Risk Prediction for Clonal Cytopenia: Multicenter Real-World Evidence.
Zhuoer XieRami S KomrokjiNajla Al-AliAlexandra RegelsonSusan GeyerAnand Ashwin PatelCaner SayginAmer M ZeidanJan Philipp BewersdorfLourdes M MendezAshwin KishtagariJoshua F ZeidnerCatherine C CoombsYazan F MadanatStephen S ChungTalha BadarJames M ForanPinkal DesaiCharlton TsaiElizabeth A GriffithsMonzr M Al MalkiIdoroenyi AmanamCatherine E LaiH Joachim DeegLionel AdesCecilia Arana-YiAfaf E G OsmanShira Naomi DinnerYasmin M AbazaJustin TaylorNamrata S ChandhokDeborah SoongAndrew M BrunnerHetty E CarrawayAbhay SinghChiara ElenaJacqueline FerrariAnna GalliSara PozziEric PadronMirinal S PatnaikLuca MalcovatiMichael R SavonaAref A Al-KaliPublished in: Blood (2024)
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 CCUS patients 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 <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 <2.5 points), intermediate- (score 2.5-<5), and high-risk (score ≥5) groups. The CCRS effectively predicted 2-year cumulative incidence of MN for low- (6.4%), intermediate- (14.1%), and high- (37.2%) risk groups, respectively, by Gray's 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.
Keyphrases
- prognostic factors
- end stage renal disease
- clinical trial
- ejection fraction
- chronic kidney disease
- newly diagnosed
- peritoneal dialysis
- emergency department
- randomized controlled trial
- bone marrow
- acute myeloid leukemia
- single molecule
- patient reported outcomes
- deep learning
- room temperature
- dna methylation
- cross sectional
- data analysis
- atomic force microscopy