neuroblastoma. World J Gastroenterol, 2015. 21(25): p. 7929-32.##Choi, J.H. and J.Y. Ro, Mediastinal neuroblastoma, ganglioneuroblastoma, and ganglioneuroma: Pathology review and diagnostic approach. Semin Diagn Pathol, 2022. 39(2): p. 120-130.##Mitry, M.A. and J.G. Edwards, Doxorubicin induced heart failure: Phenotype and molecular mechanisms. IJC heart &#38; vasculature, 2016. 10: p. 17-24.##Carvalho, F.S., et al., Doxorubicin‐induced cardiotoxicity: from bioenergetic failure and cell death to cardiomyopathy. Med Res Rev., 2014. 34(1): p. 106-135.##Wadia, S., Acute cyclophosphamide hemorrhagic myopericarditis: dilemma case report, literature review and proposed diagnostic criteria. J Clin Diagn Res, 2015. 9(11): p. OE01.##Weinberger, A., et al., Endocardial fibrosis following busulfan treatment. JAMA, 1975. 231(5): p. 495-495.##Hagenburg, J., et al., Pulmonary hypertension associated with busulfan. Pulm Circ, 2021. 11(4): p. 20458940211030170.##Feliz, V., et al., Melphalan-induced supraventricular tachycardia: incidence and risk factors. Clin Cardiol, 2011. 34(6): p. 356-9.##Ell, P., et al., Cardiotoxicity of Radiation Therapy: Mechanisms, Management, and Mitigation. Curr Treat Options Oncol, 2021. 22(8): p. 70.##Walls, G.M., et al., Cardiotoxicity following thoracic radiotherapy for lung cancer. British Journal of Cancer, 2025. 132(4): p. 311-325.##Mancilla, T.R., B. Iskra, and G.J. Aune, Doxorubicin-Induced Cardiomyopathy in Children. Compr Physiol, 2019. 9(3): p. 905-931.##Schmidt, M.L., et al., Favorable prognosis for patients 12 to 18 months of age with stage 4 nonamplified MYCN neuroblastoma: a Children's Cancer Group Study. J Clin Oncol, 2005. 23(27): p. 6474-80.##Conces, M.R., Peripheral neuroblastic tumors of the adrenal gland: clinicopathologic features and important molecular alterations. Diagn Histopathol (Oxf), 2020. 26(5): p. 200-206.##Singh, V., L. Tyngkan, and A.R. Bhat, Rare Atypical Presentation of a Neuroblastoma of Posterior Mediastinum. 2021.##Kinsella, C., et al., Neuroblastoma and life-threatening tracheal obstruction: A case report and literature review. International Journal of Pediatric Otorhinolaryngology Extra, 2011. 6(3): p. 146-148.##Kojima, M., et al., Detection of MYCN amplification using blood plasma: noninvasive therapy evaluation and prediction of prognosis in neuroblastoma. Pediatr Surg Int, 2013. 29(11): p. 1139-45.##Häberle, B., et al., Characteristics and outcome of thoracic neuroblastoma. Eur J Pediatr Surg, 2002. 12(3): p. 145-50.##Moroz, V., et al., The prognostic strength of serum LDH and serum ferritin in children with neuroblastoma: A report from the International Neuroblastoma Risk Group (INRG) project. Pediatr Blood Cancer, 2020. 67(8): p. e28359.##Smith, D.K., D.P. Kuckel, and A.M. Recidoro, Community-acquired pneumonia in children: rapid evidence review. American family physician, 2021. 104(6): p. 618-625.##Ortiz-Alvarez, O., et al., Managing the paediatric patient with an acute asthma exacerbation. Paediatrics &#38; child health, 2012. 17(5): p. 251-255.## ##</REF>
			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>Zinc Sulphate for Prevention of Breast Cancer Radiation Therapy-Induced Dermatitis: A Three-arm Triple-blinded Randomized Clinical Trial</TitleF>
		<TitleE></TitleE>
		<TitleLang_ID>2</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Background: Radiation therapy (RT)-induced dermatitis is a common side effect in breast cancer patients that impacts quality of life and treatment compliance. Although zinc sulphate has shown potential for reducing skin lesions in preclinical studies, clinical evidence is still limited.
Methods: In this three-arm triple-blinded randomized trial, 180 breast cancer patients scheduled for whole breast RT were allocated to receive zinc sulphate 150mg/day (n=60), zinc sulphate 100 mg/day (n=60), or placebo (n=60) during RT. The primary outcome was dermatitis severity per Radiation Therapy Oncology Group (RTOG) criteria at pre-specified time points through weeks 1 to 5 during RT and months 1 and 2 after RT cessation.
Results: Dermatitis severity was significantly lower in both zinc sulphate arms versus placebo from weeks 3-5 of RT (p&#60;0.01). Moreover, the 150 mg/day arm showed lower dermatitis severity versus 100 mg/day in week 5 of RT (p&#60;0.001), with mean RTOG scores of 0.33&#177;0.47 for 150 mg/day, 0.75&#177;0.62 for 100 mg/day, and 1.30&#177;0.74 for the placebo group. Analysis of dermatitis trends revealed a dose-dependent pattern, with 150 mg/day showing an earlier plateau in severity escalation. No significant drug adverse effects were observed.
Conclusions: Zinc sulphate supplementation during breast cancer RT mitigates the incidence and severity of acute radiation dermatitis in a potentially dose-dependent manner, which demonstrates the potential to improve patient quality of life by reducing RT-related skin toxicity. Further research on optimal dosing and long-term effects is warranted.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>24</FPAGE>
			<TPAGE>33</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2025/04/112025/03/252025/04/27
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1404/2/7
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2025/05/222025/06/152025/06/25
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1404/4/4
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>Sarah</Name>
				<MidName></MidName>
				<Family>Aflatoonian</Family>
				<NameE>Sarah</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Aflatoonian</FamilyE>
				<Organizations>
				<Organization>Department of Radiation Oncology, Kerman University of Medical Sciences, Kerman, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>Sarah.aflatoonian@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Sara</Name>
				<MidName></MidName>
				<Family>Shamsi</Family>
				<NameE>Sara</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Shamsi</FamilyE>
				<Organizations>
				<Organization>Department of Radiation Oncology, Kerman University of Medical Sciences, Kerman, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Mehran</Name>
				<MidName></MidName>
				<Family>Ilaghi</Family>
				<NameE>Mehran</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Ilaghi</FamilyE>
				<Organizations>
				<Organization>Institute of Neuropharmacology, Kerman Neuroscience Research Center, Kerman University of Medical Sciences, Kerman, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Samira</Name>
				<MidName></MidName>
				<Family>Yazdani</Family>
				<NameE>Samira</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Yazdani</FamilyE>
				<Organizations>
				<Organization>Department of Radiation Oncology, Kerman University of Medical Sciences, Kerman, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Mostafa</Name>
				<MidName></MidName>
				<Family>Eghbalian</Family>
				<NameE>Mostafa</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Eghbalian</FamilyE>
				<Organizations>
				<Organization>Department of Epidemiology and Biostatistics, Faculty of Public Health, Social Determinants of Health Research Center, Gonabad University of Medical Sciences, Gonabad, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Maryam</Name>
				<MidName></MidName>
				<Family>Bahador</Family>
				<NameE>Maryam</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Bahador</FamilyE>
				<Organizations>
				<Organization>Department of Radiation Oncology, Kerman University of Medical Sciences, Kerman, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>maryamb2003@yahoo.com</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Radiation Therapy</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Dermatitis</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Skin Toxicity</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Breast Cancer</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Zinc Sulphate</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Clinical Trial</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
				<REF>Momenimovahed Z, Salehiniya H. Epidemiological characteristics of and risk factors for breast cancer in the world. Breast cancer: targets and therapy. 2019:151-64.##Dehesh T, Fadaghi S, Seyedi M, Abolhadi E, Ilaghi M, Shams P, et al. The relation between obesity and breast cancer risk in women by considering menstruation status and geographical variations: a systematic review and meta-analysis. BMC women's health. 2023;23(1):392.##Balaji K, Subramanian B, Yadav P, Radha CA, Ramasubramanian V. Radiation therapy for breast cancer: Literature review. Medical Dosimetry. 2016;41(3):253-7.##Zare SA, Bahador M, Yazdani S. Comparison of lung and contralateral scattered breast dose between field-in-field and wedge techniques in patients with early breast cancer. Frontiers in Biomedical Technologies. 2024;11(3):486-91.##Burke G, Faithfull S, Probst H. Radiation induced skin reactions during and following radiotherapy: A systematic review of interventions. Radiography. 2022;28(1):232-9.##Rzepecki A, Birnbaum M, Ohri N, Daily J, Fox J, Bodner W, et al. Characterizing the effects of radiation dermatitis on quality of life: a prospective survey-based study. Journal of the American Academy of Dermatology. 2022;86(1):161-3.##Lucey P, Zouzias C, Franco L, Chennupati SK, Kalnicki S, McLellan BN. Practice patterns for the prophylaxis and treatment of acute radiation dermatitis in the United States. Supportive Care in Cancer. 2017;25(9):2857-62.##Purswani JM, Nwankwo C, Adotama P, Gutierrez D, Perez CA, Tattersall IW, et al. Radiation-induced skin changes after breast or chest wall irradiation in patients with breast cancer and skin of color: a systematic review. Clinical Breast Cancer. 2023;23(1):1-14.##Yee C, Wang K, Asthana R, Drost L, Lam H, Lee J, et al. Radiation-induced skin toxicity in breast cancer patients: a systematic review of randomized trials. Clinical Breast Cancer. 2018;18(5):e825-e40.##Arribas Lopez E, Zand Fard N, Ojo O, Kochhar T. A systematic review and meta-analysis of the effect 2 of zinc on wound healing. British Medical Journal (The BMJ). 2024.##Costa MI, Sarmento-Ribeiro AB, Gonçalves AC. Zinc: from biological functions to therapeutic potential. International Journal of Molecular Sciences. 2023;24(5):4822.##Kim B, Lee W-W. Regulatory role of zinc in immune cell signaling. Molecules and cells. 2021;44(5):335-41.##Dhaliwal S, Nguyen M, Vaughn AR, Notay M, Chambers CJ, Sivamani RK. Effects of zinc supplementation on inflammatory skin diseases: a systematic review of the clinical evidence. American journal of clinical dermatology. 2020;21(1):21-39.##Ertekin MV, Tekin SB, Erdoğan F, Karslioğlu I, Gepdiremen A, Sezen O, et al. The effect of zinc sulphate in the prevention of radiation-induced dermatitis. Journal of radiation research. 2004;45(4):543-8.##Kandaz M, Ertekin MV, Karslıoğlu İ, Erdoğan F, Sezen O, Gepdiremen A, et al. Zinc sulfate and/or growth hormone administration for the prevention of radiation-induced dermatitis: a placebo-controlled rat model study. Biological Trace Element Research. 2017;179(1):110-6.##Gorgu S, Ilknur A, Sercan O, Rahsan H, Nalan A. The effect of zinc sulphate in the prevention of radiation induced oral mucositis in patents with head and neck cancer. International Journal of Radiation Research. 2013;11(2):111.##Moslemi D, Babaee N, Damavandi M, Pourghasem M, Moghadamnia A. Oral zinc sulphate and prevention of radiation-induced oropharyngealmucositis in patients with head and neck cancers: A double blind, randomized controlled clinical trial. International Journal of Radiation Research. 