ArticleOncology letters2018
Integrated bioinformatic analysis of microarray data reveals shared gene signature between MDS and AML.
Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed.
- PRDX1 depletion predisposes to ferroptosis through inhibiting the cAMP pathway in B-cell acute lymphoblastic leukemia.Cancer gene therapy · 2026Article
- Integrated bioinformatics analysis to develop diagnostic models for malignant transformation of chronic proliferative diseases.Blood science (Baltimore, Md.) · 2025Article
- Unravelling Phyto-Compound Therapeutics Against Colorectal Cancer: Targeting SRC proto-oncogene via Fibroblast Growth Factor Signalling Pathway -A Comprehensive Approach Integrating Omics Data Analysis, Network Pharmacology, Virtual Screening, and Molecular Dynamics.Recent advances in food, nutrition & agriculture · 2025Article
- CD79B in myelodysplastic syndromes and acute myeloid leukemia: an integrative computational andFrontiers in medicine · 2025Article
- Analysis of action of 1,4-naphthoquinone scaffold-derived compounds against acute myeloid leukemia based on network pharmacology, molecular docking and molecular dynamics simulation.Scientific reports · 2024Article
- Deciphering molecular heterogeneity in pediatric AML using a cancer vs. normal transcriptomic approach.Pediatric research · 2021Article
- Article
- IGF‑IR promotes clonal cell proliferation in myelodysplastic syndromes via inhibition of the MAPK pathway.Oncology reports · 2020Article
- Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Myeloid disorders, especially myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML), cause significant mobility and high mortality worldwide. Despite numerous attempts, the common molecular events underlying the development of MDS and AML remain to be established. In the present study, 18 microarray datasets were selected, and a meta-analysis was conducted to identify shared gene signatures and biological processes between MDS and AML. Using NetworkAnalyst, 191 upregulated and 139 downregulated genes were identified in MDS and AML, among which,
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