Risk prediction for clonal cytopenia: multicenter real-world evidence.
СтатьяМногоцентровое исследованиеНазвание и аннотация: Перевод в очереди
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Xie Zhuoer, Komrokji Rami, Al Ali Najla, Regelson Alexandra, Geyer Susan, Patel Anand, Saygin Caner, Zeidan Amer M, Bewersdorf Jan Philipp, Mendez Lourdes, Kishtagari Ashwin, Zeidner Joshua F, Coombs Catherine C, Madanat Yazan F, Chung Stephen, Badar Talha, Foran James, Desai Pinkal, Tsai Charlton, Griffiths Elizabeth A, Al Malki Monzr M, Amanam Idoroenyi, Lai Catherine, Deeg H Joachim, Ades Lionel, Arana Yi Cecilia, Osman Afaf E G, Dinner Shira, Abaza Yasmin, Taylor Justin, Chandhok Namrata, Soong Deborah, Brunner Andrew M, Carraway Hetty E, Singh Abhay, Elena Chiara, Ferrari Jacqueline, Gallì Anna, Pozzi Sara, Padron Eric, Patnaik Mrinal M, Malcovati Luca, Savona Michael R, Al-Kali Aref
Аннотация
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.