{"id":376,"date":"2020-12-07T17:36:12","date_gmt":"2020-12-07T17:36:12","guid":{"rendered":"https:\/\/labs.icahn.mssm.edu\/pei-wang-lab\/?p=376"},"modified":"2020-12-07T17:36:12","modified_gmt":"2020-12-07T17:36:12","slug":"proteogenomic-analysis-provides-new-insights-into-pediatric-brain-tumors","status":"publish","type":"post","link":"https:\/\/labs.icahn.mssm.edu\/pei-wang-lab\/proteogenomic-analysis-provides-new-insights-into-pediatric-brain-tumors\/","title":{"rendered":"Proteogenomic analysis provides new insights into pediatric brain tumors"},"content":{"rendered":"<p>In collaboration with the Clinical Proteomic Tumor Analysis Consortium (CPTAC) and Children\u2019s Brain Tumor Tissue Consortium (CBTTC), we have published the first large-scale, comprehensive proteogenomic analysis of 218 tumors across seven histologic types of childhood brain cancer.<\/p>\n<p class=\"article-header__title\"><strong>Integrated Proteogenomic Characterization across Major Histological Types of Pediatric Brain Cancer<br \/>\n<\/strong>Petralia et al. <em>Cell<\/em>. Dec 2020<\/p>\n<p><span style=\"color: #4d86f7\"><strong>Highlights<\/strong><\/span><br \/>\n\u2022 Proteogenomics characterization of 218 pediatric brain tumor samples of 7 histologies<br \/>\n\u2022 Proteomic clusters reveal actionable biological features spanning histological boundaries<br \/>\n\u2022 Proteomics reveal downstream effects of DNA alterations not evident in transcriptomics<br \/>\n\u2022 Kinase activity analyses provide insights into pathway activities and druggable targets<\/p>\n<div class=\"wp-caption alignleft\" style=\"width: 1599px\"><a href=\"https:\/\/www.cell.com\/cell\/fulltext\/S0092-8674(20)31451-3\"><img loading=\"lazy\" decoding=\"async\" class=\"size-large\" style=\"border: solid 1px black\" src=\"https:\/\/labs.icahn.mssm.edu\/pei-wang-lab\/wp-content\/uploads\/sites\/226\/2020\/12\/cell_pbt.png\" width=\"1599\" height=\"2083\" \/><\/a><p class=\"wp-caption-text\"><a href=\"https:\/\/www.cell.com\/cell\/fulltext\/S0092-8674(20)31451-3\">Read the full text at Cell<\/a><\/p><\/div>\n<p>The pediatric brain tumor data can be explored as interactive heatmap with our ProTrack web tool at <a href=\"http:\/\/pbt.cptac-data-view.org\/\">http:\/\/pbt.cptac-data-view.org\/<\/a><\/p>\n<hr \/>\n<p><strong>Related press:<\/strong><br \/>\n<a href=\"https:\/\/www.eurekalert.org\/pub_releases\/2020-11\/tmsh-flp111820.php\">First large-scale proteogenomic analysis offers insights into pediatric brain tumors<\/a><\/p>\n<blockquote><p>This study is the first comprehensive survey of genomics (which aims to characterize DNA sequence alterations in a sample), transcriptomics (which aims to quantify copies of RNAs), global proteomics (which aims to identify and quantify proteins), and phosphoproteomics (which quantifies active proteins) across a large cohort of 218 tumor samples representing seven distinct types of brain tumors.<\/p><\/blockquote>\n<p><a href=\"https:\/\/www.statnews.com\/2020\/11\/25\/study-new-clues-treating-brain-cancer-children\/\">Study offers new clues for treating brain cancer in children<\/a><\/p>\n<blockquote><p>\u201cAll in all, this study is fantastic news for the children with brain tumors and their families,\u201d said the University of Alabama\u2019s Van Meir. \u201cSome of the findings are immediately applicable in the clinic, and others reveal new directions for future therapy development.\u201d<\/p><\/blockquote>\n","protected":false},"excerpt":{"rendered":"<p>In collaboration with the Clinical Proteomic Tumor Analysis Consortium (CPTAC) and Children\u2019s Brain Tumor Tissue Consortium (CBTTC), we have published the first large-scale, comprehensive proteogenomic analysis of 218 tumors across seven histologic types of childhood brain cancer. Integrated Proteogenomic Characterization across Major Histological Types of Pediatric Brain Cancer Petralia et al. Cell. Dec 2020 Highlights [&hellip;]<\/p>\n","protected":false},"author":146,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[],"class_list":["post-376","post","type-post","status-publish","format-standard","hentry","category-investigator"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/labs.icahn.mssm.edu\/pei-wang-lab\/wp-json\/wp\/v2\/posts\/376","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/labs.icahn.mssm.edu\/pei-wang-lab\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/labs.icahn.mssm.edu\/pei-wang-lab\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/pei-wang-lab\/wp-json\/wp\/v2\/users\/146"}],"replies":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/pei-wang-lab\/wp-json\/wp\/v2\/comments?post=376"}],"version-history":[{"count":1,"href":"https:\/\/labs.icahn.mssm.edu\/pei-wang-lab\/wp-json\/wp\/v2\/posts\/376\/revisions"}],"predecessor-version":[{"id":377,"href":"https:\/\/labs.icahn.mssm.edu\/pei-wang-lab\/wp-json\/wp\/v2\/posts\/376\/revisions\/377"}],"wp:attachment":[{"href":"https:\/\/labs.icahn.mssm.edu\/pei-wang-lab\/wp-json\/wp\/v2\/media?parent=376"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/pei-wang-lab\/wp-json\/wp\/v2\/categories?post=376"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/pei-wang-lab\/wp-json\/wp\/v2\/tags?post=376"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}