Literature DB >> 25064370

A prognostic algorithm including a modified version of MD Anderson Cancer Center (MDACC) score predicts time to first treatment of patients with clinical monoclonal lymphocytosis (cMBL)/Rai stage 0 chronic lymphocytic leukemia (CLL).

Stefano Molica1, Diana Giannarelli, Luciano Levato, Rosanna Mirabelli, Massimo Gentile, Mirella Lentini, Fortunato Morabito.   

Abstract

We propose an algorithm based on a slightly modified version of MD Anderson Cancer Center (MDACC) score (i.e., mutational status of IgVH, LDH, presence of high-risk FISH abnormalities), β2-microglobulin and separation of clinical monoclonal B-cell lymphocytosis (cMBL) from chronic lymphocytic leukemia (CLL) to predict time to first treatment (TTFT) of a prospective multicentre cohort including 83 cMBL and 136 CLL Rai stage 0 patients. Patients with MDACC score point ≥38, at any level of β2-microglobulin and irrespective of whether they fulfilled 2008 International Workshop on CLL (IWCLL) criteria for CLL Rai stage 0 or cMBL, experienced the worst clinical outcome (5-year TTFT, 24%) and formed the high-risk group. In contrast, subjects with a diagnosis of cMBL, MDACC score point <38 and β2-microglobulin ≤ UNL had the best clinical outcome (5-year TTFT, 100%) and constituted the low-risk group. The intermediate group included patients in Rai stage 0, MDACC score point <38, and any level of β2-microglobulin, and patients with cMBL, MDACC score point <38, and β2-microglobulin ≥ UNL. Cases showing these features can be grouped together to form the intermediate-risk group (5-year TTFT, 65%). Although the separation between cMBL and Rai stage 0, as proposed by the 2008 IWCLL guidelines, has clinical implications, the model we propose may help to classify patients with cMBL and Rai stage 0 into more precise subgroups suggesting that a prognostic separation of these entities based solely on clonal B-cell threshold may be unsatisfactory.

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Year:  2014        PMID: 25064370     DOI: 10.1007/s12185-014-1634-7

Source DB:  PubMed          Journal:  Int J Hematol        ISSN: 0925-5710            Impact factor:   2.490


  26 in total

1.  Analysis of SF3B1 mutations in monoclonal B-cell lymphocytosis.

Authors:  Mariangela Greco; Daniela Capello; Alessio Bruscaggin; Valeria Spina; Silvia Rasi; Sara Monti; Carmela Ciardullo; Stefania Cresta; Marco Fangazio; Gianluca Gaidano; Robin Foà; Davide Rossi
Journal:  Hematol Oncol       Date:  2012-03-29       Impact factor: 5.271

2.  Analysis of NOTCH1 mutations in monoclonal B-cell lymphocytosis.

Authors:  Silvia Rasi; Sara Monti; Valeria Spina; Robin Foà; Gianluca Gaidano; Davide Rossi
Journal:  Haematologica       Date:  2011-10-11       Impact factor: 9.941

3.  Differentiating chronic lymphocytic leukemia from monoclonal B-lymphocytosis according to clinical outcome: on behalf of the GIMEMA chronic lymphoproliferative diseases working group.

Authors:  Stefano Molica; Francesca R Mauro; Diana Giannarelli; Francesco Lauria; Agostino Cortelezzi; Maura Brugiatelli; Vincenzo Liso; Antonio Cuneo; Robin Foà
Journal:  Haematologica       Date:  2010-10-22       Impact factor: 9.941

4.  The prognosis of clinical monoclonal B cell lymphocytosis differs from prognosis of Rai 0 chronic lymphocytic leukaemia and is recapitulated by biological risk factors.

Authors:  Davide Rossi; Elisa Sozzi; Alessia Puma; Lorenzo De Paoli; Silvia Rasi; Valeria Spina; Alessandro Gozzetti; Maristella Tassi; Emanuele Cencini; Donatella Raspadori; Valeria Pinto; Francesco Bertoni; Valter Gattei; Francesco Lauria; Gianluca Gaidano; Francesco Forconi
Journal:  Br J Haematol       Date:  2009-05-05       Impact factor: 6.998

5.  Prognostic value of miR-155 in individuals with monoclonal B-cell lymphocytosis and patients with B chronic lymphocytic leukemia.

