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Unbiased Deep Sequencing of RNA Viruses from Clinical Samples
Published on: July 2, 2016
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Targeted deep sequencing in polycythemia vera and essential thrombocythemia
Ayalew Tefferi1, Terra L Lasho1, Paola Guglielmelli2
1Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN.
Blood Advances
|January 4, 2018
Summary
Genetic mutations beyond JAK2, CALR, and MPL in polycythemia vera (PV) and essential thrombocythemia (ET) impact survival. Identifying these adverse variants aids in risk stratification for better patient outcomes.
Area of Science:
- Hematology
- Oncology
- Genetics
Background:
- Polycythemia vera (PV) and essential thrombocythemia (ET) are myeloproliferative neoplasms.
- These conditions are often characterized by mutations in JAK2, CALR, and MPL genes.
- The prognostic significance of other genetic variants in PV and ET requires further investigation.
Purpose of the Study:
- To identify and evaluate the prognostic relevance of DNA sequence variants/mutations other than JAK2, CALR, and MPL in patients with PV and ET.
- To determine if these additional mutations impact overall survival, leukemia-free survival, and myelofibrosis-free survival.
- To assess the utility of targeted deep sequencing for genetic risk stratification in PV and ET.
Main Methods:
- Next-generation sequencing of a 27-gene panel was performed on bone marrow or whole blood DNA from patients with PV and ET.
- Age-adjusted multivariable analysis was used to identify "adverse variants/mutations" impacting survival.
- The findings were validated in independent patient cohorts from Mayo Clinic and Italy.
Main Results:
- Over half of PV and ET patients harbored mutations other than JAK2/CALR/MPL, with TET2 and ASXL1 being most frequent.
- "Adverse variants/mutations" (e.g., ASXL1, SRSF2, IDH2 in PV; SH2B3, SF3B1, U2AF1, TP53, IDH2, EZH2 in ET) were identified in 15% of each cohort.
- These adverse mutations were associated with significantly inferior survival (PV: 7.7 vs 16.9 years; ET: 9 vs 22 years) and predicted leukemic or fibrotic progression, independent of conventional models.
Conclusions:
- Targeted deep sequencing reveals additional genetic variants in PV and ET that carry prognostic significance.
- Identification of these adverse mutations allows for genetic risk stratification independent of current clinical models.
- This approach can improve prognostic accuracy and guide treatment strategies for patients with PV and ET.
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