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Developing Genetic Epidemiological Models to Predict Risk for Nasopharyngeal Carcinoma in High-Risk Population of China

To date, the only established model for assessing risk for nasopharyngeal carcinoma (NPC) relies on the sero-status of the Epstein-Barr virus (EBV). By contrast, the risk assessment models proposed here include environmental risk factors, family history of NPC, and information on genetic variants. T...

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Autores principales: Ruan, Hong-Lian, Qin, Hai-De, Shugart, Yin Yao, Bei, Jin-Xin, Luo, Fu-Tian, Zeng, Yi-Xin, Jia, Wei-Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3574061/
https://www.ncbi.nlm.nih.gov/pubmed/23457511
http://dx.doi.org/10.1371/journal.pone.0056128
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author Ruan, Hong-Lian
Qin, Hai-De
Shugart, Yin Yao
Bei, Jin-Xin
Luo, Fu-Tian
Zeng, Yi-Xin
Jia, Wei-Hua
author_facet Ruan, Hong-Lian
Qin, Hai-De
Shugart, Yin Yao
Bei, Jin-Xin
Luo, Fu-Tian
Zeng, Yi-Xin
Jia, Wei-Hua
author_sort Ruan, Hong-Lian
collection PubMed
description To date, the only established model for assessing risk for nasopharyngeal carcinoma (NPC) relies on the sero-status of the Epstein-Barr virus (EBV). By contrast, the risk assessment models proposed here include environmental risk factors, family history of NPC, and information on genetic variants. The models were developed using epidemiological and genetic data from a large case-control study, which included 1,387 subjects with NPC and 1,459 controls of Cantonese origin. The predictive accuracy of the models were then assessed by calculating the area under the receiver-operating characteristic curves (AUC). To compare the discriminatory improvement of models with and without genetic information, we estimated the net reclassification improvement (NRI) and integrated discrimination index (IDI). Well-established environmental risk factors for NPC include consumption of salted fish and preserved vegetables and cigarette smoking (in pack years). The environmental model alone shows modest discriminatory ability (AUC = 0.68; 95% CI: 0.66, 0.70), which is only slightly increased by the addition of data on family history of NPC (AUC = 0.70; 95% CI: 0.68, 0.72). With the addition of data on genetic variants, however, our model’s discriminatory ability rises to 0.74 (95% CI: 0.72, 0.76). The improvements in NRI and IDI also suggest the potential usefulness of considering genetic variants when screening for NPC in endemic areas. If these findings are confirmed in larger cohort and population-based case-control studies, use of the new models to analyse data from NPC-endemic areas could well lead to earlier detection of NPC.
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spelling pubmed-35740612013-03-01 Developing Genetic Epidemiological Models to Predict Risk for Nasopharyngeal Carcinoma in High-Risk Population of China Ruan, Hong-Lian Qin, Hai-De Shugart, Yin Yao Bei, Jin-Xin Luo, Fu-Tian Zeng, Yi-Xin Jia, Wei-Hua PLoS One Research Article To date, the only established model for assessing risk for nasopharyngeal carcinoma (NPC) relies on the sero-status of the Epstein-Barr virus (EBV). By contrast, the risk assessment models proposed here include environmental risk factors, family history of NPC, and information on genetic variants. The models were developed using epidemiological and genetic data from a large case-control study, which included 1,387 subjects with NPC and 1,459 controls of Cantonese origin. The predictive accuracy of the models were then assessed by calculating the area under the receiver-operating characteristic curves (AUC). To compare the discriminatory improvement of models with and without genetic information, we estimated the net reclassification improvement (NRI) and integrated discrimination index (IDI). Well-established environmental risk factors for NPC include consumption of salted fish and preserved vegetables and cigarette smoking (in pack years). The environmental model alone shows modest discriminatory ability (AUC = 0.68; 95% CI: 0.66, 0.70), which is only slightly increased by the addition of data on family history of NPC (AUC = 0.70; 95% CI: 0.68, 0.72). With the addition of data on genetic variants, however, our model’s discriminatory ability rises to 0.74 (95% CI: 0.72, 0.76). The improvements in NRI and IDI also suggest the potential usefulness of considering genetic variants when screening for NPC in endemic areas. If these findings are confirmed in larger cohort and population-based case-control studies, use of the new models to analyse data from NPC-endemic areas could well lead to earlier detection of NPC. Public Library of Science 2013-02-15 /pmc/articles/PMC3574061/ /pubmed/23457511 http://dx.doi.org/10.1371/journal.pone.0056128 Text en © 2013 Ruan et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Ruan, Hong-Lian
Qin, Hai-De
Shugart, Yin Yao
Bei, Jin-Xin
Luo, Fu-Tian
Zeng, Yi-Xin
Jia, Wei-Hua
Developing Genetic Epidemiological Models to Predict Risk for Nasopharyngeal Carcinoma in High-Risk Population of China
title Developing Genetic Epidemiological Models to Predict Risk for Nasopharyngeal Carcinoma in High-Risk Population of China
title_full Developing Genetic Epidemiological Models to Predict Risk for Nasopharyngeal Carcinoma in High-Risk Population of China
title_fullStr Developing Genetic Epidemiological Models to Predict Risk for Nasopharyngeal Carcinoma in High-Risk Population of China
title_full_unstemmed Developing Genetic Epidemiological Models to Predict Risk for Nasopharyngeal Carcinoma in High-Risk Population of China
title_short Developing Genetic Epidemiological Models to Predict Risk for Nasopharyngeal Carcinoma in High-Risk Population of China
title_sort developing genetic epidemiological models to predict risk for nasopharyngeal carcinoma in high-risk population of china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3574061/
https://www.ncbi.nlm.nih.gov/pubmed/23457511
http://dx.doi.org/10.1371/journal.pone.0056128
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