2014;12(3):235-41.##Glutsch V, Hamm H, Goebeler M. Zinc and skin: an update. JDDG: Journal der Deutschen Dermatologischen Gesellschaft. 2019;17(6):589-96.##_g##Tayal S, Kaur N, Kaur T, Chadha VD. Zinc as an adjunct in radiation-based therapies: Evidences of radioprotection and mechanistic insights. Nutrition and Health. 2025:02601060251329404.##Searle T, Ali FR, Al-Niaimi F. Zinc in dermatology. Journal of Dermatological Treatment. 2022;33(5):2455-8.##Ogawa Y, Kinoshita M, Shimada S, Kawamura T. Zinc and skin disorders. Nutrients. 2018;10(2):199.##Penny ME. Zinc supplementation in public health. Annals of Nutrition and Metabolism. 2013;62(Suppl. 1):31-42.##Anandhi P, Sharief RM, Rahila C. The benefit of zinc sulfate in oropharyngeal mucositis during hyperfractionated accelerated concomitant boost radiotherapy with concurrent cisplatin for advanced-stage oropharyngeal and hypopharyngeal cancers. Indian Journal of Palliative Care. 2020;26(4):437.##Ertekin MV, Koç M, Karslioǧlu I, Sezen O. Zinc sulfate in the prevention of radiation-induced oropharyngeal mucositis: a prospective, placebo-controlled, randomized study. International Journal of Radiation Oncology* Biology* Physics. 2004;58(1):167-74.##Sangthawan D, Phungrassami T, Sinkitjarurnchai W. A randomized double-blind, placebo-controlled trial of zinc sulfate supplementation for alleviation of radiation-induced oral mucositis and pharyngitis in head and neck cancer patients. J Med Assoc Thai. 2013;96(1):69-76.##Mosalaei A, Nasrolahi H, Shafizad A, Ahmadloo N, Ansari M, Mosleh-Shirazi MA, et al. Effect of Oral Zinc Sulphate in Prevention of Radiation Induced Oropharyngeal Mucositis During and After Radiotherapy in Patients with Head and Neck Cancers. Middle East Journal of Cancer. 2010;1(2):69-76.##Shuai T, Tian X, Shi B, Chen H, Liu X-L, Yi L-J, et al. Prophylaxis with oral zinc sulfate against radiation induced oral mucositis in patients with head and neck cancers: a systematic review and meta-analysis of four randomized controlled trials. Frontiers in oncology. 2019;9:165.##Lomax ME, Folkes LK, O'Neill P. Biological consequences of radiation-induced DNA damage: relevance to radiotherapy. Clinical oncology. 2013;25(10):578-85.##Wei J, Meng L, Hou X, Qu C, Wang B, Xin Y, et al. Radiation-induced skin reactions: mechanism and treatment. Cancer management and research. 2018:167-77.##Rübe CE, Freyter BM, Tewary G, Roemer K, Hecht M, Rübe C. Radiation dermatitis: radiation-induced effects on the structural and immunological barrier function of the epidermis. International Journal of Molecular Sciences. 2024;25(6):3320.##Hegedus F, Mathew LM, Schwartz RA. Radiation dermatitis: an overview. International journal of dermatology. 2017;56(9):909-14.##Wu FY-H, Wu C-W. The role of zinc in DNA and RNA polymerases. Metal ions in biological systems. 2023:157-92.##Palermo G, Cavalli A, Klein ML, Alfonso-Prieto M, Dal Peraro M, De Vivo M. Catalytic metal ions and enzymatic processing of DNA and RNA. Accounts of chemical research. 2015;48(2):220-8.##Cassandri M, Smirnov A, Novelli F, Pitolli C, Agostini M, Malewicz M, et al. Zinc-finger proteins in health and disease. Cell death discovery. 2017;3(1):1-12.##Abdou I, Poirier GG, Hendzel MJ, Weinfeld M. DNA ligase III acts as a DNA strand break sensor in the cellular orchestration of DNA strand break repair. Nucleic acids research. 2015;43(2):875-92.##Chasapis CT, Ntoupa P-SA, Spiliopoulou CA, Stefanidou ME. Recent aspects of the effects of zinc on human health. Archives of toxicology. 2020;94(5):1443-60.##Ogawa Y, Kawamura T, Shimada S. Zinc and skin biology. Archives of biochemistry and biophysics. 2016;611:113-9.##Jarosz M, Olbert M, Wyszogrodzka G, Młyniec K, Librowski T. Antioxidant and anti-inflammatory effects of zinc. Zinc-dependent NF-κB signaling. Inflammopharmacology. 2017;25(1):11-24.##Prasad AS. Zinc: an antioxidant and anti-inflammatory agent: role of zinc in degenerative disorders of aging. Journal of Trace Elements in Medicine and Biology. 2014;28(4):364-71.## ##</REF>
			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>Enhancing Cancer Zone Diagnosis in MRI Images: A Novel SOM Neural Network Approach with Block Processing in the Presence of Noise</TitleF>
		<TitleE></TitleE>
		<TitleLang_ID>2</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Background: Brain tumors are a specific disease that directly affects the brain. Magnetic Resonance Imaging (MRI) is considered the most effective imaging technique for diagnosing brain tumors, providing crucial information about tumor size, location, and type. However, accurately segmenting and extracting the tumor region from MRI images is a challenging task for radiologists and physicians, impacting the overall accuracy of diagnosis.
Methods: This research focuses on addressing the challenges of brain tumor detection and segmentation in MRI images. In line with the recent trend of big data analysis, neuroimaging data, including MRI images, are considered an important subset of big data due to their volume, velocity, and variety. The proposed approach utilizes the Self Organizing Maps (SOM) Neural Network, a powerful concept in image processing, to handle noise and artifacts in brain MRI.
Results: The proposed method employs image segmentation to focus on smaller parts of the brain and utilizes the SOM neural network for noise reduction, enhancing the processing of noisy brain images. The approach incorporates block processing to effectively approximate the suspected cancer zone, facilitating accurate medical diagnosis. The algorithm achieves precise specification of brain image zones by learning the unique SOM algorithm and setting an edge detection threshold. Experimental results demonstrate the superior performance of the proposed method, surpassing previous approaches, with a precision of over 10% in diagnosing abnormal brain areas.
Conclusion: The study highlights the importance of MRI in brain tumor diagnosis and the challenges associated with accurate tumor segmentation. The proposed approach using the SOM Neural Network effectively addresses these challenges by reducing noise, enabling block processing, and enhancing the precision of tumor detection. Results indicate the potential of the proposed method to significantly improve brain tumor diagnosis and contribute to advancements in medical imaging for neuroimaging applications.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>34</FPAGE>
			<TPAGE>45</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2025/04/112025/03/252025/04/272025/04/22
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1404/2/2
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2025/05/222025/06/152025/06/252025/06/14
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1404/3/24
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>Payam</Name>
				<MidName></MidName>
				<Family>Porkar</Family>
				<NameE>Payam</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Porkar</FamilyE>
				<Organizations>
				<Organization>Institute of Artificial Intelligence, Shaoxing University, Zhejiang, China.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>Rezaieh.Porkar@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Faranak</Name>
				<MidName></MidName>
				<Family>Mehrabipour</Family>
				<NameE>Faranak</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Mehrabipour</FamilyE>
				<Organizations>
				<Organization>Computer Department, Islamic Azad University, Damavand Branch, Damavand, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Mohammad Hossein</Name>
				<MidName></MidName>
				<Family>Pourasad</Family>
				<NameE>Mohammad Hossein</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Pourasad</FamilyE>
				<Organizations>
				<Organization>School of paramedical, Kermanshah University of Medical Sciences, Kermanshah, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Ali Akbar</Name>
				<MidName></MidName>
				<Family>Movassagh</Family>
				<NameE>Ali Akbar</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Movassagh</FamilyE>
				<Organizations>
				<Organization>Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Kobra</Name>
				<MidName></MidName>
				<Family>nazari</Family>
				<NameE>Kobra</NameE>
				<MidNameE></MidNameE>
				<FamilyE>nazari</FamilyE>
				<Organizations>
				<Organization>Department of mathematics, Vali-E-Asr university of Rafsanjani, Rafsanjani, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Pasha</Name>
				<MidName></MidName>
				<Family>Porkar</Family>
				<NameE>Pasha</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Porkar</FamilyE>
				<Organizations>
				<Organization>Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven 5600 MB, Netherlands.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Mustafa</Name>
				<MidName></MidName>
				<Family>Ghaderzadeh</Family>
				<NameE>Mustafa</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Ghaderzadeh</FamilyE>
				<Organizations>
				<Organization>Boukan Faculty of Medical Sciences, Urmia University of Medical Sciences, Urmia, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>Mustaf.ghaderzadeh@sbmu.ac.ir</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Mehdi</Name>
				<MidName></MidName>
				<Family>Gheisari</Family>
				<NameE>Mehdi</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Gheisari</FamilyE>
				<Organizations>
				<Organization>Institute of Artificial Intelligence, Shaoxing University, Zhejiang, China.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>mehdi.gheisari61@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Cirruse</Name>
				<MidName></MidName>
				<Family>Salehnasab</Family>
				<NameE>Cirruse</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Salehnasab</FamilyE>
				<Organizations>
				<Organization>Assistant Professor of Medical Informatics, Social Determinants of Health Research Center, Yasuj University of Medical Sciences, Yasuj, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>sohrab</Name>
				<MidName></MidName>
				<Family>almasi</Family>
				<NameE>sohrab</NameE>
				<MidNameE></MidNameE>
				<FamilyE>almasi</FamilyE>
				<Organizations>
				<Organization>National Center for Health Insurance Research, Tehran, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Brain Tomur</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Magnetic Resonance Imaging</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Edge detection</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Image processing</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Segmentation</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Self-Organizing Maps</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Neural network</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
