Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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A 13-gene signature prognostic of HPV-negative OSCC: discovery and external validation


ABSTRACT: OSCC is associated with substantial mortality and morbidity. In this study, we built on our previous molecular work to identify and validate a prognostic 13-gene signature that showed a higher ability than tumor stage in predicting survival for patients with HPV-negative oral squamous cell carcinoma (OSCC). We previously reported 131 genes to be associated with survival in OSCC patients. In this study, we applied L1/L2-penalized Cox regression models to the Affymetrix array data from 97 HPV-negative OSCC patients on the 131 gene to identify a model for prediction of OSCC-specific survival. We then tested the model in an independent dataset and compared to tumor stage.

ORGANISM(S): Homo sapiens

SUBMITTER: Chu Chen 

PROVIDER: E-GEOD-41613 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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A 13-gene signature prognostic of HPV-negative OSCC: discovery and external validation.

Lohavanichbutr Pawadee P   Méndez Eduardo E   Holsinger F Christopher FC   Rue Tessa C TC   Zhang Yuzheng Y   Houck John J   Upton Melissa P MP   Futran Neal N   Schwartz Stephen M SM   Wang Pei P   Chen Chu C  

Clinical cancer research : an official journal of the American Association for Cancer Research 20130114 5


<h4>Purpose</h4>To identify a prognostic gene signature for patients with human papilloma virus (HPV)-negative oral squamous cell carcinomas (OSCC).<h4>Experimental design</h4>Two gene expression datasets were used: a training dataset from the Fred Hutchinson Cancer Research Center (FHCRC, Seattle, WA; n = 97) and a validation dataset from the MD Anderson Cancer Center (MDACC, Houston, TX; n = 71). We applied L1/L2-penalized Cox regression models to the FHCRC data on the 131-gene signature previ  ...[more]

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