<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Komura D</submitter><funding>Japan Agency for Medical Research and Development</funding><funding>Tokyo Medical and Dental University</funding><funding>Japan Society for the Promotion of Science</funding><pagination>899</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5103609</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>17(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Cancer microenvironment plays a vital role in cancer development and progression, and cancer-stromal interactions have been recognized as important targets for cancer therapy. However, identifying relevant and druggable cancer-stromal interactions is challenging due to the lack of quantitative methods to analyze whole cancer-stromal interactome.&lt;h4>Results&lt;/h4>We present CASTIN (CAncer-STromal INteractome analysis), a novel framework for the evaluation of cancer-stromal interactome from RNA-Seq data using cancer xenograft models. For each ligand-receptor interaction which is derived from curated protein-protein interaction database, CASTIN summarizes gene expression profiles of cancer and stroma into three evaluation indices. These indices provide quantitative evaluation</pubmed_abstract><journal>BMC genomics</journal><pubmed_title>CASTIN: a system for comprehensive analysis of cancer-stromal interactome.</pubmed_title><pmcid>PMC5103609</pmcid><funding_grant_id>4K112</funding_grant_id><funding_grant_id>15H04287</funding_grant_id><funding_grant_id>16H02481</funding_grant_id><pubmed_authors>Suzuki R</pubmed_authors><pubmed_authors>Ishikawa S</pubmed_authors><pubmed_authors>Kishi K</pubmed_authors><pubmed_authors>Sato R</pubmed_authors><pubmed_authors>Fukayama M</pubmed_authors><pubmed_authors>Isagawa T</pubmed_authors><pubmed_authors>Aburatani H</pubmed_authors><pubmed_authors>Yamamoto S</pubmed_authors><pubmed_authors>Komura D</pubmed_authors><pubmed_authors>Tanaka M</pubmed_authors><pubmed_authors>Katoh H</pubmed_authors><pubmed_authors>Tatsuno K</pubmed_authors></additional><is_claimable>false</is_claimable><name>CASTIN: a system for comprehensive analysis of cancer-stromal interactome.</name><description>&lt;h4>Background&lt;/h4>Cancer microenvironment plays a vital role in cancer development and progression, and cancer-stromal interactions have been recognized as important targets for cancer therapy. However, identifying relevant and druggable cancer-stromal interactions is challenging due to the lack of quantitative methods to analyze whole cancer-stromal interactome.&lt;h4>Results&lt;/h4>We present CASTIN (CAncer-STromal INteractome analysis), a novel framework for the evaluation of cancer-stromal interactome from RNA-Seq data using cancer xenograft models. For each ligand-receptor interaction which is derived from curated protein-protein interaction database, CASTIN summarizes gene expression profiles of cancer and stroma into three evaluation indices. These indices provide quantitative evaluation</description><dates><release>2016-01-01T00:00:00Z</release><publication>2016 Nov</publication><modification>2026-06-07T07:51:44.977Z</modification><creation>2025-05-29T20:21:40.68Z</creation></dates><accession>S-EPMC5103609</accession><cross_references><pubmed>27829362</pubmed><doi>10.1186/s12864-016-3207-z</doi></cross_references></HashMap>