<?xml version="1.0" encoding="utf-8"?>
<XML>
<JOURNAL>
<YEAR>2025</YEAR>
<VOL>17</VOL>
<NO>3</NO>
<MOSALSAL>0</MOSALSAL>
<PAGE_NO>105</PAGE_NO>


<ARTICLES>

	<ARTICLE> 
		<TitleF>Subcutaneous Hematoma as an Unusual Presentation of Chronic Myelogenous Leukemia following Bone Marrow Aspiration: A Case Report and Narrative Review</TitleF>
		<TitleE></TitleE>
		<TitleLang_ID>2</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Chronic myeloid leukemia (CML) is a myeloproliferative neoplasm characterized by the presence of the BCR-ABL1 fusion gene, also known as the Philadelphia chromosome. Bleeding complications are uncommon in the chronic phase of CML due to preserved platelet function. However, rare cases of subcutaneous hematoma have been reported in association with factor XIII deficiency or other coagulopathies. We report the case of a 19-year-old adolescent diagnosed with CML who developed a subcutaneous hematoma after bone marrow aspiration. The patient presented with localized swelling and tenderness at the aspiration site, which was later confirmed as a hematoma on imaging. Laboratory tests revealed a preserved platelet count, but suggested a possible underlying coagulopathy. Further investigation revealed a factor XIII deficiency contributing to the unusual presentation. This case highlights the importance of considering rare bleeding disorders, such as factor XIII deficiency, in patients with CML who present with unusual bleeding manifestations. Early recognition and management of such complications are critical for optimal patient outcomes.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>1</FPAGE>
			<TPAGE>4</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2025/07/4
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1404/4/13
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2025/09/24
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1404/7/2
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>Pourya</Name>
				<MidName></MidName>
				<Family>Mashategan</Family>
				<NameE>Pourya</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Mashategan</FamilyE>
				<Organizations>
				<Organization>Department of Pediatrics, School of Medicine, Baqiyatallah University of Medical Sciences, 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, School of Medicine, Baqiyatallah University of Medical Sciences, Tehran, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>HassanAbol@Yahoo.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Mohammad Kazem</Name>
				<MidName></MidName>
				<Family>Emami Meibodi</Family>
				<NameE>Mohammad Kazem</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Emami Meibodi</FamilyE>
				<Organizations>
				<Organization>Department of Orthopedics, School of Medicine, Baqiyatallah University of Medical Sciences, Tehran, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>dr.mkemamimeybodi@gmail.com</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Chronic myeloid leukemia</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Subcutaneous hematoma</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Bleeding complications</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Factor XIII deficiency</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>BCR-ABL fusion gene</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Bone marrow aspiration</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
				<REF>Abdullah IA, Ghada SA, Arwa ZA. Unilateral Subhyaloid Hemorrhage as a Presenting Sign of Chronic Myeloid Leukemia. American Journal of Case Reports. 2022.##Shady Adnan A, Shady Adnan A, Shady A-A, Daehong K, Daehong K, Helena H, et al. Characterization of p190-Bcr-Abl chronic myeloid leukemia reveals specific signaling pathways and therapeutic targets. Leukemia. 2020.##Zehtabcheh S, Yousefi AM, Salari S, Safa M, Momeny M, Ghaffari SH, et al. Abrogation of histone deacetylases (HDACs) decreases survival of chronic myeloid leukemia cells: New insight into attenuating effects of the PI3K/c‐Myc axis on panobinostat cytotoxicity. Cell Biology International. 2021;45(5):1111-21.##Htet Lin H, Htet Lin H, Weixiang L, Weixiang L, Joshua W, Joshua W, et al. Classic myeloproliferative neoplasms in Singapore: A population-based study on incidence, trends, and survival from 1968 to 2017. Cancer Epidemiology. 2022.##Ashraf A, Ashraf A, Sara S, Sara S, Dina Sameh S, Dina Sameh S, et al. Hematoma or Bleeding As Initial Presentation of Chronic Myeloid Leukemia (CML): Review. Blood. 2022.##David KI, Farshid D, Farshid D, Sarah Schellhorn M, Sarah Schellhorn M, Sarah Schellhorn M, et al. Prediction model for mortality after intracranial hemorrhage in patients with leukemia. American Journal of Hematology. 2011.##Höglund M, Sandin F, Simonsson B. Epidemiology of chronic myeloid leukaemia: an update. Ann Hematol. 2015;94 Suppl 2:S241-7.##Verena SH, Verena SH, Michele B, Michele B, Joerg H, Joerg H, et al. The EUTOS population-based registry: incidence and clinical characteristics of 2904 CML patients in 20 European Countries. Leukemia. 2015.##Yiming C, Yiming C, Haijun W, Haijun W, Hagop MK, Hagop MK, et al. Trends in chronic myeloid leukemia incidence and survival in the United States from 1975 to 2009. Leukemia &#38; Lymphoma. 2013.##Manoj L, Manoj L, Hans Raj P, Hans Raj P, Gopal Raj P, Gopal Raj P, et al. Spontaneous Soft Tissue Haematomas- A Rare Presentation of Chronic Myeloid Leukemic (CML). Journal of clinical and diagnostic research : JCDR. 2015.##Louise K, Louise K, Kate B, Kate B, Gaurav S, Gaurav S, et al. Gastrointestinal bleeding in a chronic myeloid leukaemia patient precipitated by dasatinib-induced platelet dysfunction: Case report. Platelets. 2015.##Vaibhav Raj G, Vaibhav Raj G, Akash S, Akash S, Neha Y, Neha Y, et al. Spontaneous scapular region hematoma extending upto anterior chest wall in a patient of chronic myeloid leukaemia: an unusual site presentation. International Surgery Journal. 2022.##Rebecca KJ, Rebecca K-J, Tammuella S, Tammuella S, Cindy L, Cindy AL. Identification and Basic Management of Bleeding Disorders in Adults. Journal of the American Board of Family Medicine. 2014.##Yanzhi W, Yanzhi W, Lina W, Lina W, Yaming X, Ya-Ming X, et al. Bleeding with negative coagulation screening test as initial presentation of chronic myelogenous leukemia managed by fresh frozen plasma: A case report. Medicine. 2019.##Ankur J, Ankur J. A rare case of chronic myeloid leukemia with acquired von Willebrand disease presenting as subdural hematoma. Journal of Cancer Research and Therapeutics. 2015.##Farjah HA, Leena A, Ghada E, Aamer A, Fatmah SA. Bleeding Diathesis as the Initial Presentation of Chronic Myeloid Leukemia: A Case Series. Cureus. 2023.## ##</REF>
			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>Detection of T315I Mutation in Ph+ Leukemias: Clinical Insights from One Case Report</TitleF>
		<TitleE></TitleE>
		<TitleLang_ID>2</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>The reciprocal translocation between chromosomes 9 and 22, known as the Philadelphia chromosome, results in the formation of the BCR/ABL fusion gene. This genetic aberration leads to dysregulation of intracellular kinase activity. The detection of the Philadelphia chromosome is a critical component of the diagnostic evaluation of myeloproliferative neoplasms and acute lymphoid leukemia. In treatments involving tyrosine kinase inhibitors, at least 70 genetic variants have been documented as factors that induce resistance to drugs. This includes the T315I mutation, which has been identified as the most prevalent in multiple countries and is of significant clinical significance. This mutation is detected in patients who have experienced therapeutic failure, thereby significantly restricting the available treatment options. In Colombia, the prevalence of this mutation and the dynamics of its appearance are not yet fully understood. Furthermore, there is a paucity of information regarding the management and prognosis of patients who express the mutation. In this study, the genomic DNA of 26 patients with Philadelphia chromosome was analyzed using the real-time molecular technique PCR. The objective was to identify the T315I genetic variant, which was positive in two of the patients diagnosed with CML. We present a case of a 39-year-old female patient diagnosed with Ph+ CML who exhibited resistance to treatment and detection of this mutation.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>5</FPAGE>
			<TPAGE>13</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2025/07/42025/07/14
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1404/4/23
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2025/09/242025/09/11
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1404/6/20
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>Carolina</Name>
				<MidName></MidName>
				<Family>Jaramillo Jaramillo</Family>
				<NameE>Carolina</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Jaramillo Jaramillo</FamilyE>
				<Organizations>
				<Organization>School of Bacteriology, Colegio Mayor de Antioquia, Colombia.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Juliana</Name>
				<MidName></MidName>
				<Family>Pérez Mejía</Family>
				<NameE>Juliana</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Pérez Mejía</FamilyE>
				<Organizations>
				<Organization>Health Sciences, Colegio Mayor de Antioquia, Colombia.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Sara María</Name>
				<MidName></MidName>
				<Family>Rave Zapata</Family>
				<NameE>Sara María</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Rave Zapata</FamilyE>
				<Organizations>
				<Organization>Antioquia, Colegio Mayor de Antioquia, Colombia.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Maria Isabel</Name>
				<MidName></MidName>
				<Family>Villa Palacio</Family>
				<NameE>Maria Isabel</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Villa Palacio</FamilyE>
				<Organizations>
				<Organization>Faculty of Health Sciences, Colegio Mayor de Antioquia, Colombia.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Diana Carolina</Name>
				<MidName></MidName>
				<Family>Velasco Cardona</Family>
				<NameE>Diana Carolina</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Velasco Cardona</FamilyE>
				<Organizations>
