ArticleBMC genomics2014
Key regulators in prostate cancer identified by co-expression module analysis.
Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.
What it found
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Who cites it
22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.
- Gastric Cancer Associated Genes Identified by an Integrative Analysis of Gene Expression Data.BioMed research international · 2017Pooled it
- Identification of novel therapeutic target genes in acquired lapatinib-resistant breast cancer by integrative meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016Pooled it
- Article
- Integrated transcriptomic analysis of human induced pluripotent stem cell-derived osteogenic differentiation reveals a regulatory role of KLF16.bioRxiv : the preprint server for biology · 2025Article
- Untousling the Role of Tousled-like Kinase 1 in DNA Damage Repair.International journal of molecular sciences · 2023Review
- Targeting Prostate Cancer, the 'Tousled Way'.International journal of molecular sciences · 2023Review
- TLK1-mediated MK5-S354 phosphorylation drives prostate cancer cell motility and may signify distinct pathologies.Molecular oncology · 2022Article
- MicroRNA-15a promotes prostate cancer cell ferroptosis by inhibiting GPX4 expression.Oncology letters · 2022Article
- Tousled-like kinase 1: a novel factor with multifaceted role in mCRPC progression and development of therapy resistance.Cancer drug resistance (Alhambra, Calif.) · 2022Review
- Natural Product-Based Studies for the Management of Castration-Resistant Prostate Cancer: Computational to Clinical Studies.Frontiers in pharmacology · 2021Review
- Data-driven translational prostate cancer research: from biomarker discovery to clinical decision.Journal of translational medicine · 2020Review
- Targeting the TLK1/NEK1 DDR axis with Thioridazine suppresses outgrowth of androgen independent prostate tumors.International journal of cancer · 2019Article
- A Convergent Study of Genetic Variants Associated With Crohn's Disease: Evidence From GWAS, Gene Expression, Methylation, eQTL and TWAS.Frontiers in genetics · 2019Article
- Mutation pattern analysis reveals polygenic mini-drivers associated with relapse after surgery in lung adenocarcinoma.Scientific reports · 2018Article
- Prediction of microRNA-disease associations based on distance correlation set.BMC bioinformatics · 2018Article
- Pan-organ transcriptome variation across 21 cancer types.Oncotarget · 2017Article
- Diagnostic MicroRNA Biomarker Discovery for Non-Small-Cell Lung Cancer Adenocarcinoma by Integrative Bioinformatics Analysis.BioMed research international · 2017Article
- Mining kidney toxicogenomic data by using gene co-expression modules.BMC genomics · 2016Article
- Article
- Differential Regulatory Analysis Based on Coexpression Network in Cancer Research.BioMed research international · 2016Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundProstate cancer (PrCa) is the most commonly diagnosed cancer in men in the world. Despite the fact that a large number of its genes have been investigated, its etiology remains poorly understood. Furthermore, most PrCa candidate genes have not been rigorously replicated, and the methods by which they biologically function in PrCa remain largely unknown.
resultsAiming to identify key players in the complex prostate cancer system, we reconstructed PrCa co-expressed modules within functional gene sets defined by the Gene Ontology (GO) annotation (biological process, GO_BP). We primarily identified 118 GO_BP terms that were well-preserved between two independent gene expression datasets and a consequent 55 conserved co-expression modules within them. Five modules were then found to be significantly enriched with PrCa candidate genes collected from expression Quantitative Trait Loci (eQTL), somatic copy number alteration (SCNA), somatic mutation data, or prognostic analyses. Specifically, two transcription factors (TFs) (NFAT and SP1) and three microRNAs (hsa-miR-19a, hsa-miR-15a, and hsa-miR-200b) regulating these five candidate modules were found to be critical to the development of PrCa.
conclusionsCollectively, our results indicated that genes with similar functions may play important roles in disease through co-expression, and modules with different functions could be regulated by similar genetic components, such as TFs and microRNAs, in a synergistic manner.
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Registered trials
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.