Literature DB >> 31109827

Prognostic risk score for patients with relapsed or refractory chronic lymphocytic leukaemia treated with targeted therapies or chemoimmunotherapy: a retrospective, pooled cohort study with external validations.

Jacob D Soumerai1, Ai Ni2, Mohamed Darif3, Anil Londhe3, Guan Xing4, Yong Mun5, Neil E Kay6, Tait D Shanafelt7, Kari G Rabe6, John C Byrd8, Asher A Chanan-Khan9, Richard R Furman10, Peter Hillmen11, Jeffrey Jones8, John F Seymour12, Jeffrey P Sharman13, Lucille Ferrante3, Mehrdad Mobasher5, Thomas Stark5, Vijay Reddy14, Lyndah K Dreiling4, Pankaj Bhargava4, Angela Howes3, Danelle F James2, Andrew D Zelenetz2.   

Abstract

BACKGROUND: Clinically validated prognostic models for overall survival do not exist for patients with relapsed or refractory chronic lymphocytic leukaemia (CLL) who are on targeted therapies. We aimed to create a prognostic model to identify high-risk individuals who do not achieve a good outcome with available targeted therapies.
METHODS: In this retrospective, pooled cohort study, 2475 patients with CLL treated between June 22, 2012, and Sept 23, 2015, in six randomised trials of ibrutinib, idelalisib, and venetoclax, or at the Mayo Clinic CLL Database (MCCD) were included. Eligible patients had CLL, were previously treated, were aged 18 years or older, had ECOG performance status 0-1, and required further treatment as per the international workshop on CLL 2008 criteria. There was heterogeneity in other eligibility criteria. We evaluated 28 candidate factors known to affect the overall survival of these patients and applied univariate and multivariate analyses to derive the risk score in a training dataset (n=727) of patients treated with ibrutinib or chemoimmunotherapy. We validated the score in an internal-validation dataset (n=242) of patients treated with ibrutinib or chemoimmunotherapy and three external-validation datasets (idelalisib or chemoimmunotherapy dataset, n=897; venetoclax or chemoimmunotherapy dataset, n=389; and the MCCD [including patients treated with heterogeneous therapies], n=220), applying C-statistics as a measure of discrimination.
FINDINGS: The derived model consisted of four factors (one point each; serum β2-microglobulin ≥5 mg/dL, lactate dehydrogenase >upper limit of normal, haemoglobin <110 g/L for women or <120 g/L for men, and time from initiation of last therapy <24 months), separating patients into low (score 0-1), intermediate (score 2-3), and high risk (score 4) groups. The risk score was prognostic for overall survival in the training dataset (CS=0·74, 95% CI 0·60-0·85, log-rank p<0·0001), and in the internal-validation (CS=0·79, 0·56-0·97, log-rank p=0·0003), and all three external-validation cohorts (idelalisib or chemoimmunotherapy: CS=0·71, 0·59-0·81, log-rank p<0·0001; venetoclax or chemoimmunotherapy: CS =0·76, 0·66-0·85, log-rank p=0·014; MCCD cohort: CS=0·61, 0·56-0·66), log-rank p<0·0001). The risk score is available on Calculate by QxMD.
INTERPRETATION: We present the first validated risk score to predict overall survival in patients with relapsed or refractory CLL treated with targeted therapy. The model is applicable to patients treated with all currently approved targeted therapies (ibrutinib, idelalisib, and venetoclax) and chemoimmunotherapy. This tool allows the identification of a well defined cohort of previously treated patients with CLL who are at high risk of death, and could be used in future prospective trials to test therapeutic options for these patients with an unmet clinical need. FUNDING: Lymphoma Research Foundation, Lymphoma Research Fund (Andrew D Zelenetz), and National Institutes of Health/National Cancer Institute.
Copyright © 2019 Elsevier Ltd. All rights reserved.

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Year:  2019        PMID: 31109827      PMCID: PMC6620111          DOI: 10.1016/S2352-3026(19)30085-7

Source DB:  PubMed          Journal:  Lancet Haematol        ISSN: 2352-3026            Impact factor:   18.959


  31 in total

1.  Clinical staging of chronic lymphocytic leukemia.

Authors:  K R Rai; A Sawitsky; E P Cronkite; A D Chanana; R N Levy; B S Pasternack
Journal:  Blood       Date:  1975-08       Impact factor: 22.113

2.  ZAP-70 compared with immunoglobulin heavy-chain gene mutation status as a predictor of disease progression in chronic lymphocytic leukemia.