				<Organization>Health Sciences, Colegio Mayor de Antioquia, Colombia.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>dcvelasco@est.colmayor.edu.co</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Chronic myeloproliferative neoplasm</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Philadelphia chromosome</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>BCR/ABL.</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
				<REF>Lim MS, Leval L, Quintanilla-Martinez L. Commentary on The 2008 WHO classification of mature T- and NK-cell neoplasms. J Hematop. 2009;2(2).##Lloyd R V. Hematopathology. In: Pathology: Historical and Contemporary Aspects. Cham: Springer; 2023.##Zhang L, Liu Y, Wang L, Wang L, Zheng L, He W, et al. A novel research model of clonal evolution in mantle cell lymphoma at the single-cell genomic level. Genes Dis. 2025;12(3):101406.##Moura MC, Davalos V, Planas-Serra L, Alvarez-Errico D, Arribas C, Ruiz M, et al. Epigenome-wide association study of COVID-19 severity with respiratory failure. EBioMedicine. 2021;66.##Pérez Mejía J, Acevedo Toro P. Epigenética: una nueva herramienta para el estudio de la leucemia mieloide crónica TT - Epigenetics: a new tool for the study of chronic myeloid leukemia. 2013.##Aspa-Cilleruelo JM, de Hontanar Torres GL, Gómez MM, Mazo EM. Neoplasias mieloproliferativas crónicas. Clasificación. Leucemia mieloide crónica. Medicine - Programa de Formación Médica Continuada Acreditado. 2024 Nov;14(20):1149-56.##Roychowdhury S, Talpaz M. Managing resistance in chronic myeloid leukemia. Blood Rev. 2011;25(6).##Minciacchi VR, Kumar R, Krause DS. Chronic myeloid leukemia: a model disease of the past, present and future. Cells. 2021;10(1):117.##Nguyen T, Harama D, Tamai M, Kagami K, Komatsu C, Kasai S, et al. Synergistic effect of asciminib with reduced doses of ponatinib in human Ph+ myeloid leukemia with the T315M mutation. Int J Hematol. 2025;1-11.##Lavallade King's College London H. Chronic myeloid leukaemia. Medicine. 2013 May;##Morales C, Cárdenas V, Valencia JE, Ribón G, Manrique R. Leucemia mieloide crónica: diagnóstico y tratamiento TT - Chronic myeloid leukemia: diagnosis and treatment. CES Medicina. 2010;24(1).##Zhang Y, Rowley JD. Chronic myeloid leukemia: Current perspectives. 2011.##Valencia-Serna J, Gul-Uludaǧ H, Mahdipoor P, Jiang X, Uludaǧ H. Investigating siRNA delivery to chronic myeloid leukemia K562 cells with lipophilic polymers for therapeutic BCR-ABL down-regulation. Journal of Controlled Release. 2013;172(2).##Liu-Dumlao T, Kantarjian H, Thomas DA, O'Brien S, Ravandi F. Philadelphia-positive acute lymphoblastic leukemia: Current treatment options. Curr Oncol Rep. 2012;14(5).##Enrico A, Leukemia MJAL. Philadelphia Positive (Ph1) (Incidence Classifications, Prognostic Factor in ALL Principles of ALL Therapy. In: Clinical Epidemiology of Acute Lymphoblastic Leukemia - From the Molecules to the Clinic. 2013.##Adesanya AE. Characterization of T315I BCR-ABL1-mediated drug resistance in chronic myeloid leukemia: new regulatory mechanism and clinical detection assay. 2024.##Shafi O, Rajpar R, Kanwal F, Waqas M, Khan OJ, Raveena, et al. Leukemogenesis in Acute Lymphoblastic Leukemia through the Lens of Developmental Dynamics of Lymphoid Progenitor Cells: a systematic review [Internet]. 2024. Available from:##Baer C, Meggendorfer M, Haferlach C, Kern W, Haferlach T. Detection of ABL1 kinase domain mutations in therapy-naïve BCR-ABL1-positive acute lymphoblastic leukemia. Haematologica. 2021;107(2):562.##Rowley JD. A new consistent chromosomal abnormality in chronic myelogenous leukaemia identified by quinacrine fluorescence and Giemsa staining. Nature. 1973;243(5405).##Cortes J, Kantarjian H. Advanced-phase chronic myeloid leukemia. 2003.##Al-Ali HK, Heinrich MC, Lange T, Krahl R, Mueller M, Müller C. High incidence of BCR-ABL kinase domain mutations and absence of mutations of the PDGFR and KIT activation loops in CML patients with secondary resistance to imatinib. Hematology Journal. 2004;5(1).##Kantarjian H, Giles F, Wunderle L, Bhalla K, O'Brien S, Wassmann B. Nilotinib in Imatinib-Resistant CML and Philadelphia Chromosome-Positive ALL. New England Journal of Medicine. 2006;354(24).##Roche-Lestienne C, Soenen-Cornu V, Grardel-Duflos N, Laï JL, Philippe N, Facon T. Several types of mutations of the Abl gene can be found in chronic myeloid leukemia patients resistant to STI571, and they can pre-exist to the onset of treatment. Blood. 2002;100(3).##BJ RDR, CL HSA, HK AA, DJ ERE, SF OERE, JM OFO. Activity of a Specific Inhibitor of the Bcr-Abl Tyrosine Kinase in the Blast Crisis of Chronic Myeloid Leukemia and Acute Lymphoblastic Leukemia With the Philadelphia Chromosome. N Engl J Med. 1038;344(14).##O'Dwyer ME, Mauro MJ, Kurilik G, Mori M, Balleisen S, Olson S. The impact of clonal evolution on response to imatinib mesylate (STI571) in accelerated phase CML. Blood. 2002;100(5).##Cervantes F, Hernández-Boluda JC, Steegmann JL, Conde E, Alvarez-Larrán A, López-Jiménez J. Imatinib mesylate therapy of chronic phase chronic myeloid leukemia resistant or intolerant to interferon: Results and prognostic factors for response and progression-free survival in 150 patients. Haematologica. 2003;88(10).##Mian AA, Haberbosch I, Khamaisie H, Agbarya A, Pietsch L, Eshel E, et al. Crizotinib acts as ABL1 inhibitor combining ATP-binding with allosteric inhibition and is active against native BCR-ABL1 and its resistance and compound mutants BCR-ABL1T315I and BCR-ABL1T315I-E255K. Ann Hematol. 2021;100(8):2023-9.##Navath S, Navath PA. Advances in the Treatment of Ph+ Chronic Myeloid Leukemia: A Comprehensive Study. International Journal of Cancer Therapeutics. 2024;1(1):37-41.##https://doi.org/10.55124/jct.v1i1.235##Miething C, Feihl S, Mugler C, Grundler R, Bubnoff N, Lordick F. The Bcr-Abl mutations T315I and Y253H do not confer a growth advantage in the absence of imatinib. Leukemia. 2006;20(4).##Liu J, Zhang Y, Huang H, Lei X, Tang G, Cao X, et al. Recent advances in Bcr‐Abl tyrosine kinase inhibitors for overriding T315I mutation. Chem Biol Drug Des. 2021;97(3):649-64.##Breccia M, Abruzzese E, Castagnetti F, Bonifacio M, Gangemi D, Sorà F, et al. Ponatinib as second-line treatment in chronic phase chronic myeloid leukemia patients in real-life practice. Ann Hematol. 2018 Sep 19;97(9):1577-80.##Polo VA, Sossa C, Boquimpani C, Salazar LA, Munevar I, Gómez R, et al. Real World Evidence From 2 Decades of First-Line TKI Therapy in Chronic Myeloid Leukemia (CML): Insights From ACHO's RENEHOC Registry. Clin Lymphoma Myeloma Leuk. 2025;25(5):290- 301.##Vásquez Palacio G, Ramírez GC, Muskus CE, Torres JD, Aya CA. Detección de mutaciones en el dominio tirosina quinasa de BCR-ABL1 en pacientes colombianos con leucemia mieloide crónica LMC, resistentes al imatinib. Revista Colombiana de Cancerología. 2018 Jan;22(1):8-17.##Yolima Méndez-Camacho, Mónica Giraldo-Castaño, María Fernanda Rocha. Identification of emotional and social needs and access to health services of patients diagnosed with Chronic Myeloid Leukemia in Colombia. RevColHematolOncol. 2021;8(1):10-7.##Osman AEG, Deininger MW. Chronic Myeloid Leukemia: Modern therapies, current challenges and future directions. Blood Rev. 2021;49.##Tadesse F, Asres G, Abubeker A, Gebremedhin A, Radich J. Spectrum of BCR-ABL Mutations and Treatment Outcomes in Ethiopian Imatinib-Resistant Patients With Chronic Myeloid Leukemia. JCO Glob Oncol. 2021;##Bahram C, Zaker F, Mousavi SA, Kazemi A, Ostadali M, Nadali F. Evaluation of T315I mutation frequency in chronic myeloid leukemia patients after imatinib resistance. Hematology. 2013;18(3).##Shih LY, Kuo MC, Kuo CY, Lin TH, Bai LY, Chen TY. Emerging kinetics of BCR-ABL1 mutations and their effect on disease outcomes in chronic myeloid leukemia patients with imatinib failure. Leuk Res. 2013;37(1).##Li B, Brady SW, Ma X, Shen S, Zhang Y, Li Y. Therapy-induced mutations drive the genomic landscape of relapsed acute lymphoblastic leukemia. Blood. 2020;135(1).##Khorashad JS, Kelley TW, Szankasi P, Mason CC, Soverini S, Adrian LT. BCR-ABL1 compound mutations in tyrosine kinase inhibitor-resistant CML: Frequency and clonal relationships. Blood. 2013;121(3).##Izzo B, Gottardi EM, Errichiello S, Daraio F, Baratè C, Galimberti S. Monitoring Chronic Myeloid Leukemia: How Molecular Tools May Drive Therapeutic Approaches. 2019.##Hughes T, Deininger M, Hochhaus A, Branford S, Radich J, Kaeda J. Monitoring CML patients responding to treatment with tyrosine kinase inhibitors: Review and recommendations for harmonizing current methodology for detecting BCR-ABL transcripts and kinase domain mutations and for expressing results. 2006.##Liu J, Yang H, Xu X, Yi S, Meng L. Mutations in the bcr-abl1 kinase domain in patients with chronic myeloid leukaemia treated with tkis or at diagnosis. Oncol Lett. 2020;20(2).##Khair HE, Mohamed BA, Nour BY, Waggiallah HA. Prevalence of BCR-ABL T315I Mutation in Different Chronic Myeloid Leukemia patients Categories. Pakistan Journal of Biological Sciences. 2022;25(2).##Kim WS, Kim D, Kim DW, Kweon IY, Kim SH, Goh HG. Dynamic change of T315I BCR-ABL kinase domain mutation in Korean chronic myeloid leukaemia patients during treatment with Abl tyrosine kinase inhibitors. Hematol Oncol. 2010;28(2).## ##</REF>
			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>Comparison of Cytochemistry and Flow Cytometry for Leukemia Immunophenotyping: A Systematic Review and Meta-Analysis</TitleF>
		<TitleE></TitleE>
		<TitleLang_ID>2</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Background: Accurate diagnosis and classification of leukemia are essential for effective treatment planning. Traditional cytochemistry relies on enzyme-based staining for morphological evaluation, while flow cytometry (FCM) employs monoclonal antibodies to detect multiple surface and intracellular markers. This systematic review and meta-analysis compared the diagnostic accuracy of cytochemistry and FCM in leukemia immunophenotyping.
Methods: A systematic search of PubMed and Google Scholar was conducted according to PRISMA guidelines. Studies evaluating sensitivity, specificity, and accuracy of cytochemistry and FCM in diagnosing acute and chronic leukemia were included. Data extraction covered study characteristics, diagnostic markers, and performance outcomes. Meta-analysis was performed to compare diagnostic values across methods.
