ArticleOncoTargets and therapy2017
Identification and validation of potential prognostic gene biomarkers for predicting survival in patients with acute myeloid leukemia.
Article in OncoTargets and therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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Who cites it
57 citing papers in PubMed.
- Bioinformatics analysis and preliminary clinical validation of ITGA9 and NPTX2 as prognosis-related genes in acute myeloid leukemia.Discover oncology · 2026Article
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- Transmembrane channel-like 5 drives hepatocellular carcinoma progression by regulating epithelial-mesenchymal transition.World journal of clinical oncology · 2025Article
- Unlocking reproducible transcriptomic signatures for acute myeloid leukaemia: Integration, classification and drug repurposing.Journal of cellular and molecular medicine · 2024Article
- Expression signature of ten small nuclear RNAs serves as novel biomarker for prognosis prediction of acute myeloid leukemia.Scientific reports · 2023Article
- Identification of a two metastasis-related prognostic signature in the process of predicting the survival of laryngeal squamous cell carcinoma.Scientific reports · 2023Article
- Characterization of protein-based risk signature to predict prognosis and evaluate the tumor immune environment in breast cancer.Breast cancer (Tokyo, Japan) · 2023Article
- Genetics of enzymatic dysfunctions in metabolic disorders and cancer.Frontiers in oncology · 2023Review
- Integrated bioinformatic analysis of mitochondrial metabolism-related genes in acute myeloid leukemia.Frontiers in immunology · 2023Article
- Mitochondrial gene expression signature predicts prognosis of pediatric acute myeloid leukemia patients.Frontiers in oncology · 2023Article
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- Construction of a solid Cox model for AML patients based on multiomics bioinformatic analysis.Frontiers in oncology · 2022Article
- Expression of basement membrane genes and their prognostic significance in clear cell renal cell carcinoma patients.Frontiers in oncology · 2022Article
- Identification of Melanoma Subsets Based on DNA Methylation Sites and Construction of a Prognosis Evaluation Model.Journal of oncology · 2022Article
- Molecular Characterization, Tumor Microenvironment Association, and Drug Susceptibility of DNA Methylation-Driven Genes in Renal Cell Carcinoma.Frontiers in cell and developmental biology · 2022Article
- Development and validation of a novel N6-methyladenosine (m6A)-related multi- long non-coding RNA (lncRNA) prognostic signature in pancreatic adenocarcinoma.Bioengineered · 2021Article
- Identification of survival-related alternative splicing signatures in acute myeloid leukemia.Bioscience reports · 2021Article
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3 authors.
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Abstract
backgroundMolecular analysis is a promising source of clinically useful prognostic biomarkers. The aim of this investigation was to identify prognostic biomarkers for patients with acute myeloid leukemia (AML) by using the gene expression profile dataset from public database.
methodsThe gene expression profile dataset and corresponding overall survival (OS) information of three cohorts of AML patients from GSE12417 and The Cancer Genome Atlas AML project (TCGA-LAML) were included in the present study. Prognostic gene screening was performed by using a survival package, whereas time-dependent receiver operating characteristic (ROC) curve analysis was performed using the survivalROC package.
resultsIn the three cohorts, 11 genes were identified that were significantly associated with AML OS. A linear prognostic model of the 11 genes was constructed and weighted by regression coefficient (
conclusionOur study has identified an mRNA signature including 11 genes, which may serve as a potential prognostic marker of AML.
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