Polycythemia vera (PV) is characterized by JAK2 and essential thrombocythemia (ET) by JAK2, calreticulin (CALR), and myeloproliferative leukemia virus oncogene (MPL) mutations; we describe the occurrence and prognostic relevance of DNA sequence variants/mutations other than JAK2/CALR/MPL. A myeloid neoplasm-relevant 27-gene panel was used for next-generation sequencing of bone marrow or whole blood DNA and conventional tools were used for analysis. "Adverse variants/mutations" were identified by age-adjusted multivariable analysis of impact on overall, leukemia-free, or myelofibrosis-free survival. Fifty-three percent of 133 Mayo Clinic patients with PV and 53% of 183 with ET harbored 1 or more sequence variants/mutations other than JAK2/CALR/MPL; the most frequent were TET2 and ASXL1. "Adverse variants/mutations" in PV included ASXL1, SRSF2, and IDH2 and in ET SH2B3, SF3B1, U2AF1, TP53, IDH2, and EZH2; combined prevalence was 15% and 15%, respectively. Adverse variants/mutations were associated with inferior survival in both PV (median, 7.7 vs 16.9 years) and ET (median, 9 vs 22 years) and the effect was independent of conventional prognostic models with respective hazard ratio (95% confidence interval) of 2.8 (1.5-5.1) and 2.6 (1.4-4.8); these observations were validated in 215 Italian patients with PV and 174 with ET. In both Mayo Clinic and Italian cohorts, leukemic or fibrotic progression was also predicted by adverse variants/mutations. Number of mutations did not provide additional prognostic information. We conclude that targeted deep sequencing in PV and ET allows for genetic risk stratification that is independent of clinically derived prognostic models.

Targeted deep sequencing in polycythemia vera and essential thrombocythemia / Tefferi, Ayalew; Lasho, Terra L; Guglielmelli, Paola; Finke, Christy M; Rotunno, Giada; Elala, Yoseph; Pacilli, Annalisa; Hanson, Curtis A; Pancrazzi, Alessandro; Ketterling, Rhett P; Mannarelli, Carmela; Barraco, Daniela; Fanelli, Tiziana; Pardanani, Animesh; Gangat, Naseema; Vannucchi, Alessandro M. - In: BLOOD ADVANCES. - ISSN 2473-9529. - ELETTRONICO. - 1:(2016), pp. 21-30. [10.1182/bloodadvances.2016000216]

Targeted deep sequencing in polycythemia vera and essential thrombocythemia

Guglielmelli, Paola;Rotunno, Giada;Pacilli, Annalisa;Pancrazzi, Alessandro;Mannarelli, Carmela;Fanelli, Tiziana;Vannucchi, Alessandro M
2016

Abstract

Polycythemia vera (PV) is characterized by JAK2 and essential thrombocythemia (ET) by JAK2, calreticulin (CALR), and myeloproliferative leukemia virus oncogene (MPL) mutations; we describe the occurrence and prognostic relevance of DNA sequence variants/mutations other than JAK2/CALR/MPL. A myeloid neoplasm-relevant 27-gene panel was used for next-generation sequencing of bone marrow or whole blood DNA and conventional tools were used for analysis. "Adverse variants/mutations" were identified by age-adjusted multivariable analysis of impact on overall, leukemia-free, or myelofibrosis-free survival. Fifty-three percent of 133 Mayo Clinic patients with PV and 53% of 183 with ET harbored 1 or more sequence variants/mutations other than JAK2/CALR/MPL; the most frequent were TET2 and ASXL1. "Adverse variants/mutations" in PV included ASXL1, SRSF2, and IDH2 and in ET SH2B3, SF3B1, U2AF1, TP53, IDH2, and EZH2; combined prevalence was 15% and 15%, respectively. Adverse variants/mutations were associated with inferior survival in both PV (median, 7.7 vs 16.9 years) and ET (median, 9 vs 22 years) and the effect was independent of conventional prognostic models with respective hazard ratio (95% confidence interval) of 2.8 (1.5-5.1) and 2.6 (1.4-4.8); these observations were validated in 215 Italian patients with PV and 174 with ET. In both Mayo Clinic and Italian cohorts, leukemic or fibrotic progression was also predicted by adverse variants/mutations. Number of mutations did not provide additional prognostic information. We conclude that targeted deep sequencing in PV and ET allows for genetic risk stratification that is independent of clinically derived prognostic models.
2016
1
21
30
Goal 3: Good health and well-being for people
Tefferi, Ayalew; Lasho, Terra L; Guglielmelli, Paola; Finke, Christy M; Rotunno, Giada; Elala, Yoseph; Pacilli, Annalisa; Hanson, Curtis A; Pancrazzi, Alessandro; Ketterling, Rhett P; Mannarelli, Carmela; Barraco, Daniela; Fanelli, Tiziana; Pardanani, Animesh; Gangat, Naseema; Vannucchi, Alessandro M
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1173030
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