Genomic based analyses reveal unique mutational profiling and identify prognostic biomarker for overall survival in Chinese small-cell lung cancer
- PMID: 31612912
- DOI: 10.1093/jjco/hyz131
Genomic based analyses reveal unique mutational profiling and identify prognostic biomarker for overall survival in Chinese small-cell lung cancer
Abstract
Objective: As an aggressive subtype of lung cancer, small-cell lung cancer (SCLC) presents a poor prognosis. Although molecular and clinical characteristics have been established for SCLC, limited investigation has been performed for predicting survival of SCLC patients.
Methods: Genomic alterations were profiled in Chinese SCLC patients (N = 37) using targeted sequencing. Clonal mutation burden (CMB) integrated the number of mutations with the clonal structure of the tumor. Specific pathways involving DNA damage repair (DDR) and cell cycle as well as CMB were studied as potential biomarkers for prognosis of SCLC.
Results: TP53 and RB1 gene mutations were the most common alterations (91.9% and 83.8%, respectively), followed by LRP1B, FAM135B, SPTA1, KMT2D, FAT1, and NOTCH3. Survival analysis revealed that mutation status of the DDR pathway was associated with worse OS in our cohort. Importantly, patients with higher CMB exhibited worse OS in our cohort and this observation was successfully validated in the cBioportal cohort. Moreover, multivariate analysis demonstrated CMB as a promising independent prognostic factor for OS in Chinese SCLC patients. Interestingly, patients with loss of function of RB1, validated by immunohistochemistry staining, appeared to have worse OS.
Conclusions: The mutational profiling of Chinese SCLC patients signified an ethnicity dependent component. CMB was firstly found to be associated with OS of Chinese SCLC patients and could be regarded as a prognostic marker for SCLC.
Keywords: DNA repair; clonal mutation burden; mutational profile; overall survival; small-cell lung cancer.
© The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
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