{"id":1530,"date":"2014-02-25T10:06:06","date_gmt":"2014-02-24T23:06:06","guid":{"rendered":"http:\/\/blog.panicola.com\/?p=1530"},"modified":"2014-02-25T10:06:06","modified_gmt":"2014-02-24T23:06:06","slug":"genomics-improves-cancer-treatment-response-by-21-months","status":"publish","type":"post","link":"https:\/\/blog.panicola.com\/?p=1530","title":{"rendered":"Genomics improves cancer treatment response by 21 months"},"content":{"rendered":"<ul>\n<li>COXEN (CO-eXpresssion gENe analysis), allowed the researchers to identify the heterogeneity and genetic signatures of tumours that responded to each drug.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>http:\/\/www.medicalobserver.com.au\/news\/lives-extended-by-genetic-algorithm<\/p>\n<h1>Lives extended by genetic algorithm<\/h1>\n<div><span style=\"color: #2b2b2b; line-height: 1.5;\"><a href=\"http:\/\/www.medicalobserver.com.au\/news\/lives-extended-by-genetic-algorithm#\">19th Feb 2014<\/a>\u00a0<\/span><a href=\"http:\/\/www.medicalobserver.com.au\/author\/1008\"><b>Sunalie Silva<\/b><\/a><\/div>\n<div>\nA GENETIC modelling algorithm that predicts patient response to three standard chemotherapy drugs used to treat ovarian cancer could extend patients\u2019 lives by 21 months.<\/p>\n<\/div>\n<div>\n<p>A retrospective study used data from an ovarian cancer registry to genetically profile over 3000 ovarian tumour samples from patients already on one of three common ovarian cancer drugs \u2013 paclitaxel, cyclophosphamide and topotecan \u2013 to discover differences between tumours that responded to treatment and tumours that didn\u2019t.<\/p>\n<p>The Canadian researchers said site-specific cancers have traditionally been considered to be homogenous, but increasingly, evidence is pointing to significant heterogeneity within the disease.<\/p>\n<p>They also noted that \u201cbecause it has been so difficult to predict which ovarian cancers will respond to each of the three available drugs, doctors have largely been forced to guess which will work best\u201d, which can lead to treatment failure.<br \/>\nThe model, called COXEN (CO-eXpresssion gENe analysis), allowed the researchers to identify the heterogeneity and genetic signatures of tumours that responded to each drug.<\/p>\n<p>They were also able to show that patients who had, by chance, been given the drug that the COXEN model would have picked for them lived 21 months longer than patients who had been initiated on a different drug.<\/p>\n<p>The researchers said their study shows that biomarker-based personalised chemotherapy selection could improve survival of patients with advanced ovarian cancer.<\/p>\n<p>While the model would need to be validated with a prospective clinical trial before use in a clinical setting, the authors said that COXEN led to similar results in patients with bladder cancer in a previous study.<\/p>\n<p>A prospective clinical trial of COXEN in bladder cancer is underway.<br \/>\n<em><br \/>\nPLOS One 2014; 5 February<\/em><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>COXEN (CO-eXpresssion gENe analysis), allowed the researchers to identify the heterogeneity and genetic signatures of tumours that responded to each drug. &nbsp; http:\/\/www.medicalobserver.com.au\/news\/lives-extended-by-genetic-algorithm Lives extended by genetic algorithm 19th Feb 2014\u00a0Sunalie Silva A GENETIC modelling algorithm that predicts patient response to three standard chemotherapy drugs used to treat ovarian cancer could extend patients\u2019 lives by &hellip; <a href=\"https:\/\/blog.panicola.com\/?p=1530\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Genomics improves cancer treatment response by 21 months<\/span> <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5,9,3],"tags":[],"class_list":["post-1530","post","type-post","status-publish","format-standard","hentry","category-data-saving-lives","category-healthcare","category-rapid-learning-health-systems"],"_links":{"self":[{"href":"https:\/\/blog.panicola.com\/index.php?rest_route=\/wp\/v2\/posts\/1530","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.panicola.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.panicola.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.panicola.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.panicola.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1530"}],"version-history":[{"count":1,"href":"https:\/\/blog.panicola.com\/index.php?rest_route=\/wp\/v2\/posts\/1530\/revisions"}],"predecessor-version":[{"id":1531,"href":"https:\/\/blog.panicola.com\/index.php?rest_route=\/wp\/v2\/posts\/1530\/revisions\/1531"}],"wp:attachment":[{"href":"https:\/\/blog.panicola.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1530"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.panicola.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1530"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.panicola.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1530"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}