Comprehensive Genomic Profiling Reveals Diverse but Actionable Molecular Portfolios across Hematologic Malignancies: Implications for Next Generation Clinical Trials

Autor: Lisa Kim, Pablo Tamayo, Vincent A. Miller, Catriona Jamieson, Razelle Kurzrock, Matthew J. Wieduwilt, Aaron M. Goodman, Tariq I. Mughal, Jo-Anne Vergilio, Michael Y. Choi, Natalie Galanina, Huwate Yeerna, Carolyn Mulroney, Rafael Bejar
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Cancers, Vol 11, Iss 1, p 11 (2018)
Cancers
Cancers, vol 11, iss 1
Volume 11
Issue 1
ISSN: 2072-6694
Popis: Background: The translation of genomic discoveries to the clinic is the cornerstone of precision medicine. However, incorporating next generation sequencing (NGS) of hematologic malignancies into clinical management remains limited. Methods: We describe 235 patients who underwent integrated NGS profiling (406 genes) and analyze the alterations and their potential actionability. Results: Overall, 227 patients (96.5%) had adequate tissue. Most common diagnoses included myelodysplastic syndrome (22.9%), chronic lymphocytic leukemia (17.2%), non-Hodgkin lymphoma (13.2%), acute myeloid leukemia (11%), myeloproliferative neoplasm (9.2%), acute lymphoblastic leukemia (8.8%), and multiple myeloma (7.5%). Most patients (N = 197/227 (87%)) harbored &ge
1 genomic alteration(s)
170/227 (75%), &ge
1 potentially actionable alteration(s) targetable by an FDA-approved (mostly off-label) or an investigational agent. Altogether, 546 distinct alterations were seen, most commonly involving TP53 (10.8%), TET2 (4.6%), and DNMT3A (4.2%). The median tumor mutational burden (TMB) was low (1.7 alterations/megabase)
12% of patients had intermediate or high TMB (higher TMB correlates with favorable response to anti-PD1/PDL1 inhibition in solid tumors). In conclusion, 96.5% of patients with hematologic malignancies have adequate tissue for comprehensive genomic profiling. Most patients had unique molecular signatures, and 75% had alterations that may be pharmacologically tractable with gene- or immune-targeted agents.
Databáze: OpenAIRE