23 November 2019 : Clinical Research
Identification of Hub Genes Using Co-Expression Network Analysis in Breast Cancer as a Tool to Predict Different Stages
Yun Fu1ACE*, Qu-Zhi Zhou2BCD, Xiao-Lei Zhang3BC, Zhen-Zhen Wang4BF, Peng Wang1CDFDOI: 10.12659/MSM.919046
Med Sci Monit 2019; 25:8873-8890
Abstract
BACKGROUND: Breast cancer has a high mortality rate and is the most common cancer of women worldwide. Our gene co-expression network analysis identified the genes closely related to the pathological stage of breast cancer.
MATERIAL AND METHODS: We performed weighted gene co-expression network analysis (WGCNA) from the Gene Expression Omnibus (GEO) database, and performed pathway enrichment analysis on genes from significant modules.
RESULTS: A non-metastatic sample (374) of breast cancer from GSE102484 was used to construct the gene co-expression network. All 49 hub genes have been shown to be upregulated, and 19 of the 49 hub genes are significantly upregulated in breast cancer tissue. The roles of the genes CASC5, CKAP2L, FAM83D, KIF18B, KIF23, SKA1, GINS1, CDCA5, and MCM6 in breast cancer are unclear, so in order to better reveal the staging of breast cancer markers, it is necessary to study those hub genes. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes indicated that 49 hub genes were enriched to sister chromatid cohesion, spindle midzone, microtubule motor activity, cell cycle, and something else. Additionally, there is an independent data set – GSE20685 – for module preservation analysis, survival analysis, and gene validation.
CONCLUSIONS: This study identified 49 hub genes that were associated with pathologic stage of breast cancer, 19 of which were significantly upregulated in breast cancer. Risk stratification, therapeutic decision making, and prognosis predication might be improved by our study results. This study provides new insights into biomarkers of breast cancer, which might influence the future direction of breast cancer research.
Keywords: Biological Markers, Genes, abl, Triple Negative Breast Neoplasms, Biomarkers, Tumor, Breast Neoplasms, Databases, Genetic, Gene Expression Profiling, gene ontology, Gene Regulatory Networks
Editorial
01 June 2024 : Editorial
Editorial: Concerns as Highly Pathogenic Avian Influenza (HPAI) Virus of the H5N1 Subtype is Identified in Dairy Cows and Other MammalsDOI: 10.12659/MSM.945315
Med Sci Monit 2024; 30:e945315
In Press
Database Analysis
Enhanced Sweat Biosensing with Thread-Embedded Microfluidic DevicesMed Sci Monit In Press; DOI: 10.12659/MSM.943321
Database Analysis
Comparative Cardiovascular Risks of Febuxostat and Allopurinol in Patients with Diabetes Mellitus and Chron...Med Sci Monit In Press; DOI: 10.12659/MSM.944314
Clinical Research
Trust and Support for Cancer Research Biobanks: Insights from Cancer Patients in PolandMed Sci Monit In Press; DOI: 10.12659/MSM.944263
Clinical Research
Morphological and Dimensional Analysis of the Nasopalatine Canal: Insights from Cone-Beam Computed Tomograp...Med Sci Monit In Press; DOI: 10.12659/MSM.944424
Most Viewed Current Articles
14 Dec 2022 : Clinical Research 1,404,022
Prevalence and Variability of Allergen-Specific Immunoglobulin E in Patients with Elevated Tryptase LevelsDOI :10.12659/MSM.937990
Med Sci Monit 2022; 28:e937990
17 Jan 2024 : Review article 1,343,206
Vaccination Guidelines for Pregnant Women: Addressing COVID-19 and the Omicron VariantDOI :10.12659/MSM.942799
Med Sci Monit 2024; 30:e942799
16 May 2023 : Clinical Research 690,039
Electrophysiological Testing for an Auditory Processing Disorder and Reading Performance in 54 School Stude...DOI :10.12659/MSM.940387
Med Sci Monit 2023; 29:e940387
01 Jan 2022 : Editorial 50,065
Editorial: Current Status of Oral Antiviral Drug Treatments for SARS-CoV-2 Infection in Non-Hospitalized Pa...DOI :10.12659/MSM.935952
Med Sci Monit 2022; 28:e935952