<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Lee JJ</submitter><funding>NCI NIH HHS</funding><funding>NIH</funding><funding>Cancer Prevention and Research Institute of Texas</funding><pagination>5912-5921</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8563410</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>27(21)</volume><pubmed_abstract>&lt;h4>Purpose&lt;/h4>Precision medicine approaches in pancreatic ductal adenocarcinoma (PDAC) are imperative for improving disease outcomes. With molecular subtypes of PDAC gaining relevance in the context of therapeutic stratification, the ability to characterize heterogeneity of cancer-specific gene expression patterns is of great interest. In addition, understanding patterns of immune evasion within PDAC is of importance as novel immunotherapeutic strategies are developed.&lt;h4>Experimental design&lt;/h4>Single-cell RNA sequencing (scRNA-seq) is readily applicable to limited biopsies from human primary and metastatic PDAC and identifies most cancers as being an admixture of previously described epithelial transcriptomic subtypes.&lt;h4>Results&lt;/h4>Integrative analyses of our data provide an in-depth</pubmed_abstract><journal>Clinical cancer research : an official journal of the American Association for Cancer Research</journal><pubmed_title>Elucidation of Tumor-Stromal Heterogeneity and the Ligand-Receptor Interactome by Single-Cell Transcriptomics in Real-world Pancreatic Cancer Biopsies.</pubmed_title><pmcid>PMC8563410</pmcid><funding_grant_id>U01CA200468</funding_grant_id><funding_grant_id>U54CA096297</funding_grant_id><funding_grant_id>U54 CA096300</funding_grant_id><funding_grant_id>U01 CA196403</funding_grant_id><funding_grant_id>CPRIT RR140012</funding_grant_id><funding_grant_id>U01 CA200468</funding_grant_id><funding_grant_id>T32 CA217789</funding_grant_id><funding_grant_id>U54CA096300</funding_grant_id><funding_grant_id>T32 CA009599</funding_grant_id><funding_grant_id>R01CA227518-01A1</funding_grant_id><funding_grant_id>U01CA196403</funding_grant_id><funding_grant_id>P50CA221707</funding_grant_id><funding_grant_id>T32CA009599</funding_grant_id><funding_grant_id>R01 CA227517</funding_grant_id><funding_grant_id>SE-2616/2-1</funding_grant_id><funding_grant_id>U54 CA096297</funding_grant_id><funding_grant_id>P50 CA221707</funding_grant_id><funding_grant_id>T32CA217789</funding_grant_id><pubmed_authors>Taniguchi CM</pubmed_authors><pubmed_authors>Monberg ME</pubmed_authors><pubmed_authors>Huang J</pubmed_authors><pubmed_authors>Weston BR</pubmed_authors><pubmed_authors>Bernard V</pubmed_authors><pubmed_authors>Stephens BM</pubmed_authors><pubmed_authors>Bernatchez C</pubmed_authors><pubmed_authors>Semaan A</pubmed_authors><pubmed_authors>Haymaker CL</pubmed_authors><pubmed_authors>Rajapakshe KI</pubmed_authors><pubmed_authors>Bhutani MS</pubmed_authors><pubmed_authors>Maitra A</pubmed_authors><pubmed_authors>Lin D</pubmed_authors><pubmed_authors>Lee JJ</pubmed_authors><pubmed_authors>Guerrero PA</pubmed_authors></additional><is_claimable>false</is_claimable><name>Elucidation of Tumor-Stromal Heterogeneity and the Ligand-Receptor Interactome by Single-Cell Transcriptomics in Real-world Pancreatic Cancer Biopsies.</name><description>&lt;h4>Purpose&lt;/h4>Precision medicine approaches in pancreatic ductal adenocarcinoma (PDAC) are imperative for improving disease outcomes. With molecular subtypes of PDAC gaining relevance in the context of therapeutic stratification, the ability to characterize heterogeneity of cancer-specific gene expression patterns is of great interest. In addition, understanding patterns of immune evasion within PDAC is of importance as novel immunotherapeutic strategies are developed.&lt;h4>Experimental design&lt;/h4>Single-cell RNA sequencing (scRNA-seq) is readily applicable to limited biopsies from human primary and metastatic PDAC and identifies most cancers as being an admixture of previously described epithelial transcriptomic subtypes.&lt;h4>Results&lt;/h4>Integrative analyses of our data provide an in-depth</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Nov</publication><modification>2026-05-31T06:06:00.747Z</modification><creation>2025-02-19T01:55:22.406Z</creation></dates><accession>S-EPMC8563410</accession><cross_references><pubmed>34426439</pubmed><doi>10.1158/1078-0432.ccr-20-3925</doi><doi>10.1158/1078-0432.CCR-20-3925</doi></cross_references></HashMap>