Journal article
Molecular Profiling and Targeted Therapy for Advanced Thoracic Malignancies: A Biomarker-Derived, Multiarm, Multihistology Phase II Basket Trial
Journal of clinical oncology, v 33(9), pp 1000-1007
20 Mar 2015
PMID: 25667274
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Purpose
We conducted a basket clinical trial to assess the feasibility of such a design strategy and to independently evaluate the effects of multiple targeted agents against specific molecular aberrations in multiple histologic subtypes concurrently.
Patients and Methods
We enrolled patients with advanced non-small-cell lung cancer (NSCLC), small-cell lung cancer, and thymic malignancies who underwent genomic characterization of oncogenic drivers. Patients were enrolled onto a not-otherwise-specified arm and treated with standard-of-care therapies or one of the following five biomarker-matched treatment groups: erlotinib for EGFR mutations; selumetinib for KRAS, NRAS, HRAS, or BRAF mutations; MK2206 for PIK3CA, AKT, or PTEN mutations; lapatinib for ERBB2 mutations or amplifications; and sunitinib for KIT or PDGFRA mutations or amplification.
Results
Six hundred forty-seven patients were enrolled, and 88% had their tumors tested for at least one gene. EGFR mutation frequency was 22.1% in NSCLC, and erlotinib achieved a response rate of 60% (95% CI, 32.3% to 83.7%). KRAS mutation frequency was 24.9% in NSCLC, and selumetinib failed to achieve its primary end point, with a response rate of 11% (95% CI, 0% to 48%). Completion of accrual to all other arms was not feasible. In NSCLC, patients with EGFR mutations had the longest median survival (3.51 years; 95% CI, 2.89 to 5.5 years), followed by those with ALK rearrangements (2.94 years; 95% CI, 1.66 to 4.61 years), those with KRAS mutations (2.3 years; 95% CI, 2.3 to 2.17 years), those with other genetic abnormalities (2.17 years; 95% CI, 1.3 to 2.74 years), and those without an actionable mutation (1.85 years; 95% CI, 1.61 to 2.13 years).
Conclusion
This basket trial design was not feasible for many of the arms with rare mutations, but it allowed the study of the genetics of less common malignancies. (C) 2015 by American Society of Clinical Oncology
Metrics
Details
- Title
- Molecular Profiling and Targeted Therapy for Advanced Thoracic Malignancies: A Biomarker-Derived, Multiarm, Multihistology Phase II Basket Trial
- Creators
- Ariel Lopez-Chavez - National Cancer InstituteAnish Thomas - National Cancer InstituteArun Rajan - National Cancer InstituteMark Raffeld - National Cancer InstituteBetsy Morrow - National Cancer InstituteRonan Kelly - National Cancer InstituteCorey Allan Carter - National Cancer InstituteUdayan Guha - National Cancer InstituteKeith Killian - National Cancer InstituteChristopher C. Lau - National Cancer InstituteZied Abdullaev - National Cancer InstituteLiqiang Xi - National Cancer InstituteSvetlana Pack - National Cancer InstitutePaul S. Meltzer - National Cancer InstituteChristopher L. Corless - National Cancer InstituteAlan Sandler - National Cancer InstituteCarol Beadling - National Cancer InstituteAndrea Warrick - National Cancer InstituteDavid J. Liewehr - National Cancer InstituteSeth M. Steinberg - National Cancer InstituteArlene Berman - National Cancer InstituteAustin Doyle - National Cancer InstituteEva Szabo - National Cancer InstituteYisong Wang - National Cancer InstituteGiuseppe Giaccone - National Cancer Institute
- Publication Details
- Journal of clinical oncology, v 33(9), pp 1000-1007
- Publisher
- Lippincott Williams & Wilkins
- Number of pages
- 18
- Grant note
- National Cancer Institute (National Institutes of Health); United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI) Novartis Cancer Therapy Evaluation Program at the National Cancer Institute (National Institutes of Health) Knight Cancer Institute at Oregon Health and Science University
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- General Internal Medicine
- Web of Science ID
- WOS:000356056400009
- Scopus ID
- 2-s2.0-84927164071
- Other Identifier
- 991022059859704721
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InCites Highlights
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Oncology