				<REF>Mei P. A, de Carvalho Carneiro C, Fraser S. J, Min L. L, &#38; Reis F, "Analysis of neoplastic lesions in magnetic resonance imaging using self-organizing maps," Journal of the Neurological Sciences, vol.359, no. 1, pp.78-83,2015.##Yongsheng Rao, Saeed Kosari, et al, "New Results in Vague Incidence Graphs with Application", Journal of Function Spaces, vol. 2022, Article ID 3475536, 7 pages, 2022##K. B. S. M. C. Lohrenz, "A Survey of Digital Image Segmentation Algorithms," Noarl Report, 1992.##ayelet Akselrod -ballin, "A Region Based Convolutional network for Tumor Detection and Classification in Breast Mammography," International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis ,2016.##S. M. Ujjwal Maulik, "Medical Image Segmentation Using Genetic Algorithms," IEEE transactions on information technology in biomedicine, vol.13, no.2, pp.166-73, 2009.##Menze B. H, et al, "The multimodal brain tumor image segmentation benchmark (BRATS)," IEEE transactions on medical imaging, vol.34, no.10, pp.1993-2024, 2015.##Rohini J. P, Senthil C. S, and Manikandan M, "Brain tumor MRI image segmentation and detection in image processing," International Journal of Research in Engineering and Technology, vol.3, no.1,pp.1-5, 2014.##de Brébisson, Alexandre, and Giovanni Montana, "Deep neural networks for anatomical brain segmentation," arXiv preprint arXiv:1502.02445, 2015.##Moeskops P, et al, "Automatic segmentation of MR brain images with a convolutional neural network," IEEE transactions on medical imaging, vol.35, no.5,pp.1252-1261, 2016.##Patil, Dinesh D, and Sonal G Deore, "Medical image segmentation: a review," International journal of computer science and mobile computing , vol.2, no.1, pp.22-27,2013.##Balafar M. A, "Fuzzy C-mean based brain MRI segmentation algorithms," Artificial Intelligence Review ,vol.41, no.3, pp.441-449, 2014.##Sharma, Yogita, and Parminder Kaur, "Detection and extraction of brain tumor from MRI images using k-Means clustering and watershed algorithms," International Journal of Computer Science Trends and Technology ,vol.3, no.2 ,pp.32-8, 2015.##He Bing Song, Feng Zhu, and Yong Gang Shi, "Medical Image Segmentation," Advanced Materials Research, vol. 760, 2013.##Wallis, Matthew G, et al, "Two-view and single-view tomosynthesis versus full-field digital mammography: high-resolution X-ray imaging observer study," Radiology , vol.262, no.3, pp.788-796,2012.##Subhashdas, Shibudas Kattakkalil, et al, "visual image enhancement based on particle swarm optimization with Gaussian mixture," SPIE/IS&#59;T Electronic Imaging. International Society for Optics and Photonics, 2015.##Arnay, Rafael, Francisco Fumero, and Jose Sigut, "Ant Colony Optimization-based method for optic cup segmentation in retinal images," Applied Soft Computing , vol.52, 2016.##Ishak, Anis Ben, "A two-dimensional multilevel thresholding method for image segmentation," Applied Soft Computing , vol.52, pp.306-322, 2017.##Nabizadeh N, and Kubat M, "Brain tumors detection and segmentation in MR images: Gabor wavelet vs. statistical features," Computers &#38; Electrical Engineering, vol.45, pp.286-301, 2015.##Reza Fakouri, Payam Porkar, Mahmood Fathy "Region-based Image GA Clustering and Retrieval with Relevance Feedback," International Conference Image and Vision Computing, 2008 International Conference on Computer and Electrical Engineering, pp.383-387, 2008.##M Ghayoumi, et al, "Correlation Error Reduction of Image in Stereo Vision with Fuzzy Method and its Application on Cartesian Robot," Advanced In Artificial Intelligence, Elsevier, 2006.##Payam Porkar , et al, "Recognition of Irregular Patterns Using Statistical Methods Based on Hidden Markov Model," the second international conference on information &#38; technology ,may,2005.##Rezaeiye, Payam Porkar, et al, "Statistical method used for doing better corneal junction operation," Advanced Materials Research. vol. 548, 2012.##Gheisari M, et al, "A survey to face recognition algorithms: advantageous and disadvantageous," Journal Modern Technology &#38; Engineering, vol.2, no.1, pp.57-65, 2017.##Jayaraman Sethuraman, et al "Eccentric Methodology with Optimization to Unearth Hidden Facts of Search Engine Result Pages," Recent Patents on Computer Science , 2018.##Alzubi J.A, et al, "Improve Heteroscedastic Discriminant Analysis by Using CBP Algorithm," Algorithms and Architectures for Parallel Processing. ICA3PP 2018. Lecture Notes in Computer Science, vol.11335, Springer, 2018.##Yinglong Dai and Guojun Wang, "Analyzing Tongue Images Using a Conceptual Alignment Deep Autoencoder," IEEE ACCESS, vol.6, pp.5962-5972, 2018.##Ashourian, Mohsen, et al, "An Improved Node Scheduling Scheme for Resilient Packet Ring Network," Majlesi Journal of Electrical Engineering vol.9, no.2,pp. 43,2015.##Feng Wang, Wenjun Jiang, Xiaolin Li, and Guojun Wang,"Maximizing Positive Influence Spread in Online Social Networks via Fluid Dynamics," Future Generation Computer Systems, vol.86, pp.1491-1502, 2018.##Noor, F, et al "Bayesian estimation and prediction for Burr‐Rayleigh mixture model using censored data," Int J Commun Syst. 2019;e4094.##Bhattacharya, et al (2021). Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey. Sustainable cities and society, 65, 102589.##Reddy, G. T., et al (2020). Analysis of dimensionality reduction techniques on big data. IEEE Access, 8, 54776-54788.##Masud, M.;et al A Machine Learning Approach to Diagnosing Lung and Colon Cancer Using a Deep Learning-Based Classification Framework. Sensors 2021, 21, 748.##Masud, M. et al, Convolutional neural network-based models for diagnosis of breast cancer. Neural Comput &#38; Applic (2020).## ##</REF>
			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>Artificial Intelligence in Gynecologic Cancer: A Review of Applications and Advancements</TitleF>
		<TitleE></TitleE>
		<TitleLang_ID>2</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Gynecologic cancers, including cervical, ovarian, endometrial, vaginal, and vulvar malignancies, remain a major global health burden, accounting for substantial morbidity and mortality among women. Despite advances in conventional treatments such as surgery, chemotherapy, and radiotherapy, survival outcomes remain suboptimal, particularly in cases diagnosed at advanced stages. In recent years, artificial intelligence (AI) has emerged as a transformative tool in gynecologic oncology, offering novel approaches to enhance diagnostic accuracy, stratify risk, personalize treatment strategies, and streamline clinical workflows. This narrative review provides a comprehensive overview of the current and emerging applications of AI in the management of gynecologic cancers. Key developments are discussed, including deep learning models for imaging interpretation, AI-driven biomarker analysis for early detection, and predictive algorithms for assessing treatment response and toxicity risk. Additionally, the use of AI in automating cytopathology and optimizing resource allocation is explored. While early findings are promising, challenges remain regarding the generalizability of AI models across diverse populations, the need for standardized datasets, and the integration of AI tools into routine clinical practice. Addressing these limitations is essential to ensure safe, equitable, and effective implementation. Overall, this review underscores the potential of AI to significantly improve patient outcomes and clinical efficiency in gynecologic oncology. Future research and interdisciplinary collaboration will be critical in translating these innovations into real-world clinical benefit.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>46</FPAGE>
			<TPAGE>57</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2025/04/112025/03/252025/04/272025/04/222025/05/7
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1404/2/17
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2025/05/222025/06/152025/06/252025/06/142025/05/29
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1404/3/8
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>Milad</Name>
				<MidName></MidName>
				<Family>Rahimi</Family>
				<NameE>Milad</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Rahimi</FamilyE>
				<Organizations>
				<Organization>Health and Biomedical Informatics Research Center, Urmia University of Medical Sciences, Urmia, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Kasra</Name>
				<MidName></MidName>
				<Family>Kashani</Family>
				<NameE>Kasra</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Kashani</FamilyE>
				<Organizations>
				<Organization>Health and Biomedical Informatics Research Center, Urmia University of Medical Sciences, Urmia, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Vahid</Name>
				<MidName></MidName>
				<Family>Hosseinpour</Family>
				<NameE>Vahid</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Hosseinpour</FamilyE>
				<Organizations>
				<Organization>Department of Emergency Medicine, Urmia University of Medical Sciences, Urmia, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Elahe</Name>
				<MidName></MidName>
				<Family>Gozali</Family>
				<NameE>Elahe</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Gozali</FamilyE>
				<Organizations>
				<Organization>Assistant Professor, Department of Health Information Technology, School of Allied Medical Sciences, Urmia University of Medical Sciences, Urmia, Iran. Corresponding Author. ORCID: https://orcid.org/0000-0002-9211-5934. Email: gozali_e@umsu.ac.ir.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>gozali_e@umsu.ac.ir</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Gynecologic cancers</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Oncology</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Malignancy</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Artificial intelligence</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Deep learning</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Machine learning</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
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Better late than never: brachytherapy is more important than timing in treatment of locally advanced cervical cancer. Gynecologic Oncology. 2022;164(2):348-56.##Kim YA, Yang MS, Park M, Choi MG, Kim SY, Kim Y-J. Brachytherapy utilization rate and effect on survival in cervical cancer patients in Korea. Journal of gynecologic oncology. 2021;32(6):e85.##Spampinato S, Jensen NB, Pötter R, Fokdal LU, Chargari C, Lindegaard JC, et al. Severity and persistency of late gastrointestinal morbidity in locally advanced cervical cancer: lessons learned from EMBRACE-I and implications for the future. International Journal of Radiation Oncology* Biology* Physics. 2022;112(3):681-93.##Liu L, Liu J, Su Q, Chu Y, Xia H, Xu R. Performance of artificial intelligence for diagnosing cervical intraepithelial neoplasia and cervical cancer: a systematic review and meta-analysis. EClinicalMedicine. 2025;80.##Hatamikia S, Nougaret S, Panico C, Avesani G, Nero C, Boldrini L, et al. Ovarian cancer beyond imaging: integration of AI and multiomics biomarkers. European Radiology Experimental. 2023;7(1):50.##Mitchell S, Nikolopoulos M, El-Zarka A, Al-Karawi D, Al-Zaidi S, Ghai A, et al. Artificial intelligence in ultrasound diagnoses of ovarian cancer: a systematic review and meta-analysis. Cancers. 2024;16(2):422.##Wang J, Zeng Z, Li Z, Liu G, Zhang S, Luo C, et al. The clinical application of artificial intelligence in cancer precision treatment. Journal of Translational Medicine. 2025;23(1):120.##https://doi.org/10.1186/s12967-018-1501-z##Jiang Y, Wang C, Zhou S, editors. Artificial intelligence-based risk stratification, accurate diagnosis and treatment prediction in gynecologic oncology. Seminars in cancer biology; 2023: Elsevier.##Dellino M, Cerbone M, d'Amati A, Bochicchio M, Laganà AS, Etrusco A, et al. Artificial Intelligence in Cervical Cancer Screening: Opportunities and Challenges. AI. 2024;5(4):2984-3000.