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Article

Combining gene mutation with gene expression data improves outcome prediction in myelodysplastic syndromes.

Nature communications - 9 Jan 2015

Gerstung Moritz, Pellagatti Andrea, Malcovati Luca, Giagounidis Aristoteles, Porta Matteo G Della, Jädersten Martin, Dolatshad Hamid, Verma Amit, Cross Nicholas C P, Vyas Paresh, Killick Sally, Hellström-Lindberg Eva, Cazzola Mario, Papaemmanuil Elli, Campbell Peter J, Boultwood Jacqueline

Abstract excerpt

Cancer is a genetic disease, but two patients rarely have identical genotypes. Similarly, patients differ in their clinicopathological parameters, but how genotypic and phenotypic heterogeneity are interconnected is not well understood. Here we build statistical models to disentangle the effect o...

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Share to Enhancer of Zeste Homolog 2 Protein
Share to Gene Expression Profiling

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Expression Regulation, Leukemic

Share to Leukemia, Myeloid, Acute

Share to Myelodysplastic Syndromes

Share to Polycomb Repressive Complex 2

Share to Repressor Proteins

Share to Treatment Outcome

Source

Open in PubMed Open full text

Identifiers

PMID: 25574665
DOI: 10.1038/ncomms6901
PMCID: PMC4338540

Genes

ASXL1

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-25574665-2026-09-04.2. Manifest publication-graph-cohort-2026-09-04.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 4 Sept 2026.

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