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Genotype-phenotype correlations in Chinese von Hippel–Lindau disease patients
von Hippel–Lindau (VHL) disease is caused by mutations in the VHL gene and demonstrates marked phenotypic variability. Genotype-phenotype correlations in Chinese VHL patients have been unclear. To establish genotype-phenotype correlations in Chinese VHL patients, we collected VHL mutations and pheno...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5503545/ https://www.ncbi.nlm.nih.gov/pubmed/28388566 http://dx.doi.org/10.18632/oncotarget.16594 |
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author | Peng, Shuanghe Shepard, Matthew J. Wang, Jiangyi Li, Teng Ning, Xianghui Cai, Lin Zhuang, Zhengping Gong, Kan |
author_facet | Peng, Shuanghe Shepard, Matthew J. Wang, Jiangyi Li, Teng Ning, Xianghui Cai, Lin Zhuang, Zhengping Gong, Kan |
author_sort | Peng, Shuanghe |
collection | PubMed |
description | von Hippel–Lindau (VHL) disease is caused by mutations in the VHL gene and demonstrates marked phenotypic variability. Genotype-phenotype correlations in Chinese VHL patients have been unclear. To establish genotype-phenotype correlations in Chinese VHL patients, we collected VHL mutations and phenotypes of 291 patients with VHL disease from 115 unrelated families. Genotype-phenotype correlations at mutation type level, mutation region level, and mutation codon level were analyzed by Kaplan-Meier curves and Cox regression models. We found missense mutations conferred an increased risk of pheochromocytoma developments, but a decreased risk of central nervous system hemangioblastomas (CHBs) and pancreatic lesions. Patients with VHL deletions were more prone to developing retinal angiomas. Renal cell carcinomas were more frequent in nonsense, frameshift or splice-site mutations. Mutations in Exon 2 conferred a higher risk and earlier diagnostic age of CHBs than mutations in other exons (HR = 1.684, 95% CI 1.082–2.620, p = 0.021; 27.0 ± 9.7 years versus 32.8 ± 11.7 years, p = 0.024), while patients with mutations in Exon 3 were more prone to developing pheochromocytomas (HR = 2.760, 95% CI 1.419–5.370, p = 0.003). Mutations at codon 80 or codon167 conferred significantly higher risks of pheochromocytomas than other mutations (HR = 4.678, 95% CI 1.392–15.724, p = 0.013; HR = 4.683, 95% CI 2.515–8.719, p < 0.001 respectively). In conclusion, VHL mutation types, mutation regions and mutation codons can act as phenotypic predictors of VHL disease. Mutation regions and mutation codons may aid in directed surveillance and monitoring of VHL patients. |
format | Online Article Text |
id | pubmed-5503545 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-55035452017-07-11 Genotype-phenotype correlations in Chinese von Hippel–Lindau disease patients Peng, Shuanghe Shepard, Matthew J. Wang, Jiangyi Li, Teng Ning, Xianghui Cai, Lin Zhuang, Zhengping Gong, Kan Oncotarget Research Paper von Hippel–Lindau (VHL) disease is caused by mutations in the VHL gene and demonstrates marked phenotypic variability. Genotype-phenotype correlations in Chinese VHL patients have been unclear. To establish genotype-phenotype correlations in Chinese VHL patients, we collected VHL mutations and phenotypes of 291 patients with VHL disease from 115 unrelated families. Genotype-phenotype correlations at mutation type level, mutation region level, and mutation codon level were analyzed by Kaplan-Meier curves and Cox regression models. We found missense mutations conferred an increased risk of pheochromocytoma developments, but a decreased risk of central nervous system hemangioblastomas (CHBs) and pancreatic lesions. Patients with VHL deletions were more prone to developing retinal angiomas. Renal cell carcinomas were more frequent in nonsense, frameshift or splice-site mutations. Mutations in Exon 2 conferred a higher risk and earlier diagnostic age of CHBs than mutations in other exons (HR = 1.684, 95% CI 1.082–2.620, p = 0.021; 27.0 ± 9.7 years versus 32.8 ± 11.7 years, p = 0.024), while patients with mutations in Exon 3 were more prone to developing pheochromocytomas (HR = 2.760, 95% CI 1.419–5.370, p = 0.003). Mutations at codon 80 or codon167 conferred significantly higher risks of pheochromocytomas than other mutations (HR = 4.678, 95% CI 1.392–15.724, p = 0.013; HR = 4.683, 95% CI 2.515–8.719, p < 0.001 respectively). In conclusion, VHL mutation types, mutation regions and mutation codons can act as phenotypic predictors of VHL disease. Mutation regions and mutation codons may aid in directed surveillance and monitoring of VHL patients. Impact Journals LLC 2017-03-27 /pmc/articles/PMC5503545/ /pubmed/28388566 http://dx.doi.org/10.18632/oncotarget.16594 Text en Copyright: © 2017 Peng et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Research Paper Peng, Shuanghe Shepard, Matthew J. Wang, Jiangyi Li, Teng Ning, Xianghui Cai, Lin Zhuang, Zhengping Gong, Kan Genotype-phenotype correlations in Chinese von Hippel–Lindau disease patients |
title | Genotype-phenotype correlations in Chinese von Hippel–Lindau disease patients |
title_full | Genotype-phenotype correlations in Chinese von Hippel–Lindau disease patients |
title_fullStr | Genotype-phenotype correlations in Chinese von Hippel–Lindau disease patients |
title_full_unstemmed | Genotype-phenotype correlations in Chinese von Hippel–Lindau disease patients |
title_short | Genotype-phenotype correlations in Chinese von Hippel–Lindau disease patients |
title_sort | genotype-phenotype correlations in chinese von hippel–lindau disease patients |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5503545/ https://www.ncbi.nlm.nih.gov/pubmed/28388566 http://dx.doi.org/10.18632/oncotarget.16594 |
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