Citations 12
Deep sequencing identifies genetic heterogeneity and recurrent convergent evolution in chronic lymphocytic leukemia
Ojha, Juhi, Ayres-Silva, Jackline de Paula , Secreto, Charla, Tschumper, Renee C. , Rabe, Kari G. , Dyke, Daniel Van, Braggio, Esteban , Tschumper, Renee, Rabe, Kari, Van Dyke, Daniel, Slager, Susan, Dyke, Daniel L. Van , Slager, Susan L. , Shanafelt, Tait D. , Fonseca, Rafaël , Kay, Neil E. , Chaffee, Kari G. , Braggio, Esteban
Blood | November 6, 2014 | Volume: 125 | Issue: 3 | Pages: 492-498
Key Points Deep sequencing identifies a significant reservoir of subclonal mutations affecting key genes in CLL pathogenesis. Convergent evolution of genetic lesions in tumor subclonal populations is recurrently found in CLL.
DIPSS Plus: A Refined Dynamic International Prognostic Scoring System for Primary Myelofibrosis That Incorporates Prognostic Information From Karyotype, Platelet Count, and Transfusion Status
Gangat, Naseema , Caramazza, Domenica , Vaidya, Rakhee , George, Geeta, Begna, Kebede H. , Schwager, Susan M., Dyke, Daniel Van, Hanson, Curtis A. , Wu, Wenting , Pardanani, Animesh , Cervantes, Francisco , Passamonti, Francesco , Tefferi, Ayalew , Dyke, Daniel L. Van , Passamonti, Francesco
Journal of Clinical Oncology | December 13, 2010 | Volume: 29 | Issue: 4 | Pages: 392-397
Purpose The Dynamic International Prognostic Scoring System (DIPSS) for primary myelofibrosis (PMF) uses five risk factors to predict survival: age older than 65 years, hemoglobin lower than 10 g/dL, leukocytes higher than 25 × 10 9 /L, circulating blasts ≥ 1%, and constitutional symptoms. The main objective of this study was to refine DIPSS by incorporating prognostic information from karyotype, platelet count, and transfusion status. Patients and Methods Mayo Clinic databases for PMF were used to identify patients with available bone marrow histologic and cytogenetic information. Results Seven hundred ninety-three consecutive patients were selected and divided into two groups based on whether or not their referral occurred within (n = 428; training set) or after (n = 365; test set) 1 year of diagnosis. Multivariable analysis identified DIPSS, unfavorable karyotype, platelets lower than 100 × 10 9 /L, and transfusion need as independent predictors of inferior survival. Hazard ratio (HR) –weighted adverse points were assigned to these variables to develop a composite prognostic model using the training set. The model was subsequently validated in the test set, and its application to all 793 patients resulted in median survivals of 185, 78, 35, and 16 months for low, intermediate-1 (HR, 2.2; 95% CI, 1.4 to 3.6), intermediate-2 (HR, 4.9; 95% CI, 3.2 to 7.7), and high-risk groups (HR, 10.7; 95% CI, 6.8 to 16.9), respectively (P < .001). Leukemia-free survival was predicted by the presence of thrombocytopenia or unfavorable karyotype (10-year risk of 31% v 12%; HR, 3.3; 95% CI, 1.9 to 5.6). Conclusion DIPSS plus effectively combines prognostic information from DIPSS, karyotype, platelet count, and transfusion status to predict overall survival in PMF. In addition, unfavorable karyotype or thrombocytopenia predicts inferior leukemia-free survival.