Results: Eleven eligible studies comprising pediatric and adult leukemia cases were analyzed. Cytochemical stains such as Myeloperoxidase (MPO) and Sudan Black B (SBB) showed high specificity (91&#8211;100%) and moderate-to-high sensitivity (60&#8211;97%), while Periodic Acid&#8211;Schiff (PAS) and Nonspecific Esterase (NSE) had lower reliability. FCM demonstrated superior diagnostic performance with average sensitivity of 87.7% and specificity of 85.6%, achieving &#62;95% accuracy in several studies. Marker panels including CD3, CD45, CD79a, and MPO enabled precise subtype differentiation and minimal residual disease (MRD) detection.
Conclusion: Cytochemistry remains useful as an affordable screening tool in resource-limited settings, but FCM provides greater sensitivity, specificity, and comprehensive immunophenotypic data, making it the preferred method for leukemia diagnosis and monitoring. Combining both approaches can enhance diagnostic performance across diverse clinical contexts.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>14</FPAGE>
			<TPAGE>25</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2025/07/42025/07/142025/08/19
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1404/5/28
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2025/09/242025/09/112025/09/11
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1404/6/20
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>Ajay</Name>
				<MidName></MidName>
				<Family>Kumar</Family>
				<NameE>Ajay</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Kumar</FamilyE>
				<Organizations>
				<Organization>Department of General Medicine, Teerthanker Mahaveer Medical College &#38; Research Centre,Teerthanker Mahaveer University, Moradabad, UP, India.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>drajaykumar30july@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Prithpal</Name>
				<MidName></MidName>
				<Family>Singh Matreja</Family>
				<NameE>Prithpal</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Singh Matreja</FamilyE>
				<Organizations>
				<Organization>Department of Pharmacy, Teerthanker Mahaveer Medical College &#38; Research Centre, Teerthanker Mahaveer University, Moradabad, UP, India.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Vinod</Name>
				<MidName></MidName>
				<Family>Kumar Singh</Family>
				<NameE>Vinod</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Kumar Singh</FamilyE>
				<Organizations>
				<Organization>Department of General Medicine, Teerthanker Mahaveer Medical College &#38; Research Centre,Teerthanker Mahaveer University, Moradabad, UP, India.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Seema</Name>
				<MidName></MidName>
				<Family>Awasthi</Family>
				<NameE>Seema</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Awasthi</FamilyE>
				<Organizations>
				<Organization>Department of Pathology, Teerthanker Mahaveer Medical College &#38; Research Centre,Teerthanker Mahaveer University, Moradabad, UP, India.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Leukemia</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Cytochemistry</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Flow Cytometry</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Immunophenotyping</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
				<REF>Epstein, F. H.; Cline, M. J. The Molecular Basis of Leukemia. N Engl J Med 1994, 330 (5), 328-336. ##https://doi.org/10.1056/NEJM199402033300507##Kampen, K. R. The Discovery and Early Understanding of Leukemia. Leukemia Research 2012, 36 (1), 6-13. ##https://doi.org/10.1016/j.leukres.2011.09.028##Tebbi, C. K. Etiology of Acute Leukemia: A Review. Cancers 2021, 13 (9), 2256. ##https://doi.org/10.3390/cancers13092256##Gralnick, H. R.; Galton, D. A. G.; Catovsky, D.; Sultan, C.; Bennett, J. M. Classification of Acute Leukemia. Ann Intern Med 1977, 87 (6), 740-753. ##https://doi.org/10.7326/0003-4819-87-6-740##Schumacher, H. R.; Alvares, C. J.; Blough, R. I.; Mazzella, F. Acute Leukemia. Clinics in Laboratory Medicine 2002, 22 (1), 153-192. ##https://doi.org/10.1016/S0272-2712(03)00071-4##Lin, K.; Austin, G. Functional Activity of Three Distinct Myeloperoxidase (MPO) Promoters in Human Myeloid Cells. Leukemia 2002, 16 (6), 1143-1153. ##https://doi.org/10.1038/sj.leu.2402514##Verigou, E.; Chatzilygeroudi, T.; Lazaris, V.; De Lastic, A.-L.; Symeonidis, A. Immunophenotyping Myelodysplastic Neoplasms: The Role of Flow Cytometry in the Molecular Classification Era. Front. Oncol. 2024, 14, 1447001. ##https://doi.org/10.3389/fonc.2024.1447001##on behalf of the EuroFlow Consortium; Van Dongen, J. J. M.; Orfao, A. EuroFlow: Resetting Leukemia and Lymphoma Immunophenotyping. Basis for Companion Diagnostics and Personalized Medicine. Leukemia 2012, 26 (9), 1899-1907. ##https://doi.org/10.1038/leu.2012.121##Bain, B. J.; Béné, M. C. Morphological and Immunophenotypic Clues to the WHO Categories of Acute Myeloid Leukaemia. Acta Haematol 2019, 141 (4), 232-244. ##https://doi.org/10.1159/000496097##Koeffler, H.; Ranyard, J.; Pertcheck, M. Myeloperoxidase: Its Structure and Expression during Myeloid Differentiation. Blood 1985, 65 (2), 484-491. ##https://doi.org/10.1182/blood.V65.2.484.484##Charak, B. S.; Advani, S. H.; Karandikar, S. M.; Parikh, P. M.; Nair, C. N.; Das Gupta, A.; Gopal, R.; Tapan, K. S.; Nadkarni, K. S.; Kurkure, P. A.; Pai, S. K.; Pai, V. R. Sudan Black B Positivity in Acute Lymphoblastic Leukemia. Acta Haematol 1988, 80 (4), 199-202. ##https://doi.org/10.1159/000205637##Subramaniam, H. N.; Chaubal, K. A. Evaluation of Intracellular Lipids by Standardized Staining with a Sudan Black B Fraction. Journal of Biochemical and Biophysical Methods 1990, 21 (1), 9-16. ##https://doi.org/10.1016/0165-022X(90)90040-J##Cohn, P.; Emanuel, P.; Bozdech, M. Differences in Nonspecific Esterase from Normal and Leukemic Monocytes. Blood 1987, 69 (6), 1574-1579. ##https://doi.org/10.1182/blood.V69.6.1574.1574##Van Der Pan, K.; De Bruin-Versteeg, S.; Damasceno, D.; Hernández-Delgado, A.; Van Der Sluijs-Gelling, A. J.; Van Den Bossche, W. B. L.; De Laat, I. F.; Díez, P.; Naber, B. A. E.; Diks, A. M.; Berkowska, M. A.; De Mooij, B.; Groenland, R. J.; De Bie, F. J.; Khatri, I.; Kassem, S.; De Jager, A. L.; Louis, A.; Almeida, J.; Van Gaans-van Den Brink, J. A. M.; Barkoff, A.-M.; He, Q.; Ferwerda, G.; Versteegen, P.; Berbers, G. A. M.; Orfao, A.; Van Dongen, J. J. M.; Teodosio, C. Development of a Standardized and Validated Flow Cytometry Approach for Monitoring of Innate Myeloid Immune Cells in Human Blood. Front. Immunol. 2022, 13, 935879. ##https://doi.org/10.3389/fimmu.2022.935879##Guruprasad, K. P.; Vasudev, V.; Agrawal, H.; Thakur, M.; Krishan, A.; Sobti, R. C. Flow Cytometry: Historical Perspectives, Fundamentals, Past and Present Instrumentations, and Applications. In Flow Cytometry; Sobti, R. C., Krishan, A., Agrawal, D. K., Eds.; Springer Nature Singapore: Singapore, 2024; pp 1-25. ##https://doi.org/10.1007/978-981-97-4553-1_1##Rahman, K. Flow Cytometry Based Residual Disease Monitoring in Haematolymphoid Neoplasm. In Flow Cytometry; Sobti, R. C., Krishan, A., Agrawal, D. K., Eds.; Springer Nature Singapore: Singapore, 2024; pp 319-346. ##https://doi.org/10.1007/978-981-97-4553-1_19##Peters, J. M.; Ansari, M. Q. Multiparameter Flow Cytometry in the Diagnosis and Management of Acute Leukemia. Archives of Pathology &#38; Laboratory Medicine 2011, 135 (1), 44-54. ##https://doi.org/10.5858/2010-0387-RAR.1##Denys, B.; Van Der Sluijs-Gelling, A. J.; Homburg, C.; Van Der Schoot, C. E.; De Haas, V.; Philippé, J.; Pieters, R.; Van Dongen, J. J. M.; Van Der Velden, V. H. J. Improved Flow Cytometric Detection of Minimal Residual Disease in Childhood Acute Lymphoblastic Leukemia. Leukemia 2013, 27 (3), 635-641. ##https://doi.org/10.1038/leu.2012.231##Diamond, L. W.; Nguyen, D. T.; Andreeff, M.; Maiese, R. L.; Braylan, R. C. A Knowlewldge‐based System for the Interpretation of Flow Cytometry Data in Leukemias and Lymphomas. Cytometry 1994, 17 (3), 266-273. ##https://doi.org/10.1002/cyto.990170310##Varma, N.; Naseem, S. Application of Flow Cytometry in Pediatric Hematology‐oncology. Pediatric Blood &#38; Cancer 2011, 57 (1), 18-29. ##https://doi.org/10.1002/pbc.22954##Lacombe, F.; Belloc, F. Flow Cytometry Study of Cell Cycle, Apoptosis and Drug Resistance in Acute Leukemia. Hematol Cell Ther 1996, 38 (6), 495-504. ##https://doi.org/10.1007/s00282-996-0495-9##Brown, M.; Wittwer, C. Flow Cytometry: Principles and Clinical Applications in Hematology. Clinical Chemistry 2000, 46 (8), 1221-1229. ##https://doi.org/10.1093/clinchem/46.8.1221##Theunissen, P.; Mejstrikova, E.; Sedek, L.; Van Der Sluijs-Gelling, A. J.; Gaipa, G.; Bartels, M.; Sobral Da Costa, E.; Kotrová, M.; Novakova, M.; Sonneveld, E.; Buracchi, C.; Bonaccorso, P.; Oliveira, E.; Te Marvelde, J. G.; Szczepanski, T.; Lhermitte, L.; Hrusak, O.; Lecrevisse, Q.; Grigore, G. E.; Froňková, E.; Trka, J.; Brüggemann, M.; Orfao, A.; Van Dongen, J. J. M.; Van Der Velden, V. H. J. Standardized Flow Cytometry for Highly Sensitive MRD Measurements in B-Cell Acute Lymphoblastic Leukemia. Blood 2017, 129 (3), 347-357. ##https://doi.org/10.1182/blood-2016-07-726307##Karawajew, L.; Dworzak, M.; Ratei, R.; Rhein, P.; Gaipa, G.; Buldini, B.; Basso, G.; Hrusak, O.; Ludwig, W.