ArticleOncotarget2017
Gene regulatory pattern analysis reveals essential role of core transcriptional factors' activation in triple-negative breast cancer.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 19 citations in OpenAlex.
- A chromatin-informed transcriptional regulatory framework to stratify patients and guide therapy selection in triple-negative breast cancer.Nature communications · 2026Article
- Comprehensive metagenomic analysis of the giant panda's oral microbiome reveals distinct taxonomic and functional characteristics.Animal microbiome · 2025Article
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- Transcription factor network analysis based on single cell RNA-seq identifies that Trichostatin-a reverses docetaxel resistance in prostate Cancer.BMC cancer · 2021Article
- From DNA Copy Number Gains and Tumor Dependencies to Novel Therapeutic Targets for High-Risk Neuroblastoma.Journal of personalized medicine · 2021Review
- AKT-mediated phosphorylation of Sox9 induces Sox10 transcription in a murine model of HER2-positive breast cancer.Breast cancer research : BCR · 2021Article
- STAT3 and GR Cooperate to Drive Gene Expression and Growth of Basal-Like Triple-Negative Breast Cancer.Cancer research · 2020Article
- Emerging Role of SOX Proteins in Breast Cancer Development and Maintenance.Journal of mammary gland biology and neoplasia · 2019Review
- FAM175B promotes apoptosis by inhibiting ATF4 ubiquitination in esophageal squamous cell carcinoma.Molecular oncology · 2019Article
- Network Medicine in the Age of Biomedical Big Data.Frontiers in genetics · 2019Review
- Gene regulatory network construction identified NFYA as a diffuse subtype-specific prognostic factor in gastric cancer.International journal of oncology · 2018Article
- Integrative network-based approach identifies central genetic and transcriptomic elements in triple-negative breast cancer.Functional & integrative genomics · 2018Article
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Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTriple-negative breast cancer (TNBC) is an aggressive breast cancer subtype. Genome-scale molecular characteristics and regulatory mechanisms that distinguish TNBC from other subtypes remain incompletely characterized.
resultsBy combining gene expression analysis and PANDA network, we defined three different TF regulatory patterns. A core TNBC-Specific TF Activation Driven Pattern (TNBCac) was specifically identified in TNBC by computational analysis. The essentialness of core TFs (ZEB1, MZF1, SOX10) in TNBC was highlighted and validated by cell proliferation analysis. Furthermore, 13 out of 35 co-targeted genes were also validated to be targeted by ZEB1, MZF1 and SOX10 in TNBC cell lines by real-time quantitative PCR. In three breast cancer cohorts, non-TNBC patients could be stratified into two subgroups by the 35 co-targeted genes along with 5 TFs, and the subgroup that more resembled TNBC had a worse prognosis.
methodsWe constructed gene regulatory networks in breast cancer by Passing Attributes between Networks for Data Assimilation (PANDA). Co-regulatory modules were specifically identified in TNBC by computational analysis, while the essentialness of core translational factors (TF) in TNBC was highlighted and validated by in vitro experiments. Prognostic effects of different factors were measured by Log-rank test and displayed by Kaplan-Meier plots.
conclusionsWe identified a core co-regulatory module specifically existing in TNBC, which enabled subtype re-classification and provided a biologically feasible view of breast cancer.
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