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Article

Integration of genomic and clinical variables improves the prediction of myelodysplastic syndromes to acute myeloid leukaemia transformation and prognosis.

British journal of haematology - 1 Feb 2026

Jin Huimin, Guo Zhen, Zhu Liying, Huang Fei, Wu Yujie, Qiu Hairong, Wang Yan, Gong Yuemin, He Guangsheng, Fan Lei, Shi Zhongxun, Shen Wenyi, Qiao Chun

Abstract excerpt

Myelodysplastic syndromes (MDS) are heterogeneous stem cell disorders with a 30%-40% risk of transformation to acute myeloid leukaemia (AML). This study characterised the genetic and clinicopathological features of 437 newly diagnosed MDS patients. A predictive model for AML transformation was developed, which identified the bone marrow blast percentage, KRAS, STAG2 and TP53 mutations as significant predictors of...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

Identifiers

PMID: 41386566
DOI: 10.1111/bjh.70284

Genes

TP53
BCOR
ETV6
JAK2
NF1
SF3B1
TET2
CALR
CSF3R
DNMT3A
GATA2
IDH2
KRAS
SRSF2
STAG2
STAT3

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

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