ArticlePloS one2013
SNP-SNP interaction network in angiogenesis genes associated with prostate cancer aggressiveness.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.
- The Role of the Metzincin Superfamily in Prostate Cancer Progression: A Systematic-Like Review.International journal of molecular sciences · 2021Pooled it
- Advances in Prostate Cancer Biomarkers and Probes.Cyborg and bionic systems (Washington, D.C.) · 2024Review
- Matrix Metalloproteinases and Glaucoma.Biomolecules · 2022Review
- Cancer Risk Score Prediction Based on a Single-Nucleotide Polymorphism Network.Healthcare informatics research · 2022Article
- Role of mitochondrial genetic interactions in determining adaptation to high altitude human population.Scientific reports · 2022Article
- KLK3 SNP-SNP interactions for prediction of prostate cancer aggressiveness.Scientific reports · 2021Article
- Alcohol Intake and Alcohol-SNP Interactions Associated with Prostate Cancer Aggressiveness.Journal of clinical medicine · 2021Article
- Genetic Polymorphisms ofDisease markers · 2021Article
- Genome-Wide Search for SNP Interactions in GWAS Data: Algorithm, Feasibility, Replication Using Schizophrenia Datasets.Frontiers in genetics · 2020Article
- Interactions ofCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019Article
- The interaction effects between TLR4 and MMP9 gene polymorphisms contribute to aortic aneurysm risk in a Chinese Han population.BMC cardiovascular disorders · 2019Article
- AA9int: SNP interaction pattern search using non-hierarchical additive model set.Bioinformatics (Oxford, England) · 2018Article
- SNP interactions of PGC with its neighbor lncRNAs enhance the susceptibility to gastric cancer/atrophic gastritis and influence the expression of involved molecules.Cancer medicine · 2018Article
- Single-nucleotide polymorphisms of stemness genes predicted to regulate RNA splicing, microRNA and oncogenic signaling are associated with prostate cancer survival.Carcinogenesis · 2018Article
- Impact of SNP-SNP interactions of DNA repair geneWorld journal of gastroenterology · 2018Article
- SNP interaction pattern identifier (SIPI): an intensive search for SNP-SNP interaction patterns.Bioinformatics (Oxford, England) · 2017Article
- Association Study of Polymorphisms of Epidermal Growth Factor and Epidermal Growth Factor Receptor With Benign Prostatic Hyperplasia in a Korean Population.International neurourology journal · 2016Article
- Prostate Cancer in African American Men: The Effect of Androgens and microRNAs on Epidermal Growth Factor Signaling.Hormones & cancer · 2016Review
- Coexpression and expression quantitative trait loci analyses of the angiogenesis gene-gene interaction network in prostate cancer.Translational cancer research · 2016Article
- Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Angiogenesis has been shown to be associated with prostate cancer development. The majority of prostate cancer studies focused on individual single nucleotide polymorphisms (SNPs) while SNP-SNP interactions are suggested having a great impact on unveiling the underlying mechanism of complex disease. Using 1,151 prostate cancer patients in the Cancer Genetic Markers of Susceptibility (CGEMS) dataset, 2,651 SNPs in the angiogenesis genes associated with prostate cancer aggressiveness were evaluated. SNP-SNP interactions were primarily assessed using the two-stage Random Forests plus Multivariate Adaptive Regression Splines (TRM) approach in the CGEMS group, and were then re-evaluated in the Moffitt group with 1,040 patients. For the identified gene pairs, cross-evaluation was applied to evaluate SNP interactions in both study groups. Five SNP-SNP interactions in three gene pairs (MMP16+ ROBO1, MMP16+ CSF1, and MMP16+ EGFR) were identified to be associated with aggressive prostate cancer in both groups. Three pairs of SNPs (rs1477908+ rs1387665, rs1467251+ rs7625555, and rs1824717+ rs7625555) were in MMP16 and ROBO1, one pair (rs2176771+ rs333970) in MMP16 and CSF1, and one pair (rs1401862+ rs6964705) in MMP16 and EGFR. The results suggest that MMP16 may play an important role in prostate cancer aggressiveness. By integrating our novel findings and available biomedical literature, a hypothetical gene interaction network was proposed. This network demonstrates that our identified SNP-SNP interactions are biologically relevant and shows that EGFR may be the hub for the interactions. The findings provide valuable information to identify genotype combinations at risk of developing aggressive prostate cancer and improve understanding on the genetic etiology of angiogenesis associated with prostate cancer aggressiveness.
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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.