ArticleJournal of cellular and molecular medicine2019
Identification of a 4-mRNA metastasis-related prognostic signature for patients with breast cancer.
Article in Journal of cellular and molecular medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Effects of nucleic acid metabolism on prognosis and immune invasion of triple-negative breast cancer.Genes and immunity · 2026Article
- Unveiling immune-related gene signatures in triple negative breast cancer through integrated transcriptomic analysis.BioMedicine · 2026Article
- Metastasis-Related Signature for Clinically Predicting Prognosis and Tumor Immune Microenvironment of Osteosarcoma Patients.Molecular biotechnology · 2023Article
- Isoliquiritigenin inhibits circ0030018 to suppress glioma tumorigenesis via the miR-1236/HER2 signaling pathway.MedComm · 2023Article
- Article
- A nomogram for predicting the risk of male breast cancer for overall survival.Frontiers in oncology · 2023Article
- A nomogram based on combining clinical features and contrast enhanced ultrasound is not able to identify Her-2 over-expressing cancer from other breast cancers.Frontiers in oncology · 2023Article
- The Pan-Cancer Multi-Omics Landscape of FOXO Family Relevant to Clinical Outcome and Drug Resistance.International journal of molecular sciences · 2022Article
- CircKIF4A promotes glioma growth and temozolomide resistance by accelerating glycolysis.Cell death & disease · 2022Article
- circEPSTI1 promotes tumor progression and cisplatin resistance via upregulating MSH2 in cervical cancer.Aging · 2022Article
- Prognostic implication and immunotherapy response prediction of a ubiquitination-related gene signature in breast cancer.Frontiers in genetics · 2022Article
- Prognosis of Tumor Microenvironment in Luminal B-Type Breast Cancer.Disease markers · 2022Article
- Integrative multiomics analysis identifies a metastasis-related gene signature and the potential oncogenic role of EZR in breast cancer.Oncology research · 2022Article
- Construction and validation of a prognostic nomogram in metastatic breast cancer patients of childbearing age: A study based on the SEER database and a Chinese cohort.Frontiers in oncology · 2022Article
- A Starvation-Based 9-mRNA Signature Correlates With Prognosis in Patients With Hepatocellular Carcinoma.Frontiers in oncology · 2021Article
- Identification of a prognostic 4-mRNA signature in laryngeal squamous cell carcinoma.Journal of Cancer · 2021Article
- Identification and Validation of a Five-Gene Signature Associated With Overall Survival in Breast Cancer Patients.Frontiers in oncology · 2021Article
- A Novel Platelet-Related Gene Signature for Predicting the Prognosis of Triple-Negative Breast Cancer.Frontiers in cell and developmental biology · 2021Article
- Article
- An immune-related prognostic signature for predicting breast cancer recurrence.Cancer medicine · 2020Article
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9 authors.
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Abstract
Metastasis-related mRNAs have showed great promise as prognostic biomarkers in various types of cancers. Therefore, we attempted to develop a metastasis-associated gene signature to enhance prognostic prediction of breast cancer (BC) based on gene expression profiling. We firstly screened and identified 56 differentially expressed mRNAs by analysing BC tumour tissues with and without metastasis in the discovery cohort (GSE102484, n = 683). We then found 26 of these differentially expressed genes were associated with metastasis-free survival (MFS) in the training set (GSE20685, n = 319). A metastasis-associated gene signature built using a LASSO Cox regression model, which consisted of four mRNAs, can classify patients into high- and low-risk groups in the training cohort. Patients with high-risk scores in the training cohort had shorter MFS (hazard ratio [HR] 3.89, 95% CI 2.53-5.98; P < 0.001), disease-free survival (DFS) (HR 4.69, 2.93-7.50; P < 0.001) and overall survival (HR 4.06, 2.56-6.45; P < 0.001) than patients with low-risk scores. The prognostic accuracy of mRNAs signature was validated in the two independent validation cohorts (GSE21653, n = 248; GSE31448, n = 246). We then developed a nomogram based on the mRNAs signature and clinical-related risk factors (T stage and N stage) that predicted an individual's risk of disease, which can be assessed by calibration curves. Our study demonstrated that this 4-mRNA signature might be a reliable and useful prognostic tool for DFS evaluation and will facilitate tailored therapy for BC patients at different risk of disease.
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