Literature DB >> 32042081

Prognostic model for newly diagnosed CLL patients in Binet stage A: results of the multicenter, prospective CLL1 trial of the German CLL study group.

Hartmut Döhner1, Stephan Stilgenbauer1, Michael Hallek2, Manuela A Hoechstetter3, Raymonde Busch4, Barbara Eichhorst5, Andreas Bühler6, Dirk Winkler6, Jasmin Bahlo5, Sandra Robrecht5, Michael J Eckart7, Ursula Vehling-Kaiser8, Georg Jacobs9, Ulrich Jäger10, Hans Jürgen Hurtz11, Georg Hopfinger12, Frank Hartmann13, Harald Fuss14, Wolfgang Abenhardt15, Ilona Blau16, Werner Freier17, Lothar Müller18, Maria Goebeler19, Clemens Wendtner3,5, Kirsten Fischer5, Carmen D Herling5, Michael Starck3, Martin Bentz20, Bertold Emmerich21.   

Abstract

The heterogeneity of early stage CLL challenges prognostication, and refinement of prognostic indices for risk-adapted management in this population is essential. The aim of the multicenter, prospective CLL1 trial was to explore a novel prognostic model (CLL1-PM) developed to identify risk groups, separating patients with favorable from others with dismal prognosis. A cohort of 539 clinically, biochemically, and genetically characterized Binet stage A patients were observed until progression, first-line treatment, or death. Multivariate analysis identified six independent factors associated with overall survival (OS) and time-to-first treatment (TTFT): del(17p), unmutated IGHV, del(11q), ß2-microglobulin >3.5 mg/dL, lymphocyte doubling time (LDT) <12 months, and age >60 years. These factors were integrated into the CLL1-PM, which stratified patients into four risk groups. The CLL1-PM was prognostic for OS and TTFT, e.g., the risk of treatment at 5 years was 85.9, 51.8, 27.6, and 11.3% for very low (0-1.5), low (2-4), high (4.5-6.5), and very high-risk (7-14) scores, respectively (P < 0.001). Notably, in addition to factors comprising CLL-IPI, we substantiated del(11q) and LDT as prognostic factors in early CLL. Altogether, our findings would be useful to effectively stratify Binet stage A patients, particularly within the scope of clinical trials evaluating novel agents.

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Year:  2020        PMID: 32042081     DOI: 10.1038/s41375-020-0727-y

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


  1 in total

1.  Elevated serum thymidine kinase levels identify a subgroup at high risk of disease progression in early, nonsmoldering chronic lymphocytic leukemia.

Authors:  M Hallek; I Langenmayer; C Nerl; W Knauf; H Dietzfelbinger; D Adorf; M Ostwald; R Busch; I Kuhn-Hallek; E Thiel; B Emmerich
Journal:  Blood       Date:  1999-03-01       Impact factor: 22.113

  1 in total
  7 in total

1.  Lymphocyte doubling time in chronic lymphocytic leukemia modern era: a real-life study in 848 unselected patients.

Authors:  Tycho Baumann; Riccardo Moia; Gianluca Gaidano; Julio Delgado; Adalgisa Condoluci; Neus Villamor; Anil Babu Payedimarri; Dolors Costa; Andrea Patriarca; Carlos Jiménez-Vicente; Davide Rossi; Emili Montserrat
Journal:  Leukemia       Date:  2021-02-04       Impact factor: 11.528

2.  Landscape of immunoglobulin heavy chain gene repertoire and its clinical relevance to LPL/WM.

Authors:  Jun Wang; Yuting Yan; Wenjie Xiong; Ge Song; Yi Wang; Jiawei Zhao; Yujiao Jia; Chengwen Li; Zhen Yu; Ying Yu; Jiawen Chen; Yang Jiao; Tingyu Wang; Rui Lyu; Qinghua Li; Yueshen Ma; Wei Liu; Dehui Zou; Gang An; Qi Sun; Huijun Wang; Zhijian Xiao; Jianxiang Wang; Lugui Qiu; Shuhua Yi
Journal:  Blood Adv       Date:  2022-07-12

3.  Recurrent XPO1 mutations alter pathogenesis of chronic lymphocytic leukemia.

Authors:  Janek S Walker; Zachary A Hing; Bonnie Harrington; Jordan Baumhardt; Hatice Gulcin Ozer; Amy Lehman; Brian Giacopelli; Larry Beaver; Katie Williams; Jordan N Skinner; Casey B Cempre; Qingxiang Sun; Sharon Shacham; Benjamin R Stromberg; Matthew K Summers; Lynne V Abruzzo; Laura Rassenti; Thomas J Kipps; Sameer Parikh; Neil E Kay; Kerry A Rogers; Jennifer A Woyach; Vincenzo Coppola; Yuh Min Chook; Christopher Oakes; John C Byrd; Rosa Lapalombella
Journal:  J Hematol Oncol       Date:  2021-01-15       Impact factor: 23.168

Review 4.  Immunoglobulin gene sequence analysis in chronic lymphocytic leukemia: the 2022 update of the recommendations by ERIC, the European Research Initiative on CLL.

Authors:  Andreas Agathangelidis; Anastasia Chatzidimitriou; Thomas Chatzikonstantinou; Cristina Tresoldi; Zadie Davis; Véronique Giudicelli; Sofia Kossida; Chrysoula Belessi; Richard Rosenquist; Paolo Ghia; Anton W Langerak; Frédéric Davi; Kostas Stamatopoulos
Journal:  Leukemia       Date:  2022-05-25       Impact factor: 12.883

5.  Time to first treatment and P53 dysfunction in chronic lymphocytic leukaemia: results of the O-CLL1 study in early stage patients.

Authors:  Paola Monti; Marta Lionetti; Giuseppa De Luca; Paola Menichini; Anna Grazia Recchia; Serena Matis; Monica Colombo; Sonia Fabris; Andrea Speciale; Marzia Barbieri; Massimo Gentile; Simonetta Zupo; Mariella Dono; Adalberto Ibatici; Antonino Neri; Manlio Ferrarini; Franco Fais; Gilberto Fronza; Giovanna Cutrona; Fortunato Morabito
Journal:  Sci Rep       Date:  2020-10-28       Impact factor: 4.379

Review 6.  Recent progress of prognostic biomarkers and risk scoring systems in chronic lymphocytic leukemia.

Authors:  Xiaoya Yun; Ya Zhang; Xin Wang
Journal:  Biomark Res       Date:  2020-09-07

7.  Biological significance of monoallelic and biallelic BIRC3 loss in del(11q) chronic lymphocytic leukemia progression.

Authors:  José Luis Ordóñez; Jesús-María Hernández-Rivas; Miguel Quijada-Álamo; María Hernández-Sánchez; Ana-Eugenia Rodríguez-Vicente; Claudia Pérez-Carretero; Alberto Rodríguez-Sánchez; Marta Martín-Izquierdo; Verónica Alonso-Pérez; Ignacio García-Tuñón; José María Bastida; María Jesús Vidal-Manceñido; Josefina Galende; Carlos Aguilar; José Antonio Queizán; Isabel González-Gascón Y Marín; José-Ángel Hernández-Rivas; Rocío Benito
Journal:  Blood Cancer J       Date:  2021-07-09       Impact factor: 11.037

  7 in total

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