Article
Novel algorithmic approach predicts tumor mutation load and correlates with immunotherapy clinical outcomes using a defined gene mutation set.
BMC medicine - 25 Oct 2016
Roszik Jason, Haydu Lauren E, Hess Kenneth R, Oba Junna, Joon Aron Y, Siroy Alan E, Karpinets Tatiana V, Stingo Francesco C, Baladandayuthapani Veera, Tetzlaff Michael T, Wargo Jennifer A, Chen Ken, Forget Marie-Andrée, Haymaker Cara L, Chen Jie Qing, Meric-Bernstam Funda, Eterovic Agda K, Shaw Kenna R, Mills Gordon B, Gershenwald Jeffrey E, Radvanyi Laszlo G, Hwu Patrick, Futreal P Andrew, Gibbons Don L, Lazar Alexander J, Bernatchez Chantale, Davies Michael A, Woodman Scott E
Abstract excerpt
BACKGROUND: While clinical outcomes following immunotherapy have shown an association with tumor mutation load using whole exome sequencing (WES), its clinical applicability is currently limited by cost and bioinformatics requirements. METHODS: We developed a method to accurately derive the predicted total mutation load (PTML) within individual tumors from a small set of genes that can be used in clinical next...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.