AI Article Synopsis

  • Post-operative pulmonary complications are common in NSCLC patients after lung surgery, and the study investigates the genetic factors that may influence this risk.
  • Researchers focused on the TNF/TRAF2/ASK1/p38 kinase pathway, analyzing 173 genetic variants in two groups of NSCLC patients where they found MAP2K4:rs12452497 significantly reduced complications risk by 40%.
  • A total of seven genetic variants showed a notable association with pulmonary complications, indicating that understanding these genetic factors could help identify patients at higher risk for complications post-surgery.

Article Abstract

Post-operative pulmonary complications are the most common morbidity associated with lung resection in non-small cell lung cancer (NSCLC) patients. The TNF/TRAF2/ASK1/p38 kinase pathway is activated by stress stimuli and inflammatory signals. We hypothesized that genetic polymorphisms within this pathway may contribute to risk of complications. In this case-only study, we genotyped 173 germline genetic variants in a discovery population of 264 NSCLC patients who underwent a lobectomy followed by genotyping of the top variants in a replication population of 264 patients. Complications data was obtained from a prospective database at MD Anderson. MAP2K4:rs12452497 was significantly associated with a decreased risk in both phases, resulting in a 40% reduction in the pooled population (95% CI:0.43-0.83, P = 0.0018). In total, seven variants were significant for risk in the pooled analysis. Gene-based analysis supported the involvement of TRAF2, MAP2K4, and MAP3K5 as mediating complications risk and a highly significant trend was identified between the number of risk genotypes and complications risk (P = 1.63 × 10(-8)). An inverse relationship was observed between association with clinical outcomes and complications for two variants. These results implicate the TNF/TRAF2/ASK1/p38 kinase pathway in modulating risk of pulmonary complications following lobectomy and may be useful biomarkers to identify patients at high risk.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4499815PMC
http://dx.doi.org/10.1038/srep12068DOI Listing

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