<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>International Journal of Biology Reports</title>
<title_fa>1</title_fa>
<short_title>injbir</short_title>
<subject>Literature &amp; Humanities</subject>
<web_url>http://injbir.com</web_url>
<journal_hbi_system_id>1</journal_hbi_system_id>
<journal_hbi_system_user>admin</journal_hbi_system_user>
<journal_id_issn>2980-9843</journal_id_issn>
<journal_id_issn_online>2980-9843</journal_id_issn_online>
<journal_id_pii>8</journal_id_pii>
<journal_id_doi>10.22034/injbir</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>8888</journal_id_nlai>
<journal_id_science>13</journal_id_science>
<language>en</language>
<pubdate>
	<type>jalali</type>
	<year>1405</year>
	<month>8</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2026</year>
	<month>11</month>
	<day>1</day>
</pubdate>
<volume>5</volume>
<number>2</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>Pan-cancer analysis of dysregulated microRNAs: An integrative database-based approach to identifying candidate biomarkers</title>
	<subject_fa>عمومى</subject_fa>
	<subject>General</subject>
	<content_type_fa>پژوهشي</content_type_fa>
	<content_type>Research</content_type>
	<abstract_fa></abstract_fa>
	<abstract>&lt;span style=&quot;font-size:12pt&quot;&gt;&lt;span style=&quot;font-family:&amp;quot;Times New Roman&amp;quot;,serif&quot;&gt;MicroRNAs (miRNAs) play important roles in the regulation of gene expression and are frequently dysregulated in human cancers. Although numerous miRNAs have been investigated as potential cancer biomarkers, identifying recurrent expression patterns and prioritizing candidates across different cancer types remain challenging. This study aimed to integrate database-derived evidence and literature-based information to characterize recurrent miRNA dysregulation patterns and explore their potential biological relevance to cancer biomarker research. Data from 7,271 studies recorded in the miRCancer database and 85 studies involving cancer patient biofluids retrieved from the miRandola database were analyzed. Ten candidate miRNAs were prioritized based on reporting frequency, expression patterns and biological relevance. Their associated target genes were subsequently investigated using gene ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. Expression patterns were also examined across the ten most frequently represented cancer types, with additional literature searches performed in PubMed, Scopus and Web of Science. Four miRNAs, namely miR-21, miR-221, miR-155 and miR-210, were frequently reported as upregulated and associated with oncogenic processes and the regulation of tumor-suppressor pathways. GO enrichment analysis highlighted biological processes related to responses to organic substances and positive regulation of cell proliferation (&lt;em&gt;p&lt;/em&gt; &lt; 0.001), while KEGG analysis identified associations with cellular senescence and FoxO signaling pathways (&lt;em&gt;p&lt;/em&gt; &lt; 0.05). Conversely, miR-145, miR-34a, miR-375, miR-143, miR-101 and miR-126 were frequently reported as downregulated and associated with tumor-suppressive functions. Their target-gene enrichment profiles indicated associations with apoptosis regulation and signaling pathways, including PI3K&amp;ndash;Akt and MAPK (&lt;em&gt;p&lt;/em&gt; &lt; 0.05). Overall, the findings provide an integrated overview of recurrent miRNA dysregulation patterns across multiple solid cancer types and identify candidate molecules for further investigation. However, additional experimental validation, independent clinical cohort studies and diagnostic performance assessments are necessary before these miRNAs can be considered reliable clinical biomarkers.&lt;/span&gt;&lt;/span&gt;</abstract>
	<keyword_fa></keyword_fa>
	<keyword>microRNAs, Solid cancers, Cancer biomarkers, miRNA dysregulation, Gene ontology, Pathway enrichment</keyword>
	<start_page>0</start_page>
	<end_page>0</end_page>
	<web_url>http://injbir.com/browse.php?a_code=A-10-42-1&amp;slc_lang=en&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>Farhad</first_name>
	<middle_name></middle_name>
	<last_name>Kamandi</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>Kamandi.farhad@yahoo.com</email>
	<code></code>
	<orcid></orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Department of Microbial Biotechnology, Faculty of Biotechnology, Amol University of Special Modern Technologies, Amol, 4615664616, Iran.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Mojtaba</first_name>
	<middle_name></middle_name>
	<last_name>Ranjbar</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>ranjbarmf@gmail.com</email>
	<code></code>
	<orcid></orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation>Department of Microbial Biotechnology, Faculty of Biotechnology, Amol University of Special Modern Technologies, Amol, 4615664616, Iran.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Mahmoud</first_name>
	<middle_name></middle_name>
	<last_name>Kiani</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>mahmoudkiani@hotmail.com</email>
	<code></code>
	<orcid></orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Faculty of Medicinal Plants, Amol University of Special Modern Technologies, Amol, 4615664616, Iran.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


</author_list>


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