Prognostic scoring systems and risk stratification in myelodysplastic syndrome: focus on integration of molecular profile

Abstract

Myelodysplastic syndromes (MDS) form a clinically and molecularly heterogeneous disease group. Precise risk stratification remains crucial for choosing optimal management strategies. Several conventional prognostic scoring systems have been developed and validated in the MDS population. These risk models divide patients into prognostic subgroups based on clinical and cytogenetic characteristics. Lack of dynamicity, variable risk estimate across models, and heterogeneity within intermediate-risk group are the limitations of traditional models like IPSS-R, with questionable relevance of these scoring systems in treated MDS patients. Recent progress in next-generation sequencing techniques has improved understanding of the distribution and prognostic importance of recurrent genetic mutations in MDS. Early studies have suggested that incorporating mutations in risk stratification could supplement IPSS-R in further refining the model’s performance in predicting overall survival and risk of transformation to acute myeloid leukemia and should translate into a molecularly driven prognostication approach in the near future.

Keywords:

• IPSS-R
• TP53
• SF3B1
• overall survival
• artificial intelligence
• molecular IPSS

Disclosure statement

No potential conflict of interest was reported by the authors.