Literature DB >> 16003745

Novel strategy for optimal sequential application of clinical criteria, immunohistochemistry and microsatellite analysis in the diagnosis of hereditary nonpolyposis colorectal cancer.

Christoph Engel1, Jochen Forberg, Elke Holinski-Feder, Constanze Pagenstecher, Jens Plaschke, Matthias Kloor, Christopher Poremba, Christian P Pox, Josef Rüschoff, Gisela Keller, Wolfgang Dietmaier, Petra Rümmele, Nicolaus Friedrichs, Elisabeth Mangold, Reinhard Buettner, Hans K Schackert, Peter Kienle, Susanne Stemmler, Gabriela Moeslein, Markus Loeffler.   

Abstract

Clinical criteria, microsatellite analysis (MSA) and immunohistochemistry (IHC) are important diagnostic tools for identification of hereditary nonpolyposis colorectal cancer (HNPCC) patients who are likely to carry pathogenic germline mutations in mismatch repair genes. Based on MSA and IHC results and subsequent mutation analyses of 1,119 unrelated index patients meeting the Amsterdam II criteria or the classical Bethesda guidelines, we analyzed the value of these tools to predict MLH1 and MSH2 mutations with the aim of establishing optimal strategies for their most efficient sequential use. The overall prevalence of pathogenic germline mutations in our cohort was 20.6% (95% CI = 18.3-23.0%) and 61.8% (95% CI = 56.8-66.6%), respectively, after MSA/IHC-based preselection. IHC was highly predictive (99.1%) and specific (99.6%) with regard to MSA. However, 14 out of 230 mutations (6%) escaped detection by IHC. Thus, IHC cannot be recommended to substitute MSA fully. Nonetheless, IHC is important to indicate the gene that is likely to be affected. To combine both methods efficiently, we propose a novel screening strategy that provides 2 alternative ways of sequential IHC and MSA application, either using IHC or MSA in the first place. A logistic regression model based on the age of the index patient at first tumor diagnosis and the number of fulfilled HNPCC criteria is used to allocate individual patients to that alternative pathway that is expected to be least expensive. A cost analysis reveals that about 25% of the costs can be saved using this strategy. Copyright 2005 Wiley-Liss, Inc.

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Year:  2006        PMID: 16003745     DOI: 10.1002/ijc.21313

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  23 in total

1.  Identification of mismatch repair gene mutations in young patients with colorectal cancer and in patients with multiple tumours associated with hereditary non-polyposis colorectal cancer.

Authors:  R C Niessen; M J W Berends; Y Wu; R H Sijmons; H Hollema; M J L Ligtenberg; H E K de Walle; E G E de Vries; A Karrenbeld; C H C M Buys; A G J van der Zee; R M W Hofstra; J H Kleibeuker
Journal:  Gut       Date:  2006-04-24       Impact factor: 23.059

2.  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

3.  Multivariate analysis of MLH1 c.1664T>C (p.Leu555Pro) mismatch repair gene variant demonstrates its pathogenicity.

Authors:  M P Farrell; D J Hughes; M Drost; A J Wallace; R J Cummins; T A Fletcher; M A Meany; E W Kay; N de Wind; D G Power; E J Andrews; A J Green; D J Gallagher
Journal:  Fam Cancer       Date:  2013-12       Impact factor: 2.375

4.  The added value of PMS2 immunostaining in the diagnosis of hereditary nonpolyposis colorectal cancer.

Authors:  Britta Halvarsson; Annika Lindblom; Eva Rambech; Kristina Lagerstedt; Mef Nilbert
Journal:  Fam Cancer       Date:  2006-07-12       Impact factor: 2.375

5.  Mutation and association analyses of the candidate genes ESR1, ESR2, MAX, PCNA, and KAT2A in patients with unexplained MSH2-deficient tumors.

Authors:  Nils Rahner; Felix F Brockschmidt; Verena Steinke; Philip Kahl; Tim Becker; Hans F A Vasen; Juul T Wijnen; Carli J M Tops; Elke Holinski-Feder; Marjolijn J L Ligtenberg; Liesbeth Spruijt; Heike Görgens; Susanne Stemmler; Matthias Kloor; Wolfgang Dietmaier; Johannes Schumacher; Markus M Nöthen; Peter Propping
Journal:  Fam Cancer       Date:  2012-03       Impact factor: 2.375

6.  Prediction of germline mutations and cancer risk in the Lynch syndrome.

Authors:  Sining Chen; Wenyi Wang; Shing Lee; Khedoudja Nafa; Johanna Lee; Kathy Romans; Patrice Watson; Stephen B Gruber; David Euhus; Kenneth W Kinzler; Jeremy Jass; Steven Gallinger; Noralane M Lindor; Graham Casey; Nathan Ellis; Francis M Giardiello; Kenneth Offit; Giovanni Parmigiani
Journal:  JAMA       Date:  2006-09-27       Impact factor: 56.272

Review 7.  Clinical significance of microsatellite instability in colorectal cancer.

Authors:  Matthias Kloor; Laura Staffa; Aysel Ahadova; Magnus von Knebel Doeberitz
Journal:  Langenbecks Arch Surg       Date:  2013-09-19       Impact factor: 3.445

Review 8.  [MSI testing : What is new? What should be considered? German version].

Authors:  Josef Rüschoff; Gustavo Baretton; Hendrik Bläker; Wolfgang Dietmaier; Manfred Dietel; Arndt Hartmann; Lars-Christian Horn; Korinna Jöhrens; Thomas Kirchner; Ruth Knüchel; Doris Mayr; Sabine Merkelbach-Bruse; Hans-Ulrich Schildhaus; Peter Schirmacher; Markus Tiemann; Katharina Tiemann; Wilko Weichert; Reinhard Büttner
Journal:  Pathologe       Date:  2021-05-27       Impact factor: 1.011

9.  Tumor characteristics as an analytic tool for classifying genetic variants of uncertain clinical significance.

Authors:  Robert M W Hofstra; Amanda B Spurdle; Diana Eccles; William D Foulkes; Niels de Wind; Nicoline Hoogerbrugge; Frans B L Hogervorst
Journal:  Hum Mutat       Date:  2008-11       Impact factor: 4.878

10.  Association of familial colorectal cancer with variants in the E-cadherin (CDH1) and cyclin D1 (CCND1) genes.

Authors:  Frank Grünhage; Matthias Jungck; Christoph Lamberti; Christine Berg; Ursula Becker; Hildegard Schulte-Witte; Dominik Plassmann; Nils Rahner; Stefan Aretz; Nicolaus Friedrichs; Reinhard Buettner; Tilman Sauerbruch; Frank Lammert
Journal:  Int J Colorectal Dis       Date:  2007-10-25       Impact factor: 2.571

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