ArticleDatabase : the journal of biological databases and curation2013
bc-GenExMiner 3.0: new mining module computes breast cancer gene expression correlation analyses.
Article in Database : the journal of biological databases and curation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 177 papers, 2 of them syntheses that pooled it.
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Who cites it
177 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Prognostic role of EGR1 in breast cancer: a systematic review.BMB reports · 2021Pooled it
- Centromere and kinetochore gene misexpression predicts cancer patient survival and response to radiotherapy and chemotherapy.Nature communications · 2016Pooled it
- TheInternational journal of molecular sciences · 2021Trial
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- Outcome prediction of oestrogen receptor-positive breast cancer based on a panel of oestrogen receptor-regulated genes.Histopathology · 2025Article
- Integrating proteomics and bioinformatics for the identification of breast cancer biomarkers interacting with telomeric G-quadruplex.Cancer cell international · 2025Article
- CCR4-NOT Transcription Complex Subunit 7 (CNOT7) Protein and Leukocyte-Associated Immunoglobulin-like Receptor-1 in Breast Cancer Progression: Clinical Mechanistic Insights and In Silico Therapeutic Potential.International journal of molecular sciences · 2025Article
- Comparison Bioinformatic Analysis of Extracellular Vesicles-Related Genes and MicroRNAs in Breast Cancer.International journal of molecular sciences · 2025Article
- cGAS/STING-Independent Induction of Type I Interferon by Inhibitors of the Histone Methylase KDM5B.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025Article
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- Clinical relevance of macromolecular complexes involving integrins, potassium and sodium ion channels and the sodium/proton antiporter in human breast cancer.Cancer cell international · 2025Article
- Unravelling the therapeutic potential of dual TGFβ-1 and CXCR4 inhibition in breast cancer using computational strategies.PloS one · 2025Article
- ALKBH5 Promotes Breast Cancer Stemness Through Regulating Wnt/β-Catenin Signaling.Breast cancer (Dove Medical Press) · 2025Article
- A comprehensive bioinformatic evaluation of the NTRK family's potential as prognostic biomarkers in breast cancer.Bioinformatics advances · 2025Article
- Lactate Dehydrogenase-A-Forming LDH5 Promotes Breast Cancer Progression.Breast cancer (Dove Medical Press) · 2025Article
- Impact of prolactin treatment on enhancing the cellular responses of MCF7 breast cancer cells to tamoxifen treatment.Discover oncology · 2024Article
- Targeting YES1 Disrupts Mitotic Fidelity and Potentiates the Response to Taxanes in Triple-Negative Breast Cancer.Cancer research · 2024Article
117 more citing papers are in PubMed but not listed here.
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Authors and funding
7 authors.
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Abstract
We recently developed a user-friendly web-based application called bc-GenExMiner (http://bcgenex.centregauducheau.fr), which offered the possibility to evaluate prognostic informativity of genes in breast cancer by means of a 'prognostic module'. In this study, we develop a new module called 'correlation module', which includes three kinds of gene expression correlation analyses. The first one computes correlation coefficient between 2 or more (up to 10) chosen genes. The second one produces two lists of genes that are most correlated (positively and negatively) to a 'tested' gene. A gene ontology (GO) mining function is also proposed to explore GO 'biological process', 'molecular function' and 'cellular component' terms enrichment for the output lists of most correlated genes. The third one explores gene expression correlation between the 15 telomeric and 15 centromeric genes surrounding a 'tested' gene. These correlation analyses can be performed in different groups of patients: all patients (without any subtyping), in molecular subtypes (basal-like, HER2+, luminal A and luminal B) and according to oestrogen receptor status. Validation tests based on published data showed that these automatized analyses lead to results consistent with studies' conclusions. In brief, this new module has been developed to help basic researchers explore molecular mechanisms of breast cancer. DATABASE URL: http://bcgenex.centregauducheau.fr
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