Authors:  Laura Z Rassenti; Lang Huynh; Tracy L Toy; Liguang Chen; Michael J Keating; John G Gribben; Donna S Neuberg; Ian W Flinn; Kanti R Rai; John C Byrd; Neil E Kay; Andrew Greaves; Arthur Weiss; Thomas J Kipps
Journal:  N Engl J Med       Date:  2004-08-26       Impact factor: 91.245

3.  Using the outcome for imputation of missing predictor values was preferred.

Authors:  Karel G M Moons; Rogier A R T Donders; Theo Stijnen; Frank E Harrell
Journal:  J Clin Epidemiol       Date:  2006-06-19       Impact factor: 6.437

4.  Multiple imputation of discrete and continuous data by fully conditional specification.

Authors:  Stef van Buuren
Journal:  Stat Methods Med Res       Date:  2007-06       Impact factor: 3.021

5.  Genomic aberrations and survival in chronic lymphocytic leukemia.

Authors:  H Döhner; S Stilgenbauer; A Benner; E Leupolt; A Kröber; L Bullinger; K Döhner; M Bentz; P Lichter
Journal:  N Engl J Med       Date:  2000-12-28       Impact factor: 91.245

6.  Ig V gene mutation status and CD38 expression as novel prognostic indicators in chronic lymphocytic leukemia.

Authors:  R N Damle; T Wasil; F Fais; F Ghiotto; A Valetto; S L Allen; A Buchbinder; D Budman; K Dittmar; J Kolitz; S M Lichtman; P Schulman; V P Vinciguerra; K R Rai; M Ferrarini; N Chiorazzi
Journal:  Blood       Date:  1999-09-15       Impact factor: 22.113

7.  Unmutated Ig V(H) genes are associated with a more aggressive form of chronic lymphocytic leukemia.

Authors:  T J Hamblin; Z Davis; A Gardiner; D G Oscier; F K Stevenson
Journal:  Blood       Date:  1999-09-15       Impact factor: 22.113

8.  Prognostic nomogram and index for overall survival in previously untreated patients with chronic lymphocytic leukemia.

Authors:  William G Wierda; Susan O'Brien; Xuemei Wang; Stefan Faderl; Alessandra Ferrajoli; Kim-Anh Do; Jorge Cortes; Deborah Thomas; Guillermo Garcia-Manero; Charles Koller; Miloslav Beran; Francis Giles; Farhad Ravandi; Susan Lerner; Hagop Kantarjian; Michael Keating
Journal:  Blood       Date:  2007-02-13       Impact factor: 22.113

9.  Comprehensive assessment of genetic and molecular features predicting outcome in patients with chronic lymphocytic leukemia: results from the US Intergroup Phase III Trial E2997.

Authors:  Michael R Grever; David M Lucas; Gordon W Dewald; Donna S Neuberg; John C Reed; Shinichi Kitada; Ian W Flinn; Martin S Tallman; Frederick R Appelbaum; Richard A Larson; Elisabeth Paietta; Diane F Jelinek; John G Gribben; John C Byrd
Journal:  J Clin Oncol       Date:  2007-02-05       Impact factor: 44.544

10.  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

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1.  CD49d promotes disease progression in chronic lymphocytic leukemia: new insights from CD49d bimodal expression.

Authors:  Erika Tissino; Federico Pozzo; Dania Benedetti; Chiara Caldana; Tamara Bittolo; Francesca Maria Rossi; Riccardo Bomben; Paola Nanni; Hillarj Chivilò; Ilaria Cattarossi; Eva Zaina; Kevin Norris; Jerry Polesel; Massimo Gentile; Giovanni Tripepi; Riccardo Moia; Enrico Santinelli; Idanna Innocenti; Jacopo Olivieri; Giovanni D'Arena; Luca Laurenti; Francesco Zaja; Gabriele Pozzato; Annalisa Chiarenza; Francesco Di Raimondo; Davide Rossi; Chris Pepper; Tanja Nicole Hartmann; Gianluca Gaidano; Giovanni Del Poeta; Valter Gattei; Antonella Zucchetto
Journal:  Blood       Date:  2020-04-09       Impact factor: 22.113

