ArticleOncotarget2016
Genetic scores based on risk-associated single nucleotide polymorphisms (SNPs) can reveal inherited risk of renal cell carcinoma.
Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Risk Prediction Models for Kidney Cancer: A Systematic Review.European urology focus · 2021Pooled it
- Validation ofFrontiers in medicine · 2026Article
- Advances in Exosome Research in Renal Cell Carcinoma: Mechanisms, Biomarkers, and Therapeutic Applications.International journal of nanomedicine · 2026Review
- The current state of genetic risk models for the development of kidney cancer: a review and validation.BJU international · 2022Review
- Current evidence on screening for renal cancer.Nature reviews. Urology · 2020Review
- Single-nucleotide polymorphisms based genetic risk score in the prediction of pancreatic cancer risk.World journal of gastroenterology · 2020Article
- Systematic evaluation of cancer-specific genetic risk score for 11 types of cancer in The Cancer Genome Atlas and Electronic Medical Records and Genomics cohorts.Cancer medicine · 2019Article
- miR-199b-5p serves as a tumor suppressor in renal cell carcinoma.Experimental and therapeutic medicine · 2018Article
- Validation of the novel susceptibility loci for prostate cancer in a Chinese population.Oncology letters · 2018Article
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13 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The objective of this study was to evaluate whether renal cell carcinoma (RCC) risk-associated single nucleotide polymorphisms (SNPs) could reflect the individual inherited risks of RCC. A total of 346 RCC patients and 1,130 controls were recruited in this case-control study. Genetic scores were calculated for each individual based on the odds ratios and frequencies of risk-associated SNPs. Four SNPs were significantly associated with RCC in Chinese population. Two genetic score models were established, genetic score 1 (rs10054504, rs7023329 and rs718314) and genetic score 2 (rs10054504, rs7023329 and rs1049380). For genetic score 1, the individual likelihood of RCC with low (<0.8), medium (0.8-1.2) and high (≥1.2) genetic score 1 was 15.61%, 22.25% and 33.92% respectively (P-trend=6.88×10(-7)). For genetic score 2, individual with low (<0.8), medium (0.8-1.2) and high (≥1.2) genetic score 2 would have likelihood of RCC as 14.39%, 24.54% and 36.48%, respectively (P-trend=1.27×10(-10)). The area under the receiver operating curve (AUC) of genetic score 1 was 0.626, and AUC of genetic score 2 was 0.658. We concluded that genetic score can reveal personal risk and inherited risk of RCC, especially when family history is not available.
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