Literature DB >> 26416462

Prognosis of long-term survival considering disease-specific death in patients with chronic myeloid leukemia.

M Pfirrmann1, M Baccarani2, S Saussele3, J Guilhot4, F Cervantes5, G Ossenkoppele6, V S Hoffmann1, F Castagnetti2, J Hasford1, R Hehlmann3, B Simonsson7.   

Abstract

In patients with chronic myeloid leukemia (CML), first-line imatinib treatment leads to 8-year overall survival (OS) probabilities above 80%. Many patients die of reasons unrelated to CML. This work tackled the reassessment of prognosis under particular consideration of the probabilities of dying of CML. Analyses were based on 2290 patients with chronic phase CML treated with imatinib in six clinical trials. 'Death due to CML' was defined by death after disease progression. At 8 years, OS was 89%. Of 208 deceased patients, 44% died of CML. Higher age, more peripheral blasts, bigger spleen and low platelet counts were significantly associated with increased probabilities of dying of CML and determined a new long-term survival score with three prognostic groups. Compared with the low-risk group, the patients of the intermediate- and the high-risk group had significantly higher probabilities of dying of CML. The score was successfully validated in an independent sample of 1120 patients. In both samples, the new score differentiated probabilities of dying of CML better than the Sokal, Euro and the European Treatment and Outcome Study (EUTOS) score. The new score identified 61% low-risk patients with excellent long-term outcome and 12% high-risk patients. The new score supports the prospective assessment of long-term antileukemic efficacy and risk-adapted treatment.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 26416462     DOI: 10.1038/leu.2015.261

Source DB:  PubMed          Journal:  Leukemia        ISSN: 0887-6924            Impact factor:   11.528


  28 in total

1.  Non-parametric confidence interval estimation for competing risks analysis: application to contraceptive data.

Authors:  Jahar B Choudhury
Journal:  Stat Med       Date:  2002-04-30       Impact factor: 2.373

2.  Regression modeling of competing risk using R: an in depth guide for clinicians.

Authors:  L Scrucca; A Santucci; F Aversa
Journal:  Bone Marrow Transplant       Date:  2010-01-11       Impact factor: 5.483

3.  Competing risk analysis using R: an easy guide for clinicians.

Authors:  L Scrucca; A Santucci; F Aversa
Journal:  Bone Marrow Transplant       Date:  2007-06-11       Impact factor: 5.483

4.  Model selection in competing risks regression.

Authors:  Deborah Kuk; Ravi Varadhan
Journal:  Stat Med       Date:  2013-02-24       Impact factor: 2.373

5.  The EUTOS population-based registry: incidence and clinical characteristics of 2904 CML patients in 20 European Countries.

Authors:  V S Hoffmann; M Baccarani; J Hasford; D Lindoerfer; S Burgstaller; D Sertic; P Costeas; J Mayer; K Indrak; H Everaus; P Koskenvesa; J Guilhot; G Schubert-Fritschle; F Castagnetti; F Di Raimondo; S Lejniece; L Griskevicius; N Thielen; T Sacha; A Hellmann; A G Turkina; A Zaritskey; A Bogdanovic; Z Sninska; I Zupan; J-L Steegmann; B Simonsson; R E Clark; A Covelli; G Guidi; R Hehlmann
Journal:  Leukemia       Date:  2015-03-18       Impact factor: 11.528

Review 6.  Dangers of using "optimal" cutpoints in the evaluation of prognostic factors.

Authors:  D G Altman; B Lausen; W Sauerbrei; M Schumacher
Journal:  J Natl Cancer Inst       Date:  1994-06-01       Impact factor: 13.506

7.  Prognostic discrimination in "good-risk" chronic granulocytic leukemia.

Authors:  J E Sokal; E B Cox; M Baccarani; S Tura; G A Gomez; J E Robertson; C Y Tso; T J Braun; B D Clarkson; F Cervantes
Journal:  Blood       Date:  1984-04       Impact factor: 22.113

8.  Bosutinib versus imatinib in newly diagnosed chronic-phase chronic myeloid leukemia: results from the BELA trial.

Authors:  Jorge E Cortes; Dong-Wook Kim; Hagop M Kantarjian; Tim H Brümmendorf; Irina Dyagil; Laimonas Griskevicius; Hemant Malhotra; Christine Powell; Karïn Gogat; Athena M Countouriotis; Carlo Gambacorti-Passerini
Journal:  J Clin Oncol       Date:  2012-09-04       Impact factor: 44.544

9.  Nilotinib versus imatinib for newly diagnosed chronic myeloid leukemia.

Authors:  Giuseppe Saglio; Dong-Wook Kim; Surapol Issaragrisil; Philipp le Coutre; Gabriel Etienne; Clarisse Lobo; Ricardo Pasquini; Richard E Clark; Andreas Hochhaus; Timothy P Hughes; Neil Gallagher; Albert Hoenekopp; Mei Dong; Ariful Haque; Richard A Larson; Hagop M Kantarjian
Journal:  N Engl J Med       Date:  2010-06-05       Impact factor: 91.245

10.  Younger patients with chronic myeloid leukemia do well in spite of poor prognostic indicators: results from the randomized CML study IV.