2.  Prognostic Values of Preoperative Inflammatory and Nutritional Markers for Colorectal Cancer.

Authors:  Nannan Zhang; Feilong Ning; Rui Guo; Junpeng Pei; Yun Qiao; Jin Fan; Bo Jiang; Yanlong Liu; Zhaocheng Chi; Zubing Mei; Masanobu Abe; Ji Zhu; Rui Zhang; Chundong Zhang
Journal:  Front Oncol       Date:  2020-11-03       Impact factor: 6.244

3.  The Chronic Lymphocytic Leukemia Comorbidity Index (CLL-CI): A Three-Factor Comorbidity Model.

Authors:  Max J Gordon; Andy Kaempf; Byung Park; Alexey V Danilov; Andrea Sitlinger; Geoffrey Shouse; Matthew Mei; Danielle M Brander; Tareq Salous; Brian T Hill; Hamood Alqahtani; Michael Choi; Michael C Churnetski; Jonathon B Cohen; Deborah M Stephens; Tanya Siddiqi; Xavier Rivera; Daniel Persky; Paul Wisniewski; Krish Patel; Mazyar Shadman
Journal:  Clin Cancer Res       Date:  2021-06-24       Impact factor: 12.531

4.  Clinical Outcomes in Patients with Multi-Hit TP53 Chronic Lymphocytic Leukemia Treated with Ibrutinib.

Authors:  Inhye E Ahn; Carsten U Niemann; Christian Brieghel; Kathrine Aarup; Mathias H Torp; Michael A Andersen; Christina W Yde; Xin Tian; Adrian Wiestner
Journal:  Clin Cancer Res       Date:  2021-05-07       Impact factor: 13.801

5.  Is BTKi or BCL2i preferable as first novel therapy in patients with CLL? The case for BCL2i.

Authors:  John F Seymour
Journal:  Blood Adv       Date:  2022-02-22

Review 6.  Targeting Bruton's Tyrosine Kinase in CLL.

Authors:  Inhye E Ahn; Jennifer R Brown
Journal:  Front Immunol       Date:  2021-06-23       Impact factor: 7.561

Review 7.  Resistance to Bruton tyrosine kinase inhibitors: the Achilles heel of their success story in lymphoid malignancies.

Authors:  Deborah M Stephens; John C Byrd
Journal:  Blood       Date:  2021-09-30       Impact factor: 25.476

8.  Validation of a survival-risk score (SRS) in relapsed/refractory CLL patients treated with idelalisib-rituximab.

Authors:  Massimo Gentile; Enrica Antonia Martino; Andrea Visentin; Marta Coscia; Gianluigi Reda; Paolo Sportoletti; Francesca Romana Mauro; Luca Laurenti; Marzia Varettoni; Roberta Murru; Annalisa Chiarenza; Ernesto Vigna; Francesco Mendicino; Eugenio Lucia; Sabrina Bossio; Anna Grazia Recchia; Riccardo Moia; Daniela Pietrasanta; Giacomo Loseto; Ugo Consoli; Ilaria Scortechini; Francesca Maria Rossi; Antonella Zucchetto; Hamdi Al-Janazreh; Candida Vitale; Giovanni Tripepi; Graziella D'Arrigo; Ilaria Angeletti; Riccardo Bomben; Antonino Neri; Giovanna Cutrona; Gilberto Fronza; Francesco Di Raimondo; Gianluca Gaidano; Antonio Cuneo; Robin Foà; Manlio Ferrarini; Livio Trentin; Valter Gattei; Fortunato Morabito
Journal:  Blood Cancer J       Date:  2020-09-16       Impact factor: 11.037

Review 9.  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

10.  Prediction of Outcome in Patients With Chronic Lymphocytic Leukemia Treated With Ibrutinib: Development and Validation of a Four-Factor Prognostic Model.

Authors:  Inhye E Ahn; Xin Tian; David Ipe; Mei Cheng; Maher Albitar; L Claire Tsao; Lei Zhang; Wanlong Ma; Sarah E M Herman; Erika M Gaglione; Susan Soto; James P Dean; Adrian Wiestner
Journal:  J Clin Oncol       Date:  2020-10-07       Impact factor: 44.544

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