##Mysona DP, Kapp DS, Rohatgi A, Lee D, Mann AK, Tran P, et al. Applying artificial intelligence to gynecologic oncology: a review. Obstetrical &#38; Gynecological Survey. 2021;76(5):292-301.##Kchaou L, Mousli A, Ghorbel A, Zid KB, Zarraa S, Yahiaoui S, et al. 1309 The impact of artificial intelligence for gynaecological cancer delineation. International Journal of Gynecological Cancer. 2024;34:A557-A8.##Golan T, Purim O, Rosin D, Sapir E, Gatt M, Charas T, et al. Multi-institutional validation survey on Belong. life's conversational artificial intelligence (AI) oncology mentor," Dave. American Society of Clinical Oncology; 2024.##Baker A, Perov Y, Middleton K, Baxter J, Mullarkey D, Sangar D, et al. A comparison of artificial intelligence and human doctors for the purpose of triage and diagnosis. Frontiers in artificial intelligence. 2020;3:543405.##Li Y, Liang S, Zhu B, Liu X, Li J, Chen D, et al. 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Advancing Federated Learning: Optimizing Model Accuracy through Privacy-Conscious Data Sharing. 2024 IEEE 25th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM); 2024: IEEE.##Gillies RJ, Schabath MB. Radiomics improves cancer screening and early detection. Cancer Epidemiology, Biomarkers &#38; Prevention. 2020;29(12):2556-67.##Shah YAR, Qureshi HA, Qureshi SM, Shah SUR, Shiwlani A, Ahmad A. A Review of Evaluating Deep Learning Techniques in Hepatic Cancer Imaging: Automated Segmentation and Tumor Quantification. International Journal For Multidisciplinary Research. 2024;6(5).##Xia X, Wang J, Li Y, Peng J, Fan J, Zhang J, et al. An artificial intelligence-based full-process solution for radiotherapy: a proof of concept study on rectal cancer. Frontiers in Oncology. 2021;10:616721.##Bibault J-E, Giraud P. Deep learning for automated segmentation in radiotherapy: a narrative review. 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Unveiling the Diagnostic Potential of Linguistic Markers in Identifying Individuals with Parkinson's Disease through Artificial Intelligence: A Systematic Review. Brain Sciences. 2024;14(2):137.##Bhat C, Kopparapu SK, editors. Harnessing Speech Technology for Mental Health Assessment and Detection. Proc SMM23, Workshop on Speech, Music and Mind 2023; 2023.##Qu Y, Zhang Y, Zhou X, Wang L, Zhu X, Jin S, et al. Constructing a Predictive Model for Psychological Distress of Young‐and Middle‐Aged Gynaecological Cancer Patients. Journal of Evaluation in Clinical Practice. 2025;31(1):e14244.##Zhang A, Kamat A, Acquati C, Aratow M, Kim JS, DuVall AS, et al. Evaluating the feasibility and acceptability of an artificial-intelligence-enabled and speech-based distress screening mobile app for adolescents and young adults diagnosed with cancer: a study protocol. Cancers. 2022;14(4):914.##Gatla TR. A Next-Generation Device Utilizing Artificial Intelligence For Detecting Heart Rate Variability And Stress Management.##Fang A, Zhu H. Matching for Peer Support: Exploring Algorithmic Matching for Online Mental Health Communities. Proceedings of the ACM on Human-Computer Interaction. 2022;6(CSCW2):1-37.##Vlahovic TA, Wang Y-C, Kraut RE, Levine JM, editors. Support matching and satisfaction in an online breast cancer support community. Proceedings of the sigchi conference on human factors in computing systems; 2014.##Leung YW, Wouterloot E, Adikari A, Hirst G, De Silva D, Wong J, et al. Natural language processing-based virtual cofacilitator for online cancer support groups: protocol for an algorithm development and validation study. JMIR research protocols. 2021;10(1):e21453.##Pan A, Musheyev D, Bockelman D, Loeb S, Kabarriti AE. Assessment of artificial intelligence chatbot responses to top searched queries about cancer. JAMA oncology. 2023;9(10):1437-40.##Naseri A, Antikchi MH, Barahman M, Shirinzadeh-Dastgiri A, HaghighiKian SM, Vakili-Ojarood M, et al. AI Chatbots in Oncology: A Comparative Study of Sider Fusion AI and Perplexity AI for Gastric Cancer Patients. Indian Journal of Surgical Oncology. 2024:1-10.##Nguyen P, Fdez J, Witkowski O, editors. AI-Driven Meditation: Personalization for Inner Peace. International Conference on Computational Intelligence in Music, Sound, Art and Design (Part of EvoStar); 2024: Springer.##Chung AH, Gevirtz RN, Gharbo RS, Thiam MA, Ginsberg J. Pilot study on reducing symptoms of anxiety with a heart rate variability biofeedback wearable and remote stress management coach. Applied psychophysiology and biofeedback. 2021;46:347-58.##Nasir MS, Alam MS, Shahi FI, Kamal MS, Upreti K, Vats P, editors. Transformative Insights: Unveiling the Potential of Artificial Intelligence in the Treatment of Sleep Disorders-A Comprehensive Review. 2023 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC); 2023: IEEE.##Mikles SP, Griffin AC, Chung AE. Health information technology to support cancer survivorship care planning: A systematic review. Journal of the American Medical Informatics Association. 2021;28(10):2277-86.##Arioz U, Yildiz B, Kut R, Agim I, Üğüdücü K, editors. The Future of Applications For Clinical Decision Support Systems in Healthcare. Case Study: H2020 PERSIST Project. Proceedings of IES.##Sushil M, Kennedy VE, Miao BY, Mandair D, Zack T, Butte AJ. Extracting detailed oncologic history and treatment plan from medical oncology notes with large language models. arXiv preprint arXiv:230803853. 2023.##Lopez-Barreiro J, Garcia-Soidan JL, Alvarez-Sabucedo L, Santos-Gago JM. Artificial intelligence-powered recommender systems for promoting healthy habits and active aging: a systematic review. Applied Sciences. 2024;14(22):10220.##Feng J, Phillips RV, Malenica I, Bishara A, Hubbard AE, Celi LA, et al. Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare. NPJ digital medicine. 2022;5(1):66.##Shao J, Ma J, Zhang Q, Li W, Wang C, editors. Predicting gene mutation status via artificial intelligence technologies based on multimodal integration (MMI) to advance precision oncology. Seminars in cancer biology; 2023: Elsevier.##Bera K, Braman N, Gupta A, Velcheti V, Madabhushi A. Predicting cancer outcomes with radiomics and artificial intelligence in radiology. Nature reviews Clinical oncology. 2022;19(2):132-46.##Babu M, Lautman Z, Lin X, Sobota MH, Snyder MP. Wearable devices: implications for precision medicine and the future of health care. Annual Review of Medicine. 2024;75(1):401-15.##Jiménez-Sánchez D, López-Janeiro Á, Villalba-Esparza M, Ariz M, Kadioglu E, Masetto I, et al. Weakly supervised deep learning to predict recurrence in low-grade endometrial cancer from multiplexed immunofluorescence images. NPJ Digital Medicine. 2023;6(1):48.##Bahado-Singh RO, Ibrahim A, Al-Wahab Z, Aydas B, Radhakrishna U, Yilmaz A, et al. Precision gynecologic oncology: circulating cell free DNA epigenomic analysis, artificial intelligence and the accurate detection of ovarian cancer. Scientific Reports. 2022;12(1):18625.##Cibula D, Dostálek L, Jarkovsky J, Mom CH, Lopez A, Falconer H, et al. The annual recurrence risk model for tailored surveillance strategy in patients with cervical cancer. European journal of cancer. 2021;158:111-22.##Haque Y, Zawad RS, Rony CSA, Al Banna H, Ghosh T, Kaiser MS, et al. State-of-the-art of stress prediction from heart rate variability using artificial intelligence. Cognitive Computation. 2024;16(2):455-81.##Legris P, Bouillet B, Pâris J, Pistre P, Devaux M, Bost S, et al. Glycemic control in people with diabetes treated with cancer chemotherapy: contribution of continuous glucose monitoring. Acta Diabetologica. 2023;60(4):545-52.##Thomsen M, Kersten C, Sorbye H, Skovlund E, Glimelius B, Pfeiffer P, et al. Interleukin-6 and C-reactive protein as prognostic biomarkers in metastatic colorectal cancer. Oncotarget. 2016;7(46):75013.##Sun T, He X, Li Z. Digital twin in healthcare: Recent updates and challenges. Digital Health. 2023;9:20552076221149651.##Kaul R, Ossai C, Forkan ARM, Jayaraman PP, Zelcer J, Vaughan S, et al. The role of AI for developing digital twins in healthcare: The case of cancer care. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 2023;13(1):e1480.##Pandey H, Amod A, Jaggi K, Garg R, Jain A, Tantia V. Digital Twin Ecosystem for Oncology Clinical Operations. arXiv preprint arXiv:240917650. 2024.##Sharma V, Kumar A, Sharma K. Digital twin application in women's health: Cervical cancer diagnosis with CervixNet. Cognitive Systems Research. 2024;87:101264.##Kittrell HD, Shaikh A, Adintori PA, McCarthy P, Kohli‐Seth R, Nadkarni GN, et al. Role of artificial intelligence in critical care nutrition support and research. Nutrition in Clinical Practice. 2024;39(5):1069-80.##Reber E, Schönenberger KA, Vasiloglou MF, Stanga Z. Nutritional risk screening in cancer patients: the first step toward better clinical outcome. Frontiers in Nutrition. 2021;8:603936.##Buchan ML, Goel K, Schneider CK, Steullet V, Bratton S, Basch E. National Implementation of an Artificial Intelligence-Based Virtual Dietitian for Patients With Cancer. JCO Clinical Cancer Informatics. 2024;8:e2400085.##Connell J, Toma R, Ho C, Shen N, Moura P, Le T, et al. Evidence-based precision nutrition improves clinical outcomes by analyzing human and microbial molecular data with artificial intelligence. 2021.##Okaniwa F, Yoshida H. Evaluation of dietary management using artificial intelligence and human interventions: nonrandomized controlled trial. JMIR Formative Research. 2022;6(6):e30630.##Shen C, Wang R, Nawazish H, Wang B, Cai K, Xu B. Machine vision combined with deep learning-based approaches for food authentication: An integrative review and new insights. Comprehensive Reviews in Food Science and Food Safety. 2024;23(6):e70054.##Lu Y, Stathopoulou T, Vasiloglou MF, Christodoulidis S, Stanga Z, Mougiakakou S. An artificial intelligence-based system to assess nutrient intake for hospitalised patients. IEEE transactions on multimedia. 2020;23:1136-47.##Schmitz KH, Zhang X, Winkels R, Schleicher E, Mathis K, Doerksen S, et al. Developing "Nurse AMIE": A tablet‐based supportive care intervention for women with metastatic breast cancer. Psycho‐Oncology. 2020;29(1):232-6.##Ballinger TJ, Althouse SK, Olsen TP, Miller KD, Sledge JS. A personalized, dynamic physical activity intervention is feasible and improves energetic capacity, energy expenditure, and quality of life in breast cancer survivors. Frontiers in Oncology. 2021;11:626180.##Latreche A, Kelaiaia R, Chemori A. AI-based Human Tracking for Remote Rehabilitation Progress Monitoring. AIJR Abstracts. 2024:7-9.##Porciuncula F, Roto AV, Kumar D, Davis I, Roy S, Walsh CJ, et al. Wearable movement sensors for rehabilitation: a focused review of technological and clinical advances. Pm&#59;r. 2018;10(9):S220-S32.##Song T-A, Chowdhury SR, Malekzadeh M, Harrison S, Hoge TB, Redline S, et al. AI-Driven sleep staging from actigraphy and heart rate. Plos one. 2023;18(5):e0285703.##Watson NF, Fernandez CR. Artificial intelligence and sleep: Advancing sleep medicine. Sleep medicine reviews. 2021;59:101512.##Qiu L, Kanski B, Doerksen S, Winkels R, Schmitz KH, Abdullah S, editors. Nurse AMIE: using smart speakers to provide supportive care intervention for women with metastatic breast cancer. Extended abstracts of the 2021 CHI conference on human factors in computing systems; 2021.##Wang Y, Tian L, Liu X, Zhang H, Tang Y, Zhang H, et al. Multidimensional predictors of cancer-related fatigue based on the predisposing, precipitating, and perpetuating (3P) model: a systematic review. Cancers. 2023;15(24):5879.##Sleight AG, Crowder SL, Skarbinski J, Coen P, Parker NH, Hoogland AI, et al. A new approach to understanding cancer-related fatigue: leveraging the 3P model to facilitate risk prediction and clinical care. Cancers. 2022;14(8):1982.##Gozali E, Safdari R, Sadeghi M, Saeidi MG, Kalhori SR, Noroozinia F, Fazlollahi ZZ, Rahimi B. Preconceived stakeholders' attitude toward telepathology: implications for successful implementation. Journal of pathology informatics. 2017; 8(1);50.## ##</REF>
