Lung squamous cell carcinoma mRNA expression subtypes are reproducible, clinically important, and correspond to normal cell types.
Lung squamous cell carcinoma mRNA expression subtypes are reproducible, clinically important, and correspond to normal cell types.
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DOI:
10.1158/1078-0432.ccr-10-0199
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发表时间:
2010-10-01
期刊:
影响因子:
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通讯作者:
Hayes DN
中科院分区:
文献类型:
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作者:
Wilkerson MD;Yin X;Hoadley KA;Liu Y;Hayward MC;Cabanski CR;Muldrew K;Miller CR;Randell SH;Socinski MA;Parsons AM;Funkhouser WK;Lee CB;Roberts PJ;Thorne L;Bernard PS;Perou CM;Hayes DN
Lung squamous cell carcinoma (SCC) is clinically and genetically heterogeneous and current diagnostic practices do not adequately substratify this heterogeneity. A robust, biologically-based SCC subclassification may describe this variability and lead to more precise patient prognosis and management. We sought to determine if SCC mRNA expression subtypes exist, are reproducible across multiple patient cohorts, and are clinically relevant. Subtypes were detected by unsupervised consensus clustering in five published discovery cohorts of mRNA microarrays, totaling 382 SCC patients. An independent validation cohort of 56 SCC patients was collected and assayed by microarrays. A nearest-centroid subtype predictor was built using discovery cohorts. Validation cohort subtypes were predicted and evaluated for confirmation. Subtype survival outcome, clinical covariates, and biological processes were compared by statistical and bioinformatic methods. Four lung SCC mRNA expression subtypes, named primitive, classical, secretory, and basal, were detected and independently validated (P < 0.001). The primitive subtype had the worst survival outcome (P < 0.05) and is an independent predictor of survival (P < 0.05). Tumor differentiation and patient sex were associated with subtype. The subtypes’ expression profiles contained distinct biological processes (primitive – proliferation, classical – xeniobiotics metabolism, secretory – immune response, basal – cell adhesion) and suggested distinct pharmacologic interventions. Comparison to lung model systems revealed distinct subtype to cell type correspondence. Lung SCC consists of four mRNA expression subtypes that have different survival outcomes, patient populations, and biological processes. The subtypes stratify patients for more precise prognosis and targeted research.