-D.; Henze, G.; Seeger, K.; Von Stackelberg, A.; Mejstrikova, E.; Eckert, C. Minimal Residual Disease Analysis by Eight-Color Flow Cytometry in Relapsed Childhood Acute Lymphoblastic Leukemia. Haematologica 2015, 100 (7), 935-944. ##https://doi.org/10.3324/haematol.2014.116707##Modvig, S.; Hallböök, H.; Madsen, H. O.; Siitonen, S.; Rosthøj, S.; Tierens, A.; Juvonen, V.; Osnes, L. T. N.; Vålerhaugen, H.; Hultdin, M.; Matuzeviciene, R.; Stoskus, M.; Marincevic, M.; Lilleorg, A.; Ehinger, M.; Norén-Nystrøm, U.; Toft, N.; Taskinen, M.; Jónsson, O. G.; Pruunsild, K.; Vaitkeviciene, G.; Vettenranta, K.; Lund, B.; Abrahamsson, J.; Porwit, A.; Schmiegelow, K.; Marquart, H. V. Value of Flow Cytometry for MRD-Based Relapse Prediction in B-Cell Precursor ALL in a Multicenter Setting. Leukemia 2021, 35 (7), 1894-1906. ##https://doi.org/10.1038/s41375-020-01100-5##Vredenburgh, J. J.; Silva, O.; Tyer, C.; DeSOMBRE, K.; Abou-Ghalia, A.; Cook, M.; Layfield, L.; Peters, W. P.; Bast, R. C. A Comparison of Immunohistochemistry, Two-Color Immunofluorescence, and Flow Cytometry with Cell Sorting for the Detection of Micrometastatic Breast Cancer in the Bone Marrow. Journal of Hematotherapy 1996, 5 (1), 57-62. ##https://doi.org/10.1089/scd.1.1996.5.57##Wyatt, J. I.; Quirke, P.; Ward, D. C.; Clayden, A. D.; Dixon, M. F.; Johnston, D.; Bird, C. C. Comparison of Histopathological and Flow Cytometric Parameters in Prediction of Prognosis in Gastric Cancer. The Journal of Pathology 1989, 158 (3), 195-201. ##https://doi.org/10.1002/path.1711580305##Gerstner, A. O. H.; Mittag, A.; Laffers, W.; Dähnert, I.; Lenz, D.; Bootz, F.; Bocsi, J.; Tárnok, A. Comparison of Immunophenotyping by Slide-Based Cytometry and by Flow Cytometry. Journal of Immunological Methods 2006, 311 (1-2), 130-138. ##https://doi.org/10.1016/j.jim.2006.01.012##Tworek, J. A.; Singleton, T. P.; Schnitzer, B.; Hsi, E. D.; Ross, C. W. Flow Cytometric and Immunohistochemical Analysis of Small Lymphocytic Lymphoma, Mantle Cell Lymphoma, and Plasmacytoid Small Lymphocytic Lymphoma. Am J Clin Pathol 1998, 110 (5), 582-589. ##https://doi.org/10.1093/ajcp/110.5.582##Ahuja, A.; Tyagi, S.; Seth, T.; Pati, H. P.; Gahlot, G.; Tripathi, P.; Somasundaram, V.; Saxena, R. Comparison of Immunohistochemistry, Cytochemistry, and Flow Cytometry in AML for Myeloperoxidase Detection. Indian J Hematol Blood Transfus 2018, 34 (2), 233-239. ##https://doi.org/10.1007/s12288-017-0849-1##Paredes‐Aguilera, R.; Romero‐Guzman, L.; Lopez‐Santiago, N.; Burbano‐Ceron, L.; Camacho‐Del Monte, O.; Nieto‐Martinez, S. Flow Cytometric Analysis of Cell‐surface and Intracellular Antigens in the Diagnosis of Acute Leukemia. American J Hematol 2001, 68 (2), 69-74. ##https://doi.org/10.1002/ajh.1155##Guillaume, N.; Penther, D.; Vaida, I.; Gruson, B.; Harrivel, V.; Claisse, J. . F.; Capiod, J. C.; Lefrere, J. J.; Damaj, G. CD66c Expression in B‐cell Acute Lymphoblastic Leukemia: Strength and Weakness. Int J Lab Hematology 2011, 33 (1), 92-96. ##https://doi.org/10.1111/j.1751-553X.2010.01254.x##Liu, M.; Weng, X.; Gong, S.; Chen, H.; Ding, J.; Guo, M.; Hu, X.; Wang, J.; Yang, J.; Tang, G. Flow Cytometric Analysis of CD64 Expression Pattern and Density in the Diagnosis of Acute Promyelocytic Leukemia: A Multi-Center Study in Shanghai, China. Oncotarget 2017, 8 (46), 80625-80637. ##https://doi.org/10.18632/oncotarget.20814##Lam, G.; Punnett, A.; Stephens, D.; Sung, L.; Abdelhaleem, M.; Hitzler, J. Value of Flow Cytometric Analysis of Peripheral Blood Samples in Children Diagnosed with Acute Lymphoblastic Leukemia. Pediatric Blood &#38; Cancer 2018, 65 (1), e26738. ##https://doi.org/10.1002/pbc.26738##Raskovalova, T.; Berger, M. G.; Jacob, M.-C.; Park, S.; Campos, L.; Aanei, C. M.; Kasprzak, J.; Pereira, B.; Labarère, J.; Cesbron, J.-Y.; Veyrat-Masson, R. Flow Cytometric Analysis of Neutrophil Myeloperoxidase Expression in Peripheral Blood for Ruling out Myelodysplastic Syndromes: A Diagnostic Accuracy Study. Haematologica 2019, 104 (12), 2382-2390. ##https://doi.org/10.3324/haematol.2018.202275##Zhang, X.; Wang, L.-P.; Ziober, A.; Zhang, P. J.; Bagg, A. Ionized Calcium Binding Adaptor Molecule 1 (IBA1). American Journal of Clinical Pathology 2021, 156 (1), 86-99. ##https://doi.org/10.1093/ajcp/aqaa209##Rollins‐Raval, M. A.; Roth, C. G. The Value of Immunohistochemistry for CD14, CD123, CD33, Myeloperoxidase and CD68R in the Diagnosis of Acute and Chronic Myelomonocytic Leukaemias. Histopathology 2012, 60 (6), 933-942. ##https://doi.org/10.1111/j.1365-2559.2012.04175.x##Deghady, A. A. M.; Mansour, A. R.; Elfahham, assma A. A. A. E. The Value of Cytochemical Stains in the Diagnosis of Acute Leukemia. International Journal For Research In Health Sciences And Nursing 2016, 2 (5).##Resende, G. A. D.; Gileno, M. da C.; Moraes-Souza, H.; Carlos, A. M.; Leal, A. S.; Martins, P. R. J. The Role of Cytochemistry in the Diagnosis of Acute Leukemias. International Journal of Health Sciences and Research 2017, 7 (8).##Hamid, Dr. G. A.; Harize, Dr. I. B. BONE MARROW MORPHOLOGY AND CYTOCHEMICAL STAINING IN DIAGNOSIS AND CLASSIFICATION OF ACUTE LEUKEMIA. European Journal of Biomedical AND Pharmaceutical sciences 2018, 5 (8), 574-583.##Venkatesan, S.; Boj, S.; Nagaraj, S. A STUDY OF CLINICO-HEMATOLOGICAL PROFILE IN ACUTE LEUKEMIA WITH CYTOCHEMICAL CORRELATION. International Journal of Academic Medicine and Pharmacy 2023, 5 (4), 893-898.## ##</REF>
			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>Chemokine-guided Stem Cell Migration for Retinal Regeneration: A Systematic Review</TitleF>
		<TitleE></TitleE>
		<TitleLang_ID>2</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Background: Retinal degeneration remains one of the predominant causes of blindness, with extremely low regenerative capacity in the mammalian retina. Stem cell-based therapy is a highly promising approach for retinal regeneration, but efficient stem cell migration and integration are significant challenges. This systematic review aimed to discuss chemokine-directed stem cell migration in retinal regeneration, summarising important chemokines, signalling pathways, and therapeutic opportunities.
Methods: A systematic literature search was done in PubMed, Embase, Scopus, Web of Science, Cochrane Library, CINAHL, and PsycINFO between January 2010 and January 2025. Preclinical and clinical studies that explored chemokine-stimulated stem cell migration during retinal repair were included based on the inclusion criteria. The data extracted included chemokine-receptor interaction, signalling pathways, type of stem cells, route of delivery, and outcomes of retinal repair. The ROBINS-I tool was used to evaluate the risk of bias.
Results: In 384 studies, 12 were included. The SDF-1/CXCL12-CXCR4 pathway was explored in the most detail, augmenting stem cell homing and integration. Other pathways, such as ERK/MAPK, PI3K/Akt, and JAK-STAT, also played a role in migration and survival. Chemokine-modulated therapies enhanced retinal function and repair, but immune responses and delivery issues remain. New approaches such as biodegradable scaffolds, magnetic targeting, and chemically engineered chemokines were discovered to optimise stem cell localisation and efficacy.
