Identification of hallmarks of lung adenocarcinoma prognosis using whole genome sequencing

Abstract

In conjunction with clinical characteristics, prognostic biomarkers are essential for choosing optimal therapies to lower the mortality of lung adenocarcinoma. Whole genome sequencing (WGS) of 7 cancerous-noncancerous tissue pairs was performed to explore the comparative copy number variations (CNVs) associated with lung adenocarcinoma. The frequencies of top ranked CNVs were verified in an independent set of 114 patients and then the roles of target CNVs in disease prognosis were assessed in 313 patients. The WGS yielded 2604 CNVs. After frequency validation and biological function screening of top 10 CNVs, 9 mutant driver genes from 7 CNVs were further analyzed for an association with survival. Compared with the PBXIP1 amplified copy number, unamplified carriers had a 0.62-fold (95%CI = 0.43–0.91) decreased risk of death. Compared with an amplified TERT, those with an unamplified TERT had a 35% reduction (95% CI = 3%–56%) in risk of lung adenocarcinoma progression. Cases with both unamplified PBXIP1 and TERT had a median 34.32-month extension of overall survival and 34.55-month delay in disease progression when compared with both amplified CNVs. This study demonstrates that CNVs of TERT and PBXIP1 have the potential to translate into the clinic and be used to improve outcomes for patients with this fatal disease.