Authors:  Lida Kalmanti; Susanne Saussele; Michael Lauseker; Ulrike Proetel; Martin C Müller; Benjamin Hanfstein; Annette Schreiber; Alice Fabarius; Markus Pfirrmann; Susanne Schnittger; Jolanta Dengler; Christiane Falge; Lothar Kanz; Andreas Neubauer; Frank Stegelmann; Michael Pfreundschuh; Cornelius F Waller; Karsten Spiekermann; Stefan W Krause; Dominik Heim; Christoph Nerl; Dieter K Hossfeld; Hans-Jochem Kolb; Andreas Hochhaus; Joerg Hasford; Rüdiger Hehlmann
Journal:  Ann Hematol       Date:  2013-10-27       Impact factor: 3.673

View more
  64 in total

1.  No influence of BCR-ABL1 transcript types e13a2 and e14a2 on long-term survival: results in 1494 patients with chronic myeloid leukemia treated with imatinib.

Authors:  Markus Pfirrmann; Dobromira Evtimova; Susanne Saussele; Fausto Castagnetti; Francisco Cervantes; Jeroen Janssen; Verena S Hoffmann; Gabriele Gugliotta; Rüdiger Hehlmann; Andreas Hochhaus; Joerg Hasford; Michele Baccarani
Journal:  J Cancer Res Clin Oncol       Date:  2017-01-12       Impact factor: 4.553

Review 2.  Why chronic myeloid leukaemia cannot be cured by tyrosine kinase-inhibitors.

Authors:  Michele Baccarani; Robert Peter Gale
Journal:  Leukemia       Date:  2021-05-17       Impact factor: 11.528

3.  Chronic myeloid leukemia: room for improvement?

Authors:  Michele Baccarani; Fabrizio Pane; Gianantonio Rosti; Domenico Russo; Giuseppe Saglio
Journal:  Haematologica       Date:  2017-07       Impact factor: 9.941

Review 4.  Early Management of CML.

Authors:  Naranie Shanmuganathan; Timothy P Hughes
Journal:  Curr Hematol Malig Rep       Date:  2019-12       Impact factor: 3.952

5.  Innovation in hematology. Perspectives: CML 2016.

Authors:  Rüdiger Hehlmann
Journal:  Haematologica       Date:  2016-06       Impact factor: 9.941

6.  Gene expression signature that predicts early molecular response failure in chronic-phase CML patients on frontline imatinib.

Authors:  Chung H Kok; David T Yeung; Liu Lu; Dale B Watkins; Tamara M Leclercq; Phuong Dang; Verity A Saunders; John Reynolds; Deborah L White; Timothy P Hughes
Journal:  Blood Adv       Date:  2019-05-28

Review 7.  Laying the foundation for genomically-based risk assessment in chronic myeloid leukemia.

Authors:  Susan Branford; Dennis Dong Hwan Kim; Jane F Apperley; Christopher A Eide; Satu Mustjoki; S Tiong Ong; Georgios Nteliopoulos; Thomas Ernst; Charles Chuah; Carlo Gambacorti-Passerini; Michael J Mauro; Brian J Druker; Dong-Wook Kim; Francois-Xavier Mahon; Jorge Cortes; Jerry P Radich; Andreas Hochhaus; Timothy P Hughes
Journal:  Leukemia       Date:  2019-06-17       Impact factor: 11.528

8.  Long-Term Outcomes of Imatinib Treatment for Chronic Myeloid Leukemia.

Authors:  Andreas Hochhaus; Richard A Larson; François Guilhot; Jerald P Radich; Susan Branford; Timothy P Hughes; Michele Baccarani; Michael W Deininger; Francisco Cervantes; Satoko Fujihara; Christine-Elke Ortmann; Hans D Menssen; Hagop Kantarjian; Stephen G O'Brien; Brian J Druker
Journal:  N Engl J Med       Date:  2017-03-09       Impact factor: 91.245

9.  ASXL1 and BIM germ line variants predict response and identify CML patients with the greatest risk of imatinib failure.

Authors:  Justine E Marum; David T Yeung; Leanne Purins; John Reynolds; Wendy T Parker; Doris Stangl; Paul P S Wang; David J Price; Jonathan Tuke; Andreas W Schreiber; Hamish S Scott; Timothy P Hughes; Susan Branford
Journal:  Blood Adv       Date:  2017-07-31

10.  Additional chromosomal abnormalities at chronic myeloid leukemia diagnosis predict an increased risk of progression.

Authors:  Richard E Clark; Jane F Apperley; Mhairi Copland; Silvia Cicconi
Journal:  Blood Adv       Date:  2021-02-23
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.