Purpose: New prognostic markers to guide treatment decisions in early stage non-small cell lung cancer are necessary to improve patient outcomes. In this report, we assess the utility of a predefined mRNA expression signature of cell-cycle progression genes (CCP score) to define 5-year risk of lung cancer-related death in patients with early stage lung adenocarcinoma. Experimental Design: A CCP score was calculated from the mRNA expression levels of 31 proliferation genes in stage I and stage II tumor samples from two public microarray datasets [Director's Consortium (DC) and GSE31210]. The same gene set was tested by quantitative PCR in 381 formalin-fixed paraffin-embedded (FFPE) primary tumors. Association of the CCP score with outcome was assessed by Cox proportional hazards analysis. Results: In univariate analysis, the CCP score was a strong predictor of cancer-specific survival in both the Director's Consortium cohort (P = 0.00014; HR = 2.08;95% CI, 1.43-3.02) and GSE31210 (P = 0.0010; HR = 2.25;95% CI, 1.42-3.56). In multivariate analysis, the CCP score remained the dominant prognostic marker in the presence of clinical variables (P = 0.0022; HR = 2.02;95% CI, 1.29-3.17 in Director's Consortium, P= 0.0026; HR = 2.16;95%CI, 1.32-3.53 in GSE31210). On a quantitative PCR platform, the CCP score maintained highly significant prognostic value in FFPE-derived mRNA from clinical samples in both univariate (P = 0.00033; HR = 2.10;95% CI, 1.39-3.17) and multivariate analyses (P= 0.0071; HR = 1.92;95% CI, 1.18-3.10). Conclusions: The CCP score is a significant predictor of lung cancer death in early stage lung adenocarcinoma treated with surgery and maybe a valuable tool in selecting patients for adjuvant treatment.
Validation of a proliferation-based expression signature as prognostic marker in early stage lung adenocarcinoma / I.I. Wistuba, C. Behrens, F. Lombardi, S. Wagner, J. Fujimoto, M.G. Raso, L. Spaggiari, D. Galetta, R. Riley, E. Hughes, J. Reid, Z. Sangale, S.G. Swisher, N. Kalhor, C.A. Moran, A. Gutin, J.S. Lanchbury, M. Barberis, E.S. Kim. - In: CLINICAL CANCER RESEARCH. - ISSN 1078-0432. - 19:22(2013 Nov 15), pp. 6261-6271. [10.1158/1078-0432.CCR-13-0596]
Validation of a proliferation-based expression signature as prognostic marker in early stage lung adenocarcinoma
L. Spaggiari;D. Galetta;
2013
Abstract
Purpose: New prognostic markers to guide treatment decisions in early stage non-small cell lung cancer are necessary to improve patient outcomes. In this report, we assess the utility of a predefined mRNA expression signature of cell-cycle progression genes (CCP score) to define 5-year risk of lung cancer-related death in patients with early stage lung adenocarcinoma. Experimental Design: A CCP score was calculated from the mRNA expression levels of 31 proliferation genes in stage I and stage II tumor samples from two public microarray datasets [Director's Consortium (DC) and GSE31210]. The same gene set was tested by quantitative PCR in 381 formalin-fixed paraffin-embedded (FFPE) primary tumors. Association of the CCP score with outcome was assessed by Cox proportional hazards analysis. Results: In univariate analysis, the CCP score was a strong predictor of cancer-specific survival in both the Director's Consortium cohort (P = 0.00014; HR = 2.08;95% CI, 1.43-3.02) and GSE31210 (P = 0.0010; HR = 2.25;95% CI, 1.42-3.56). In multivariate analysis, the CCP score remained the dominant prognostic marker in the presence of clinical variables (P = 0.0022; HR = 2.02;95% CI, 1.29-3.17 in Director's Consortium, P= 0.0026; HR = 2.16;95%CI, 1.32-3.53 in GSE31210). On a quantitative PCR platform, the CCP score maintained highly significant prognostic value in FFPE-derived mRNA from clinical samples in both univariate (P = 0.00033; HR = 2.10;95% CI, 1.39-3.17) and multivariate analyses (P= 0.0071; HR = 1.92;95% CI, 1.18-3.10). Conclusions: The CCP score is a significant predictor of lung cancer death in early stage lung adenocarcinoma treated with surgery and maybe a valuable tool in selecting patients for adjuvant treatment.| File | Dimensione | Formato | |
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