Expression signature-guided functional genomics for gene discovery in non-small cell lung cancer - Chen, Ronald; Sweet-Cordero, Eric; Butte, Atul J; Giaccia, Amato J; Pollack, Jonathan D; Stanford University, Program in Cancer Biology (2013)
Lung cancer is the deadliest cancer worldwide. Survival rates for the most common histological subtype, non-small cell lung cancer (NSCLC), have remained 15% over the past several decades. New molecular understandings and treatments are required to advance NSCLC patient care. Here we use several gene expression-based methods to uncover novel dependencies within NSCLC. First, we use cross-species functional genomics to identify TCEB1 (Elongin C) as a novel synthetic lethal partner with mutant KRAS. Secondly, we use gene expression meta-analysis to identify PTK7 as a survival gene in a subset of lung adenocarcinoma, the major type of NSCLC. Our work demonstrates the utility of analyzing gene expression data sets to expose functionally relevant genes within NSCLC, which may lead to effective therapies.
Submitted to the Program in Cancer Biology.
Thesis (Ph.D.)--Stanford University, 2013.
Rights: (c) Copyright 2013 by Ronald Chen
Rights: This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
Keywords: theses