Literature DB >> 19244167

Prediction of Lynch syndrome in consecutive patients with colorectal cancer.

Roger C Green1, Patrick S Parfrey, Michael O Woods, H Banfield Younghusband.   

Abstract

BACKGROUND: Lynch syndrome is caused by inherited mutations in DNA mismatch repair genes (primarily MSH2, MLH1, MSH6, and PMS2) and is one of the most prevalent inherited cancer syndromes. Several models have been developed to predict the occurrence of Lynch syndrome in high-risk patients and families, but it is not known how these models compare with one another or how they perform for colorectal cancer patients from the general population. We used data from such patients to test the ability of four models--Leiden, MMRpredict, PREMM(1,2), and MMRpro--to distinguish between those who did and did not carry DNA mismatch repair gene mutations.
METHODS: We studied a consecutive series of 725 patients who were younger than 75 years at colorectal cancer diagnosis and whose DNA mismatch repair gene mutation status was available; 18 of the 725 patients carried such a mutation. For each model, we calculated the risk score, compared the observed number of mutations with the expected number, and determined the receiver operating characteristics. All statistical tests were two-sided.
RESULTS: Although all four models overestimated the probability of a mutation (range = 1.2- to 4.3-fold), especially in low-risk patients, they could discriminate between carriers and noncarriers of a mismatch repair mutation. The areas under the receiver operating characteristics curves from the four models ranged from 0.91 to 0.96. Carriers of mutations in the MSH6 or PMS2 genes had lower risk scores than carriers of MSH2 or MLH1 mutations. For example, the MMRpredict model gave median risk scores of 24% and 94% (P < .015) for MSH6-PMS2 and MSH2-MLH1 mutation carriers, respectively. For the Leiden, MMRpredict, and PREMM(1,2) models, correcting the risk scores for bias introduced by family size improved their power to discriminate between carriers and noncarriers. After correcting for family size, the best model was MMRpredict, which achieved a sensitivity of 94% (95% confidence interval [CI] = 73% to 99%) and a specificity of 91% (95% CI = 88% to 93%) and identified a smaller proportion of patients than the revised Bethesda criteria as those who should undergo additional molecular or immunohistochemical testing (11% vs 50%).
CONCLUSION: MMRpredict was the best-performing model for identifying colorectal cancer patients who are at high risk of carrying a DNA mismatch repair gene mutation and thus should be screened for Lynch syndrome.

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Year:  2009        PMID: 19244167     DOI: 10.1093/jnci/djn499

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  36 in total

1.  The PREMM(1,2,6) model predicts risk of MLH1, MSH2, and MSH6 germline mutations based on cancer history.

Authors:  Fay Kastrinos; Ewout W Steyerberg; Rowena Mercado; Judith Balmaña; Spring Holter; Steven Gallinger; Kimberly D Siegmund; James M Church; Mark A Jenkins; Noralane M Lindor; Stephen N Thibodeau; Lynn Anne Burbidge; Richard J Wenstrup; Sapna Syngal
Journal:  Gastroenterology       Date:  2010-08-19       Impact factor: 22.682

Review 2.  History, genetics, and strategies for cancer prevention in Lynch syndrome.

Authors:  Fay Kastrinos; Elena M Stoffel
Journal:  Clin Gastroenterol Hepatol       Date:  2013-07-23       Impact factor: 11.382

3.  Prevalence of alterations in DNA mismatch repair genes in patients with young-onset colorectal cancer.

Authors:  Paul J Limburg; William S Harmsen; Helen H Chen; Steven Gallinger; Robert W Haile; John A Baron; Graham Casey; Michael O Woods; Stephen N Thibodeau; Noralane M Lindor
Journal:  Clin Gastroenterol Hepatol       Date:  2010-11-05       Impact factor: 11.382

Review 4.  Advances in Biomarkers: Going Beyond the Carcinoembryonic Antigen.

Authors:  Nicole E Lopez; Carrie Y Peterson
Journal:  Clin Colon Rectal Surg       Date:  2016-09

5.  Performance of Lynch syndrome predictive models in quantifying the likelihood of germline mutations in patients with abnormal MLH1 immunoexpression.

Authors:  Verónica Cabreira; Carla Pinto; Manuela Pinheiro; Paula Lopes; Ana Peixoto; Catarina Santos; Isabel Veiga; Patrícia Rocha; Pedro Pinto; Rui Henrique; Manuel R Teixeira
Journal:  Fam Cancer       Date:  2017-01       Impact factor: 2.375

Review 6.  Familial Colorectal Cancer: Understanding the Alphabet Soup.

Authors:  Matthew D Giglia; Daniel I Chu
Journal:  Clin Colon Rectal Surg       Date:  2016-09

Review 7.  Management of genetic syndromes predisposing to gynecologic cancers.

Authors:  Susan Miesfeldt; Amanda Lamb; Christine Duarte
Journal:  Curr Treat Options Oncol       Date:  2013-03

8.  Comprehensive molecular analysis of mismatch repair gene defects in suspected Lynch syndrome (hereditary nonpolyposis colorectal cancer) cases.

Authors:  James Mueller; Isabella Gazzoli; Prathap Bandipalliam; Judy E Garber; Sapna Syngal; Richard D Kolodner
Journal:  Cancer Res       Date:  2009-08-18       Impact factor: 12.701

9.  Penetrance of HNPCC-related cancers in a retrolective cohort of 12 large Newfoundland families carrying a MSH2 founder mutation: an evaluation using modified segregation models.

Authors:  Karen A Kopciuk; Yun-Hee Choi; Elena Parkhomenko; Patrick Parfrey; John McLaughlin; Jane Green; Laurent Briollais
Journal:  Hered Cancer Clin Pract       Date:  2009-10-28       Impact factor: 2.857

10.  Prognostic and predictive value of TOPK stratified by KRAS and BRAF gene alterations in sporadic, hereditary and metastatic colorectal cancer patients.

Authors:  I Zlobec; F Molinari; M Kovac; M P Bihl; H J Altermatt; J Diebold; H Frick; M Germer; M Horcic; M Montani; G Singer; H Yurtsever; A Zettl; L Terracciano; L Mazzucchelli; P Saletti; M Frattini; K Heinimann; A Lugli
Journal:  Br J Cancer       Date:  2009-11-24       Impact factor: 7.640

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