Skip to main navigation Skip to search Skip to main content

Risk prediction for clonal cytopenia: multicenter real-world evidence

  • Zhuoer Xie
  • , Rami Komrokji
  • , Najla Al Ali
  • , Alexandra Regelson
  • , Susan Geyer
  • , Anand Patel
  • , Caner Saygin
  • , Amer M. Zeidan
  • , Jan Philipp Bewersdorf
  • , Lourdes Mendez
  • , Ashwin Kishtagari
  • , Joshua F. Zeidner
  • , Catherine C. Coombs
  • , Yazan F. Madanat
  • , Stephen Chung
  • , Talha Badar
  • , James Foran
  • , Pinkal Desai
  • , Charlton Tsai
  • , Elizabeth A. Griffiths
  • Monzr M. Al Malki, Idoroenyi Amanam, Catherine Lai, H. Joachim Deeg, Lionel Ades, Cecilia Arana Yi, Afaf E.G. Osman, Shira Dinner, Yasmin Abaza, Justin Taylor, Namrata Chandhok, Deborah Soong, Andrew M. Brunner, Hetty E. Carraway, Abhay Singh, Chiara Elena, Jacqueline Ferrari, Anna Gallì, Sara Pozzi, Eric Padron, Mrinal M. Patnaik, Luca Malcovati, Michael R. Savona, Aref Al-Kali
  • Moffitt Cancer Center
  • Mayo Clinic Rochester, MN
  • The University of Chicago
  • Yale University
  • Memorial Sloan-Kettering Cancer Center
  • Vanderbilt University
  • University of North Carolina at Chapel Hill
  • University of Texas Southwestern Medical Center
  • Mayo Clinic Florida
  • Cornell University
  • City of Hope National Med Center
  • University of Pennsylvania
  • Fred Hutchinson Cancer Research Center
  • Université Paris Cité
  • Mayo Clinic Arizona
  • University of Utah
  • Northwestern University
  • University of Miami
  • Harvard University
  • Cleveland Clinic Foundation
  • IRCCS Fondazione Policlinico San Matteo - Pavia
  • University of Pavia

Research output: Contribution to journalArticlepeer-review

54 Scopus citations

Abstract

Clonal cytopenia of undetermined significance (CCUS) represents a distinct disease entity characterized by myeloid-related somatic mutations with a variant allele fraction of ≥2% in individuals with unexplained cytopenia(s) but without a myeloid neoplasm (MN). Notably, CCUS carries a risk of progressing to MN, particularly in cases featuring high-risk mutations. Understanding CCUS requires dedicated studies to elucidate its risk factors and natural history. Our analysis of 357 patients with CCUS investigated the interplay between clonality, cytopenia, and prognosis. Multivariate analysis identified 3 key adverse prognostic factors: the presence of splicing mutation(s) (score = 2 points), platelet count of <100 × 109/L (score = 2.5), and ≥2 mutations (score = 3). Variable scores were based on the coefficients from the Cox proportional hazards model. This led to the development of the clonal cytopenia risk score (CCRS), which stratified patients into low- (score of <2.5 points), intermediate- (score of 2.5 to <5), and high-risk (score of ≥5) groups. The CCRS effectively predicted 2-year cumulative incidence of MN for low- (6.4%), intermediate- (14.1%), and high-risk (37.2%) groups, respectively, by the Gray test (P < .0001). We further validated the CCRS by applying it to an independent CCUS cohort of 104 patients, demonstrating a c-index of 0.64 (P = .005) in stratifying the cumulative incidence of MN. Our study underscores the importance of integrating clinical and molecular data to assess the risk of CCUS progression, making the CCRS a valuable tool that is practical and easily calculable. These findings are clinically relevant, shaping the management strategies for CCUS and informing future clinical trial designs.

Original languageEnglish
Pages (from-to)2033-2044
Number of pages12
JournalBlood
Volume144
Issue number19
DOIs
StatePublished - Nov 7 2024

Fingerprint

Dive into the research topics of 'Risk prediction for clonal cytopenia: multicenter real-world evidence'. Together they form a unique fingerprint.

Cite this