A survival prognostic model for high-risk myelodysplastic syndrome patients treated with decitabine

BACKGROUND: Decitabine is widely used in China for high-risk myelodysplastic syndromes (MDS). However, the prognostic factors associated with overall survival (OS) remain incompletely defined. METHODS: We retrospectively analyzed 130 high-risk MDS patients treated with decitabine. Clinical characteristics and laboratory parameters were collected. Treatment response was assessed, and survival outcomes were evaluated using Cox regression models. A prognostic nomogram was developed to improve risk stratification beyond the conventional IPSS/IPSS-R systems. RESULTS: = 0.012) as independent adverse prognostic factors. Poor karyotype also conferred poor outcomes. Next-generation sequencing data were available for 92 patients. Given the low mutation rate, the mutational analysis was conducted exploratorily; results suggested that TP53 mutations were significantly associated with adverse prognosis. A prognostic nomogram integrating age, ECOG score, bone marrow blasts, cytogenetics, hemoglobin, platelet count, absolute neutrophil count, ring sideroblasts, and ferritin demonstrated improved risk stratification, though validation was limited to internal cohorts. CONCLUSION: Decitabine provides short-term hematologic benefits in high-risk MDS, but overall prognosis remains poor. Age, bone marrow blasts, iron overload, and high-risk cytogenetics are key prognostic factors. Incorporating clinical, cytogenetic, and mutational variables into new prognostic models may enhance individualized treatment decision-making for high-risk MDS patients.

Authors

Institutions

Publication Details

Journal
Hematology
Published
2026-04-13
DOI
https://doi.org/10.1080/16078454.2026.2657628
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A survival prognostic model for high-risk myelodysplastic syndrome patients treated with decitabine

Yi Liu, Wei Yansong, Haiyue Niu, L M Xing et al.
Hematology
Acute Myeloid Leukemia Research
article

A survival prognostic model for high-risk myelodysplastic syndrome patients treated with decitabine

Yi Liu, Wei Yansong, Haiyue Niu, L M Xing, Rong Fu, Liyan Yang, Lijuan Li, Huijuan Jiang, Zonghong Shao
article en

Abstract

BACKGROUND: Decitabine is widely used in China for high-risk myelodysplastic syndromes (MDS). However, the prognostic factors associated with overall survival (OS) remain incompletely defined. METHODS: We retrospectively analyzed 130 high-risk MDS patients treated with decitabine. Clinical characteristics and laboratory parameters were collected. Treatment response was assessed, and survival outcomes were evaluated using Cox regression models. A prognostic nomogram was developed to improve risk stratification beyond the conventional IPSS/IPSS-R systems. RESULTS: = 0.012) as independent adverse prognostic factors. Poor karyotype also conferred poor outcomes. Next-generation sequencing data were available for 92 patients. Given the low mutation rate, the mutational analysis was conducted exploratorily; results suggested that TP53 mutations were significantly associated with adverse prognosis. A prognostic nomogram integrating age, ECOG score, bone marrow blasts, cytogenetics, hemoglobin, platelet count, absolute neutrophil count, ring sideroblasts, and ferritin demonstrated improved risk stratification, though validation was limited to internal cohorts. CONCLUSION: Decitabine provides short-term hematologic benefits in high-risk MDS, but overall prognosis remains poor. Age, bone marrow blasts, iron overload, and high-risk cytogenetics are key prognostic factors. Incorporating clinical, cytogenetic, and mutational variables into new prognostic models may enhance individualized treatment decision-making for high-risk MDS patients.

HematologyVol. 31(1)
Capital Medical University (CN), Tianjin Medical University General Hospital (CN), Beijing Friendship Hospital (CN)
National Natural Science Foundation of China
No poverty
Openalex Percentile: Top 24%
Acute Myeloid Leukemia Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.