<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Hou C</submitter><funding>Changzhou Key Medical Discipline</funding><funding>Changzhou Sci&amp;Tech Program</funding><funding>Changzhou Sci&amp;amp;Tech Program</funding><pagination>1042</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11575019</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>22(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Heart failure (HF) and cancer share common risk factors and pathophysiological mechanisms, including fibrosis. Identifying biomarkers and therapeutic targets for both conditions is crucial.&lt;h4>Materials and methods&lt;/h4>RNA sequencing data from HF patients were analyzed to identify 12 genes associated with myocardial fibrosis. Validation was performed using public datasets, and functional enrichment analyses were conducted. Gene expression patterns and prognostic value in various cancers were assessed.&lt;h4>Results&lt;/h4>Fibromodulin (FMOD), Periostin (POSTN), Latent Transforming Growth Factor Beta Binding Protein 2 (LTBP2), Collagen Type I Alpha 1 Chain (COL1A1), Collagen Type VIII Alpha 1 Chain (COL8A1), Asporin (ASPN), and Hemoglobin Subunit Beta (HBB) showed significant d</pubmed_abstract><journal>Journal of translational medicine</journal><pubmed_title>Identification of fibrosis-associated biomarkers in heart failure and human cancers.</pubmed_title><pmcid>PMC11575019</pmcid><funding_grant_id>CZXK202202</funding_grant_id><funding_grant_id>CJ20235085</funding_grant_id><pubmed_authors>Yang X</pubmed_authors><pubmed_authors>Huo J</pubmed_authors><pubmed_authors>Yan S</pubmed_authors><pubmed_authors>Sun F</pubmed_authors><pubmed_authors>Hou C</pubmed_authors></additional><is_claimable>false</is_claimable><name>Identification of fibrosis-associated biomarkers in heart failure and human cancers.</name><description>&lt;h4>Background&lt;/h4>Heart failure (HF) and cancer share common risk factors and pathophysiological mechanisms, including fibrosis. Identifying biomarkers and therapeutic targets for both conditions is crucial.&lt;h4>Materials and methods&lt;/h4>RNA sequencing data from HF patients were analyzed to identify 12 genes associated with myocardial fibrosis. Validation was performed using public datasets, and functional enrichment analyses were conducted. Gene expression patterns and prognostic value in various cancers were assessed.&lt;h4>Results&lt;/h4>Fibromodulin (FMOD), Periostin (POSTN), Latent Transforming Growth Factor Beta Binding Protein 2 (LTBP2), Collagen Type I Alpha 1 Chain (COL1A1), Collagen Type VIII Alpha 1 Chain (COL8A1), Asporin (ASPN), and Hemoglobin Subunit Beta (HBB) showed significant d</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Nov</publication><modification>2026-07-15T09:40:11.206Z</modification><creation>2025-04-04T02:12:21.936Z</creation></dates><accession>S-EPMC11575019</accession><cross_references><pubmed>39563337</pubmed><doi>10.1186/s12967-024-05759-7</doi></cross_references></HashMap>