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dc.contributor.authorSholl, Lynette Marie
dc.contributor.authorAisner, Dara L.
dc.contributor.authorVarella-Garcia, Marileila
dc.contributor.authorBerry, Lynne D.
dc.contributor.authorDias-Santagata, Dora
dc.contributor.authorWistuba, Ignacio I.
dc.contributor.authorChen, Heidi
dc.contributor.authorFujimoto, Junya
dc.contributor.authorKugler, Kelly
dc.contributor.authorFranklin, Wilbur A.
dc.contributor.authorIafrate, Anthony John
dc.contributor.authorLadanyi, Marc
dc.contributor.authorKris, Mark G.
dc.contributor.authorJohnson, Bruce Evan
dc.contributor.authorBunn, Paul A.
dc.contributor.authorMinna, John D.
dc.contributor.authorKwiatkowski, David Joseph
dc.date.accessioned2017-05-18T16:31:37Z
dc.date.issued2015
dc.identifier.citationSholl, Lynette M., Dara L. Aisner, Marileila Varella-Garcia, Lynne D. Berry, Dora Dias-Santagata, Ignacio I. Wistuba, Heidi Chen, et al. 2015. “Multi-Institutional Oncogenic Driver Mutation Analysis in Lung Adenocarcinoma: The Lung Cancer Mutation Consortium Experience.” Journal of Thoracic Oncology 10 (5) (May): 768–777. doi:10.1097/jto.0000000000000516.en_US
dc.identifier.issn1556-0864en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:32706202
dc.description.abstractIntroduction Molecular genetic analyses of lung adenocarcinoma have recently become standard of care for treatment selection. The Lung Cancer Mutation Consortium was formed to enable collaborative multi-institutional analyses of 10 potential oncogenic driver mutations. Technical aspects of testing, and clinicopathologic correlations are presented. Methods Mutation testing in at least one of 8 genes (EGFR, KRAS, ERBB2, AKT1, BRAF, MEK1, NRAS, PIK3CA) using SNaPshot, mass spectrometry, Sanger sequencing +/− PNA and/or sizing assays, along with ALK and/or MET FISH were performed in 6 labs on 1007 patients from 14 institutions. Results 1007 specimens had mutation analysis performed, and 733 specimens had all 10 genes analyzed. Mutation identification rates did not vary by analytic method. Biopsy and cytology specimens were inadequate for testing in 26% and 35% of cases compared to 5% of surgical specimens. Among the 1007 cases with mutation analysis performed, EGFR, KRAS, ALK, and ERBB2 alterations were detected in 22, 25, 8.5, and 2.4% of cases, respectively. EGFR mutations were highly associated with female sex, Asian race, and never smoking status; and less strongly associated with stage IV disease, presence of bone metastases, and absence of adrenal metastases. ALK rearrangements were strongly associated with never smoking status, and more weakly associated with presence of liver metastases. ERBB2 mutations were strongly associated with Asian race and never smoking status. Two mutations were seen in 2.7% of samples, all but one of which involved one or more of PIK3CA, ALK or MET. Conclusion Multi-institutional molecular analysis across multiple platforms, sample types, and institutions can yield consistent results and novel clinicopathological observations.en_US
dc.language.isoen_USen_US
dc.publisherElsevier BVen_US
dc.relation.isversionofdoi:10.1097/JTO.0000000000000516en_US
dc.relation.hasversionhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4410843/en_US
dash.licenseOAP
dc.subjectlung adenocarcinomaen_US
dc.subjectmutationen_US
dc.subjectFISHen_US
dc.subjectgenotypingen_US
dc.subjectLCMCen_US
dc.titleMulti-institutional Oncogenic Driver Mutation Analysis in Lung Adenocarcinoma: The Lung Cancer Mutation Consortium Experienceen_US
dc.typeJournal Articleen_US
dc.description.versionAccepted Manuscripten_US
dc.relation.journalJournal of Thoracic Oncologyen_US
dash.depositing.authorSholl, Lynette Marie
dc.date.available2017-05-18T16:31:37Z
dc.identifier.doi10.1097/JTO.0000000000000516*
dash.authorsorderedfalse
dash.contributor.affiliatedJohnson, Bruce
dash.contributor.affiliatedDias-Santagata, Dora
dash.contributor.affiliatedKwiatkowski, David
dash.contributor.affiliatedIafrate, Anthony
dash.contributor.affiliatedSholl, Lynette


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