ArticleInternational journal of clinical and experimental pathology2013
Role of two single nucleotide polymorphisms in secreted frizzled related protein 1 and bladder cancer risk.
Article in International journal of clinical and experimental pathology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 16 citations in OpenAlex.
- SFRP2 mediates Epstein-Barr virus and bladder cancer risk: a Mendelian randomization study and colocalization analysis.Scientific reports · 2025Article
- MicroRNA miR-3646 promotes malignancy of lung adenocarcinoma cells by suppressing sorbin and SH3 domain-containing protein 1 via the c-Jun NH2-terminal kinase signaling pathway.Bioengineered · 2022Article
- Harnessing low-density lipoprotein receptor protein 6 (LRP6) genetic variation and Wnt signaling for innovative diagnostics in complex diseases.The pharmacogenomics journal · 2018Review
- Bioinformatics analysis of dysregulated microRNAs in the nipple discharge of patients with breast cancer.Oncology letters · 2017Article
- Association of genetic variations in the Wnt signaling pathway genes with myocardial infarction susceptibility in Chinese Han population.Oncotarget · 2016Article
- miR-3646 promotes cell proliferation, migration, and invasion via regulating G2/M transition in human breast cancer cells.American journal of translational research · 2016Article
- MicroRNA-3646 Contributes to Docetaxel Resistance in Human Breast Cancer Cells by GSK-3β/β-Catenin Signaling Pathway.PloS one · 2016Article
- Cytochrome P450 2E1 RsaI/PstI polymorphism is associated with urologic cancer risk: evidence from a meta-analysis.International journal of clinical and experimental medicine · 2015Article
- Article
- Association of genetic variants in Wnt signaling pathway with tuberculosis in Chinese Han population.PloS one · 2014Article
- Bladder cancer: Micro RNAs as biomolecules for prognostication and surveillance.Indian journal of urology : IJU : journal of the Urological Society of IndiaReview
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Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, we determined the genotype distribution of two single nucleotide polymorphisms (SNPs) in secreted frizzled related protein 1 (SFRP1), rs3242 and rs921142, in a Caucasian bladder cancer case-control study. Allelic variants of the SNPs were determined using restriction fragment length polymorphism (RFLP) analysis and partly verified by sequencing analysis. Overall, DNA from 188 consecutive and 215 early-onset bladder cancer patients (≤45 years) as well as from 332 controls was investigated. Potential microRNA binding sites were determined for rs3242, and microRNA expression was analysed in cell lines and tumour specimens. We observed a remarkable distribution difference in rs3242 between bladder cancer patients and healthy controls (p=0.05). Additionally, we found a significant difference in genotype distribution (p=0.032), resulting from the difference of early-onset patients and the control group (p=0.007). The risk allele T showed increased frequency in the early-onset patient group (p=0.002). Genotype-dependent differences of microRNA binding capacity were predicted in SFRP1 mRNA for two microRNAs. Hsa-miR-3646 showed strong expression in cell lines and tumour tissue, whereas hsa-miR-603 exhibited weak expression. The rs921142 SNP showed no significant association with bladder cancer risk. This is the first study to describe an association of the SFRP1 SNP rs3242 and bladder cancer risk as well as the influence of rs3242 on genotype-dependent microRNA capacity on SFRP1 mRNA. The onset of bladder seems to be associated with the increased occurrence of the T-allele in rs3242.
Indexed as
Identifiers
24133576PMC3796220W36129600What OpenQuestion holds
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.