<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>Iranian Journal of Blood and Cancer</title>
<title_fa></title_fa>
<short_title>Iranian Journal of Blood and Cancer</short_title>
<subject>Medical Sciences</subject>
<web_url>http://ijbc.ir</web_url>
<journal_hbi_system_id>1</journal_hbi_system_id>
<journal_hbi_system_user>admin</journal_hbi_system_user>
<journal_id_issn>2008-4595</journal_id_issn>
<journal_id_issn_online>2008-4609</journal_id_issn_online>
<journal_id_pii>8</journal_id_pii>
<journal_id_doi>10.61882/ijbc</journal_id_doi>
<journal_id_iranmedex></journal_id_iranmedex>
<journal_id_magiran></journal_id_magiran>
<journal_id_sid>14</journal_id_sid>
<journal_id_nlai>2008-4595</journal_id_nlai>
<journal_id_science>13</journal_id_science>
<language>en</language>
<pubdate>
	<type>jalali</type>
	<year>1404</year>
	<month>12</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2026</year>
	<month>3</month>
	<day>1</day>
</pubdate>
<volume>18</volume>
<number>1</number>
<publish_type>online</publish_type>
<publish_edition>1</publish_edition>
<article_type>fulltext</article_type>
<articleset>
	<article>


	<language>en</language>
	<article_id_doi></article_id_doi>
	<title_fa></title_fa>
	<title>Extracellular Immune Signatures as Prognostic Biomarkers and Liquid-Biopsy Candidates in AML</title>
	<subject_fa></subject_fa>
	<subject>AI in Medicine</subject>
	<content_type_fa>پژوهشي</content_type_fa>
	<content_type>Original Article</content_type>
	<abstract_fa></abstract_fa>
	<abstract>&lt;div style=&quot;text-align: justify;&quot;&gt;&lt;span style=&quot;font-size:14px;&quot;&gt;&lt;span style=&quot;line-height:2;&quot;&gt;&lt;span style=&quot;font-family:Times New Roman;&quot;&gt;&lt;strong&gt;Background: &lt;/strong&gt;Acute myeloid leukemia (AML) has poor long-term survival, necessitating robust prognostic biomarkers. While conventional markers focus on cytogenetics and mutations, immune-extracellular genes suitable for liquid biopsy remain understudied.&lt;br&gt;
&lt;strong&gt;Methods:&lt;/strong&gt; RNA-sequencing data from 200 AML patients were analyzed from The Cancer Genome Atlas (TCGA). Univariate Cox regression identified survival-associated genes. Gene Ontology enrichment analysis selected immune and extracellular genes, with Kaplan-Meier analysis validating prognostic significance. REACTOME pathway enrichment revealed biological mechanisms. External validation used GEPIA2.&lt;br&gt;
&lt;strong&gt;Results: &lt;/strong&gt;Cox regression identified 201 survival-associated genes (p&lt;0.05): 149 favorable prognosis (HR&lt;1) and 52 poor prognosis (HR&gt;1). Gene Ontology enrichment revealed 29 immune-associated and 9 extracellular genes, with 5 overlapping candidates. Kaplan-Meier analysis confirmed four genes; EPHA10, CD160, BTN2A2, and KLRK1 as significant protective prognostic markers (p&lt;0.05, HR&lt;1). REACTOME analysis highlighted immune signaling pathways including adaptive immune response, natural killer cell-mediated cytotoxicity, and cell surface interactions. External validation demonstrated differential expression in AML versus normal tissues.&lt;br&gt;
&lt;strong&gt;Conclusion:&lt;/strong&gt; This study identified EPHA10, CD160, BTN2A2, and KLRK1 as novel immune-extracellular prognostic biomarkers in AML. These genes represent promising candidates for liquid biopsy applications and personalized immunotherapy strategies, offering new perspectives for monitoring immune surveillance and overcoming AML immune evasion.&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;</abstract>
	<keyword_fa></keyword_fa>
	<keyword>Acute myeloid leukemia, Biomarkers, Immune microenvironment, Extracellular genes, Prognosis, TCGA</keyword>
	<start_page>40</start_page>
	<end_page>48</end_page>
	<web_url>http://ijbc.ir/browse.php?a_code=A-10-2180-3&amp;slc_lang=en&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>Nikoo</first_name>
	<middle_name></middle_name>
	<last_name>Saeedi</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email></email>
	<code>100319475328460013144</code>
	<orcid>100319475328460013144</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation>Student Research Committee, Islamic Azad University, Mashhad Branch, Mashhad, Iran.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Ghazaleh</first_name>
	<middle_name></middle_name>
	<last_name>Khalili Tanha</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email></email>
	<code>100319475328460013145</code>
	<orcid>100319475328460013145</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Department of Medical Genetics and Molecular Medicine, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Amir Ali</first_name>
	<middle_name></middle_name>
	<last_name>Judaki</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>magh2022@gmail.com</email>
	<code>100319475328460013146</code>
	<orcid>100319475328460013146</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Elham</first_name>
	<middle_name></middle_name>
	<last_name>Nazari</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>Elham.nazari@sbmu.ac.ir</email>
	<code>100319475328460013147</code>
	<orcid>100319475328460013147</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


</author_list>


	</article>
</articleset>
</journal>
