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Internal medicine journal · Jan 2018
Survival difference according to mutation status in a prospective cohort study of Australian patients with metastatic non-small-cell lung carcinoma.
- Lavinia Tan, Marliese Alexander, Ann Officer, Michael MacManus, Linda Mileshkin, Ross Jennens, Dishan Herath, Richard de Boer, Stephen B Fox, David Ball, and Benjamin Solomon.
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
- Intern Med J. 2018 Jan 1; 48 (1): 37-44.
BackgroundNon-small-cell lung cancer (NSCLC) is a heterogeneous disease comprising not only different histological subtypes but also different molecular subtypes.AimTo describe the frequency of oncogenic drivers in patients with metastatic NSCLC, the proportion of patients tested and survival difference according to mutation status in a single-institution study.MethodsMetastatic NSCLC patients enrolled in a prospective Thoracic Malignancies Cohort Study between July 2012 and August 2016 were selected. Patients underwent molecular testing for epidermal growth factor receptor (EGFR), anaplastic lymphoma kinase (ALK) gene rearrangements, Kirsten rat sarcoma (KRAS), B-Raf proto-oncogene (BRAF) mutations and ROS1 gene rearrangements. Survival was calculated using the Kaplan-Meier method for groups of interest, and comparisons were made using the log-rank test.ResultsA total of 392 patients were included, 43% of whom were female with median age of 64 years (28-92). Of 296 patients tested, 172 patients (58%) were positive for an oncogenic driver: 81 patients (27%) were EGFR positive, 25 patients (9%) were ALK positive, 57 patients (19%) had KRAS mutation and 9 patients (3%) were ROS1 or BRAF positive. Patients with an actionable mutation (EGFR/ALK) had a survival advantage when compared with patients who were mutation negative (hazard ratio (HR) 0.49; 95% confidence interval (CI) 0.33-0.71; P < 0.01). Survival difference between mutation negative and mutation status unknown was not statistically significant when adjusted for confounding factors in a multivariate analysis (HR 1.29; 95% CI 0.97-1.78, P = 0.08).ConclusionIn this prospective cohort, the presence of an actionable mutation was the strongest predictor of overall survival. These results confirm the importance of molecular testing and suggest likely survival benefit of identification and treatment of actionable oncogenes.© 2017 Royal Australasian College of Physicians.
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