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Novel prognostic scoring system for autologous hematopoietic cell transplantation in multiple myeloma

  • Binod Dhakal
  • , Anita D’Souza
  • , Natalie Callander
  • , Saurabh Chhabra
  • , Raphael Fraser
  • , Omar Davila
  • , Kenneth Anderson
  • , Amer Assal
  • , Sherif M. Badawy
  • , Jesus Berdeja
  • , Jan Cerny
  • , Raymond Comenzo
  • , Rajshekhar Chakraborty
  • , Robert Peter Gale
  • , Rammurti Kamble
  • , Mohamed A. Kharfan-Dabaja
  • , Maxwell Krem
  • , Siddhartha Ganguly
  • , Murali Janakiram
  • , Ankit Kansagra
  • Reinhold Munker, Hemant Murthy, Sagar Patel, Shaji Kumar, Nina Shah, Muzaffar Qazilbash, Parameswaran Hari
  • Medical College of Wisconsin
  • University of Wisconsin-Madison
  • Dana-Farber Cancer Institute
  • Columbia University
  • Children's Memorial Hospital
  • Northwestern University
  • Sarah Cannon Research Institute
  • University of Massachusetts Medical School
  • Tufts-New England Medical Center
  • Cleveland Clinic Foundation
  • Imperial College London
  • Baylor College of Medicine
  • Mayo Clinic Florida
  • University of Louisville Health Care
  • University of Kansas Health System
  • Albert Einstein College of Medicine
  • University of Texas Southwestern Medical Center
  • University of Kentucky
  • University of Utah
  • University of California at San Francisco
  • University of Texas MD Anderson Cancer Center

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

We studied 2,528 patients with upfront autologous haematopoietic cell transplantation (AHCT) for multiple myeloma (MM) from 2008–2017 to develop a prognostic model to predict outcomes. High-risk cytogenetics included t(4;14), t(14;16), t(14;20), del13q on karyotype, del17p, +1q or 1pdel. A Cox model identified factors prognostic of progression/relapse in a training subset (n = 1,246). A weighted score using these factors was assigned to a validation cohort (n = 774). Presence of high-risk cytogenetics [hazard ratio, (HR) 1·68 (1·3–2·17)] and pre-AHCT bone marrow plasma cells (BMPCs) ≥10% [1·68 (1·33–2·12)] were assigned 4 points each; albumin at diagnosis <3·5 g/dl [1·31 (1·07–1·61)] 2; standard risk cytogenetics 1, and no cytogenetics abnormality, BMPCs <10% at AHCT and albumin ≥3·5 g/dl at diagnosis 0 points each. A three-category system with low risk (0–3), intermediate risk (4–8) and high risk (9–10) showed 3-year progression-free survival in the low vs. intermediate vs. high risk of 58% (95% CI: 52–63) vs. 49% (95% CI: 43–56) vs. 31% (95% CI: 12–51), P < 0.001 respectively, and 3-year OS in low vs. intermediate vs. high risk of 88% (95% CI: 84–91) vs. 81% (95% CI: 76–86) vs. 64% (95% CI: 39–80); P < 0·001. Our prognostic scoring system can identify MM patients at risk for early relapse after AHCT.

Original languageEnglish
Pages (from-to)442-452
Number of pages11
JournalBritish Journal of Haematology
Volume191
Issue number3
DOIs
StatePublished - Nov 1 2020

Keywords

  • AHCT
  • MM
  • prognostic scoring system

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