			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>A Comprehensive Study of Prostate Cancer and Epstein-Barr Virus Infection: A Systematic Review and Meta-analysis</TitleF>
		<TitleE></TitleE>
		<TitleLang_ID>2</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>This systematic review and meta-analysis examine the potential link between Epstein-Barr virus infection and prostate cancer development, highlighting its role in the second most common malignancy in developed countries. A complete literature search was conducted using PubMed, EMBASE, Scopus, and Web of Science to identify relevant studies published between 2002 and 2024. The study incorporated publications from various countries, peer-reviewed studies, systematic reviews, and meta-analyses as supplementary sources to identify additional relevant studies. The study analyzed data from 16 articles, involving 1,340 PC cases, assessing EBV detection based on geographical distribution, publication year, and EBV-positive cases. The odds ratio for EBV-associated PC was 26.79%, with a global prevalence of 0.38. The study indicates regional variations in EBV positivity among PC cases, suggesting a possible link between EBV infection and PC, but further research is needed to clarify its role.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>58</FPAGE>
			<TPAGE>69</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2025/04/112025/03/252025/04/272025/04/222025/05/72025/05/23
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1404/3/2
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2025/05/222025/06/152025/06/252025/06/142025/05/292025/06/21
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1404/3/31
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>Abolfazl</Name>
				<MidName></MidName>
				<Family>Jafari-Sales</Family>
				<NameE>Abolfazl</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Jafari-Sales</FamilyE>
				<Organizations>
				<Organization>Department of Microbiology, Kaz.C., Islamic Azad University, Kazerun, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Parisa</Name>
				<MidName></MidName>
				<Family>Shiri Aghbash</Family>
				<NameE>Parisa</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Shiri Aghbash</FamilyE>
				<Organizations>
				<Organization>Department of Virology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Zahra</Name>
				<MidName></MidName>
				<Family>Sadeghi-Deylamdeh</Family>
				<NameE>Zahra</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Sadeghi-Deylamdeh</FamilyE>
				<Organizations>
				<Organization>Department of Biology, Faculty of Sciences, Malayer Branch, Malayer, Iran</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Fatemeh</Name>
				<MidName></MidName>
				<Family>Jahangirimehr</Family>
				<NameE>Fatemeh</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Jahangirimehr</FamilyE>
				<Organizations>
				<Organization>Department of Epidemiology and Biostatistics, School of Public Health, Isfahan University of Medical Sciences, Isfahan, Iran</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Sayed Mohsen</Name>
				<MidName></MidName>
				<Family>Hosseini</Family>
				<NameE>Sayed Mohsen</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Hosseini</FamilyE>
				<Organizations>
				<Organization>Department of Epidemiology and Biostatistics, School of Public Health, Isfahan University of Medical Sciences, Isfahan, Iran</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Nooshin</Name>
				<MidName></MidName>
				<Family>Amini</Family>
				<NameE>Nooshin</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Amini</FamilyE>
				<Organizations>
				<Organization>Department of Medical Nanotechnology, Tehran University of Medical Sciences, Tehran, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Mehrdad</Name>
				<MidName></MidName>
				<Family>Pashazadeh</Family>
				<NameE>Mehrdad</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Pashazadeh</FamilyE>
				<Organizations>
				<Organization>Department of Medical Laboratory Sciences and Microbiology, Faculty of Medical Sciences, TaMS.C., Islamic Azad University, Tabriz, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>mehrdadpashazadeh85@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Hamidreza</Name>
				<MidName></MidName>
				<Family>Fathi</Family>
				<NameE>Hamidreza</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Fathi</FamilyE>
				<Organizations>
				<Organization>Department of Virology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Hossein</Name>
				<MidName></MidName>
				<Family>Bannazadeh Baghi</Family>
				<NameE>Hossein</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Bannazadeh Baghi</FamilyE>
				<Organizations>
				<Organization>Department of Virology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>hb.zadeh@gmail.com</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Epstein-Barr virus</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Prevalence</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Prostate cancer</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Risk factor</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
				<REF>Pienta, K.J. and P.S. Esper, Risk factors for prostate cancer. Ann Intern Med, 1993. 118(10): p. 793-803.##Bray, F., et al., Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin, 2024. 74(3): p. 229-263.##Baladehi, R.F., et al., The Effect of Oncogene Proteins of Human Papillomaviruses on Apoptosis Pathways in Prostate Cancer. Oncologie, 2022. 24(2): p. 227-245.##Merriel, S.W., G. Funston, and W. Hamilton, Prostate cancer in primary care. Advances in therapy, 2018. 35(9): p. 1285-1294.##King, A. and J. Broggio, Cancer registration statistics, England: 2016, 2018. Office of National Statistics: England.##Rosen, R., et al., Lower urinary tract symptoms and male sexual dysfunction: the multinational survey of the aging male (MSAM-7). Eur Urol, 2003. 44(6): p. 637-49.##Correas, J.M., et al., Advanced ultrasound in the diagnosis of prostate cancer. World J Urol, 2021. 39(3): p. 661-676.##Cirulli, G.O., et al., Comparing PSA Screening Patterns and Their Role as Predictor of Prostate Cancer Diagnosis: Analysis of a Contemporary North American Cohort. Prostate, 2025: p. e24856.##Fazekas, T., et al., Magnetic Resonance Imaging in Prostate Cancer Screening: A Systematic Review and Meta-Analysis. JAMA Oncol, 2024. 10(6): p. 745-754.##Xiang, J., et al., Transperineal versus transrectal prostate biopsy in the diagnosis of prostate cancer: a systematic review and meta-analysis. World J Surg Oncol, 2019. 17(1): p. 31.##Mallah, H., et al., Prostate Cancer: A Journey Through Its History and Recent Developments. Cancers (Basel), 2025. 17(2).##Mandel, A., et al., Urology robotic prostate surgery, in Handbook of Robotic Surgery. 2025, Elsevier. p. 397-405.##Ibrahim, I., et al., Impact of Centralisation of Radical Prostatectomy Driven by the Introduction of Robotic Systems on Positive Surgical Margin and Biochemical Recurrence in pT2 Prostate Cancer. Cancer Med, 2025. 14(2): p. e70514.##Slevin, F., et al., A Systematic Review of the Efficacy and Toxicity of Brachytherapy Boost Combined with External Beam Radiotherapy for Nonmetastatic Prostate Cancer. Eur Urol Oncol, 2024. 7(4): p. 677-696.##Roy, S., et al., Helical Tomotherapy Versus 3-Dimensional Conformal Radiation Therapy in High-Risk Prostate Cancer: A Phase 3 Randomized Controlled Trial. Int J Radiat Oncol Biol Phys, 2024. 120(5): p. 1386-1393.##Efstathiou, J.A., et al., Prostate Advanced Radiation Technologies Investigating Quality of Life (PARTIQoL): Phase III Randomized Clinical Trial of Proton Therapy vs. IMRT for Localized Prostate Cancer. International Journal of Radiation Oncology*Biology*Physics, 2024. 120(2).##Sosa, A.J., et al., Proton therapy toxicity outcomes for localized prostate cancer: Long-term results at a comprehensive cancer center. Clin Transl Radiat Oncol, 2024. 48: p. 100822.##Board, P.A.T.E., Prostate Cáncer Treatment (PDQ®), in PDQ Cancer Information Summaries [Internet]. 2020, National Cancer Institute (US).##Desai, K., J.M. McManus, and N. Sharifi, Hormonal Therapy for Prostate Cancer. Endocr Rev, 2021. 42(3): p. 354-373.##Preciado, M.V., et al., Presence of Epstein-Barr virus and strain type assignment in Argentine childhood Hodgkin's disease. Blood, 1995. 86(10): p. 3922-9.##Jafari-Sales, A., et al., The presence of human papillomavirus and Epstein-Barr virus infection in gastric cancer: a systematic study. Oncologie, 2022. 24(3): p. 413-426.##Ebrahimi, F., et al., Coinfection of EBV with other pathogens: a narrative review. Frontiers in Virology, 2024. 4: p. 1482329.##Takada, K., Epstein-Barr virus and gastric carcinoma. Mol Pathol, 2000. 53(5): p. 255-61.##Ebadi, A., et al., The frequency of Epstein-Barr virus EBNA-1 and BARF-1 genes in gastric adenocarcinoma patients. Health Biotechnology and Biopharma (HBB), 2024. 8(2): p. 1-15.##Ebadi, A., et al., Investigating the role of microRNAs, inflammation, and Helicobacter pylori in Epstein-Barr virus associated gastric cancer. Journal of Experimental and Clinical Medicine, 2023. 40(3): p. 646-658.##Wong, M.P., et al., In situ detection of Epstein-Barr virus in non-small cell lung carcinomas. J Pathol, 1995. 177(3): p. 233-40.##Fina, F., et al., Frequency and genome load of Epstein-Barr virus in 509 breast cancers from different geographical areas. Br J Cancer, 2001. 84(6): p. 783-90.##Bergh, J., et al., No link between viral findings in the prostate and subsequent cancer development. British journal of cancer, 2007. 96(1): p. 137-139.##Sfanos, K.S., et al., A molecular analysis of prokaryotic and viral DNA sequences in prostate tissue from patients with prostate cancer indicates the presence of multiple and diverse microorganisms. Prostate, 2008. 68(3): p. 306-20.##Ittmann, M., Anatomy and Histology of the Human and Murine Prostate. Cold Spring Harb Perspect Med, 2018. 8(5): p. a030346.##McNeal, J.E., Origin and evolution of benign prostatic enlargement. Invest Urol, 1978. 15(4): p. 340-5.##McNeal, J.E., The prostate gland: morphology and pathobiology. Monogr. Urol., 1988. 9: p. 36-54.##Hammerich, K.H., G.E. Ayala, and T.M. Wheeler, Anatomy of the prostate gland and surgical pathology of prostate cancer. Cambridge University, Cambridge, 2009: p. 1-10.##Lee, C.H., O. Akin-Olugbade, and A. Kirschenbaum, Overview of prostate anatomy, histology, and pathology. Endocrinol Metab Clin North Am, 2011. 40(3): p. 565-75, viii-ix.##Fine, S.W. and V.E. Reuter, Anatomy of the prostate revisited: implications for prostate biopsy and zonal origins of prostate cancer. Histopathology, 2012. 60(1): p. 142-152.##Lee, C.H., O. Akin-Olugbade, and A. Kirschenbaum, Overview of prostate anatomy, histology, and pathology. Endocrinology and Metabolism Clinics, 2011. 40(3): p. 565-575.##IARC, W., Fact sheets Cancers [Internet]. 2018.##Gann, P.H., Risk factors for prostate cancer. Rev Urol, 2002. 4 Suppl 5(Suppl 5): p. S3-S10.##Bostwick, D.G., et al., Human prostate cancer risk factors. Cancer, 2004. 