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dc.contributor.authorRangachari, Deepa
dc.contributor.authorVanderlaan, Paul A
dc.contributor.authorLe, Xiuning
dc.contributor.authorFolch, Erik E
dc.contributor.authorKent, Michael
dc.contributor.authorGangadharan, Sidhu
dc.contributor.authorMajid, Adnan
dc.contributor.authorHaspel, Richard Lawrence
dc.contributor.authorJoseph, Loren Jay
dc.contributor.authorHuberman, Mark S.
dc.contributor.authorCosta, Daniel Botelho
dc.date.accessioned2018-06-20T20:55:26Z
dc.date.issued2015
dc.identifierQuick submit: 2017-07-17T11:20:28-0400
dc.identifier.citationRangachari, Deepa, Paul A. VanderLaan, Xiuning Le, Erik Folch, Michael S. Kent, Sidharta P. Gangadharan, Adnan Majid, et al. 2015. “Experience with Targeted Next Generation Sequencing for the Care of Lung Cancer: Insights into Promises and Limitations of Genomic Oncology in Day-to-Day Practice.” Cancer Treatment Communications 4: 174–181. doi:10.1016/j.ctrc.2015.10.004.en_US
dc.identifier.issn2213-0896en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:37140911
dc.description.abstractIntroduction Tumor genotyping using single gene assays (SGAs) is standard practice in advanced non-small-cell lung cancer (NSCLC). We evaluated how the introduction of next generation sequencing (NGS) into day-to-day clinical practice altered therapeutic decision-making. Methods Clinicopathologic data, tumor genotype, and clinical decisions were retrospectively compiled over 6 months following introduction of NGS assay use at our institution in 82 patient-tumor samples (7 by primary NGS, 22 by sequential SGAs followed by NGS, and 53 by SGAs). Results SGAs identified abnormalities in 34 samples, and all patients with advanced EGFR-mutated or ALK-rearranged tumors received approved tyrosine kinase inhibitors (TKIs) or were consented for clinical trials. NGS was more commonly requested for EGFR, ALK, and KRAS-negative tumors (p<0.0001). NGS was successful in 24/29 (82.7%) tumors. Of 17 adenocarcinomas (ACs), 11 (7 from patients with ≤15 pack-years of smoking) had abnormalities in a known driver oncogene. This led to a change in decision-making in 8 patients, trial consideration in 6, and off-label TKI use in 2. Of 7 squamous cell (SC) carcinomas, 1 had a driver aberration (FGFR1); 6 had other genomic events (all with TP53 mutations). In no cases were clinical decisions altered (p=0.0538 when compared to ACs). Conclusions Targeted NGS can identify a significant number of therapeutically-relevant driver events in lung ACs; particularly in never or light smokers. For SC lung cancers, NGS is less likely to alter current practice. Further research into the cost effectiveness and optimal use of NGS and improved provider training in genomic oncology are warranted.en_US
dc.language.isoen_USen_US
dc.publisherElsevier BVen_US
dc.relation.isversionof10.1016/j.ctrc.2015.10.004en_US
dc.relation.hasversionhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4653729/en_US
dash.licenseOAP
dc.subjectNon-small-cell lung canceren_US
dc.subjectadenocarcinomaen_US
dc.subjectdriver oncogeneen_US
dc.subjectnext generation sequencingen_US
dc.subjectsquamous cell carcinomasen_US
dc.subjectALKen_US
dc.subjectEGFRen_US
dc.subjectMETen_US
dc.subjectROS1en_US
dc.subjectgenotypeen_US
dc.titleExperience with targeted next generation sequencing for the care of lung cancer: Insights into promises and limitations of genomic oncology in day-to-day practiceen_US
dc.typeJournal Articleen_US
dc.date.updated2017-07-17T15:20:34Z
dc.description.versionAccepted Manuscripten_US
dc.relation.journalCancer Treatment Communicationsen_US
dash.depositing.authorVanderlaan, Paul A
dc.date.available2015
dc.date.available2018-06-20T20:55:26Z
dc.identifier.doi10.1016/j.ctrc.2015.10.004*
workflow.legacycommentscat.completeen_US
dash.authorsorderedfalse
dash.contributor.affiliatedHaspel, Richard
dash.contributor.affiliatedJoseph, Loren
dash.contributor.affiliatedFolch, Erik
dash.contributor.affiliatedRangachari, Deepa
dash.contributor.affiliatedVanderlaan, Paul
dash.contributor.affiliatedGangadharan, Sidhu
dash.contributor.affiliatedMajid, Adnan
dash.contributor.affiliatedKent, Michael
dash.contributor.affiliatedCosta, Daniel


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