Mutations In XPO1, POT1, BIRC3 and FBXW7collectively Predict Poor Outcome At Diagnosis In CLL and MBL Independent From The SF3B1and NOTCH1Status

Autor: Winkelmann, Nils, Rose-Zerilli, Mathew J, Forster, Jade, Parry, Mathew, Parker, Anton, Gardiner, Anne, Davies, Zadie, Steele, Andrew J, Parker, Helen, Collins, Andrew, Cross, Nick C.P., Oscier, David, Strefford, Jonathan C
Zdroj: Blood; November 2013, Vol. 122 Issue: 21 p4138-4138, 1p
Abstrakt: With the application of high-throughput sequencing, our understanding of the somatic mutations that contribute to the pathogenesis of CLL has expanded significantly. Amongst these mutations, NOTCH1and SF3B1are the most prevalent and at diagnosis are associated with reduced survival independent of clinical and biological variables. However, we have limited understanding of the prognostic impact of other, less prevalent mutations. To address this question, we investigated the distribution, clinical significance and clonal acquisition of SF3B1, NOTCH1, XPO1, POT1, BIRC3, MYD88 and FBXW7mutations in a single-centre diagnostic cohort of 140 patients with CLL, of whom 115 had Binet stage A disease and 91 patients with clinical MBL based on the 2008 IWCLL/NCI diagnostic criteria. Ninety patients (35 MBL and 55 CLL) also had DNA samples analyzed at a second time point (median 72 months, 24-145 months from diagnosis). We defined progressive disease as either presentation with stage B/C disease, evolution of MBL or stage A to stage B/C and/or the need for treatment. With high-resolution melt (HRM) analysis and subsequent Sanger sequencing, we identified mutations of SF3B1in 9% (21/225), NOTCH1in 5% (12/228), POT1in 6 %(7/123), XPO1in 2 %(4/196), MYD88in 1% (3/223) and BIRC3mutations in 0.5 % (1/222) of patients. FBXW7mutations were identified in 8% (3/36) of the trisomy 12 patients from our cohort. In the patients studied sequentially we confirmed acquired mutations of SF3B1(n=5) and XPO1(n=1) in 3 patients with MBL and in 3 with CLL. Whilst we confirmed the impact of NOTCH1mutations on treatment free survival (76 vs. 107 months, p=0.002) and SF3B1mutations on overall survival (96 vs. 117 months, p=0.004), the prevalence of mutations in the other genes was too low to assess individually. We therefore assessed the collective burden of mutations in our cohort (excluding the MYD88 cases which had long term stable disease ) and demonstrated the following: 1) In both the MBL and CLL cohorts, the frequency of a gene mutation was higher in patients with progressive disease than in those with long-term, clinically stable disease (MBL: 36 vs. 12% p=0.02, CLL: 41 vs. 10%, p<0.001),and also independent of SF3B1 and NOTCH1 mutations and deletions of 17p (MBL and CLL: 11 vs. 3%; p=0.031). 2) All patients and those in the MBL cohort, with mutations targeting genes other than SF3B1 and NOTCH1were more likely to require treatment (Entire cohort: OR 3.1, p=0.008, MBL cohort: OR 20, p= 0.006). This resulted in a reduced treatment-free survival (Entire cohort: 40 vs. 102 months, HR 10, 95%CI 3-30, p<0.001) and overall survival. (Entire cohort: 97 vs. 120 months HR 2.7, 95% CI 1.2-5.9, p=0.013) which was independent of the presence of a 17p deletion (p=0.008) and of IGHVstatus in bivariate analysis (p=0.02). 4/6 patients who acquired a mutation at 38-208 months (median 127 months) after initial analysis required treatment. Taken together, our study suggests that identifying mutations in genes other than NOTCH1and SF3B1may have utility in the clinical management of MBL and CLL as they predict for progressive disease, treatment requirement and reduced survival. Much larger studies with sequential data post therapy will be required to elucidate whether specific rare gene mutations predict a poor outcome or whether they either result in, or are a marker of genomic instability and subsequent genomic complexity.Frequencies of mutations and cytogenetic aberrationsMBL stable (n=34)MBL evolving to stage A CLL (n=29)MBL progressive (n=22)Binet A CLL stable (n=70)Binet A CLL progressive (n=45)Binet B CLL (n=20)NOTCH1 (%)0/340/293/22 (14)1/69 (1.4)4/43 (9.3)1/19 (5)SF3B1 (%)1/34 (2.9)4/29 (14)2/22 (9)3/69 (4.3)11/45 (24)5/20 (25)total including all other screened genes (%)1/34 (2.9)4/29 (14)8/22 (36)7/70 (10)18/45 (40)7/20 (35)11q23 (%)1/34 (2.9)1/27 (3.7)2/20 (10)1/66 (1.5)9/40 (23)3/16 (19)17p (%)1/32 (3.1)1/27 (3.7)1/19 (5)2/66 (3)0/400/16IGHV unmutated/mutated (% / %)5/29 (15/85)5/24 (17/83)15/7 (68/32)10/60 (14/86)25/20 (66/44)18/2 (90/10)tri12 (%)7/24 (29)5/22 (23)7/18 (32)9/57 (16)10/39 (26)8/16 (50)biallelic del13q14 (%)9/21 (43)4/14 (29)2/11 (9)20/40 (50)6/19 (32)2/12 (17)
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