<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Talia M</submitter><funding>Ministero dell'Università e della Ricerca</funding><funding>Ministero della Salute</funding><funding>Fondazione AIRC per la ricerca sul cancro ETS</funding><funding>Ministero dell’Università e della Ricerca</funding><pagination>597</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11210052</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>22(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Over the last two decades, tumor-derived RNA expression signatures have been developed for the two most commonly diagnosed tumors worldwide, namely prostate and breast tumors, in order to improve both outcome prediction and treatment decision-making. In this context, molecular signatures gained by main components of the tumor microenvironment, such as cancer-associated fibroblasts (CAFs), have been explored as prognostic and therapeutic tools. Nevertheless, a deeper understanding of the significance of CAFs-related gene signatures in breast and prostate cancers still remains to be disclosed.&lt;h4>Methods&lt;/h4>RNA sequencing technology (RNA-seq) was employed to profile and compare the transcriptome of CAFs isolated from patients affected by breast and prostate tumors. The di</pubmed_abstract><journal>Journal of translational medicine</journal><pubmed_title>Cancer-associated fibroblasts (CAFs) gene signatures predict outcomes in breast and prostate tumor patients.</pubmed_title><pmcid>PMC11210052</pmcid><funding_grant_id>IG n. 23369</funding_grant_id><funding_grant_id>Start-Up Grant 21651</funding_grant_id><funding_grant_id>Prin 2022 PNRR P2022MALRP</funding_grant_id><funding_grant_id>IG n. 27386</funding_grant_id><funding_grant_id>Prin 2022 202282CMEA</funding_grant_id><funding_grant_id>RF-2019-12368937</funding_grant_id><funding_grant_id>Prin 2022 2022Y79PT4</funding_grant_id><pubmed_authors>Cirillo F</pubmed_authors><pubmed_authors>Cesario E</pubmed_authors><pubmed_authors>Mondino AA</pubmed_authors><pubmed_authors>Talia M</pubmed_authors><pubmed_authors>Belfiore A</pubmed_authors><pubmed_authors>Miglietta AM</pubmed_authors><pubmed_authors>Occhiuzzi MA</pubmed_authors><pubmed_authors>Di Dio M</pubmed_authors><pubmed_authors>Scordamaglia D</pubmed_authors><pubmed_authors>Capalbo C</pubmed_authors><pubmed_authors>Zicarelli A</pubmed_authors><pubmed_authors>Lappano R</pubmed_authors><pubmed_authors>De Francesco EM</pubmed_authors><pubmed_authors>Maggiolini M</pubmed_authors></additional><is_claimable>false</is_claimable><name>Cancer-associated fibroblasts (CAFs) gene signatures predict outcomes in breast and prostate tumor patients.</name><description>&lt;h4>Background&lt;/h4>Over the last two decades, tumor-derived RNA expression signatures have been developed for the two most commonly diagnosed tumors worldwide, namely prostate and breast tumors, in order to improve both outcome prediction and treatment decision-making. In this context, molecular signatures gained by main components of the tumor microenvironment, such as cancer-associated fibroblasts (CAFs), have been explored as prognostic and therapeutic tools. Nevertheless, a deeper understanding of the significance of CAFs-related gene signatures in breast and prostate cancers still remains to be disclosed.&lt;h4>Methods&lt;/h4>RNA sequencing technology (RNA-seq) was employed to profile and compare the transcriptome of CAFs isolated from patients affected by breast and prostate tumors. The di</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Jun</publication><modification>2026-06-02T01:48:54.271Z</modification><creation>2026-04-13T03:12:15.495Z</creation></dates><accession>S-EPMC11210052</accession><cross_references><pubmed>38937754</pubmed><doi>10.1186/s12967-024-05413-2</doi></cross_references></HashMap>