ArticleOncotarget2017
Comprehensive tissue-specific gene set enrichment analysis and transcription factor analysis of breast cancer by integrating 14 gene expression datasets.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 32 citations in OpenAlex.
- An exosome-related gene signature predicts prognosis, immune suppression, and therapeutic sensitivity in luminal breast cancer.Discover oncology · 2026Article
- Zebrafish casr modulates cardiac structure and function.Scientific reports · 2026Article
- The role of basic leucine zipper transcription factor E4BP4 in cancer: a review and update.Molecular biology reports · 2024Review
- Combination of furosemide, gold, and dopamine as a potential therapy for breast cancer.Functional & integrative genomics · 2023Article
- Cell-type-specific epigenomic variations associated withNAR genomics and bioinformatics · 2022Article
- Atoh8 in Development and Disease.Biology · 2022Review
- Bioinformatics Analysis of mRNAs and miRNAs for Identifying Potential Biomarkers in Lung Adenosquamous Carcinoma.Computational and mathematical methods in medicine · 2022Article
- Analysis of Stemness and Prognosis of Subtypes in Breast Cancer Using the Transcriptome Sequencing Data.Journal of oncology · 2022Article
- Lipid metabolism in cancer: A systematic review.Journal of carcinogenesis · 2021Review
- Reduction of T-Box 15 gene expression in tumor tissue is a prognostic biomarker for patients with hepatocellular carcinoma.Oncotarget · 2020Article
- The Potential Therapeutic Role of Exosomal MicroRNA-520b Derived from Normal Fibroblasts in Pancreatic Cancer.Molecular therapy. Nucleic acids · 2020Article
- UGM: a more stable procedure for large-scale multiple testing problems, new solutions to identify oncogene.Theoretical biology & medical modelling · 2019Review
- Comprehensive analysis of the lncRNA‑associated competing endogenous RNA network in breast cancer.Oncology reports · 2019Article
- Integrative analysis of gene expression profiles reveals distinct molecular characteristics in oral tongue squamous cell carcinoma.Oncology letters · 2019Article
- The plasma peptides of breast versus ovarian cancer.Clinical proteomics · 2019Article
- Integrated analysis of 10 lymphoma datasets identifies E2F8 as a key regulator in Burkitt's lymphoma and mantle cell lymphoma.American journal of translational research · 2019Article
- Insights into breast cancer phenotying through molecular omics approaches and therapy response.Cancer drug resistance (Alhambra, Calif.) · 2019Review
- The age-regulated zinc finger factor ZNF367 is a new modulator of neuroblast proliferation during embryonic neurogenesis.Scientific reports · 2018Article
- Comprehensive integrated analysis of gene expression datasets identifies key anti-cancer targets in different stages of breast cancer.Experimental and therapeutic medicine · 2018Article
- Co-expression Network Analysis Identified COL8A1 Is Associated with the Progression and Prognosis in Human Colon Adenocarcinoma.Digestive diseases and sciences · 2018Article
Corrections and comments
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Authors and funding
11 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer is the most commonly diagnosed malignancy in women. Several key genes and pathways have been proven to correlate with breast cancer pathology. This study sought to explore the differences in key transcription factors (TFs), transcriptional regulation networks and dysregulated pathways in different tissues in breast cancer. We employed 14 breast cancer datasets from NCBI-GEO and performed an integrated analysis in three different tissues including breast, blood and saliva. The results showed that there were eight genes (CEBPD, EGR1, EGR2, EGR3, FOS, FOSB, ID1 and NFIL3) down-regulated in breast tissue but up-regulated in blood tissue. Furthermore, we identified several unreported tissue-specific TFs that may contribute to breast cancer, including ATOH8, DMRT2, TBX15 and ZNF367. The dysregulation of these TFs damaged lipid metabolism, development, cell adhesion, proliferation, differentiation and metastasis processes. Among these pathways, the breast tissue showed the most serious impairment and the blood tissue showed a relatively moderate damage, whereas the saliva tissue was almost unaffected. This study could be helpful for future biomarker discovery, drug design, and therapeutic and predictive applications in breast cancers.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.