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Validation of Prediction Models for Mismatch Repair Gene Mutations in Koreans

PURPOSE: Lynch syndrome, the commonest hereditary colorectal cancer syndrome, is caused by germline mutations in mismatch repair (MMR) genes. Three recently developed prediction models for MMR gene mutations based on family history and clinical features (MMRPredict, PREMM(1,2,6), and MMRPro) have be...

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Autores principales: Lee, Soo Young, Kim, Duck-Woo, Shin, Young-Kyoung, Ihn, Myong Hoon, Lee, Sung Min, Oh, Heung-Kwon, Ku, Ja-Lok, Jeong, Seung-Yong, Lee, Jae Bong, Ahn, Soyeon, Won, Sungho, Kang, Sung-Bum
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Cancer Association 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4843726/
https://www.ncbi.nlm.nih.gov/pubmed/26044159
http://dx.doi.org/10.4143/crt.2014.288
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author Lee, Soo Young
Kim, Duck-Woo
Shin, Young-Kyoung
Ihn, Myong Hoon
Lee, Sung Min
Oh, Heung-Kwon
Ku, Ja-Lok
Jeong, Seung-Yong
Lee, Jae Bong
Ahn, Soyeon
Won, Sungho
Kang, Sung-Bum
author_facet Lee, Soo Young
Kim, Duck-Woo
Shin, Young-Kyoung
Ihn, Myong Hoon
Lee, Sung Min
Oh, Heung-Kwon
Ku, Ja-Lok
Jeong, Seung-Yong
Lee, Jae Bong
Ahn, Soyeon
Won, Sungho
Kang, Sung-Bum
author_sort Lee, Soo Young
collection PubMed
description PURPOSE: Lynch syndrome, the commonest hereditary colorectal cancer syndrome, is caused by germline mutations in mismatch repair (MMR) genes. Three recently developed prediction models for MMR gene mutations based on family history and clinical features (MMRPredict, PREMM(1,2,6), and MMRPro) have been validated only in Western countries. In this study, we propose validating these prediction models in the Korean population. MATERIALS AND METHODS: We collected MMR gene analysis data from 188 individuals in the Korean Hereditary Tumor Registry. The probability of gene mutation was calculated using three prediction models, and the overall diagnostic value of each model compared using receiver operator characteristic (ROC) curves and area under the ROC curve (AUC). Quantitative test characteristics were calculated at sensitivities of 90%, 95%, and 98%. RESULTS: Of the individuals analyzed, 101 satisfied Amsterdam criteria II, and 87 were suspected hereditary nonpolyposis colorectal cancer. MMR mutations were identified in 62 of the 188 subjects (33.0%). All three prediction models showed a poor predictive value of AUC (MMRPredict, 0.683; PREMM(1,2,6), 0.709; MMRPro, 0.590). Within the range of acceptable sensitivity (> 90%), PREMM(1,2,6) demonstrated higher specificity than the other models. CONCLUSION: In the Korean population, overall predictive values of the three models (MMRPredict, PREMM(1,2,6), MMRPro) for MMR gene mutations are poor, compared with their performance in Western populations. A new prediction model is therefore required for the Korean population to detect MMR mutation carriers, reflecting ethnic differences in genotype-phenotype associations.
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spelling pubmed-48437262016-05-06 Validation of Prediction Models for Mismatch Repair Gene Mutations in Koreans Lee, Soo Young Kim, Duck-Woo Shin, Young-Kyoung Ihn, Myong Hoon Lee, Sung Min Oh, Heung-Kwon Ku, Ja-Lok Jeong, Seung-Yong Lee, Jae Bong Ahn, Soyeon Won, Sungho Kang, Sung-Bum Cancer Res Treat Original Article PURPOSE: Lynch syndrome, the commonest hereditary colorectal cancer syndrome, is caused by germline mutations in mismatch repair (MMR) genes. Three recently developed prediction models for MMR gene mutations based on family history and clinical features (MMRPredict, PREMM(1,2,6), and MMRPro) have been validated only in Western countries. In this study, we propose validating these prediction models in the Korean population. MATERIALS AND METHODS: We collected MMR gene analysis data from 188 individuals in the Korean Hereditary Tumor Registry. The probability of gene mutation was calculated using three prediction models, and the overall diagnostic value of each model compared using receiver operator characteristic (ROC) curves and area under the ROC curve (AUC). Quantitative test characteristics were calculated at sensitivities of 90%, 95%, and 98%. RESULTS: Of the individuals analyzed, 101 satisfied Amsterdam criteria II, and 87 were suspected hereditary nonpolyposis colorectal cancer. MMR mutations were identified in 62 of the 188 subjects (33.0%). All three prediction models showed a poor predictive value of AUC (MMRPredict, 0.683; PREMM(1,2,6), 0.709; MMRPro, 0.590). Within the range of acceptable sensitivity (> 90%), PREMM(1,2,6) demonstrated higher specificity than the other models. CONCLUSION: In the Korean population, overall predictive values of the three models (MMRPredict, PREMM(1,2,6), MMRPro) for MMR gene mutations are poor, compared with their performance in Western populations. A new prediction model is therefore required for the Korean population to detect MMR mutation carriers, reflecting ethnic differences in genotype-phenotype associations. Korean Cancer Association 2016-04 2015-06-05 /pmc/articles/PMC4843726/ /pubmed/26044159 http://dx.doi.org/10.4143/crt.2014.288 Text en Copyright © 2016 by the Korean Cancer Association This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Lee, Soo Young
Kim, Duck-Woo
Shin, Young-Kyoung
Ihn, Myong Hoon
Lee, Sung Min
Oh, Heung-Kwon
Ku, Ja-Lok
Jeong, Seung-Yong
Lee, Jae Bong
Ahn, Soyeon
Won, Sungho
Kang, Sung-Bum
Validation of Prediction Models for Mismatch Repair Gene Mutations in Koreans
title Validation of Prediction Models for Mismatch Repair Gene Mutations in Koreans
title_full Validation of Prediction Models for Mismatch Repair Gene Mutations in Koreans
title_fullStr Validation of Prediction Models for Mismatch Repair Gene Mutations in Koreans
title_full_unstemmed Validation of Prediction Models for Mismatch Repair Gene Mutations in Koreans
title_short Validation of Prediction Models for Mismatch Repair Gene Mutations in Koreans
title_sort validation of prediction models for mismatch repair gene mutations in koreans
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4843726/
https://www.ncbi.nlm.nih.gov/pubmed/26044159
http://dx.doi.org/10.4143/crt.2014.288
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