101(10 Suppl): p. 2371-490.##Perdana, N.R., et al., The Risk Factors of Prostate Cancer and Its Prevention: A Literature Review. Acta Med Indones, 2016. 48(3): p. 228-238.##Huncharek, M., et al., Smoking as a risk factor for prostate cancer: a meta-analysis of 24 prospective cohort studies. American journal of public health, 2010. 100(4): p. 693-701.##Nowalk, A. and M. Green, Epstein-Barr Virus. Microbiol Spectr, 2016. 4(3): p. 127-134.##Tselis, A.C. and H.B. Jenson, Epstein-Barr virus. 2006: Taylor &#38; Francis New York:.##Thompson, M.P. and R. Kurzrock, Epstein-Barr virus and cancer. Clin Cancer Res, 2004. 10(3): p. 803-21.##Cohen, J.I., Epstein-Barr virus infection. N Engl J Med, 2000. 343(7): p. 481-92.##Middeldorp, J.M., et al., Pathogenic roles for Epstein-Barr virus (EBV) gene products in EBV-associated proliferative disorders. Crit Rev Oncol Hematol, 2003. 45(1): p. 1-36.##Aitken, C., et al., Heterogeneity within the Epstein-Barr virus nuclear antigen 2 gene in different strains of Epstein-Barr virus. Journal of general virology, 1994. 75(1): p. 95-100.##Bánáti, F., A. Koroknai, and K. Szenthe, Terminal Repeat Analysis of EBV Genomes, in Epstein Barr Virus. 2017, Springer. p. 169-177.##Cheung, A. and E. Kieff, Long internal direct repeat in Epstein-Barr virus DNA. J Virol, 1982. 44(1): p. 286-94.##Fruehling, S., et al., Tyrosine 112 of latent membrane protein 2A is essential for protein tyrosine kinase loading and regulation of Epstein-Barr virus latency. Journal of virology, 1998. 72(10): p. 7796-7806.##Tsao, S.W., et al., The role of Epstein-Barr virus in epithelial malignancies. J Pathol, 2015. 235(2): p. 323-33.##Ali, S.H.M. and S.H.M. Al-Alwany, Molecular localization of Epstein Barr virus and Rb tumor suppressor gene expression in tissues from prostatic adenocarcinoma and benign prostatic hyperplasia. Iraqi journal of biotechnology, 2014. 13(2).##Hui-Yuen, J., et al., Establishment of Epstein-Barr virus growth-transformed lymphoblastoid cell lines. Journal of visualized experiments: JoVE, 2011(57): p. 3321.##Moppert, J., et al., The concentration of IL-6, TNF-α, s-ICAM-1, and EBV DNA load-predictive factors of hepatological complications in children with infectious mononucleosis. A pilot study. Pediatria Polska-Polish Journal of Paediatrics, 2023. 98(1): p. 43-51.##Jiang, Z., et al., RB1 and p53 at the crossroad of EMT and triple-negative breast cancer. Cell cycle, 2011. 10(10): p. 1563-1570.##Iwatsuki, K., et al., A spectrum of clinical manifestations caused by host immune responses against Epstein-Barr virus infections. Acta Med Okayama, 2004. 58(4): p. 169-80.##Nevins, J.R., The Rb/E2F pathway and cancer. Hum Mol Genet, 2001. 10(7): p. 699-703.##AbdullahAbbas, A. and I.H. Saadoon, Relation of Epstein Barr virus with interleukin-10 Levelamongmen with Prostate Cancer in Ramadi City. Indian Journal of Forensic Medicine &#38; Toxicology, 2020. 14(2).##Tektook, N.K., M.F. Threafand, and E.Y. Pirko, Helicobacter pylori Infected in Iraqi Diabetic Patients (Type 2) and its Correlated with level of Proinflammatory Cytokine-17. Research Journal of Pharmacy and Technology, 2019. 12(9): p. 4255-4258.##Liberati, A., J. Tetzlaff, and D.G. Altman, Group P 2009 Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Available: http://journals. plos. org/plosmedicine/article.##Morgan, R.L., et al., Evaluation of the risk of bias in non-randomized studies of interventions (ROBINS-I) and the 'target experiment' concept in studies of exposures: Rationale and preliminary instrument development. Environ Int, 2018. 120: p. 382-387.##Sterne, J.A., et al., ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ, 2016. 355: p. i4919.##Grinstein, S., et al., Demonstration of Epstein-Barr virus in carcinomas of various sites. Cancer research, 2002. 62(17): p. 4876-4878.##Whitaker, N.J., et al., Human papillomavirus and Epstein Barr virus in prostate cancer: Koilocytes indicate potential oncogenic influences of human papillomavirus in prostate cancer. Prostate, 2013. 73(3): p. 236-41.##Ali, S.H.M. and S.H.M. Al-Alwany, Molecular localization of Epstein Barr virus and Rb tumor suppressor gene expression in tissues from prostatic adenocarcinoma and benign prostatic hyperplasia. Iraqi Journal of Biotechnology, 2014. 13(2-2): p. 161-172.##Wetterauer, C., et al., Early development of human lymphomas in a prostate cancer xenograft program using triple knock-out immunocompromised mice. Prostate, 2015. 75(6): p. 585-92.##Taurozzi, A.J., et al., Spontaneous development of Epstein-Barr Virus associated human lymphomas in a prostate cancer xenograft program. PLoS One, 2017. 12(11): p. e0188228.##Mezher, M.N. and A.A.H. Auda, Relationship of Human Papilloma Virus (HPV) and Epstein Barr Virus (EBV) with Prostate Cancer in AL-Najaf Governorate. Research Journal of Pharmacy and Technology, 2017. 10(10): p. 3283-3288.##Malekshahi, S.S., et al., Epstein-Barr and BK virus in cancerous and noncancerous prostate tissue. Future Virology, 2020. 15(1): p. 13-17.##AbdullahAbbas, A. and I.H. Saadoon, Relation of Epstein Barr virus with interleukin-10 Levelamongmen with Prostate Cancer in Ramadi City. Indian Journal of Forensic Medicine &#38; Toxicology, 2020. 14(2): p. 2476-2480.##Taha, Z.N., I.H. Saadoon, and A.M. Hadi, Detection of epstein-barr virus in patients with prostate cancer and benign prostatic hyperplasia. Biochem. Cell. Arch. 20(2): p. 4443-4446.##Al-Ramahy, A.A.H., Detection of Epstein-Barr virus in prostate tissue from prostatic cancer patients in Iraq. Biomedical and Biotechnology Research Journal (BBRJ), 2021. 5(2): p. 180.##Nahand, J.S., et al., Possible role of HPV/EBV coinfection in anoikis resistance and development in prostate cancer. BMC Cancer, 2021. 21(1): p. 926.##Ahmed, K., et al., Detection and characterization of latency stage of EBV and histopathological analysis of prostatic adenocarcinoma tissues. Sci Rep, 2022. 12(1): p. 10399.##Ennaji, Y., et al., Human Papillomavirus and Epstein-Barr virus co-infection in Prostate Cancer: Observational Study. Bulletin of National Institute of Health Sciences, 2023. 141(6): p. 3455-3464.##Kiś, J., et al., Can the Epstein-Barr Virus Play a Role in the Development of Prostate Cancer? Cancers, 2024. 16(2): p. 328.##Klein, E.A. and R. Silverman, Inflammation, infection, and prostate cancer. Curr Opin Urol, 2008. 18(3): p. 315-9.##Chen, Y. and J. Wei, Identification of Pathogen Signatures in Prostate Cancer Using RNA-seq. PLoS One, 2015. 10(6): p. e0128955.##Ambalathingal, G.R., et al., BK Polyomavirus: Clinical Aspects, Immune Regulation, and Emerging Therapies. Clin Microbiol Rev, 2017. 30(2): p. 503-528.##Blanco, R., et al., Role of Epstein-Barr Virus and Human Papillomavirus Coinfection in Cervical Cancer: Epidemiology, Mechanisms and Perspectives. Pathogens, 2020. 9(9): p. 685.##Nahand, J.S., et al., Possible role of HPV/EBV coinfection in anoikis resistance and development in prostate cancer. BMC Cancer, 2021. 21(1).##Guo, L., et al., Epstein-Barr virus oncoprotein LMP1 mediates survivin upregulation by p53 contributing to G1/S cell cycle progression in nasopharyngeal carcinoma. Int J Mol Med, 2012. 29(4): p. 574-80.##Henderson, S., et al., Induction of bcl-2 expression by Epstein-Barr virus latent membrane protein 1 protects infected B cells from programmed cell death. Cell, 1991. 65(7): p. 1107-15.##Kakavandi, E., et al., Anoikis resistance and oncoviruses. J Cell Biochem, 2018. 119(3): p. 2484-2491.##Kim, Y.N., et al., Anoikis resistance: an essential prerequisite for tumor metastasis. Int J Cell Biol, 2012. 2012: p. 306879.## ##</REF>
			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>Oncogenes as Diagnostic Biomarkers in Breast Cancer: A Review of Molecular Detection and Clinical Utility</TitleF>
		<TitleE></TitleE>
		<TitleLang_ID>2</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Breast cancer management has been revolutionized by the identification of key oncogenes which serve as critical diagnostic and prognostic biomarkers. These molecular alterations influence tumor behavior, treatment response, and patient outcomes, enabling personalized therapeutic strategies. This review comprehensively examined the most prominent oncogenes&#8212;HER2, PIK3CA, MYC, and BRCA1/2&#8212;implicated in breast carcinogenesis, the technologies used for their detection, and their implications for precision oncology. HER2 amplification, found in 15-20% of breast cancers, is associated with aggressive disease but responds well to targeted therapies like trastuzumab. While IHC and FISH remain standard detection methods, emerging technologies such as NGS improve sensitivity. PIK3CA mutations, common in HR+ tumors, drive therapy resistance but can be targeted with PI3K inhibitors, though clinical responses vary. The MYC oncogene promotes tumor proliferation and poor prognosis, but its therapeutic targeting remains challenging due to its complex role. BRCA1/2 mutations significantly increase hereditary breast cancer risk, particularly in TNBC and HR+ subtypes. PARP inhibitors have shown remarkable efficacy in BRCA-mutated cancers, highlighting the importance of genetic testing. Despite these advances, challenges such as tumor heterogeneity, assay standardization, and biomarker validation persist. Future directions include multi-omics integration, liquid biopsy development, and AI-driven diagnostics to refine precision oncology approaches.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>70</FPAGE>
			<TPAGE>82</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2025/04/112025/03/252025/04/272025/04/222025/05/72025/05/232025/06/2
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1404/3/12
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2025/05/222025/06/152025/06/252025/06/142025/05/292025/06/212025/06/27
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1404/4/6
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>Amir Abbas</Name>
				<MidName></MidName>
				<Family>Esmaeilzadeh</Family>
				<NameE>Amir Abbas</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Esmaeilzadeh</FamilyE>
				<Organizations>
				<Organization>Department of Research of Salamat Yar Behesht Dayan, Dayanbiotech Co, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>ab.esmailzadeh@yahoo.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Dorsa</Name>
				<MidName></MidName>
				<Family>Azizikhezri</Family>
				<NameE>Dorsa</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Azizikhezri</FamilyE>
				<Organizations>
				<Organization>Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Zahra</Name>
				<MidName></MidName>
				<Family>Fatahi</Family>
				<NameE>Zahra</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Fatahi</FamilyE>
				<Organizations>
				<Organization>Imam reza hospital, kermanshah university of medical science, kermanshah, iran</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Hamed</Name>
				<MidName></MidName>
				<Family>Saeidi</Family>
				<NameE>Hamed</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Saeidi</FamilyE>
				<Organizations>
				<Organization>Department of Biology, Damghan Branch, Islamic Azad University, Iran</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Mohammadtaghi</Name>
				<MidName></MidName>
				<Family>Fazel</Family>
				<NameE>Mohammadtaghi</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Fazel</FamilyE>
				<Organizations>
				<Organization>Department of Research, Ocean Pharmaceutical Products Company, Tehran, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Fatemeh</Name>
