ArticleMolecular medicine reports2017
Molecular mechanisms of breast cancer metastasis by gene expression profile analysis.
Article in Molecular medicine reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Integrated Analysis of Bulk and Single-Cell Transcriptomics Identifies Prognostic Biomarkers in Breast Cancer Metastasis.Biochemical genetics · 2026Article
- Mean platelet volume-to-albumin ratio as a predictor of pathological complete response in HER2-positive breast cancer undergoing neoadjuvant chemotherapy.Discover oncology · 2026Article
- A 20-feature radiomic signature of triple-negative breast cancer identifies patients at high risk of death.NPJ breast cancer · 2025Article
- The Significant Role of RUNX2 Expression in Women with Metastatic Breast Cancer.Asian Pacific journal of cancer prevention : APJCP · 2025Article
- Potential applications of gene expression profiles obtained from circulating extracellular vesicles in breast cancer.The journal of liquid biopsy · 2025Article
- Association of immune inflammatory biomarkers with pathological complete response and clinical prognosis in young breast cancer patients undergoing neoadjuvant chemotherapy.Frontiers in oncology · 2024Article
- Identification of Hub of the Hub-Genes From Different Individual Studies for Early Diagnosis, Prognosis, and Therapies of Breast Cancer.Bioinformatics and biology insights · 2024Article
- Article
- Robust Identification of Differential Gene Expression Patterns from Multiple Transcriptomics Datasets for Early Diagnosis, Prognosis, and Therapies for Breast Cancer.Medicina (Kaunas, Lithuania) · 2023Article
- Integrative bioinformatics and RNA sequencing based methodology results in the exploration of breast invasive carcinoma biomarkers.American journal of translational research · 2023Article
- Identification and validation of a novel prognostic signature based on transcription factors in breast cancer by bioinformatics analysis.Gland surgery · 2022Article
- Article
- Green Tea Epigallocatechin-3-Gallate Regulates Autophagy in Male and Female Reproductive Cancer.Frontiers in pharmacology · 2022Review
- Transcriptional landscape of cellular networks reveal interactions driving the dormancy mechanisms in cancer.Scientific reports · 2021Article
- New insight into long non-coding RNAs associated with bone metastasis of breast cancer based on an integrated analysis.Cancer cell international · 2021Article
- Understanding the function of the tumor microenvironment, and compounds from marine organisms for breast cancer therapy.World journal of biological chemistry · 2021Review
- A case-only study to identify genetic modifiers of breast cancer risk for BRCA1/BRCA2 mutation carriers.Nature communications · 2021Article
- Identification of the Upregulation of MRPL13 as a Novel Prognostic Marker Associated with Overall Survival Time and Immunotherapy Response in Breast Cancer.Computational and mathematical methods in medicine · 2021Article
- Prognostic Nutritional Index (PNI) in Patients With Breast Cancer Treated With Neoadjuvant Chemotherapy as a Useful Prognostic Indicator.Frontiers in cell and developmental biology · 2021Article
- Integrated Bioinformatics Analysis Reveals Key Candidate Genes and Cytokine Pathways Involved in COVID-19 After Rhinovirus Infection in Asthma Patients.Medical science monitor : international medical journal of experimental and clinical research · 2020Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Metastasis is the main cause of breast cancer‑related mortalities. The present study aimed to uncover the relevant molecular mechanisms of breast cancer metastasis and to explore potential biomarkers that may be used for prognosis. Expression profile microarray data GSE8977, which contained 22 stroma samples (15 were from normal breast and 7 were from invasive ductal carcinoma tumor samples), were obtained from the Gene Expression Omnibus database. Following data preprocessing, differentially expressed genes (DEGs) were selected based on analyses conducted using the linear models for microarray analysis package from R and Bioconductor software. The resulting data were used in subsequent function and pathway enrichment analyses, as well as protein‑protein interaction (PPI) network and subnetwork analyses. Transcription factors (TFs) and tumor‑associated genes were also identified among the DEGs. A total of 234 DEGs were identified, which were enriched in immune response, cell differentiation and cell adhesion‑related functions and pathways. Downregulated DEGs included TFs, such as the proto‑oncogene SPI1, pre‑B‑cell leukemia homeobox 3 (PBX3) and lymphoid enhancer‑binding factor 1 (LEF1), as well as tumor suppressors (TSs), such as capping actin protein, gelsolin like (CAPG) and tumor protein p53‑inducible nuclear protein 1 (TP53INP1). Upregulated DEGs also included TFs and tumor suppressors, consisting of transcription factor 7‑like 2 (TCF7L2) and pleiomorphic adenoma gene‑like 1 (PLAGL1). DEGs that were identified at the hub nodes in the PPI network and the subnetwork were epidermal growth factor receptor (EGFR) and spleen‑associated tyrosine kinase (SYK), respectively. Several genes crucial in the metastasis of breast cancer were identified, which may serve as potential biomarkers, many of which were associated with cell adhesion, proliferation or immune response, and may influence breast cancer metastasis by regulating these function or pathways.
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