Expression signature-guided functional genomics for gene discovery in non-small cell lung cancer

Placeholder Show Content

Abstract/Contents

Abstract
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.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2013
Issuance monographic
Language English

Creators/Contributors

Associated with Chen, Ronald
Associated with Stanford University, Program in Cancer Biology.
Primary advisor Sweet-Cordero, Eric
Thesis advisor Sweet-Cordero, Eric
Thesis advisor Butte, Atul J
Thesis advisor Giaccia, Amato J
Thesis advisor Pollack, Jonathan D
Advisor Butte, Atul J
Advisor Giaccia, Amato J
Advisor Pollack, Jonathan D

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Ronald Chen.
Note Submitted to the Program in Cancer Biology.
Thesis Thesis (Ph.D.)--Stanford University, 2013.
Location electronic resource

Access conditions

Copyright
© 2013 by Ronald Chen
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

Also listed in

View in SearchWorks

Loading usage metrics...