Conclusion: Chemokine-directed stem cell migration is an exciting field for retinal regeneration, which has the potential to improve targeted cell delivery and integration. While SDF-1/CXCL12 remains the gold standard, other pathways and new delivery pathways are also extremely capable. Augmenting chemokine-based therapies, overcoming immunological barriers, and translating them into the clinic in the future will be paramount to optimising stem cell-mediated retinal repair.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>26</FPAGE>
			<TPAGE>34</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2025/07/42025/07/142025/08/192025/07/24
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1404/5/2
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2025/09/242025/09/112025/09/112025/09/11
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1404/6/20
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>Ashish</Name>
				<MidName></MidName>
				<Family>Chander</Family>
				<NameE>Ashish</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Chander</FamilyE>
				<Organizations>
				<Organization>Teerthanker Mahaveer University, Teerthanker Mahaveer Medical College &#38; Research Centre (TMMC &#38; RC), Moradabad, Uttar Pradesh, India.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Vinod Kumar</Name>
				<MidName></MidName>
				<Family>Singh</Family>
				<NameE>Vinod Kumar</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Singh</FamilyE>
				<Organizations>
				<Organization>Teerthanker Mahaveer University, Teerthanker Mahaveer Medical College &#38; Research Centre (TMMC &#38; RC), Moradabad, Uttar Pradesh, 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>Teerthanker Mahaveer University, Teerthanker Mahaveer Medical College &#38; Research Centre (TMMC &#38; RC), Moradabad, Uttar Pradesh, India.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Prithpal Singh</Name>
				<MidName></MidName>
				<Family>Matreja</Family>
				<NameE>Prithpal Singh</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Matreja</FamilyE>
				<Organizations>
				<Organization>Teerthanker Mahaveer University, Teerthanker Mahaveer Medical College &#38; Research Centre (TMMC &#38; RC), Moradabad, Uttar Pradesh, India.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>singhmatrejaprithpal@gmail.com</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Chemokines</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>SDF-1/CXCL12</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>PI3K/Akt pathway</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>JAK-STAT pathway</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
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Salati, "Recent advances of adipose-tissue-derived mesenchymal stem cell-based therapy for retinal diseases", Journal of Clinical Medicine, vol. 12, no. 22, p. 7015, 2023.##P. Sharma, S. Gupta, M. Chaudhary, S. Mitra, B. Chawla, M. Khursheedet al., "Biphasic role of tgf-β signaling during müller glia reprogramming and retinal regeneration in zebrafish", Iscience, vol. 23, no. 2, p. 100817, 2020.##M. Lahne, M. Nagashima, D. Hyde, &#38; P. Hitchcock, "Reprogramming müller glia to regenerate retinal neurons", Annual Review of Vision Science, vol. 6, no. 1, p. 171-193, 2020.##M. Lee, J. Wan, &#38; D. Goldman, "Tgfb3 collaborates with pp2a and notch signalling pathways to inhibit retina regeneration", Elife, vol. 9, 2020. ##https://doi.org/10.7554/eLife.55137##T. Hoang, J. Wang, P. Boyd, F. Wang, C. Santiago, L. Jianget al., "Gene regulatory networks controlling vertebrate retinal regeneration", Science, vol. 370, no. 6519, 2020.##C. Yu, D. Li, Y. Lv, X. Shi, R. Zhang, W. 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			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>Effects of Metformin on Leukemia: Biological Mechanisms, Targets, and Treatment Possibilities</TitleF>
		<TitleE></TitleE>
		<TitleLang_ID>2</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Metformin is a widely prescribed medication for managing diabetes, but it also affects cancer cell metabolism through both direct and indirect mechanisms. Cancer cells often divide rapidly, and this quick division, along with metabolic changes, increases intracellular free radicals and inhibits the enzyme hexokinase. This inhibition prevents the conversion of glucose to glucose-6-phosphate, leading to glucose deprivation and subsequently causing mitochondrial depolarization and apoptosis in cancer cells. KDM1A is an epigenetic regulator that plays a vital role in cancer development. Both KDM1A and metformin influence autophagy and cancer-related pathways, and their interaction could lead to new treatment strategies. Metformin reduces oxidative stress and activates ATM signaling, since the ATM gene encodes a tumor suppressor protein that helps repair DNA mutations during stress. Additionally, the drug enhances the recognition of damaged DNA by increasing ATM protein levels. In acute myeloid leukemia (AML), leukemic stem cells (LSCs) often develop resistance after chemotherapy, which greatly contributes to treatment failures. This article aims to explore how metformin affects LSCs, DNA repair gene expression, and related biological mechanisms, as well as its targets and therapeutic potential. This study reviews existing articles about metformin&#39;s mechanisms in leukemia. Metformin shows significant potential for reducing mortality rates associated with various cancers, including leukemia.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>35</FPAGE>
			<TPAGE>45</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2025/07/42025/07/142025/08/192025/07/242025/07/17
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1404/4/26
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2025/09/242025/09/112025/09/112025/09/112025/09/17
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1404/6/26
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>Parisa</Name>
				<MidName></MidName>
				<Family>Dana</Family>
				<NameE>Parisa</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Dana</FamilyE>
				<Organizations>
				<Organization>Islamic Azad University،Science and Research Branch, Tehran, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>parisadana95@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Abdolkhalegh</Name>
				<MidName></MidName>
				<Family>Deezagi</Family>
				<NameE>Abdolkhalegh</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Deezagi</FamilyE>
				<Organizations>
				<Organization>National Institute of Genetic Engineering and Biotechnology, Tehran, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Metformin</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Leukemia</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Metabolic changes</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Mechanisms</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>KDM1A gene</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>ATM</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Leukemia stem cells</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
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Haematologica. 2012 Jan.##Ke Lin JA, Gillian G Johnson, Anthony Carter, Melanie Oates, et al. Functional analysis of the ATM-p53-p21 pathway in the LRF CLL4 trial: blockade at the level of p21 is associated with short response duration Clin Cancer Res. 2012 Aug 1.##Thorsten Zenz AB, Hartmut Döhner, Stephan Stilgenbauer. Chronic lymphocytic leukemia and treatment resistance in cancer: the role of the p53 pathway Cell Cycle. 2008 Dec 15.##Zenz T MJ, Edelmann J, Sarno A, Hoth P, et al. Treatment resistance in chronic lymphocytic leukemia: the role of the p53 pathway. Leuk Lymphoma. 2009 Mar.##Zenz T HS, Denzel T, Mohr J, Winkler D, et al. Detailed analysis of p53 pathway defects in fludarabine-refractory chronic lymphocytic leukemia (CLL): dissecting the contribution of 17p deletion, TP53 mutation, p53-p21 dysfunction, and miR34a in a prospective clinical trial. Blood. 2009 Sep 24.##Elaine Willmore AS, Evan A Mulligan, G. Ahmed,Sarah Elliott, et al. ATM Mutant Chronic Lymphocytic Leukaemia Cells are Chemosensitized by Inhibition of DNA-Dependent Protein Kinase Blood. 2010.##Gero Knittel PL, Hans C Reinhardt. Targeting ATM-deficient CLL through interference with DNA repair pathways. Front Genet. 2015 Jun 10.##Kastan MB LD. The many substrates and functions of ATM. Nat Rev Mol Cell Biol. 2000.##Uziel T SK, Platzer M, Ziv Y, Helbitz T, et al. Genomic organization of the ATM gene. Genomics. 1996.##Y-S Kim B-SP, H-S Baek, H-M Kang, J-M Oh, et al. Metformin activates AMPK and mTOR to Inhibit RANKL-stimulated osteoclast formation. Eur Rev Med Pharmacol Sci. 2023 Sep.##Zamanian MY GM, Yumashev A, Hjazi A, Toama MA, et al. Effects of metformin on cancers in experimental and clinical studies: Focusing on autophagy and AMPK/mTOR signaling pathways. Cell Biochem Funct. 2024 Jun.##Andreas Janzer NJG, Karina N Gonzalez-Herrera, John M Asara, Marcia C Haigis, et al. Metformin and phenformin deplete tricarboxylic acid cycle and glycolytic intermediates during cell transformation and NTPs in cancer stem cells. Proc Natl Acad Sci U S A. 2014 Jul 7.##Célia Rosilio NL, Marielle Nebout, Véronique Imbert, Thijs Hagenbeek, et al. The metabolic perturbators metformin, phenformin and AICAR interfere with the growth and survival of murine PTEN-deficient T cell lymphomas and human T-ALL/T-LL cancer cells Cancer Lett. 2013 Aug.##Huypens P QE, Pipeleers D, Van de Casteele M. Metformin reduces adiponectin protein expression and release in 3T3-L1 adipocytes involving activation of AMP activated protein kinase. Eur J Pharmacol. 2005 Aug 22.##Singh-Makkar S PK, Hathaway D 3rd, Paul T, Youssef P. Multidimensional mechanisms of metformin in cancer treatment. Tumori. 2022 Apr.##S Scotland ES, N Skuli, F de Toni, H Boutzen, E Micklow, et al. Mitochondrial energetic and AKT status mediate metabolic effects and apoptosis of metformin in human leukemic cells Leukemia. 2013 Nov.##Chen-Song Zhang ML, Teng Ma, Yue Zong, Jiwen Cui, et al. Metformin Activates AMPK through the Lysosomal Pathway Cell Metab. 2016 Oct 11.##B Chaube MKB. AMPK, a key regulator of metabolic/energy homeostasis and mitochondrial biogenesis in cancer cells. Cell Death Dis. 2016 Jan.##Yun Chau Long JRZ. AMP-activated protein kinase signaling in metabolic regulation. J Clin Invest. 2006 Jul 3.##Emilia Amengual-Cladera PMM-B, Andrea Morán-Costoya, Jorge Sastre-Serra, Daniel Gabriel Pons, et al. Metformin: From Diabetes to Cancer-Unveiling Molecular Mechanisms and Therapeutic Strategies Biology (Basel). 2024.##Nerea Allende-Vega JMB, Paolo Falvo, Catherine Alexia, Michael Constantinides, et al. Metformin sensitizes leukemic cells to cytotoxic lymphocytes by increasing expression of intercellular adhesion molecule-1 (ICAM-1). nature(scientific reports). 25 January 2022.##N Yagi KY, K Amano, M Nagata, K Tsukamoto, et al. Expression of intercellular adhesion molecule 1 on pancreatic beta-cells accelerates beta-cell destruction by cytotoxic T-cells in murine autoimmune diabetes Comparative Study Diabetes. 1995 Jul.##P Wang FV, S L Li, M Patarroyo, E Klein. Functional characteristics of the intercellular adhesion molecule-1 (CD54) expressed on cytotoxic human blood lymphocytes Cell Immunol. 1990 Dec.##Yong Yi WZ, Jianqiao Yi, Zhi-Xiong Xiao. . Role of p53 Family Proteins in Metformin Anti-Cancer Activities. J Cancer. 2019 May 27.##Hollstein M SD, Vogelstein B. p53 mutations in human cancers. Science. 1991.##E. D. The most popular genes in the human genome. Nature. 2017.##Ebrahim Miri-Moghaddam AD, Zahra Sohaila Soheili, Parvin Shariati. Apoptosis and reduced cell proliferation of HL-60 cell line caused by human telomerase reverse transcriptase inhibition by siRNA. Acta Haematol. 2010.##Gao Yi ZH, Xinke Zhou, Lewu Xian, Taize Yuan, et al. Low concentration of metformin induces a p53-dependent senescence in hepatoma cells via activation of the AMPK pathway Int J Oncol. 2013 Nov.##Heather A Hirsch DI, Philip N Tsichlis, Kevin Struhl. Metformin selectively targets cancer stem cells, and acts together with chemotherapy to block tumor growth and prolong remission Cancer Res. 2009 Oct 1.##Mohsen Hosseini VV, Ali Chegini, Angelica Varesi, Severine Cathelin, et al. Metformin reduces the competitive advantage of Dnmt3aR878H HSPCs. Nature. 2025 Jun.##Mohsen Hosseini VV, Ali Chegini, Angelica Varesi, Severine Cathelin, et al. . Metformin reduces the clonal fitness of Dnmt3a R878H hematopoietic stem and progenitor cells by reversing their aberrant metabolic and epigenetic state. Res Sq. 2024 Feb 6.##Parisa Dana NHR, Parichehreh Yaghmaei,Zahra Hajebrahimi. ffects of empagliflozin on the expression of kisspeptin gene and reproductive system function in streptozotocin-induced diabetic male rats. Front Endocrinol. 21 November 2022.##Parisa Dana NHR, Parichehreh Yaghmaei, Zahra Haj Ebrahimi. Effects of Empagliflozin on Sexual Function, Testicular Histology and Biochemical Parameters in Young and Middle-Aged Diabetic Rats of Type2. Iranian Journal of Diabetes and Metabolism. 2021.## ##</REF>
			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>The Role of Artificial Intelligence in Shaping the Future of Hematological Diagnosis and Treatment</TitleF>
		<TitleE></TitleE>
