<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Hollern DP</submitter><funding>Breast Cancer Research Foundation</funding><funding>Corsorcio Centro de Investigación Biomédica en Red</funding><funding>NCI</funding><funding>Susan G. Komen</funding><funding>NIEHS NIH HHS</funding><funding>NCI NIH HHS</funding><funding>CIHR</funding><pagination>1191-1206.e21</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6911685</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>179(5)</volume><pubmed_abstract>This study identifies mechanisms mediating responses to immune checkpoint inhibitors using mouse models of triple-negative breast cancer. By creating new mammary tumor models, we find that tumor mutation burden and specific immune cells are associated with response. Further, we developed a rich resource of single-cell RNA-seq and bulk mRNA-seq data of immunotherapy-treated and non-treated tumors from sensitive and resistant murine models. Using this, we uncover that immune checkpoint therapy induces T follicular helper cell activation of B cells to facilitate the anti-tumor response in these models. We also show that B cell activation of T cells and the generation of antibody are key to immunotherapy response and propose a new biomarker for immune checkpoint therapy. In total, this work pr</pubmed_abstract><journal>Cell</journal><pubmed_title>B Cells and T Follicular Helper Cells Mediate Response to Checkpoint Inhibitors in High Mutation Burden Mouse Models of Breast Cancer.</pubmed_title><pmcid>PMC6911685</pmcid><funding_grant_id>RO1-CA195740</funding_grant_id><funding_grant_id>P50 CA058223</funding_grant_id><funding_grant_id>R01 CA195740</funding_grant_id><funding_grant_id>R01 CA148761</funding_grant_id><funding_grant_id>P50-CA58223</funding_grant_id><funding_grant_id>PDF17479425</funding_grant_id><funding_grant_id>CA210427</funding_grant_id><funding_grant_id>P30 ES010126</funding_grant_id><funding_grant_id>SAC-160074</funding_grant_id><funding_grant_id>T32 CA071341</funding_grant_id><funding_grant_id>RO1-CA148761</funding_grant_id><pubmed_authors>Ford J</pubmed_authors><pubmed_authors>Xu N</pubmed_authors><pubmed_authors>Glodowski C</pubmed_authors><pubmed_authors>Mott KR</pubmed_authors><pubmed_authors>Vincent BG</pubmed_authors><pubmed_authors>Parker JS</pubmed_authors><pubmed_authors>Serody JS</pubmed_authors><pubmed_authors>Perou CM</pubmed_authors><pubmed_authors>Garcia-Recio S</pubmed_authors><pubmed_authors>Liu S</pubmed_authors><pubmed_authors>Marron D</pubmed_authors><pubmed_authors>Garay JP</pubmed_authors><pubmed_authors>Hollern DP</pubmed_authors><pubmed_authors>Thennavan A</pubmed_authors><pubmed_authors>Carey-Ewend K</pubmed_authors><pubmed_authors>He X</pubmed_authors><pubmed_authors>Martin M</pubmed_authors><pubmed_authors>Vick SC</pubmed_authors></additional><is_claimable>false</is_claimable><name>B Cells and T Follicular Helper Cells Mediate Response to Checkpoint Inhibitors in High Mutation Burden Mouse Models of Breast Cancer.</name><description>This study identifies mechanisms mediating responses to immune checkpoint inhibitors using mouse models of triple-negative breast cancer. By creating new mammary tumor models, we find that tumor mutation burden and specific immune cells are associated with response. Further, we developed a rich resource of single-cell RNA-seq and bulk mRNA-seq data of immunotherapy-treated and non-treated tumors from sensitive and resistant murine models. Using this, we uncover that immune checkpoint therapy induces T follicular helper cell activation of B cells to facilitate the anti-tumor response in these models. We also show that B cell activation of T cells and the generation of antibody are key to immunotherapy response and propose a new biomarker for immune checkpoint therapy. In total, this work pr</description><dates><release>2019-01-01T00:00:00Z</release><publication>2019 Nov</publication><modification>2026-05-04T19:42:47.147Z</modification><creation>2020-11-19T16:59:03Z</creation></dates><accession>S-EPMC6911685</accession><cross_references><pubmed>31730857</pubmed><doi>10.1016/j.cell.2019.10.028</doi></cross_references></HashMap>