{"id":3362,"date":"2020-07-01T15:17:08","date_gmt":"2020-07-01T19:17:08","guid":{"rendered":"https:\/\/www.med.unc.edu\/genomics\/?p=3362"},"modified":"2020-08-24T10:48:48","modified_gmt":"2020-08-24T14:48:48","slug":"scientific-highlight-mammary-tumor-models","status":"publish","type":"post","link":"https:\/\/www.med.unc.edu\/genomics\/scientific-highlight-mammary-tumor-models\/","title":{"rendered":"Scientific Highlight \u2013 Mammary Tumor Models"},"content":{"rendered":"<p><img decoding=\"async\" src=\"https:\/\/med.sites.unc.edu\/ivy\/files\/2020\/06\/whats-new-mammary.png\" width=\"400\"><\/p>\n<p>By creating new mammary tumor models, we find that tumor mutation burden and specific immune cells are associated with response.<\/p>\n<p>The core generated both single cell and bulk RNA-seq gene expression data to help this team of Lineberger researchers identify mechanisms mediating responses to immune checkpoint inhibitors using mouse models of triple-negative breast cancer.<\/p>\n<p><strong><em>Hollern et al. Cell. Volume 179, Issue 5, 14 November 2019, Pages 1191-1206.e21<\/em><\/strong><\/p>\n<p>Immune checkpoint inhibitors (ICIs) have improved patient outcomes in human cancers. In many solid tumors, tumor mutation burden (TMB) and, as a result of high TMB, neoantigen load are biomarkers for therapeutic benefit. In triple-negative breast cancer (TNBC), immune cells identified by pathology or by genomic signatures indicate a favorable prognosis and chemotherapy efficacy is more likely in tumors with immune infiltrates. In this project, the core helped 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, the research team uncover that immune checkpoint therapy induces T follicular helper cell activation of B cells to facilitate the anti-tumor response in these models. They also showed 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. This work presents resources of new preclinical models of breast cancer with large mRNA-seq and single-cell RNA-seq datasets annotated for sensitivity to therapy and uncovers new components of response to immune checkpoint inhibitors.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>By creating new mammary tumor models, we find that tumor mutation burden and specific immune cells are associated with response. The core generated both single cell and bulk RNA-seq gene expression data to help this team of Lineberger researchers identify mechanisms mediating responses to immune checkpoint inhibitors using mouse models of triple-negative breast cancer. Hollern &hellip; <a href=\"https:\/\/www.med.unc.edu\/genomics\/scientific-highlight-mammary-tumor-models\/\" aria-label=\"Read more about Scientific Highlight \u2013 Mammary Tumor Models\">Read more<\/a><\/p>\n","protected":false},"author":64010,"featured_media":3363,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"layout":"","cellInformation":"","apiCallInformation":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[11],"tags":[],"class_list":["post-3362","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-whats-new","odd"],"acf":[],"featured_image":"https:\/\/www.med.unc.edu\/genomics\/wp-content\/uploads\/sites\/708\/2020\/07\/whats-new-mammary.png","featured_image_medium":"https:\/\/www.med.unc.edu\/genomics\/wp-content\/uploads\/sites\/708\/2020\/07\/whats-new-mammary-300x300.png","featured_image_medium_large":"https:\/\/www.med.unc.edu\/genomics\/wp-content\/uploads\/sites\/708\/2020\/07\/whats-new-mammary-768x768.png","featured_image_large":"https:\/\/www.med.unc.edu\/genomics\/wp-content\/uploads\/sites\/708\/2020\/07\/whats-new-mammary.png","featured_image_thumbnail":"https:\/\/www.med.unc.edu\/genomics\/wp-content\/uploads\/sites\/708\/2020\/07\/whats-new-mammary-150x150.png","featured_image_alt":"","category_details":[{"name":"What's New","link":"https:\/\/www.med.unc.edu\/genomics\/category\/whats-new\/"}],"tag_details":[],"_links_to":[],"_links_to_target":[],"_links":{"self":[{"href":"https:\/\/www.med.unc.edu\/genomics\/wp-json\/wp\/v2\/posts\/3362","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.med.unc.edu\/genomics\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.med.unc.edu\/genomics\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.med.unc.edu\/genomics\/wp-json\/wp\/v2\/users\/64010"}],"replies":[{"embeddable":true,"href":"https:\/\/www.med.unc.edu\/genomics\/wp-json\/wp\/v2\/comments?post=3362"}],"version-history":[{"count":0,"href":"https:\/\/www.med.unc.edu\/genomics\/wp-json\/wp\/v2\/posts\/3362\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.med.unc.edu\/genomics\/wp-json\/wp\/v2\/media\/3363"}],"wp:attachment":[{"href":"https:\/\/www.med.unc.edu\/genomics\/wp-json\/wp\/v2\/media?parent=3362"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.med.unc.edu\/genomics\/wp-json\/wp\/v2\/categories?post=3362"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.med.unc.edu\/genomics\/wp-json\/wp\/v2\/tags?post=3362"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}