		<TitleLang_ID>2</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Hematological disorders continue to pose significant challenges in clinical practice due to their complexity and potential for severe outcomes. This review provides a comprehensive overview of the role of Artificial Intelligence (AI) in enhancing the diagnosis and treatment of these conditions. Drawing on 177 studies published between 2012 and 2025 from PubMed and Google Scholar, the review examines fundamental concepts of AI and machine learning, their applications in diagnostic and therapeutic processes, and the challenges and limitations associated with their clinical implementation. The findings highlight the potential of AI to improve diagnostic accuracy, optimize treatment strategies, and support decision-making in hematology. By synthesizing current knowledge, this study underscores the importance of integrating AI into research and clinical practice and offers insights into future directions for advancing patient care in hematological disorders.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>46</FPAGE>
			<TPAGE>61</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2025/07/42025/07/142025/08/192025/07/242025/07/172025/08/10
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1404/5/19
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2025/09/242025/09/112025/09/112025/09/112025/09/172025/09/25
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1404/7/3
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>Zahra</Name>
				<MidName></MidName>
				<Family>Haghshenas</Family>
				<NameE>Zahra</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Haghshenas</FamilyE>
				<Organizations>
				<Organization>School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Hassan</Name>
				<MidName></MidName>
				<Family>Shokri Garjan</Family>
				<NameE>Hassan</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Shokri Garjan</FamilyE>
				<Organizations>
				<Organization>Department of Medical Informatics, School of Allied Medical Science, Urmia University of Medical Science, Urmia, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Atefeh</Name>
				<MidName></MidName>
				<Family>Moghassem</Family>
				<NameE>Atefeh</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Moghassem</FamilyE>
				<Organizations>
				<Organization>Laboratory Hematology and Blood Bank Department, School of Allied Medical Science, Shahid Beheshti University of Medical Science, Tehran, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Pooya</Name>
				<MidName></MidName>
				<Family>Vahedi</Family>
				<NameE>Pooya</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Vahedi</FamilyE>
				<Organizations>
				<Organization>School of Medicine, Shahid Beheshti University of Medical Science, Tehran, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Yasmin</Name>
				<MidName></MidName>
				<Family>Tabatabavakili</Family>
				<NameE>Yasmin</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Tabatabavakili</FamilyE>
				<Organizations>
				<Organization>School of Nursing and Midwifery, Shahid Beheshti University of Medical Science, Tehran, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Diana</Name>
				<MidName></MidName>
				<Family>Hosseinzadeh</Family>
				<NameE>Diana</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Hosseinzadeh</FamilyE>
				<Organizations>
				<Organization>Third faculty of medicine, Charles University, Prague, Czech Republic.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Goli</Name>
				<MidName></MidName>
				<Family>Asgari</Family>
				<NameE>Goli</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Asgari</FamilyE>
				<Organizations>
				<Organization>Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Elham</Name>
				<MidName></MidName>
				<Family>Nazari</Family>
				<NameE>Elham</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Nazari</FamilyE>
				<Organizations>
				<Organization>Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>Elham.Nazari@sbmu.ac.ir</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Tahmine</Name>
				<MidName></MidName>
				<Family>Aldaghi</Family>
				<NameE>Tahmine</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Aldaghi</FamilyE>
				<Organizations>
				<Organization>Institute of Biophysics and Informatics, First Faculty of Medicine, Charles University, Prague, Czech Republic</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>tahmineh1989@gmail.com</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


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

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

			<KEYWORD>
				<KeyText>Hematological disorders</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
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			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>Comparative Evaluation of Custom Convolutional Neural Networks and EfficientNet-B3 for Malaria Cell Image Classification: Impact of Targeted Data Augmentation on Model Performance</TitleF>
		<TitleE></TitleE>
		<TitleLang_ID>2</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Background: Malaria diagnosis with thin blood smears remains labor-intensive and relies on the operator. Deep learning could enable accurate automation.
Objective: Compare four convolutional approaches for classifying parasitized versus uninfected erythrocytes and to evaluate whether targeted image-quality augmentations enhance performance.
Materials and Methods: We used the balanced NIH/Kaggle dataset, which included 13,780 parasitized and 13,780 uninfected samples. Data were split stratified into training, validation, and test sets (70/15/15). Images were resized to 256&#215;256 and normalized. Four experiments were conducted: (1) a custom CNN; (2) the same CNN with targeted augmentation applied to 20% of training samples per class&#8212;using Contrast Limited Adaptive Histogram Equalization [CLAHE] and controlled brightness adjustment&#8212;and augmented images were added back to the training set (totaling 30,864 images); (3) a soft-attention parallel CNN (SPCNN); and (4) transfer learning with EfficientNet-B3 on 300&#215;300 inputs with full fine-tuning. Evaluation metrics included accuracy, precision, recall, F1 score, and AUC-ROC.
Results: EfficientNet-B3 achieved the highest performance with a validation accuracy of 0.9741, 98% precision, 96% recall, an F1 score of 0.97, and an AUC-ROC of 0.9964. SPCNN was competitive but slightly lower, with a validation accuracy of 0.9652, 98% precision, 95% recall, an F1 score of 0.96, and an AUC-ROC of 0.9909. The baseline CNN had a validation accuracy of 0.9649, 97% precision, 94% recall, an F1 score of 0.96, and an AUC-ROC of 0.9910. Targeted augmentation resulted in negligible change compared to the baseline CNN, with a validation accuracy of 0.9647, an F1 score of 0.96, and an AUC-ROC of 0.9908, indicating limited added discriminative value for this dataset.
Conclusion: EfficientNet-B3 outperformed SPCNN and custom CNNs. The CLAHE/brightness strategy applied to 20% of training images and added back to the dataset did not significantly improve generalization. External validation and prospective field testing are necessary before clinical deployment.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>62</FPAGE>
			<TPAGE>72</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2025/07/42025/07/142025/08/192025/07/242025/07/172025/08/102025/07/10
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1404/4/19
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2025/09/242025/09/112025/09/112025/09/112025/09/172025/09/252025/09/10
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1404/6/19
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>Reza</Name>
				<MidName></MidName>
				<Family>Mohit</Family>
				<NameE>Reza</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Mohit</FamilyE>
				<Organizations>
				<Organization>Department of Anesthesia, School of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Emad</Name>
				<MidName></MidName>
				<Family>Milani</Family>
				<NameE>Emad</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Milani</FamilyE>
				<Organizations>
				<Organization>Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Ata</Name>
				<MidName></MidName>
				<Family>Amini</Family>
				<NameE>Ata</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Amini</FamilyE>
				<Organizations>
				<Organization>Department of Health Information Management and Medical Informatics, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Mehrnaz</Name>
				<MidName></MidName>
				<Family>Ahani</Family>
				<NameE>Mehrnaz</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Ahani</FamilyE>
				<Organizations>
				<Organization>Department of Midwifery, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Elham</Name>
				<MidName></MidName>
				<Family>Nazari</Family>
				<NameE>Elham</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Nazari</FamilyE>
				<Organizations>
				<Organization>Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>elham.nazari@sbmu.ac.ir</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Tahmineh</Name>
				<MidName></MidName>
				<Family>Aldaghi</Family>
				<NameE>Tahmineh</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Aldaghi</FamilyE>
				<Organizations>
				<Organization>Institute of Biophysics and Informatics, First Faculty of Medicine, Charles University, Prague, Czech Republic.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>tahmineh1989@gmail.com</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Malaria</KeyText>
			</KEYWORD>

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

			<KEYWORD>
				<KeyText>EfficientNet-B3</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Albumentations</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Parasitized cell images</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Medical imaging AI</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Soft-attention parallel CNN</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
				<REF>World Health Organization. World Malaria Report 2024. Geneva: WHO; 2024.##Venkatesan P. WHO World Malaria Report 2024. Lancet Microbe. 2025;6(1).##Jones S, et al. Trends in Plasmodium burden in children and pregnant women in the WHO African Region. Lancet Glob Health. 2024.##RTS,S Clinical Trials Partnership. Efficacy and safety of RTS,S/AS01 malaria vaccine. Lancet. 2015;386(9988):31-45.##Datoo MS, et al. Efficacy of R21/Matrix-M malaria vaccine. Lancet. 2021;397(10287):1809-18.##Moody A. Rapid diagnostic tests for malaria parasites. Clin Microbiol Rev. 2002;15(1):66-78.##WHO. Malaria Microscopy Quality Assurance Manual, 2023.##Hopkins H, et al. Microscopy in malaria diagnosis. Malaria J. 2007;6:115.##Gamboa D, et al. A large proportion of P. falciparum in Peru lack pfhrp2 and pfhrp3. J Clin Microbiol. 2010;48(6):2055-7.##Snounou G. PCR diagnosis of malaria. Clin Microbiol Rev. 1993;6(1):15-28.##Rajaraman S, et al. Transfer learning for malaria parasite detection in thin smear images. PeerJ. 2018;6:e4568.##Pattanaik D, et al. Comparison of CNN frameworks for malaria diagnosis. arXiv preprint arXiv:1909.02829.##Liang Z, et al. CNN-based parasite stage classification. Comput Biol Med. 2021;134:104524.##Ahuja S, et al. EfficientNet B3-based malaria parasite detection. Biomed Signal Process Control. 2020;62:102093.##Tan M, Le Q. EfficientNet: Rethinking model scaling. ICML. 2019.##Shorten C, Khoshgoftaar TM. A survey on image data augmentation. J Big Data. 2019;6:60.##Perez L, Wang J. Effectiveness of data augmentation. arXiv preprint arXiv:1712.04621.##Ahamed F, et al. SPCNN for malaria detection. Sci Rep. 2025;15:6484.##Rajaraman S, Antani SK, Poostchi M, et al. Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images. PeerJ. 2018;6:e4568.##Poostchi M, Silamut K, Maude RJ, Jaeger S, Thoma G. Image analysis and machine learning for detecting malaria. Trans R Soc Trop Med Hyg. 2018;112(4):170-182.##Kaggle. Cell Images for Malaria Detection dataset. Available at: https://www.kaggle.com/datasets/iarunava/cell-images-for-malaria. Accessed 2025.##Li X, Wang Y, Zhang J, et al. Attention-based parallel CNN architectures for interpretable malaria diagnosis. Sci Rep. 2024;14:12345.##Shorten C, Khoshgoftaar TM. A survey on image data augmentation for deep learning. J Big Data. 2019;6:60.##Tan M, Le QV. EfficientNet: Rethinking model scaling for convolutional neural networks. Proc Int Conf Mach Learn. 2019:6105-6114.##(Dataset): https://www.kaggle.com/datasets/iarunava/cell-images-for-detecting-malaria##Shorten C, Khoshgoftaar TM. A survey on image data augmentation for deep learning. J Big Data. 2019;6(1):60.##Perez L, Wang J. The effectiveness of data augmentation in image classification using deep learning. arXiv preprint arXiv:1712.04621.##Ahamed F, et al. SPCNN vs transfer learning on malaria detection. Sci Rep. 2025;15:6484.##Tan M, Le QV. EfficientNet: Rethinking model scaling for convolutional neural networks. ICML. 2019.##Silva, R. R. et al. (2022). Malaria Parasite Detection using EfficientNet Models. Biomedical Signal Processing and Control, 74, 103557.##Lundervold, A. S., &#38; Lundervold, A. (2019). An overview of deep learning in medical imaging focusing on MRI. Zeitschrift für Medizinische Physik, 29(2), 102-127.##Kim DW, Jang HY, Kim KW, Shin Y, Park SH. Design characteristics of studies reporting the performance of artificial intelligence algorithms for diagnostic analysis of medical images: Results from recently published papers. Radiol Artif Intell. 2022;4(1):e210064.## ##</REF>
			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>Assessment of Lysosome-Associated Membrane Protein (LAMP5) in Newly Diagnosed Multiple Myeloma Patients and Correlation to Clinical Outcome</TitleF>
		<TitleE></TitleE>
		<TitleLang_ID>2</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Introduction: Lysosome-associated membrane protein 5(LAMP5) is one of the glycosylated proteins which are implicated in several different features of cell biology and can impact cellular processes for instance phagocytosis, autophagy, lipid transference, and aging. Interestingly, it has a significant role in cancer progression, metastatic spread and aggressiveness. It has been reported to be significantly expressed in many hematopoietic malignancies as leukemias and Multiple Myeloma (MM).
