Identification of Actionable Genomic Alterations Across Different Lymphoma Histologies Using a Comprehensive Next Generation Genomic Sequencing Clinical Assay

2014 
Background: Several retrospective series have characterized the genomic landscape in many lymphoma subtypes. However, as these studies used different sequencing methods, depth of coverage, and specimen source, the incidence of alterations in many lymphoma subtypes remain unknown. Even when common genomic alterations were identified within a lymphoma subtype, the incidence and spectrum of the alterations varied. In this study, we prospectively examined the incidence of genomic alterations across different lymphoma subtypes using the Foundation One Heme (FOH) assay. Methods: FOH testing was offered to patients in routine clinical practice. Formalin-fixed paraffin-embedded (FFPE) tissue, bone marrow aspirate or peripheral blood were examined using the FOH targeted sequencing assay. Hybridization capture from 405 cancer related genes and 31 genes commonly rearranged in cancer was applied to ≥ 50ng of DNA extracted from 49 tumor specimens and sequenced to high, uniform coverage. Genomic alterations, which include: base substitutions, small insertions and deletions (indels), rearrangements, and copy number alterations, were determined. Results: Specimens from 48 non-consecutive patients with lymphoma (5 new diagnoses, 42 relapsed) were prospectively examined. Represented subtypes include DLBCL (44%), FL (17%), CLL (10%), MCL (10%), MZL (8%), T cell lymphoma (4%), and Hodgkin lymphoma (2%). Median age of diagnosis was 48.1 years (range 29.5-80.6) with a male predominance (69%). The majority (75%) had advanced stage disease at diagnosis, with a median of 3 lines of therapy (range 1-12, n=44). Forty-nine specimens, (1 patient with 2 specimens) were collected from FFPE (70%), peripheral blood (22%) or bone marrow aspirate (8%). Reports resulted after a median 28 days (range 10-48 days) from the time specimens were shipped to Foundation Medicine. Across 48 patients, 90 distinct alterations were detected with a median of 5 alterations/patient (range 0-11). Genomic alterations were more commonly observed in relapsed aggressive lymphoma compared to relapsed indolent lymphoma (median 6.4 vs 4 alterations/patient, p Conclusion: Application of a comprehensive next generation genomic sequencing assay provides an opportunity to both describe the spectrum and compare the incidence of genetic alterations across different lymphoma subtypes. Preliminary data suggest the vast majority of patients have one or more genomic alterations linked to approved agents or clinical trials. Data collection is ongoing. While the true incidence of each genomic alteration is not defined, the dataset provides the frequency of genomic alterations in a clinically relevant population. Moreover, these data will facilitate design of clinical trials by providing the opportunity to select patients based on shared genomic alterations rather than lymphoma subtype. Disclosures Moskowitz: Seattle Genetics, Inc.: Consultancy, Research Funding; Genentech: Research Funding; Merck: Research Funding. Horwitz: Celgene: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; Infinity: Research Funding; Kiowa�]Kirin: Research Funding; Seattle Genetics: Consultancy, Research Funding; Spectrum: Research Funding; Amgen: Consultancy; Bristol�]Myers Squibb,: Consultancy; Jannsen: Consultancy. Hamlin: Gilead, Spectrum, Seattle Genetics, Genentech: Consultancy; Spectrum, GSK, Jansen and Jansen/Pharmacyclics, Portola, Seattle Genetics: Research Funding. Matasar: Genentech: Consultancy; Spectrum: Consultancy. Miller: Foundation Medicine: Employment. Stephens: Foundation Medicine: Employment, Equity Ownership. He: Foundation Medicine: Employment. Younes: Novartis: Research Funding; J & J: Research Funding; Curis: Research Funding; Bayer; Bristol Meyer Squibb; Celgene; Incyte; Janssen R & D; Sanofi; Seattle Genetics; Takeda Millenium: Honoraria.
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