				<MidName></MidName>
				<Family>Nasirzadeh</Family>
				<NameE>Fatemeh</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Nasirzadeh</FamilyE>
				<Organizations>
				<Organization>Department of Life Science Engineering, Tehran University, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Breast Cancer</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Oncogenes</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Biomarkers</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
				<REF>Sung H, Ferlay J, Siegel RL, et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021;71(3):209-249.##Perou CM, Sørlie T, Eisen MB, et al. Molecular Portraits of Human Breast Tumours. Nature. 2000;406(6797):747-752.##Duffy MJ, Harbeck N, Nap M, et al. Clinical Use of Biomarkers in Breast Cancer: Updated Guidelines from the European Group on Tumor Markers (EGTM). Eur J Cancer. 2017;75:284-298.##Vogelstein B, Kinzler KW. The Multistep Nature of Cancer. Trends Genet. 1993;9(4):138-141.##Ross JS, Slodkowska EA, Symmans WF, et al. The HER-2 Receptor and Breast Cancer: Ten Years of Targeted Anti-HER-2 Therapy and Personalized Medicine. Oncologist. 2009;14(4):320-368.##Arteaga CL, Engelman JA. ERBB Receptors: From Oncogene Discovery to Basic Science to Mechanism-Based Cancer Therapeutics. Cancer Cell. 2014;25(3):282-303.##Slamon DJ, Leyland-Jones B, Shak S, et al. Use of Chemotherapy plus a Monoclonal Antibody against HER2 for Metastatic Breast Cancer That Overexpresses HER2. N Engl J Med. 2001;344(11):783-792.##André F, Ciruelos E, Rubovszky G, et al. Alpelisib for PIK3CA-Mutated, Hormone Receptor-Positive Advanced Breast Cancer. N Engl J Med. 2019;380(20):1929-1940.##Mosele F, Remon J, Mateo J, et al. Recommendations for the Use of Next-Generation Sequencing (NGS) for Patients with Metastatic Cancers: A Report from the ESMO Precision Medicine Working Group. Ann Oncol. 2020;31(11):1491-1505.##Dawson SJ, Tsui DW, Murtaza M, et al. Analysis of Circulating Tumor DNA to Monitor Metastatic Breast Cancer. N Engl J Med. 2013;368(13):1199-1209.##Ignatiadis M, Sledge GW, Jeffrey SS. Liquid Biopsy Enters the Clinic - Implementation Issues and Future Challenges. Nat Rev Clin Oncol. 2021;18(5):297-312.##Harris LN, Ismaila N, McShane LM, et al. 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			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>Natural killer cell-based Immunotherapy for Solid tumors: A Comprehensive Review</TitleF>
		<TitleE></TitleE>
		<TitleLang_ID>2</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Natural Killer Celle (NK) are innate immune cells with potent cytotoxic activity against tumor cells, making them attractive candidates for cancer immunotherapy. While NK cell-based therapies have shown promise in hematologic malignancies, their efficacy against solid tumors remains challenging due to the immunosuppressive tumor microenvironment (TME) and limited NK cell persistence. This review discusses recent advances in NK cell-based immunotherapies, including adoptive NK cell transfer, NK cell engagers, and genetic modifications to enhance their anti-tumor activity. We also explore the barriers to effective NK cell therapies in solid tumors and potential strategies to overcome these limitations.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>83</FPAGE>
			<TPAGE>98</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2025/04/112025/03/252025/04/272025/04/222025/05/72025/05/232025/06/22025/05/15
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1404/2/25
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2025/05/222025/06/152025/06/252025/06/142025/05/292025/06/212025/06/272025/06/28
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1404/4/7
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>Vinod Kumar</Name>
				<MidName></MidName>
				<Family>Singh</Family>
				<NameE>Vinod Kumar</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Singh</FamilyE>
				<Organizations>
				<Organization>TMMC&#59;RC, Teerthanker Mahaveer University, Moradabad, UP, India.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>drvinodkumarsingh85@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Seema</Name>
				<MidName></MidName>
				<Family>Awasthi</Family>
				<NameE>Seema</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Awasthi</FamilyE>
				<Organizations>
				<Organization>TMMC&#59;RC, Teerthanker Mahaveer University, Moradabad, UP, India.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Sonika</Name>
				<MidName></MidName>
				<Family>Sharma</Family>
				<NameE>Sonika</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Sharma</FamilyE>
				<Organizations>
				<Organization>TMMC&#59;RC, Teerthanker Mahaveer University, Moradabad, UP, India.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Natural Killer (NK) Cells</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Adoptive NK Cell Transfer</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Tumor Microenvironment</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Immunosuppressive Factors</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
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Metabolic reprograming via deletion of CISH in human iPSC-derived NK cells promotes in vivo persistence and enhances anti-tumor activity. Cell Stem Cell. 2020;27(2):224-237 e226.,##Woan KV, Kim H, Bjordahl R, Davis ZB, Gaidarova S, Goulding J, Hancock B, Mahmood S, Abujarour R, Wang H, et al. Harnessing features of adaptive NK cells to generate iPSCderived NK cells for enhanced immunotherapy. Cell Stem Cell. 2021;28(12):2062-2075 e2065.].##Zhang J, Yin Z, Liang Z, Bai Y, Zhang T, Yang J, Li X, Xue L. Impacts of cryopreservation on phenotype and functionality of mononuclear cells in peripheral blood and ascites. J Transl Int Med. 2024;12(1):51-63.]##Xu R, Shi X, Huang H, Tan WS, Cai H. Development of a Me(2)SO-free cryopreservation medium and its long-term cryoprotection on the CAR-NK cells. Cryobiology. 2024;114: 104835.,##Liseth K, Ersvaer E, Abrahamsen JF, Nesthus I, Ryningen A, Bruserud O. Long-term cryopreservation of autologous stem cell grafts: a clinical and experimental study of hematopoietic and immunocompetent cells. Transfusion. 2009;49(8):1709-19.].##Reusch U, Ellwanger K, Fucek I, Muller T, Schniegler-Mattox U, Koch J, Tesar M. Cryopreservation of Natural Killer Cells Pre-Complexed with Innate Cell Engagers. Antibodies. 2022;11(1):12.]##Lee S, Joo Y, Lee EJ, Byeon Y, Kim JH, Pyo KH, Kim YS, Lim SM, Kilbride P, Iyer RK, et al. Successful expansion and cryopreservation of human natural killer cell line NK-92 for clinical manufacturing. PLoS ONE. 2024;19(2): e0294857.],##Tarannum M, Romee R, Shapiro RM. Innovative Strategies to Improve the Clinical Application of NK Cell-Based Immunotherapy. Front Immunol. 2022 Mar 25;13:859177.)##Islam R, Pupovac A, Evtimov V, Boyd N, Shu R, Boyd R, Trounson A. Enhancing a Natural Killer: Modification of NK Cells for Cancer Immunotherapy. Cells. 2021 Apr 29;10(5):1058.)##Kremer V, Ligtenberg MA, Zendehdel R, Seitz C, Duivenvoorden A, Wennerberg E, Colón E, Scherman-Plogell AH, Lundqvist A. Genetic engineering of human NK cells to express CXCR2 improves migration to renal cell carcinoma. J Immunother Cancer. 2017 Sep 19;5(1):73.)##Liu Z, Zhou Z, Dang Q, Xu H, Lv J, Li H, Han X. Immunosuppression in tumor immune microenvironment and its optimization from CAR-T cell therapy. Theranostics. 2022 Aug 29;12(14):6273-6290. doi: 10.7150/thno.76854.).##Rafei H, Daher M, Rezvani K. Chimeric antigen receptor (CAR) natural killer (NK)-cell therapy: leveraging the power of innate immunity. Br J Haematol. 2021 Apr;193(2):216-230.)##Murugan D, Murugesan V, Panchapakesan B, Rangasamy L. Nanoparticl Enhancement of Natural Killer (NK) Cell-Based Immunotherapy. Cancers (Basel). 2022 Nov 4;14(21):5438.)##Wojtukiewicz MZ, Rek MM, Karpowicz K, Górska M, Polityńska B, Wojtukiewicz AM, Moniuszko M, Radziwon P, Tucker SC, Honn KV. Inhibitors of immune checkpoints-PD-1, PDL1, CTLA-4-new opportunities for cancer patients and a new challenge for internists and general practitioners. Cancer Metastasis Rev. 2021 Sep;40(3):949-982)##Gang M, Wong P, Berrien-Elliott MM, Fehniger TA. Memory-like natural killer cells for cancer immunotherapy. Semin Hematol. 2020 Oct;57(4):185-193.)##Chu J, Gao F, Yan M, Zhao S, Yan Z, Shi B, Liu Y. Natural killer cells: a promising immunotherapy for cancer. J Transl Med. 2022 May 23;20(1):240.)##Ben-Shmuel A, Biber G, Barda-Saad M. Unleashing Natural Killer Cells in the Tumor Microenvironment-The Next Generation of Immunotherapy? Front Immunol. 2020 Feb 21;11:275.)##Zhang M, Lam KP, Xu S. Natural Killer Cell Engagers (NKCEs): a new frontier in cancer immunotherapy. Front Immunol. 2023 Aug 9;14:1207276.)##Qiao W, Dong P, Chen H, Zhang J. Advances in Induced Pluripotent Stem Cell-Derived Natural Killer Cell Therapy. Cells. 2024 Nov 29;13(23):1976.)##Goldenson BH, Hor P, Kaufman DS. iPSC-Derived Natural Killer Cell Therapies - Expansion and Targeting. Front Immunol. 2022 Feb 3;13:841107. )##Portillo AL, Monteiro JK, Rojas EA, Ritchie TM, Gillgrass A, Ashkar AA. Charting a killer course to the solid tumor: strategies to recruit and activate NK cells in the tumor microenvironment. Front Immunol. 2023 Nov 8;14:1286750.##Shi, Y., Hao, D., Qian, H. et al. Natural killer cell-based cancer immunotherapy: from basics to clinical trials. Exp Hematol Oncol 13, 101 (2024).##Trapani, J., Smyth, M. Functional significance of the perforin/granzyme cell death pathway. Nat Rev Immunol 2, 735-747 (2002).##[Prokopeva AE, Emene CC, Gomzikova MO. Antitumor immunity: role of NK cells and extracellular vesicles in cancer immunotherapy. Curr Issues Mol Biol. 2023;46(1):140-52.## ##</REF>
			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>Efficacy and Safety of Ensartinibin ALK-positive Non-Small Cell Lung Cancer Patients: A Systematic Review and Meta-analysis</TitleF>
		<TitleE></TitleE>
		<TitleLang_ID>2</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Background: NSCLC accounts for a significant proportion of global cancer mortality, with ALK-positive NSCLC constituting approximately 9% of cases. Ensartinib has demonstrated promising systemic and central CNS efficacy in clinical trials.
Methods: A systematic review and meta-analysis were performed following PRISMA guidelines, using PubMed, Web of Science, Cochrane, and Scopus databases. RCTs and cohort studies reporting outcomes such as OS, PFS, RR, and adverse events in ALK-positive NSCLC patients treated with ensartinib were included. Data were synthesized using CMA software, and heterogeneity was assessed using chi-square tests and I&#178; statistics.
Results: Six studies encompassing 1,246 patients met the inclusion criteria. Pooled analysis revealed a RR of 56% (95% CI: 45&#8211;67%) and significant improvements in OS (Mean = 41.71 months, 95% CI: 31.64&#8211;51.77) and PFS (Mean = 8.88 months, 95% CI: 4.48&#8211;13.28). Common adverse events included rash (69%), nausea (19%), vomiting (15%), and transaminitis, with ALT (49%) and AST (42%) elevations.
Conclusions: Ensartinib exhibits significant efficacy in improving OS and PFS in ALK-positive NSCLC, with manageable adverse effects. Its robust systemic and CNS activity supports its clinical utility as a second-generation ALK inhibitor. Further studies with bigger, diverse populations are warranted to validate these findings and explore long-term outcomes.