Objectives: This study used enzyme-linked immunosorbent assay (ELISA) to measure the level of LAMP5 in newly diagnosed MM patients, and the level was correlated to the clinical outcome of the patient.
Methods: A prospective study was done on 64 people, including 32 newly diagnosed MM patients and 32 age- and gender-matched healthy controls. ELISA was used to assess the levels of LAMP5 in serum samples. Clinical data and LAMP5 expression correlations were assessed.
Results: MM patients&#8217; LAMP5 levels were found to be statistically significantly higher than those of healthy controls (P&#60;0.0001), However, LAMP5 does not correlate with clinical outcomes, laboratory results, or patient clinical data.
Conclusion: This report emphasizes that LAMP5 expression in newly diagnosed multiple myeloma patients was highly significant by ELISA and its influence on patient&#8217;s prognosis still unclear as there was no significant correlation with other clinical data, which indicates more research on large scale of patients to determine its significance of its expression on prognosis.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>73</FPAGE>
			<TPAGE>78</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2025/07/42025/07/142025/08/192025/07/242025/07/172025/08/102025/07/102025/08/11
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1404/5/20
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2025/09/242025/09/112025/09/112025/09/112025/09/172025/09/252025/09/102025/09/25
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1404/7/3
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>Nahed Moawad</Name>
				<MidName></MidName>
				<Family>Ibrahim Rakha</Family>
				<NameE>Nahed Moawad</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Ibrahim Rakha</FamilyE>
				<Organizations>
				<Organization>Department of Internal Medicine and Clinical Hematology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>nahedrakha@med.asu.edu.eg</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Amal</Name>
				<MidName></MidName>
				<Family>Elaffifi</Family>
				<NameE>Amal</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Elaffifi</FamilyE>
				<Organizations>
				<Organization>Department of Internal Medicine and Clinical Hematology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Rana</Name>
				<MidName></MidName>
				<Family>Abbas</Family>
				<NameE>Rana</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Abbas</FamilyE>
				<Organizations>
				<Organization>Department of Internal Medicine and Clinical Hematology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Ghada</Name>
				<MidName></MidName>
				<Family>Mged</Family>
				<NameE>Ghada</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Mged</FamilyE>
				<Organizations>
				<Organization>Department of clinical pathology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Shrouk</Name>
				<MidName></MidName>
				<Family>Salah</Family>
				<NameE>Shrouk</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Salah</FamilyE>
				<Organizations>
				<Organization>Department of Internal Medicine and Clinical Hematology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Haydi</Name>
				<MidName></MidName>
				<Family>Sayed</Family>
				<NameE>Haydi</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Sayed</FamilyE>
				<Organizations>
				<Organization>Department of Internal Medicine and Clinical Hematology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>LAMP5</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Multiple Myeloma</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Prognosis</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
				<REF>Ledergor, G., Weiner, A., Zada, M. et al. (2018). Single cell dissection of plasma cell heterogeneity in symptomatic and asymptomatic myeloma. Nat Med 24, 1867-1876.##Gracia-Maldonado G, Clark J, Burwinkel M, et al ., (2022). LAMP-5 is an essential inflammatory-signaling regulator and novel immunotherapy target for mixed lineage leukemia-rearranged acute leukemia. Haematologica.; 107(4):803-815.##Gracia-Maldonado, G., Clark, J., Pierre, P., et al ., (2018). The Role of LAMP5 in Innate Immune Signaling Is Critical for the Survival of MLL Leukemias. Blood, 132, 3900.##Rajkumar, S., Dimopoulos, M., Palumbo, A. (2014). International Myeloma Working Group Updated Criteria for the Diagnosis of Multiple Myeloma. The Lancet Oncology, 15(12), e538-548.##Palumbo A, Avet-Loiseau H, Oliva S, Lokhorst HM, et al., (2015). Revised International Staging System for Multiple Myeloma: A Report From International Myeloma Working Group. J Clin Oncol. 10;33(26):2863-9.##Martin W. Schoen, Suhong Luo, Brian Gage, Kenneth Robert Carson, Kristen Marie Sanfilippo, (2018). Journal of Clinical Oncology, 36:15_suppl, 8051-8051.##Harousseau, J. L., Attal, M., &#38; Avet-Loiseau, H.et al ., (2009). The role of complete response in multiple myeloma. Blood, The Journal of the American Society of Hematology, 114(15), 3139-3146##de Larrea C. F., Tovar N., Rozman M et al ., (2011). Multiple myeloma in serologic complete remission after autologous stem cell transplantation: impact of bone marrow plasma cell assessment by conventional morphology on disease progression. Biology of blood transplantation, 17(7), 1084-1087.##Harousseau, J. L., Attal, M., &#38; Avet-Loiseau, H.et al ., (2009). The role of complete response in multiple myeloma. Blood, The Journal of the American Society of Hematology, 114(15), 3139-3146.##Umeda S, Kanda M, Shimizu D, et al., (2022). Lysosomal associated Membrane Protein Family Member 5 Promotes the Metastatic Potential of Gastric Cancer Cells. Gastric Cancer; 25(3):558-72.##Chen, Y., &#38; Ma, T. (2023). LAMP5 may promote MM progression by activating p38. Pathology and Oncology Research, 29, 1611083.##Wang, H., Rueda, L. Y. M., Dang, M., Lee, et al ., (2023). Lysosomal Associated Membrane Protein Family Member 5 (LAMP5) As a Novel Mediator of, and Target in High Risk Multiple Myeloma (MM). Blood, 142, 873.## ##</REF>
			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>The Immune Microenvironment in Acute Myeloid Leukemia: Mechanisms of Immune Evasion and Emerging Therapeutic Strategies</TitleF>
		<TitleE></TitleE>
		<TitleLang_ID>2</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Acute Myeloid Leukemia (AML), a diverse type of blood cancer, is characterized by the unchecked multiplication of myeloid precursor cells within a disrupted bone marrow microenvironment (BMM). Leukemic blasts alter the BMM to create a leukemia niche, promoting immunological evasion and disease development. High relapse rates highlight the need for novel therapeutic approaches, even if chemotherapy is still the cornerstone of treatment. AML cells use many strategies to avoid immune identification, such as suppressing anti-leukemic immune responses and upregulating immune checkpoints. Immunotherapies like checkpoint inhibitors that target these pathways have shown encouraging promise. The intricate relationships between AML and the immunological milieu are examined in this review, with a focus on immune evasion, treatment resistance, and innovative immunotherapeutic strategies to improve anti-leukemic immunity.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>79</FPAGE>
			<TPAGE>95</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2025/07/42025/07/142025/08/192025/07/242025/07/172025/08/102025/07/102025/08/112025/07/21
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1404/4/30
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2025/09/242025/09/112025/09/112025/09/112025/09/172025/09/252025/09/102025/09/252025/09/11
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1404/6/20
		</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>Department of General Medicine, Teerthanker Mahaveer Medical College &#38; Research Centre, Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>drvinodkumarsingh85@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Prithpal</Name>
				<MidName></MidName>
				<Family>Singh Matreja</Family>
				<NameE>Prithpal</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Singh Matreja</FamilyE>
				<Organizations>
				<Organization>Department of Pharmacology, Teerthanker Mahaveer Medical College &#38; Research Centre, Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Sudhir</Name>
				<MidName></MidName>
				<Family>Singh</Family>
				<NameE>Sudhir</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Singh</FamilyE>
				<Organizations>
				<Organization>Department of microbiology, Teerthanker Mahaveer Medical College &#38; Research Centre, Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Seema</Name>
				<MidName></MidName>
				<Family>Awasthi</Family>
				<NameE>Seema</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Awasthi</FamilyE>
				<Organizations>
				<Organization>Department of pathology, Teerthanker Mahaveer Medical College &#38; Research Centre, Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Acute Myeloid Leukemia</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Hematological malignancies</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Cytogenetics</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
