Journal article
A genetic expression profile associated with oral cancer identifies a group of patients at high risk of poor survival
Clinical cancer research, Vol.15(4), pp.1353-1361
02/15/2009
DOI: 10.1158/1078-0432.CCR-08-1816
PMCID: PMC2683360
PMID: 19228736
Abstract
To determine if gene expression signature of invasive oral squamous cell carcinoma (OSCC) can subclassify OSCC based on survival.
We analyzed the expression of 131 genes in 119 OSCC, 35 normal, and 17 dysplastic mucosa to identify cluster-defined subgroups. Multivariate Cox regression was used to estimate the association between gene expression and survival. By stepwise Cox regression, the top predictive models of OSCC-specific survival were determined and compared by receiver operating characteristic analysis.
The 3-year overall mean+/-SE survival for a cluster of 45 OSCC patients was 38.7+/-0.09% compared with 69.1+/-0.08% for the remaining patients. Multivariate analysis adjusted for age, sex, and stage showed that the 45 OSCC patient cluster had worse overall and OSCC-specific survival (hazard ratio, 3.31; 95% confidence interval, 1.66-6.58 and hazard ratio, 5.43; 95% confidence interval, 2.32-12.73, respectively). Stepwise Cox regression on the 131 probe sets revealed that a model with a term for LAMC2 (laminin gamma2) gene expression best identified patients with worst OSCC-specific survival. We fit a Cox model with a term for a principal component analysis-derived risk score marker and two other models that combined stage with either LAMC2 or PCA. The area under the curve for models combining stage with either LAMC2 or PCA was 0.80 or 0.82, respectively, compared with 0.70 for stage alone (P=0.013 and 0.008, respectively).
Gene expression and stage combined predict survival of OSCC patients better than stage alone.
Details
- Title: Subtitle
- A genetic expression profile associated with oral cancer identifies a group of patients at high risk of poor survival
- Creators
- Eduardo Méndez - VA Puget Sound Health Care SystemJohn R HouckDavid R DoodyWenhong Fan - Fred Hutch Cancer CenterPawadee LohavanichbutrTessa C Rue - Cancer Research And BiostatisticsBevan Yueh - University of MinnesotaNeal D Futran - Palmetto Hematology OncologyMelissa P UptonD Gregory Farwell - University of California, DavisPatrick J Heagerty - Biostatistical Consulting (United States)Lue Ping Zhao - Fred Hutch Cancer CenterStephen M Schwartz - University of WashingtonChu Chen - University of Washington
- Resource Type
- Journal article
- Publication Details
- Clinical cancer research, Vol.15(4), pp.1353-1361
- DOI
- 10.1158/1078-0432.CCR-08-1816
- PMID
- 19228736
- PMCID
- PMC2683360
- NLM abbreviation
- Clin Cancer Res
- ISSN
- 1078-0432
- eISSN
- 1557-3265
- Grant note
- R01 CA095419 / NCI NIH HHS 1KL2RR025015 / NCRR NIH HHS KL2 RR025015 / NCRR NIH HHS UL1 TR000423 / NCATS NIH HHS R01CA095419 / NCI NIH HHS
- Language
- English
- Date published
- 02/15/2009
- Academic Unit
- Otolaryngology
- Record Identifier
- 9984966849102771
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