Literature DB >> 15611508

Refining the Amsterdam Criteria and Bethesda Guidelines: testing algorithms for the prediction of mismatch repair mutation status in the familial cancer clinic.

L R Lipton1, V Johnson, C Cummings, S Fisher, P Risby, A T Eftekhar Sadat, T Cranston, L Izatt, P Sasieni, S V Hodgson, H J W Thomas, I P M Tomlinson.   

Abstract

PURPOSE: Hereditary nonpolyposis colon cancer (HNPCC) is a Mendelian dominant syndrome of bowel, endometrial, and other cancers and results from germline mutations in mismatch repair (MMR) genes. HNPCC is now best diagnosed on molecular grounds using MMR mutation screening, aided by microsatellite instability (MSI) and immunohistochemistry in tumors. Selection of families for molecular investigation of HNPCC is usually based on suboptimal methods (Amsterdam Criteria or Bethesda Guidelines), but these can be improved using additional clinical data (mean ages of affected persons and presence of endometrial cancer) in a quantitative model.
METHODS: We have verified the performance of the Wijnen model and have shown that it remains valid when HNPCC is diagnosed using mutation screening, MSI, and immunohistochemistry. We have also set up and verified our own models (Amsterdam-plus and Alternative), which perform at least as well as the Wijnen model.
RESULTS: The Amsterdam-plus model improves on the Amsterdam Criteria by using five extra variables (numbers of colorectal and endometrial cancers in the family, number of patients with five or more adenomas, number with more than one primary cancer of the colorectum or endometrium, and mean age of presentation) and performs better than the Wijnen model. The Alternative model avoids the need to evaluate the Amsterdam Criteria and performs nearly as well as the other models.
CONCLUSION: We believe that a quantitative model, such as the Amsterdam-plus model, should be the first choice for selecting families or patients for evaluation of HNPCC using molecular tests. We present an algorithm for this process.

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Year:  2004        PMID: 15611508     DOI: 10.1200/JCO.2004.11.084

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  28 in total

1.  Assessing the predictive accuracy of hMLH1 and hMSH2 mutation probability models.

Authors:  Kory W Jasperson; Katrina Lowstuter; Jeffrey N Weitzel
Journal:  J Genet Couns       Date:  2006-10       Impact factor: 2.537

2.  Validation and extension of the PREMM1,2 model in a population-based cohort of colorectal cancer patients.

Authors:  Francesc Balaguer; Judith Balmaña; Sergi Castellví-Bel; Ewout W Steyerberg; Montserrat Andreu; Xavier Llor; Rodrigo Jover; Sapna Syngal; Antoni Castells
Journal:  Gastroenterology       Date:  2007-10-26       Impact factor: 22.682

3.  Development of multidisciplinary committees for decision making and care management in hereditary colon cancer: the French state of the art.

Authors:  Souria Aissaoui; Hanaa Aissaoui; Sophie Giraud; Stéphane Pinson; Alain Calender
Journal:  J Community Genet       Date:  2013-09-10

4.  The hMSH2(M688R) Lynch syndrome mutation may function as a dominant negative.

Authors:  Juana V Martín-López; Ysamar Barrios; Vicente Medina-Arana; Miguel Andújar; Sanghee Lee; Liya Gu; Guo-Min Li; Josef Rüschoff; Eduardo Salido; Richard Fishel
Journal:  Carcinogenesis       Date:  2012-06-27       Impact factor: 4.944

5.  Evidence of linkage to chromosomes 10p15.3-p15.1, 14q24.3-q31.1 and 9q33.3-q34.3 in non-syndromic colorectal cancer families.

Authors:  Ian W Saunders; Jason Ross; Finlay Macrae; Graeme P Young; Ignacio Blanco; Jesper Brohede; Glenn Brown; Diana Brookes; Trevor Lockett; Peter L Molloy; Victor Moreno; Gabriel Capella; Garry N Hannan
Journal:  Eur J Hum Genet       Date:  2011-08-10       Impact factor: 4.246

6.  Lynch syndrome in Tunisia: first description of clinical features and germline mutations.

Authors:  Sana Aissi-Ben Moussa; Amel Moussa; Nadia Kourda; Amel Mezlini; Nabil Abdelli; Farid Zerimech; Taoufik Najjar; Sarah Ben Jilani; Nicole Porchet; Farhat Ben Ayed; Mohamed Manai; Marie-Pierre Buisine
Journal:  Int J Colorectal Dis       Date:  2011-02-11       Impact factor: 2.571

7.  Analysis of somatic molecular changes, clinicopathological features, family history, and germline mutations in colorectal cancer families: evidence for efficient diagnosis of HNPCC and for the existence of distinct groups of non-HNPCC families.

Authors:  V Johnson; L R Lipton; C Cummings; A T Eftekhar Sadat; L Izatt; S V Hodgson; I C Talbot; H J W Thomas; A J R Silver; I P M Tomlinson
Journal:  J Med Genet       Date:  2005-03-23       Impact factor: 6.318

8.  Testing women with endometrial cancer to detect Lynch syndrome.

Authors:  Janice S Kwon; Jenna L Scott; C Blake Gilks; Molly S Daniels; Charlotte C Sun; Karen H Lu
Journal:  J Clin Oncol       Date:  2011-05-02       Impact factor: 44.544

9.  Development and validation of a colon cancer risk assessment tool for patients undergoing colonoscopy.

Authors:  Fay Kastrinos; John I Allen; David H Stockwell; Elena M Stoffel; Earl F Cook; Muthoka L Mutinga; Judith Balmaña; Sapna Syngal
Journal:  Am J Gastroenterol       Date:  2009-04-28       Impact factor: 10.864

10.  Are prediction models for Lynch syndrome valid for probands with endometrial cancer?

Authors:  Floor J Backes; Heather Hampel; Katherine A Backes; Luis Vaccarello; George Lewandowski; Jeffrey A Bell; Gary C Reid; Larry J Copeland; Jeffrey M Fowler; David E Cohn
Journal:  Fam Cancer       Date:  2009-07-30       Impact factor: 2.375

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