BACKGROUND: The clinical implementation of genomic profiling for lung cancer with high-throughput, multiplex tests is warranted to allow prioritization of appropriate therapies for individual patients. We have now applied such testing to detect actionable mutations that may inform treatment recommendations in lung cancer. PATIENTS AND METHODS: We prospectively applied amplicon sequencing panels that cover both mutational hotspots in 22 genes related to lung and colon tumorigenesis as well as 72 major variants of ALK, RET, ROS1, and NTRK1 fusion transcripts. We then determined the proportion of patients who received genotype-directed therapy and their overall survival (OS). RESULTS: Tumor specimens from 110 patients with lung cancer recruited between July 2013 and March 2015 were analyzed. The most common genetic alterations were TP53 mutations in 42 patients, followed by EGFR mutations in 25, STK11 mutations in 12, and KRAS mutations in 10. Potentially actionable mutations were identified in 44 patients including 50% of those with adenocarcinoma and 14% of those with squamous cell carcinoma. The OS of patients with advanced or recurrent cancer who had an actionable mutation and received targeted therapy (median OS not achieved) was significantly longer than that of those with no mutation (18.1 months, P = 0.041) or of those with a mutation not so treated (6.1 months, P = 0.0027). CONCLUSIONS: Multiplex genomic testing was performed on formalin-fixed, paraffin-embedded tumor specimens with a success rate of ≥95%. Such testing can assist physicians in matching patients with approved or experimental targeted treatments. CLINICAL TRIAL REGISTRATION: The University Medical Hospital Information Network (UMIN) Clinical Trials Registry under the identifier UMIN000014782.
BACKGROUND: The clinical implementation of genomic profiling for lung cancer with high-throughput, multiplex tests is warranted to allow prioritization of appropriate therapies for individual patients. We have now applied such testing to detect actionable mutations that may inform treatment recommendations in lung cancer. PATIENTS AND METHODS: We prospectively applied amplicon sequencing panels that cover both mutational hotspots in 22 genes related to lung and colon tumorigenesis as well as 72 major variants of ALK, RET, ROS1, and NTRK1 fusion transcripts. We then determined the proportion of patients who received genotype-directed therapy and their overall survival (OS). RESULTS:Tumor specimens from 110 patients with lung cancer recruited between July 2013 and March 2015 were analyzed. The most common genetic alterations were TP53 mutations in 42 patients, followed by EGFR mutations in 25, STK11 mutations in 12, and KRAS mutations in 10. Potentially actionable mutations were identified in 44 patients including 50% of those with adenocarcinoma and 14% of those with squamous cell carcinoma. The OS of patients with advanced or recurrent cancer who had an actionable mutation and received targeted therapy (median OS not achieved) was significantly longer than that of those with no mutation (18.1 months, P = 0.041) or of those with a mutation not so treated (6.1 months, P = 0.0027). CONCLUSIONS: Multiplex genomic testing was performed on formalin-fixed, paraffin-embedded tumor specimens with a success rate of ≥95%. Such testing can assist physicians in matching patients with approved or experimental targeted treatments. CLINICAL TRIAL REGISTRATION: The University Medical Hospital Information Network (UMIN) Clinical Trials Registry under the identifier UMIN000014782.
Authors: Julie W Reeser; Dorrelyn Martin; Jharna Miya; Esko A Kautto; Ezra Lyon; Eliot Zhu; Michele R Wing; Amy Smith; Matthew Reeder; Eric Samorodnitsky; Hannah Parks; Karan R Naik; Joseph Gozgit; Nicholas Nowacki; Kurtis D Davies; Marileila Varella-Garcia; Lianbo Yu; Aharon G Freud; Joshua Coleman; Dara L Aisner; Sameek Roychowdhury Journal: J Mol Diagn Date: 2017-08-09 Impact factor: 5.568
Authors: Joshua K Sabari; Fernando Santini; Isabella Bergagnini; W Victoria Lai; Kathryn C Arbour; Alexander Drilon Journal: Curr Oncol Rep Date: 2017-04 Impact factor: 5.075