Mayo Clinic, Rochester, MN
Anuya Ajit Natu , Clifford Michael Csizmar , Mark Gurney , Terra L. Lasho , Christy Finke , Christopher Dean , Abhishek A Mangaonkar , Aref Al-Kali , Naseema Gangat , Hassan B. Alkhateeb , Ayalew Tefferi , Mrinal Patnaik
Background: PTPN11 (Ch12q24) is a proto-oncogene that codes for SHP2, a regulatory protein tyrosine phosphatase that impacts RAS/MAPK signaling. Germline variants have been described in juvenile myelomonocytic leukemia, while somatic variants have been associated with inferior survival in acute myeloid leukemia. PTPN11 variants are infrequent in chronic myelomonocytic leukemia (CMML), and their impact on disease phenotype and survival remains unclear. Methods: After IRB approval, 396 molecularly annotated CMML patients at Mayo Clinic were screened for somatic PTPN11 variants within 12 months of diagnosis while still in chronic phase disease. Overall (OS), acute myeloid leukemia (AML)-free survival (LFS), and predictors of survival were estimated using standard statistical measures. Results: 396 patients (median age 71 years; males 67%) with CMML were considered; pathogenic PTPN11 variants were seen in 12 (3%) with a median VAF of 20.5% (range: 4-50): A72T (n = 2), F285S (n = 2), and A72S (n = 2). Variants were most likely to be seen in the N-terminal SH2 domain (n = 7), followed by the PTP domain (n = 6), and the C-terminal SH2 domain (n = 1). PTPN11 variants clustered with CMML-2 (p = 0.02), higher absolute neutrophil count (p = 0.04), peripheral blood (p = 0.06) and bone marrow (p = 0.02) blast %, older age (p <0.01), and were less likely to have SRSF2 comutations (p = 0.02). After a median follow-up of 18 months (range 0-193), 253 (64%) deaths and 68 (17%) AML transformations were recorded. PTPN11 variants negatively and independently impacted both OS (median 13 vs. 31 months; p <0.01) and LFS (AML events: 42% (5/12) vs. 16% (63/384); p <0.01). In age-adjusted multivariate analysis restricted to genetic risk factors, survival was negatively affected by abnormal karyotype and mutations involving PTPN11, DNMT3A, and SETBP1, and positively by TET2 mutations. All but SETBP1 retained significance in the presence of additional independent risk factors, namely male sex (p <0.01) and leukocyte count (p <0.01); HR in the latter analysis was 4.3 for PTPN11, 2.8 for DNMT3A, and 1.6 for abnormal karyotype. A similar analysis for LFS identified, as risk factors, PTPN11 (p = 0.01), DNMT3A (p <0.01), and ASXL1 (p = 0.03) mutations, as well as bone marrow blast % (p <0.01), absolute monocyte count ≥10 (p = 0.02), and immature circulating myeloid cells (p <0.01). Conclusions: The current study identifies PTPN11 and DNMT3A mutations as independent risk factors for both OS and LFS in CMML. In regard to additional genetic risk factors, OS was positively affected by TET2 mutations and negatively by abnormal karyotype, while LFS was negatively affected by ASXL1 mutations.
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