./files/site1/files/Suplemenatry_Table_1.pdf
&#160;</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>99</FPAGE>
			<TPAGE>109</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2025/04/112025/03/252025/04/272025/04/222025/05/72025/05/232025/06/22025/05/152025/05/6
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1404/2/16
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2025/05/222025/06/152025/06/252025/06/142025/05/292025/06/212025/06/272025/06/282025/06/14
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1404/3/24
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>Vinod</Name>
				<MidName></MidName>
				<Family>Kumar Singh</Family>
				<NameE>Vinod</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Kumar Singh</FamilyE>
				<Organizations>
				<Organization>TMMC&#59;RC, Teerthanker Mahaveer University, Moradabad, UP, India.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>drvinodkumarsingh85@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Seema</Name>
				<MidName></MidName>
				<Family>awasthi</Family>
				<NameE>Seema</NameE>
				<MidNameE></MidNameE>
				<FamilyE>awasthi</FamilyE>
				<Organizations>
				<Organization>TMMC&#59;RC, Teerthanker Mahaveer University, Moradabad, UP, India.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>seemaawasthi285@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Jigar</Name>
				<MidName></MidName>
				<Family>Haria</Family>
				<NameE>Jigar</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Haria</FamilyE>
				<Organizations>
				<Organization>TMMC&#59;RC, Teerthanker Mahaveer University, Moradabad, UP, India.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>jigarharia332@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Prithpal</Name>
				<MidName></MidName>
				<Family>Singh</Family>
				<NameE>Prithpal</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Singh</FamilyE>
				<Organizations>
				<Organization>TMMC&#59;RC, Teerthanker Mahaveer University, Moradabad, UP, India.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>singhmatrejaprithpal@gmail.com</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>NSCLC</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Immunotherapy</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Biomarkers</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>EGFR</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Metastasis</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
				<REF>   Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68(6):394-424. doi:10.3322/caac.21492##   Gridelli C, Peters S, Sgambato A, Casaluce F, Adjei AA, Ciardiello F. ALK inhibitors in the treatment of advanced NSCLC. Cancer Treat Rev. 2014;40(2):300-306. doi:10.1016/j.ctrv.2013.07.002##   Lee JK, Park HS, Kim D-W, et al. Comparative analyses of overall survival in patients with anaplastic lymphoma kinase-positive and matched wild-type advanced nonsmall cell lung cancer. Cancer. 2012;118(14):3579-3586. doi:10.1002/cncr.26668##   Yoshida T, Oya Y, Tanaka K, et al. Clinical impact of crizotinib on central nervous system progression in ALK-positive non-small lung cancer. Lung Cancer. 2016;97:43-47. doi:10.1016/j.lungcan.2016.04.006##   Shaw AT, Kim D-W, Nakagawa K, et al. Crizotinib versus chemotherapy in advanced ALK-positive lung cancer. N Engl J Med. 2013;368(25):2385-2394. doi:10.1056/NEJMoa1214886##   Lin JJ, Riely GJ, Shaw AT. Targeting ALK: precision medicine takes on drug resistance. Cancer Discov. 2017;7(2):137-155. doi:10.1158/2159-8290.CD-16-1123##   Costa DB, Kobayashi S, Pandya SS, et al. CSF concentration of the anaplastic lymphoma kinase inhibitor crizotinib. J Clin Oncol. 2011;29(15):e443-5. doi:10.1200/JCO.2010.34.1313##   Castellanos EH, Horn L. Re-Evaluating Progression in an Era of Progress: A Review of First- and Second-Line Treatment Options in Anaplastic Lymphoma Kinase-Positive Non-Small Cell Lung Cancer. Oncologist. 2016;21(6):755-761. doi:10.1634/theoncologist.2015-0396##   Shaw AT, Kim D-W, Mehra R, et al. Ceritinib in ALK-rearranged non-small-cell lung cancer. N Engl J Med. 2014;370(13):1189-1197. doi:10.1056/NEJMoa1311107##  Kim D-W, Tiseo M, Ahn M-J, et al. Brigatinib in Patients With Crizotinib-Refractory Anaplastic Lymphoma Kinase-Positive Non-Small-Cell Lung Cancer: A Randomized, Multicenter Phase II Trial. J Clin Oncol. 2017;35(22):2490-2498. doi:10.1200/JCO.2016.71.5904##  Ou S-HI, Ahn JS, De Petris L, et al. Alectinib in Crizotinib-Refractory ALK-Rearranged Non-Small-Cell Lung Cancer: A Phase II Global Study. J Clin Oncol. 2016;34(7):661-668. doi:10.1200/jco.2015.63.9443##  Horn L, Infante JR, Reckamp KL, et al. Ensartinib (X-396) in ALK-Positive Non-Small Cell Lung Cancer: Results from a First-in-Human Phase I/II, Multicenter Study. Clin Cancer Res. 2018;24(12):2771-2779. doi:10.1158/1078-0432.CCR-17-2398##  Page M, McKenzie J, Bossuyt P, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. doi:10.1136/bmj.n71##  Study Quality Assessment Tools | NHLBI, NIH. Accessed August 7, 2022. https://www.nhlbi.nih.gov/health-topics/study-quality-assessment-tools##  Horn L, Wang Z, Wu G, et al. Ensartinib vs Crizotinib for Patients With Anaplastic Lymphoma Kinase-Positive Non-Small Cell Lung Cancer: A Randomized Clinical Trial. JAMA Oncol. 2021;7(11):1617-1625. doi:10.1001/jamaoncol.2021.3523##  Yang Y, Zhou J, Zhou J, et al. Efficacy, safety, and biomarker analysis of ensartinib in crizotinib-resistant, ALK-positive non-small-cell lung cancer: a multicentre, phase 2 trial. Lancet Respir Med. 2020;8(1):45-53. doi:10.1016/S2213-2600(19)30252-8##  Ai X, Wang Q, Cheng Y, et al. Safety but Limited Efficacy of Ensartinib in ROS1-Positive NSCLC: A Single-Arm, Multicenter Phase 2 Study. J Thorac Oncol. 2021;16(11):1959-1963. doi:10.1016/j.jtho.2021.06.023##  Yuan X, Wang Y, Yang M, et al. A retrospective study of ensartinib-treated ALK-positive locally advanced or metastatic NSCLC patients in China. Lung Cancer Manag. 2023;12(4):LMT61. doi:10.2217/lmt-2023-0005##  Ma Y, Pan H, Liu Y, et al. Ensartinib in advanced ALK-positive non-small cell lung cancer: a multicenter, open-label, two-staged, phase 1 trial. J Thorac Dis. 2022;14(12):4751-4762. doi:10.21037/jtd-22-1606##  Zheng J, Wang T, Yang Y, et al. Updated overall survival and circulating tumor DNA analysis of ensartinib for crizotinib-refractory ALK-positive NSCLC from a phase II study. Cancer Commun (Lond). 2024;44(4):455-468. doi:10.1002/cac2.12524## ##</REF>
			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>Visual and Tumor Outcomes After Surgical Intervention in Optic Pathway Gliomas: A Systematic Review</TitleF>
		<TitleE></TitleE>
		<TitleLang_ID>2</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Background: Optic pathway gliomas (OPGs) are rare tumors predominantly affecting children and are often associated with neurofibromatosis type 1 (NF1). Their variable clinical course and critical visual and neuroendocrine pathway involvement present significant management challenges. This systematic review aims to evaluate the role of surgical intervention in OPGs, focusing on its impact on visual outcomes, postoperative tumor status, and treatment-related complications.
Methods: A systematic review was conducted following PRISMA guidelines. Data were extracted from peer-reviewed studies reporting surgical outcomes in OPG patients, including Dodge classification, type of surgical approach, intervention details, visual outcomes, tumor progression, progression-free survival (PFS), overall survival (OS), and complications.
Results: A total of 13 studies comprising 661 patients were included. Dodge Type III tumors were the most commonly reported. Surgical interventions included biopsy, subtotal resections, gross total resection (GTR), and debulking. Visual outcomes were variable; visual improvement was observed in a minority of cases, stable vision was the most commonly reported outcome, and others documented visual deterioration. Tumor status after surgery was stable in a majority of patients (up to 62,8%). Reported PFS and OS show 5-year OS rates ranging from 84.1% to 97.7% and PFS rates from 47.7% to 70.6%, indicating high survival with moderate variability in disease progression. Reported complications included visual loss, endocrine dysfunction, shunt failure, and mortality in a small subset.
Conclusion: Surgical intervention in OPGs is mainly diagnostic or decompressing. Visual improvement is uncommon; stability is more frequent. Aggressive surgery risks deterioration, highlighting the need for careful planning and standardized studies to guide management.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>110</FPAGE>
			<TPAGE>123</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2025/04/112025/03/252025/04/272025/04/222025/05/72025/05/232025/06/22025/05/152025/05/62025/05/26
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1404/3/5
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2025/05/222025/06/152025/06/252025/06/142025/05/292025/06/212025/06/272025/06/282025/06/142025/06/13
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1404/3/23
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>Alivery Raihanada</Name>
				<MidName></MidName>
				<Family>Armando</Family>
				<NameE>Alivery Raihanada</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Armando</FamilyE>
				<Organizations>
				<Organization>Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Tedy</Name>
				<MidName></MidName>
				<Family>Apriawan</Family>
				<NameE>Tedy</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Apriawan</FamilyE>
				<Organizations>
				<Organization>Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>Drtedyapri@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Maimanah Zumaro Ummi</Name>
				<MidName></MidName>
				<Family>Faiqoh</Family>
				<NameE>Maimanah Zumaro Ummi</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Faiqoh</FamilyE>
				<Organizations>
				<Organization>Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Venansya Maulina</Name>
				<MidName></MidName>
				<Family>Praba</Family>
				<NameE>Venansya Maulina</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Praba</FamilyE>
				<Organizations>
				<Organization>Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Ramadhani Rizki</Name>
				<MidName></MidName>
				<Family>Zamzam</Family>
				<NameE>Ramadhani Rizki</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Zamzam</FamilyE>
				<Organizations>
				<Organization>Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Ramidha</Name>
				<MidName></MidName>
				<Family>Syaharani</Family>
				<NameE>Ramidha</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Syaharani</FamilyE>
				<Organizations>
				<Organization>Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Muhammad Zulfikar</Name>
				<MidName></MidName>
				<Family>Salim</Family>
				<NameE>Muhammad Zulfikar</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Salim</FamilyE>
				<Organizations>
				<Organization>Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Optic Nerve Glioma</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Neurosurgical Procedures</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Visual Acuity</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Recurrence</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
				<REF>Huang M, Patel J, Gasalberti DP, Patel BC. Optic Nerve Glioma [Internet]. Vol. Updated 2024 Mar 26. StatPearls Publishing; 2024. Available from: https://www.ncbi.nlm.nih.gov/books/NBK557878/##Walker DA, Aquilina K, Spoudeas H, Pilotto C, Gan HW, Meijer L. A new era for optic pathway glioma: A developmental brain tumor with life-long health consequences. Front Pediatr. 2023 Mar 24;11:1038937.##Modrzejewska M, Olejnik-Wojciechowska J, Roszyk A, Szychot E, Konczak TD, Szemitko M, et al. Optic Pathway Gliomas in Pediatric Population-Current Approach in Diagnosis and Management: Literature Review. J Clin Med. 2023 Oct 24;12(21):6709.##Albalkhi I, Shafqat A, Bin-Alamer O, Mallela AN, Gersey ZC, Fernandes Cabral D, et al. Complications and visual outcomes following surgical resection of pediatric optic pathway/hypothalamic gliomas: a systematic review and meta-analysis. Childs Nerv Syst. 2024 Jul;40(7):2033-42.##Yousefi O, Azami P, Sabahi M, Dabecco R, Adada B, Borghei-Razavi H. 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