ArticleJournal of cancer research and clinical oncology2019
Co-expression network analysis identified candidate biomarkers in association with progression and prognosis of breast cancer.
Article in Journal of cancer research and clinical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
13 citing papers in PubMed, 67 citations in OpenAlex.
- Copper Chaperone for Superoxide Dismutase Subtypes as a Prognostic Marker in Luminal B Breast Cancer.Clinical Medicine Insights. Oncology · 2024Article
- Review
- Integrative bioinformatics and RNA sequencing based methodology results in the exploration of breast invasive carcinoma biomarkers.American journal of translational research · 2023Article
- Potential biomarkers of acute myocardial infarction based on co-expression network analysis.Experimental and therapeutic medicine · 2022Article
- Effect of CDCA5 on Proliferation and Metastasis of Triple Negative Breast Cancer Cells under shRNA Interference Technology.Journal of oncology · 2022Article
- Article
- CDCA1/2/3/5/7/8 as novel prognostic biomarkers and CDCA4/6 as potential targets for gastric cancer.Translational cancer research · 2021Article
- Genetic co-expression networks contribute to creating predictive model and exploring novel biomarkers for the prognosis of breast cancer.Scientific reports · 2021Article
- Identification and analysis of genes associated with epithelial ovarian cancer by integrated bioinformatics methods.PloS one · 2021Article
- Article
- Xiaotan Jieyu Prescription Alleviates Breast Precancerous Lesions through PI3K/Akt Signaling Pathway.Evidence-based complementary and alternative medicine : eCAM · 2020Article
- MiR-582-5p Inhibits Bladder Cancer-Genesis by Suppressing TTK Expression.Cancer management and research · 2020Article
- Roles of the CDCA gene family in breast carcinoma.Science progressArticle
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
purposeBreast cancer is one of the most common malignancies among females, and its prognosis is affected by a complex network of gene interactions. Weighted gene co-expression network analysis was used to construct free-scale gene co-expression networks and to identify potential biomarkers for breast cancer progression.
methodsThe gene expression profiles of GSE42568 were downloaded from the Gene Expression Omnibus database. RNA-sequencing data and clinical information of breast cancer from TCGA were used for validation.
resultsA total of ten modules were established by the average linkage hierarchical clustering. We identified 58 network hub genes in the significant module (R
conclusionsAGO2, CDC20, CDCA5, MCM10, MYBL2, and TTK were identified as candidate biomarkers for further basic and clinical research on breast cancer based on co-expression analysis.
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Registered trials
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