| Literature DB >> 29358183 |
Koichi Takahashi1,2,3, Boyu Hu4, Feng Wang2, Yuanqing Yan5, Ekaterina Kim1, Candida Vitale1, Keyur P Patel6, Paolo Strati4, Curtis Gumbs2, Latasha Little2, Samantha Tippen2, Xingzhi Song7, Jianhua Zhang2, Nitin Jain1, Philip Thompson1, Guillermo Garcia-Manero1, Hagop Kantarjian1, Zeev Estrov1, Kim-Anh Do5, Michael Keating1, Jan A Burger1, William G Wierda1, P Andrew Futreal2, Alessandra Ferrajoli1.
Abstract
Lenalidomide is clinically active in chronic lymphocytic leukemia (CLL), but its effectiveness in the context of the CLL mutational landscape is unknown. We performed targeted capture sequencing of 295 cancer genes in specimens from 102 CLL patients with treatment-naïve disease (TN patients) and 186 CLL patients with relapsed/refractory disease (R/R patients) who received lenalidomide-based therapy at our institution. The most frequently mutated gene was SF3B1 (15%), followed by NOTCH1 (14%) and TP53 (14%), with R/R patients having significantly more TP53 mutations than did TN patients. Among all lenalidomide-treated patients, del(17p) (P ≤ .001), del(11q) (P = .032), and complex karyotype (P = .022), along with mutations in TP53 (P ≤ .001), KRAS (P = .034), and DDX3X (P ≤ .001), were associated with worse overall response (OR). R/R patients with SF3B1 and MGA mutations had significantly worse OR (P = .025 and .035, respectively). TN and R/R patients with del(17p) and TP53 mutations had worse overall survival (OS) and progression-free survival (PFS). In R/R patients, complex karyotype and SF3B1 mutations were associated with worse OS and PFS; DDX3X mutations were associated with worse PFS only. Weibull regression multivariate analysis revealed that TP53 aberrations (del(17p), TP53 mutation, or both), along with complex karyotype and SF3B1 mutations, were associated with worse OS in the R/R cohort. Taken together, cancer gene mutations in CLL contribute to the already comprehensive risk stratification and add to prognosis and response to treatment. The related trials were registered at www.clinicaltrials.gov as #NCT00267059, #NCT00535873, #NCT00759603, #NCT01446133, and #NCT01002755.Entities:
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Year: 2018 PMID: 29358183 PMCID: PMC5909764 DOI: 10.1182/blood-2017-11-817296
Source DB: PubMed Journal: Blood ISSN: 0006-4971 Impact factor: 22.113