Background: Small cell lung cancer (SCLC) is one of highly aggressive cancers with poor prognosis. Unfortunately, there are as yet no molecular targets that can be exploited to prolong survival in patients with SCLC. This study aimed to investigate possible molecular markers associated with prognosis in limited-stage small cell lung cancer (LS-SCLC).

Methods: The demographic and clinical data for LS-SCLC patients treated in a tertiary care hospital between January 2008 and December 2012 were retrospectively reviewed. NQO1 polymorphism and the expression of p53, SOD2, PARP1 were examined in biopsy specimens, and the factors affecting prognosis were identified.

Results: 79 patients with LS-SCLC having available pathologic tissues were analyzed. 84.8% of them received both chemotherapy and radiotherapy. NQO1 polymorphism was detected in 60.0% (45/79; heterozygous in 26 patients, homozygous in 19 patients). Over-expression of p53, SOD2, PARP1 was seen in 45.6% (36/79), 38.0% (30/79) and 41.8% (33/79) of the patients, respectively. The univariate Cox proportional hazards model revealed that serum lactate dehydrogenase (LDH) levels and PARP1 expression were associated with disease progression. In the multivariate analysis, only PARP1 expression was a significant independent prognostic factor for progression-free survival (hazard ratio: 0.494; 95% CI, 0.267-0.913, P = 0.025).

Conclusions: PARP1 expression is correlated with longer progression-free survival in LS-SCLC requiring further studies to clarify the precise role of PARP1 and the relevance of PARP1-targeted therapy.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4230145PMC

Publication Analysis

Top Keywords

nqo1 polymorphism
12
p53 sod2
12
sod2 parp1
12
small cell
12
cell lung
12
lung cancer
12
parp1 expression
12
polymorphism expression
8
expression p53
8
limited-stage small
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!