IPSS-M Guide: High-level genomic risk stratification. Combines clinical parameters with NGS data. Note: Full IPSS-M calculation requires specialized algorithmic software; this tool highlights the prognostic impact of key genes.
TP53 Allelic State
Other Somatic Mutations
Molecular Risk Impact
Low/Genomic Stable
Favorable molecular profile (no adverse drivers identified).
Guidelines & Evidence
Clinical Details
Section 1
When to Use
When to Use
Refined risk stratification of MDS patients using both clinical and genomic (NGS) data.
Identifying patients with "molecularly high-risk" profile who may be under-scored by IPSS-R.
Predicting survival and AML transformation risk with 2022-standard precision.
Patient Population
Adult patients with newly diagnosed de novo MDS (matched to the Molecular IPSS database).
The "NGS" Requirement
The IPSS-M requires results from a myeloid mutation panel (typically 16-31 genes), including TP53 allelic state, SF3B1, and other common MDS mutations.
Section 2
Formula & Logic
Biological Integration
IPSS-M integrates 5 clinical features (blasts, Hb, PLT, ANC, cyto) with the somatic mutation status of 16 core genes and 15 additional features.
Key Genetic Drivers
TP53 (Multi-hit vs Single-hit): Multi-hit (biallelic) TP53 is the strongest adverse predictor.
SF3B1: Historically associated with "Ring Sideroblasts" and better outcomes, unless associated with adverse mutations.
Section 3
Pearls/Pitfalls
Re-stratification Power
Approximately 46% of patients are re-stratified by IPSS-M compared to IPSS-R. Specifically, many "Intermediate" IPSS-R patients are moved to "High" once their molecular profile is added.
Section 4
Evidence Appraisal
Primary Score
Molecular International Prognostic Scoring System for Myelodysplastic Syndromes.
Bernard E et al. • NEJM Evidence. 2022;1(7). n=2,831 patients.
Developed by an international consortium led by the Memorial Sloan Kettering Cancer Center. It represents the "next generation" of MDS risk assessment, replacing purely morphological systems.