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

• Main Authors: Lim, S.B, Tan, S.J, Lim, W.-T, Lim, C.T
• Other Authors: DUKE-NUS MEDICAL SCHOOL
• Format: Article
• Published: Nature Publishing Group 2020
• Subjects: cancer; cells and cell components; chemotherapy; detection method; disease treatment; gene; prediction; respiratory disease; survival; tumor; adjuvant chemotherapy; Article; cancer prognosis; cancer survival; controlled study; early cancer; extracellular matrix; gene expression; human; human tissue; low risk population; microarray analysis; non small cell lung cancer; oncogene; outcome assessment; overall survival; predictive validity; recurrence free survival; scoring system; algorithm; biology; cancer staging; gene expression profiling; genetic database; genetics; genomics; Kaplan Meier method; lung tumor; multigene family; personalized medicine; prognosis; risk factor; tumor marker; Algorithms; Biomarkers, Tumor; Carcinoma, Non-Small-Cell Lung; Chemotherapy, Adjuvant; Computational Biology; Databases, Genetic; Extracellular Matrix; Gene Expression Profiling; Genomics; Humans; Kaplan-Meier Estimate; Lung Neoplasms; Multigene Family; Neoplasm Staging; Precision Medicine; Prognosis; Risk Factors
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/174381
• Institution: National University of Singapore

10.1038/s41467-017-01430-6