Polymorphisms in the CASPASE Genes and Survival in Patients With Early-Stage Non–Small-Cell Lung Cancer

This study was conducted to determine the impact of potentially functional polymorphisms in the CASPASE (CASP) genes on the survival of early-stage non-small-cell lung cancer (NSCLC) patients. Four hundred eleven consecutive patients with surgically resected NSCLC were enrolled. Nine potentially fun...

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Veröffentlicht in:Journal of clinical oncology 2009-12, Vol.27 (34), p.5823-5829
Hauptverfasser: SEUNG SOO YOO, JIN EUN CHOI, KIM, In-San, JHEON, Sanghoon, JAE YONG PARK, LEE, Won-Kee, CHOI, Yi-Young, KAM, Sin, MIN JUNG KIM, JEON, Hyo-Sung, LEE, Eung-Bae, DONG SUN KIM, LEE, Myung-Hoon
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Sprache:eng
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Zusammenfassung:This study was conducted to determine the impact of potentially functional polymorphisms in the CASPASE (CASP) genes on the survival of early-stage non-small-cell lung cancer (NSCLC) patients. Four hundred eleven consecutive patients with surgically resected NSCLC were enrolled. Nine potentially functional polymorphisms in the CASP3, CASP7, CASP8, CASP9, and CASP10 genes were investigated. The genotype and haplotype associations with overall survival (OS) and disease-free survival (DFS) were analyzed. Patients with the rs2227310 GG genotype had a significantly decreased OS and DFS compared with patients with the CC + CG genotype (adjusted hazard ratio [aHR] for OS, 1.67; 95% CI, 1.19 to 2.35; P = .003; aHR for DFS, 1.62; 95% CI, 1.19 to 2.22; P = .002). The rs4645981C>T genotype also had a significant effect on OS and DFS (under a recessive model; aHR for OS, 2.00; 95% CI, 1.04 to 3.85; P = .04; aHR for DFS, 2.76; 95% CI, 1.58 to 4.80; P = .0003). When the rs2227310 and rs4645981 genotypes were combined, patients with one or two bad genotypes had worse OS and DFS compared with those who had zero bad genotypes (aHR for OS, 1.75; 95% CI, 1.25 to 2.45; P = .001; aHR for DFS, 1.66; 95% CI, 1.23 to 2.26; P = .001). The CASP7 rs2227310 and CASP9 rs4645981 polymorphisms may affect survival in early-stage NSCLC. The analysis of these polymorphisms can help identify patients at high risk for a poor disease outcome.
ISSN:0732-183X
1527-7755
DOI:10.1200/JCO.2009.23.1738