<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Nacev BA</submitter><funding>Connective Tissue Oncology Society</funding><funding>Incyte</funding><funding>Witherwax fund</funding><funding>Amgen</funding><funding>Cycle for Survival</funding><funding>Bristol Myers Squibb</funding><funding>NEKTAR</funding><funding>National Cancer Institute</funding><funding>NCI NIH HHS</funding><funding>Henry R. Kravis Center for Molecular Oncology</funding><funding>Damon Runyon Cancer Research Foundation</funding><funding>Merck</funding><pagination>e012357</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12414182</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>13(9)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Response to immune checkpoint inhibition (ICI) in sarcomas is overall low and heterogeneous. Understanding determinants of ICI outcomes may improve efficacy and patient selection. Thus, we investigated whether the expression of transposable elements (TEs), which are epigenetically silenced and can stimulate antitumor immunity, influence ICI outcomes and immune infiltrates in common sarcoma subtypes.&lt;h4>Methods&lt;/h4>We used transcriptomic data to assign immune enhanced versus immune depleted status to 67 pretreatment and on-treatment biopsies of sarcomas from patients treated on ICI trials, along with additional cohorts from The Cancer Genome Atlas (TCGA) and an independent ICI trial (SARC028). A machine learning technique (lasso-penalized logistic regression) controlled f</pubmed_abstract><journal>Journal for immunotherapy of cancer</journal><pubmed_title>High transposable element expression in sarcomas is associated with increased immune infiltrates and improved outcomes including after immunotherapy.</pubmed_title><pmcid>PMC12414182</pmcid><funding_grant_id>N/A</funding_grant_id><funding_grant_id>P30 CA047904</funding_grant_id><funding_grant_id>P30 CA008748</funding_grant_id><funding_grant_id>K08CA245212</funding_grant_id><funding_grant_id>K08 CA245212</funding_grant_id><funding_grant_id>P30 CA08748</funding_grant_id><funding_grant_id>CI-124-23</funding_grant_id><pubmed_authors>Slotkin EK</pubmed_authors><pubmed_authors>Dickson MA</pubmed_authors><pubmed_authors>Richards AL</pubmed_authors><pubmed_authors>Antonescu CR</pubmed_authors><pubmed_authors>Keohan ML</pubmed_authors><pubmed_authors>Banks LB</pubmed_authors><pubmed_authors>Kelly CM</pubmed_authors><pubmed_authors>Chan JE</pubmed_authors><pubmed_authors>Tap WD</pubmed_authors><pubmed_authors>Adamson T</pubmed_authors><pubmed_authors>Movva S</pubmed_authors><pubmed_authors>Woo HJ</pubmed_authors><pubmed_authors>Avutu V</pubmed_authors><pubmed_authors>Singer S</pubmed_authors><pubmed_authors>Donoghue MT</pubmed_authors><pubmed_authors>Nacev BA</pubmed_authors><pubmed_authors>Chi P</pubmed_authors><pubmed_authors>Bradic M</pubmed_authors><pubmed_authors>Rosenbaum E</pubmed_authors><pubmed_authors>Gounder MM</pubmed_authors><pubmed_authors>Maki RG</pubmed_authors><pubmed_authors>D'Angelo SP</pubmed_authors></additional><is_claimable>false</is_claimable><name>High transposable element expression in sarcomas is associated with increased immune infiltrates and improved outcomes including after immunotherapy.</name><description>&lt;h4>Background&lt;/h4>Response to immune checkpoint inhibition (ICI) in sarcomas is overall low and heterogeneous. Understanding determinants of ICI outcomes may improve efficacy and patient selection. Thus, we investigated whether the expression of transposable elements (TEs), which are epigenetically silenced and can stimulate antitumor immunity, influence ICI outcomes and immune infiltrates in common sarcoma subtypes.&lt;h4>Methods&lt;/h4>We used transcriptomic data to assign immune enhanced versus immune depleted status to 67 pretreatment and on-treatment biopsies of sarcomas from patients treated on ICI trials, along with additional cohorts from The Cancer Genome Atlas (TCGA) and an independent ICI trial (SARC028). A machine learning technique (lasso-penalized logistic regression) controlled f</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Sep</publication><modification>2026-06-02T22:33:34.578Z</modification><creation>2026-05-28T03:06:27.629Z</creation></dates><accession>S-EPMC12414182</accession><cross_references><pubmed>40912740</pubmed><doi>10.1136/jitc-2025-012357</doi></cross_references></HashMap>