				<REF>Testa U, Castelli G, Pelosi E. Recent Developments in Differentiation Therapy of Acute Myeloid Leukemia. 2025;##Ladikou EE, Sivaloganathan H, Pepper A, Chevassut T. Acute myeloid leukaemia in its niche: the bone marrow microenvironment in acute myeloid leukaemia. Curr Oncol Rep. 2020;22:1-9.##Sendker S, Reinhardt D, Niktoreh N. Redirecting the immune microenvironment in acute myeloid leukemia. Cancers (Basel). 2021;13(6):1423.##Zhang M, Yang Y, Liu J, Guo L, Guo Q, Liu W. Bone marrow immune cells and drug resistance in acute myeloid leukemia. Exp Biol Med. 2025;250:10235.##Döhner H, Weisdorf DJ, Bloomfield CD. Acute myeloid leukemia. New England Journal of Medicine. 2015;373(12):1136-52.##Luppi M, Fabbiano F, Visani G, Martinelli G, Venditti A. Novel agents for acute myeloid leukemia. Cancers (Basel). 2018;10(11):429.##Sun H, Li Y, Zhang Z fen, Ju Y, Li L, Zhang B chang, et al. Increase in myeloid-derived suppressor cells (MDSCs) associated with minimal residual disease (MRD) detection in adult acute myeloid leukemia. Int J Hematol. 2015;102:579-86.##Teague RM, Kline J. Immune evasion in acute myeloid leukemia: current concepts and future directions. J Immunother Cancer. 2013;1:1-11.##Wang A, Zhong H. Roles of the bone marrow niche in hematopoiesis, leukemogenesis, and chemotherapy resistance in acute myeloid leukemia. Hematology. 2018;23(10):729-39.##Taghiloo S, Asgarian-Omran H. Current approaches of immune checkpoint therapy in chronic lymphocytic leukemia. Curr Treat Options Oncol. 2023;24(10):1408-38.##Tikhonova AN, Dolgalev I, Hu H, Sivaraj KK, Hoxha E, Cuesta-Domínguez Á, et al. The bone marrow microenvironment at single-cell resolution. Nature. 2019;569(7755):222-8.##Comazzetto S, Shen B, Morrison SJ. Niches that regulate stem cells and hematopoiesis in adult bone marrow. Dev Cell. 2021;56(13):1848-60.##Baryawno N, Przybylski D, Kowalczyk MS, Kfoury Y, Severe N, Gustafsson K, et al. A cellular taxonomy of the bone marrow stroma in homeostasis and leukemia. Cell. 2019;177(7):1915-32.##Méndez-Ferrer S, Bonnet D, Steensma DP, Hasserjian RP, Ghobrial IM, Gribben JG, et al. Bone marrow niches in haematological malignancies. Nat Rev Cancer. 2020;20(5):285-98.##Raaijmakers MHGP, Mukherjee S, Guo S, Zhang S, Kobayashi T, Schoonmaker JA, et al. Bone progenitor dysfunction induces myelodysplasia and secondary leukaemia. Nature. 2010;464(7290):852-7.##Walkley CR, Olsen GH, Dworkin S, Fabb SA, Swann J, McArthur GA, et al. A microenvironment-induced myeloproliferative syndrome caused by retinoic acid receptor γ deficiency. Cell. 2007;129(6):1097-110.##Ho YH, Del Toro R, Rivera-Torres J, Rak J, Korn C, García-García A, et al. Remodeling of bone marrow hematopoietic stem cell niches promotes myeloid cell expansion during premature or physiological aging. Cell Stem Cell. 2019;25(3):407-18.##Mendelson A, Frenette PS. Hematopoietic stem cell niche maintenance during homeostasis and regeneration. Nat Med. 2014;20(8):833-46.##Maryanovich M, Zahalka AH, Pierce H, Pinho S, Nakahara F, Asada N, et al. Adrenergic nerve degeneration in bone marrow drives aging of the hematopoietic stem cell niche. Nat Med. 2018;24(6):782-91.##Arranz L, Sánchez-Aguilera A, Martín-Pérez D, Isern J, Langa X, Tzankov A, et al. Neuropathy of haematopoietic stem cell niche is essential for myeloproliferative neoplasms. Nature. 2014;512(7512):78-81.##Grockowiak E, Korn C, Rak J, Lysenko V, Hallou A, Panvini FM, et al. Different niches for stem cells carrying the same oncogenic driver affect pathogenesis and therapy response in myeloproliferative neoplasms. Nat Cancer. 2023;4(8):1193-209.##Li R, Zhou Y, Cao Z, Liu L, Wang J, Chen Z, et al. TET2 loss dysregulates the behavior of bone marrow mesenchymal stromal cells and accelerates Tet2−/−-driven myeloid malignancy progression. Stem Cell Reports. 2018;10(1):166-79.##Zhang P, Chen Z, Li R, Guo Y, Shi H, Bai J, et al. Loss of ASXL1 in the bone marrow niche dysregulates hematopoietic stem and progenitor cell fates. Cell Discov. 2018;4(1):4.##https://doi.org/10.1038/s41421-017-0004-z##SanMiguel JM, Eudy E, Loberg MA, Young KA, Mistry JJ, Mujica KD, et al. Distinct tumor necrosis factor alpha receptors dictate stem cell fitness versus lineage output in Dnmt3a-mutant clonal hematopoiesis. Cancer Discov. 2022;12(12):2763-73.##Hanoun M, Zhang D, Mizoguchi T, Pinho S, Pierce H, Kunisaki Y, et al. Acute myelogenous leukemia-induced sympathetic neuropathy promotes malignancy in an altered hematopoietic stem cell niche. Cell Stem Cell. 2014;15(3):365-75.##Rios de los Rios J, Enciso J, Vilchis-Ordoñez A, Vázquez-Ramírez R, Ramirez-Ramirez D, Balandrán JC, et al. Acute lymphoblastic leukemia-secreted miRNAs induce a proinflammatory microenvironment and promote the activation of hematopoietic progenitors. J Leukoc Biol. 2022;112(1):31-45.##Balandrán JC, Purizaca J, Enciso J, Dozal D, Sandoval A, Jiménez-Hernández E, et al. Pro-inflammatory-related loss of CXCL12 niche promotes acute lymphoblastic leukemic progression at the expense of normal lymphopoiesis. Front Immunol. 2017;7:666.##Agarwal P, Isringhausen S, Li H, Paterson AJ, He J, Gomariz Á, et al. Mesenchymal niche-specific expression of Cxcl12 controls quiescence of treatment-resistant leukemia stem cells. Cell Stem Cell. 2019;24(5):769-84.##Schneider RK, Mullally A, Dugourd A, Peisker F, Hoogenboezem R, Van Strien PMH, et al. Gli1+ mesenchymal stromal cells are a key driver of bone marrow fibrosis and an important cellular therapeutic target. Cell Stem Cell. 2017;20(6):785-800.##Zehtabcheh S, Yousefi AM, Salari S, Safa M, Momeny M, Ghaffari SH, Bashash D. 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			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>Efficacy and Challenges of Pediatric Cord Blood Transplantation: Insights from a Retrospective Single-Center Study</TitleF>
		<TitleE></TitleE>
		<TitleLang_ID>2</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Background: Umbilical cord blood transplantation (UCBT) serves as a valuable alternative for pediatric patients without matched donors, particularly in urgent situations where timely transplantation is critical. While UCBT offers immunological benefits and broader donor availability, its clinical outcomes remain inconsistent, especially in non-malignant hematologic disorders. Objective: To evaluate clinical outcomes of UCBT in pediatric patients with malignant and non-malignant hematologic conditions, focusing on transplant-related complications and survival rates.
Methods: In this retrospective single-center study, we analyzed 14 pediatric patients (aged 0.7&#8211;11 years) who underwent allogeneic UCBT at Mofid Children&#8217;s Hospital between 2019 and 2024. Data were extracted from institutional registries and medical records, including patient demographics, disease classification, graft characteristics, conditioning regimens, engraftment status, incidence of graft-versus-host disease (GVHD), infections, and survival outcomes.
Results: Among the 14 patients, 85.7% had non-malignant disorders. Most received unrelated donor grafts, with HLA matching of 6/6 in 42.9%, 5/6 in 50%, and 4/6 in 7.1%. The median total nucleated cell dose was 4.95&#215;10⁷/kg, and the median CD34⁺ cell dose was 1.7&#215;10⁵/kg. Neutrophil engraftment was achieved in 42.9% of patients, with a median of 19 days. Primary graft failure occurred in 50% of patients, and secondary graft failure in 7.1%. Acute GVHD developed in 14.3% of cases, while no chronic GVHD was observed. CMV reactivation occurred in 42.9% of patients, and bacterial infections were reported in 57.1%. The overall survival rate was 42.9%, with transplant-related mortality accounting for 57.1% of cases, due to infections and graft failure.
Conclusion: UCBT remains a feasible therapeutic option for pediatric patients lacking matched donors, particularly in urgent or resource-constrained settings. However, the high incidence of graft failure and infection-related mortality highlights the need for improved graft selection strategies, personalized conditioning protocols, and optimized post-transplant care to enhance patient outcomes.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>96</FPAGE>
			<TPAGE>105</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2025/07/42025/07/142025/08/192025/07/242025/07/172025/08/102025/07/102025/08/112025/07/212025/10/28
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1404/8/6
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2025/09/242025/09/112025/09/112025/09/112025/09/172025/09/252025/09/102025/09/252025/09/112025/11/15
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1404/8/24
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>Bibi Shahin</Name>
				<MidName></MidName>
				<Family>Shamsian</Family>
				<NameE>Bibi Shahin</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Shamsian</FamilyE>
				<Organizations>
				<Organization>Pediatric Congenital Hematologic Disorders Research Center, Research Institute for Children’s Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Nader</Name>
				<MidName></MidName>
				<Family>Momtazmanesh</Family>
				<NameE>Nader</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Momtazmanesh</FamilyE>
				<Organizations>
				<Organization>Pediatric Congenital Hematologic Disorders Research Center, Research Institute for Children’s Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Vahide</Name>
				<MidName></MidName>
				<Family>Zeinali</Family>
				<NameE>Vahide</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Zeinali</FamilyE>
				<Organizations>
				<Organization>Research Institute for Children’s Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>Arezou</Name>
				<MidName></MidName>
				<Family>Sayad</Family>
				<NameE>Arezou</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Sayad</FamilyE>
				<Organizations>
				<Organization>Genomic Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email></Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>sharareh</Name>
				<MidName></MidName>
				<Family>kamfar</Family>
				<NameE>sharareh</NameE>
				<MidNameE></MidNameE>
				<FamilyE>kamfar</FamilyE>
				<Organizations>
				<Organization>Pediatric Congenital Hematologic Disorders Research Center, Research Institute for Children’s Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.</Organization>
				</Organizations>
				<Countries>
				<Country></Country>
				</Countries>
				<EMAILS>
				<Email>kamfarsharareh@gmail.com</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Umbilical cord blood transplantation</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Graft-versus-host disease</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>HLA matching</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Neutrophil engraftment</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Graft failure</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
				<REF>## ##</REF>
			</REFRENCE>
		</REFRENCES>

	</ARTICLE>

</ARTICLES>

</JOURNAL>
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