ArticleAging2019
Identification of a novel microRNA recurrence-related signature and risk stratification system in breast cancer.
Article in Aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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Who cites it
11 citing papers in PubMed.
- Candidate Biomarkers Associated With Circulating Tumor Cell Status in Metastatic Colorectal Cancer.Journal of clinical laboratory analysis · 2025Article
- Observational
- Prognostic value and immune infiltration of novel signatures in colon cancer microenvironment.Cancer cell international · 2021Article
- CDKN1C as a prognostic biomarker correlated with immune infiltrates and therapeutic responses in breast cancer patients.Journal of cellular and molecular medicine · 2021Article
- Article
- Role of Immune Cell-Specific Hypermethylation Signatures in Classification and Risk Stratification of Breast Cancer.Frontiers in medicine · 2021Article
- Molecular characterization of breast cancer: a potential novel immune-related lncRNAs signature.Journal of translational medicine · 2020Article
- Comprehensive analysis of autophagy-related prognostic genes in breast cancer.Journal of cellular and molecular medicine · 2020Article
- Identification and validation of hub microRNAs dysregulated in esophageal squamous cell carcinoma.Aging · 2020Article
- Article
- Identification of a 5-Gene Metabolic Signature for Predicting Prognosis Based on an Integrated Analysis of Tumor Microenvironment in Lung Adenocarcinoma.Journal of oncology · 2020Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Increasing evidence has revealed that microRNAs (miRNAs) play vital roles in breast cancer (BC) prognosis. Thus, we aimed to identify recurrence-related miRNAs and establish accurate risk stratification system in BC patients. A total of 381 differentially expressed miRNAs were confirmed by analyzing 1044 BC tissues and 102 adjacent normal samples from The Cancer Genome Atlas (TCGA). Then, based on the association between each miRNAs and disease-free survival (DFS), we identified miRNA recurrence-related signature to construct a novel prognostic nomogram using Cox regression model. Target genes of the four miRNAs were analyzed via Gene Ontology and KEGG pathway analyses. Time-dependent receiver operating characteristic analysis indicated that a combination of the miRNA signature and tumor-node-metastasis (TNM) stage had better predictive performance than that of TNM stage (0.710 vs 0.616,
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Registered trials
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