Prediction of germline mutations and cancer risk in the Lynch syndrome

被引:277
作者
Chen, Sining
Wang, Wenyi
Lee, Shing
Nafa, Khedoudja
Lee, Johanna
Romans, Kathy
Watson, Patrice
Gruber, Stephen B.
Euhus, David
Kinzler, Kenneth W.
Jass, Jeremy
Gallinger, Steven
Lindor, Noralane M.
Casey, Graham
Ellis, Nathan
Giardiello, Francis M.
Offit, Kenneth
Parmigiani, Giovanni
机构
[1] Johns Hopkins, Johns Hopkins Bloomberg Sch Publ Hlth, Dept Environm Hlth Sci, Baltimore, MD 21205 USA
[2] Johns Hopkins, Johns Hopkins Bloomberg Sch Publ Hlth, Dept Biostat, Baltimore, MD 21205 USA
[3] Johns Hopkins, Sidney Kimmel Comprehens Canc Ctr, Baltimore, MD 21205 USA
[4] Columbia Univ, Mailman Sch Publ Hlth, New York, NY USA
[5] Mem Sloan Kettering Canc Ctr, New York, NY 10021 USA
[6] Creighton Univ, Sch Med, Omaha, NE USA
[7] Univ Michigan, Sch Med, Ann Arbor, MI USA
[8] Univ Texas, SW Med Ctr, Dallas, TX USA
[9] McGill Univ, Dept Pathol, Montreal, PQ, Canada
[10] Univ Toronto, Toronto, ON, Canada
[11] Mayo Clin, Coll Med, Rochester, MN USA
[12] Cleveland Clin, Lerner Coll Med, Cleveland, OH 44106 USA
[13] Univ Chicago, Dept Med, Chicago, IL 60637 USA
来源
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION | 2006年 / 296卷 / 12期
关键词
D O I
10.1001/jama.296.12.1479
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Context Identifying families at high risk for the Lynch syndrome (ie, hereditary non-polyposis colorectal cancer) is critical for both genetic counseling and cancer prevention. Current clinical guidelines are effective but limited by applicability and cost. Objective To develop and validate a genetic counseling and risk prediction tool that estimates the probability of carrying a deleterious mutation in mismatch repair genes MLH1, MSH2, or MSH6 and the probability of developing colorectal or endometrial cancer. Design, Setting, and Patients External validation of the MMRpro model was conducted on 279 individuals from 226 clinic-based families in the United States, Canada, and Australia (referred between 1993-2005) by comparing model predictions with results of highly sensitive germline mutation detection techniques. MMRpro models the autosomal dominant inheritance of mismatch repair mutations, with parameters based on meta-analyses of the penetrance and prevalence of mutations and of the predictive values of tumor characteristics. The model's prediction is tailored to each individual's detailed family history information on colorectal and endometrial cancer and to tumor characteristics including microsatellite instability. Main Outcome Measure Ability of MMRpro to correctly predict mutation carrier status, as measured by operating characteristics, calibration, and overall accuracy. Results In the independent validation, MMRpro provided a concordance index of 0.83 (95% confidence interval, 0.78-0.88) and a ratio of observed to predicted cases of 0.94 (95% confidence interval, 0.84-1.05). This results in higher accuracy than existing alternatives and current clinical guidelines. Conclusions MMRpro is a broadly applicable, accurate prediction model that can contribute to current screening and genetic counseling practices in a high-risk population. It is more sensitive and more specific than existing clinical guidelines for identifying individuals who may benefit from MMR germline testing. It is applicable to individuals for whom tumor samples are not available and to individuals in whom germline testing finds no mutation.
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收藏
页码:1479 / 1487
页数:9
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