An extracellular matrix-related prognostic and predictive indicator for early-stage non-small cell lung cancer

Su Bin Lim, Swee Jin Tan, Wan-Teck Lim and Chwee Teck Lim ()
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Su Bin Lim: NUS Graduate School for Integrative Sciences & Engineering (NGS), National University of Singapore
Swee Jin Tan: Clearbridge Accelerator Pte Ltd
Wan-Teck Lim: Division of Medical Oncology, National Cancer Centre Singapore
Chwee Teck Lim: NUS Graduate School for Integrative Sciences & Engineering (NGS), National University of Singapore

Nature Communications, 2017, vol. 8, issue 1, 1-11

Abstract: Abstract The prognosis and prediction of adjuvant chemotherapy (ACT) response in early-stage non-small cell lung cancer (NSCLC) patients remain poor in this era of personalized medicine. We hypothesize that extracellular matrix (ECM)-associated components could be potential markers for better diagnosis and prognosis due to their differential expression in 1,943 primary NSCLC tumors as compared to 303 normal lung tissues. Here we develop a 29-gene ECM-related prognostic and predictive indicator (EPPI). We validate a robust performance of the EPPI risk scoring system in multiple independent data sets, comprising a total of 2,071 early-stage NSCLC tumors. Patients are stratified according to the universal cutoff score based on the EPPI when applied in the clinical setting; the low-risk group has significantly better survival outcome. The functional EPPI gene set represents a potential genomic tool to improve patient selection in early-stage NSCLC to further derive the best benefits of ACT and prevent unnecessary treatment or ACT-associated morbidity.

Date: 2017
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DOI: 10.1038/s41467-017-01430-6

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