{"id":4792,"date":"2020-12-10T16:03:27","date_gmt":"2020-12-10T16:03:27","guid":{"rendered":"http:\/\/www.cytognomix.com\/?p=4792"},"modified":"2020-12-18T15:34:12","modified_gmt":"2020-12-18T15:34:12","slug":"dec-10-2020-new-article-on-chemotherapy-response-prediction","status":"publish","type":"post","link":"https:\/\/www.cytognomix.com\/?p=4792","title":{"rendered":"Dec. 10, 2020. New article on chemotherapy response prediction"},"content":{"rendered":"<div class=\"css-1dbjc4n\">\n<div class=\"css-1dbjc4n r-156q2ks\">\n<div id=\"tweet-text\" class=\"css-901oao r-18jsvk2 r-1qd0xha r-1blvdjr r-16dba41 r-ad9z0x r-bcqeeo r-bnwqim r-qvutc0\" dir=\"auto\" lang=\"en\"><span class=\"css-901oao css-16my406 r-1qd0xha r-ad9z0x r-bcqeeo r-qvutc0\">We have published:<\/span><\/div>\n<div dir=\"auto\" lang=\"en\"><\/div>\n<div class=\"css-901oao r-18jsvk2 r-1qd0xha r-1blvdjr r-16dba41 r-ad9z0x r-bcqeeo r-bnwqim r-qvutc0\" dir=\"auto\" lang=\"en\" style=\"text-align: center;\"><strong><span class=\"css-901oao css-16my406 r-1qd0xha r-ad9z0x r-bcqeeo r-qvutc0\"><span class=\"css-901oao css-16my406 r-1qd0xha r-ad9z0x r-bcqeeo r-qvutc0\">Pathway\u2010extended gene expression signatures integrate novel biomarkers that improve predictions of patient responses to kinase inhibitors.<\/span><\/span><\/strong><\/p>\n<div class=\"accordion-tabbed__tab-mobile  accordion__closed\">Ashis J. Bagchee\u2010Clark , Eliseos J. Mucaki, Tyson Whitehead, and Peter K. Rogan<\/div>\n<div class=\"accordion-tabbed__tab-mobile  accordion__closed\"><\/div>\n<p><span class=\"css-901oao css-16my406 r-1qd0xha r-ad9z0x r-bcqeeo r-qvutc0\">MedComm (Wiley) 1(3): 311-327, 2020.\u00a0 (https:\/\/doi.org\/10.1002\/mco2.46)<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"css-1dbjc4n\">\n<div id=\"tweet-rich-content-label\" class=\"css-1dbjc4n\" aria-labelledby=\"quote-tweet-label tweet-card-label\">\n<div class=\"css-1dbjc4n r-156q2ks\">\n<div id=\"tweet-card-label\" class=\"css-1dbjc4n r-1bs4hfb r-1867qdf r-1phboty r-rs99b7 r-18u37iz r-1ny4l3l r-1udh08x r-o7ynqc r-6416eg\" data-testid=\"card.wrapper\" aria-labelledby=\"card-media-label card-detail-label\">\n<div class=\"css-1dbjc4n r-1adg3ll r-1udh08x\">Abstract:<\/div>\n<div>Cancer chemotherapy responses have been related to multiple pharmacogenetic biomarkers, often for the same drug. This study utilizes machine learning to derive multi\u2010gene expression signatures that predict individual patient responses to specific tyrosine kinase inhibitors, including erlotinib, gefitinib, sorafenib, sunitinib, lapatinib and imatinib. Support vector machine (SVM) learning was used to train mathematical models that distinguished sensitivity from resistance to these drugs using a novel systems biology\u2010based approach. This began with expression of genes previously implicated in specific drug responses, then expanded to evaluate genes whose products were related through biochemical pathways and interactions. Optimal pathway\u2010extended SVMs predicted responses in patients at accuracies of 70% (imatinib), 71% (lapatinib), 83% (sunitinib), 83% (erlotinib), 88% (sorafenib) and 91% (gefitinib). These best performing pathway\u2010extended models demonstrated improved balance predicting both sensitive and resistant patient categories, with many of these genes having a known role in cancer aetiology. Ensemble machine learning\u2010based averaging of multiple pathway\u2010extended models derived for an individual drug increased accuracy to\u00a0&gt;70% for erlotinib, gefitinib, lapatinib and sorafenib. Through incorporation of novel cancer biomarkers, machine learning\u2010based pathway\u2010extended signatures display strong efficacy predicting both sensitive and resistant patient responses to chemotherapy.<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div><\/div>\n<div id=\"tweet-rich-content-label\" class=\"css-1dbjc4n\" aria-labelledby=\"quote-tweet-label tweet-card-label\">\n<div class=\"css-1dbjc4n r-156q2ks\">\n<div id=\"tweet-card-label\" class=\"css-1dbjc4n r-1bs4hfb r-1867qdf r-1phboty r-rs99b7 r-18u37iz r-1ny4l3l r-1udh08x r-o7ynqc r-6416eg\" data-testid=\"card.wrapper\" aria-labelledby=\"card-media-label card-detail-label\">\n<div><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>We have published: Pathway\u2010extended gene expression signatures integrate novel biomarkers that improve predictions of patient responses to kinase inhibitors. Ashis J. Bagchee\u2010Clark , Eliseos J. Mucaki, Tyson Whitehead, and Peter K. Rogan MedComm (Wiley) 1(3): 311-327, 2020.\u00a0 (https:\/\/doi.org\/10.1002\/mco2.46) Abstract: Cancer chemotherapy responses have been related to multiple pharmacogenetic biomarkers, often for the same drug. This [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[6],"tags":[183,184],"_links":{"self":[{"href":"https:\/\/www.cytognomix.com\/index.php?rest_route=\/wp\/v2\/posts\/4792"}],"collection":[{"href":"https:\/\/www.cytognomix.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.cytognomix.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.cytognomix.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.cytognomix.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4792"}],"version-history":[{"count":8,"href":"https:\/\/www.cytognomix.com\/index.php?rest_route=\/wp\/v2\/posts\/4792\/revisions"}],"predecessor-version":[{"id":4804,"href":"https:\/\/www.cytognomix.com\/index.php?rest_route=\/wp\/v2\/posts\/4792\/revisions\/4804"}],"wp:attachment":[{"href":"https:\/\/www.cytognomix.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4792"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.cytognomix.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4792"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.cytognomix.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4792"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}