Authors:  Alessandra Ferrajoli; Tait D Shanafelt; Cristina Ivan; Masayoshi Shimizu; Kari G Rabe; Nazila Nouraee; Mariko Ikuo; Asish K Ghosh; Susan Lerner; Laura Z Rassenti; Lianchun Xiao; Jianhua Hu; James M Reuben; Steliana Calin; M James You; John T Manning; William G Wierda; Zeev Estrov; Susan O'Brien; Thomas J Kipps; Michael J Keating; Neil E Kay; George A Calin
Journal:  Blood       Date:  2013-07-02       Impact factor: 22.113

6.  Immunogenetics shows that not all MBL are equal: the larger the clone, the more similar to CLL.

Authors:  Anna Vardi; Antonis Dagklis; Lydia Scarfò; Diane Jelinek; Darren Newton; Fiona Bennett; Julia Almeida; Arancha Rodriguez-Caballero; Sallie Allgood; Mark Lanasa; Agostino Cortelezzi; Ester Orlandi; Silvio Veronese; Marco Montillo; Andy Rawstron; Tait Shanafelt; Alberto Orfao; Kostas Stamatopoulos; Paolo Ghia
Journal:  Blood       Date:  2013-04-17       Impact factor: 22.113

7.  Monoclonal B-cell lymphocytosis is closely related to chronic lymphocytic leukaemia and may be better classified as early-stage CLL.

Authors:  Wolfgang Kern; Ulrike Bacher; Claudia Haferlach; Frank Dicker; Tamara Alpermann; Susanne Schnittger; Torsten Haferlach
Journal:  Br J Haematol       Date:  2012-01-09       Impact factor: 6.998

8.  Guidelines for clinical protocols for chronic lymphocytic leukemia: recommendations of the National Cancer Institute-sponsored working group.

Authors:  B D Cheson; J M Bennett; K R Rai; M R Grever; N E Kay; C A Schiffer; M M Oken; M J Keating; D H Boldt; S J Kempin
Journal:  Am J Hematol       Date:  1988-11       Impact factor: 10.047

9.  Guidelines for the diagnosis and treatment of chronic lymphocytic leukemia: a report from the International Workshop on Chronic Lymphocytic Leukemia updating the National Cancer Institute-Working Group 1996 guidelines.

Authors:  Michael Hallek; Bruce D Cheson; Daniel Catovsky; Federico Caligaris-Cappio; Guillaume Dighiero; Hartmut Döhner; Peter Hillmen; Michael J Keating; Emili Montserrat; Kanti R Rai; Thomas J Kipps
Journal:  Blood       Date:  2008-01-23       Impact factor: 22.113

Review 10.  MBL versus CLL: how important is the distinction?

Authors:  Lydia Scarfò; Claudia Fazi; Paolo Ghia
Journal:  Hematol Oncol Clin North Am       Date:  2013-04       Impact factor: 3.722

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  4 in total

1.  Prognostic signature and clonality pattern of recurrently mutated genes in inactive chronic lymphocytic leukemia.

Authors:  A M Hurtado; T-H Chen-Liang; B Przychodzen; C Hamedi; J Muñoz-Ballester; B Dienes; M D García-Malo; A I Antón; F de Arriba; R Teruel-Montoya; F J Ortuño; V Vicente; J P Maciejewski; A Jerez
Journal:  Blood Cancer J       Date:  2015-08-28       Impact factor: 11.037

2.  Presenting features and treatment outcomes of chronic lymphocytic leukaemia in a resource poor Southern Nigeria.

Authors:  Anazoeze Jude Madu; Kaladada Korubo; Augustine Okoye; Ifeoma Ajuba; Augustine N Duru; Angela O Ugwu; Oji Nnachi; Helen Chioma Okoye
Journal:  Malawi Med J       Date:  2019-06       Impact factor: 0.875

3.  Prognostic models for newly-diagnosed chronic lymphocytic leukaemia in adults: a systematic review and meta-analysis.

Authors:  Nina Kreuzberger; Johanna Aag Damen; Marialena Trivella; Lise J Estcourt; Angela Aldin; Lisa Umlauff; Maria Dla Vazquez-Montes; Robert Wolff; Karel Gm Moons; Ina Monsef; Farid Foroutan; Karl-Anton Kreuzer; Nicole Skoetz
Journal:  Cochrane Database Syst Rev       Date:  2020-07-31

4.  A laboratory-based scoring system predicts early treatment in Rai 0 chronic lymphocytic leukemia.

Authors:  Jared A Cohen; Francesca Maria Rossi; Antonella Zucchetto; Riccardo Bomben; Lodovico Terzi-di-Bergamo; Kari G Rabe; Massimo Degan; Agostino Steffan; Jerry Polesel; Enrico Santinelli; Idanna Innocenti; Giovanna Cutrona; Giovanni D'Arena; Gabriele Pozzato; Francesco Zaja; Annalisa Chiarenza; Davide Rossi; Francesco Di Raimondo; Luca Laurenti; Massimo Gentile; Fortunato Morabito; Antonino Neri; Manlio Ferrarini; Christopher D Fegan; Christopher J Pepper; Giovanni Del Poeta; Sameer A Parikh; Neil E Kay; Valter Gattei
Journal:  Haematologica       Date:  2019-10-03       Impact factor: 9.941

  4 in total

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