Clinical correlation of extensive-stage small-cell lung cancer genomics

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Abstract

Background: Genomic studies in small-cell lung cancer (SCLC) lag far behind those carried out in nonsmall-cell lung cancer (NSCLC). To date, most SCLC studies have evaluated patients with surgically resectable disease. Here we sought to evaluate the genomic mutation spectrum of 'every-day' SCLC patient tumors with extensive stage disease (ES-SCLC) and to correlate mutations with the main clinical outcomes of response to chemotherapy, progression-free (PFS) and overall (OS) survival. Patients and methods: A total of 50 SCLC patient tumors were examined in this study; targeted exome sequencing was obtained on 42 patients and whole-exome sequencing on 8 patients. Mutated genes were correlated with clinical outcomes using Kaplan-Meier methods (PFS, OS) and logistic regression (chemo-response). RB1 protein expression was detected by either western blotting of cultured cell lysates or immunohistochemistry of tumor specimens. Results: In all, 39 patients had ES-SCLC; 15 patients had either primary refractory/resistant disease and 21 patients had sensitive disease. The two most frequently mutated genes were TP53 (86%) and RB1 (58%); other frequently mutated genes (>10% patients) were involved in epigenetic regulation as well as the mTOR pathway. We identified a number of low-frequency, targetable mutations, including RICTOR, FGFR1, KIT, PTCH1 and RET. Using multivariate analysis, RB1 was the only significant factor (P = 0.038) in predicting response to first-line chemotherapy, with an odds ratio of 5.58 comparing mutant RB1 with wild-type. Patients with mutant RB1 had both better OS (11.7 versus 9.1 months P = 0.04) and PFS (11.2 versus 8.6 months, P = 0.06) compared with patients with wild-type RB1. Interestingly, ~25% of SCLC cell lines and tumor specimens expressed RB1 protein, possibly representing the subgroup with wild-type RB1. Conclusions:We found that SCLC tumors harboring no mutation in RB1 had a poor response to chemotherapy.

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Dowlati, A., Lipka, M. B., McColl, K., Dabir, S., Behtaj, M., Kresak, A., … Wildey, G. (2016). Clinical correlation of extensive-stage small-cell lung cancer genomics. Annals of Oncology, 27(4), 642–647. https://doi.org/10.1093/annonc/mdw005

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