Literature DB >> 22350504

Predictive genetic testing of first degree relatives of mutation carriers is a cost-effective strategy in preventing hereditary non-polyposis colorectal cancer in Singapore.

Vivian Wei Wang1, Poh Koon Koh, Wai Leng Chow, Jeremy Fung Yen Lim.   

Abstract

Colorectal cancer (CRC) is the most common cancer in Singapore. We sought to evaluate the long-term cost-effectiveness of targeted genetic testing and surveillance programs in individuals at high risk of hereditary non-polyposis colorectal cancer (HNPCC), as compared to an unselective clinical surveillance program alone in Singapore. A Markov model analysis from the healthcare service provider's perspective was developed to follow over a lifetime a cohort of cancer-free 21-year-old individuals, who were first-degree relatives of HNPCC patients with a known mutation. Genetic testing strategy provided a lifetime saving of Singapore dollars (SGD) 13,588 per person and gained additional life years of 0.01, as compared to clinical surveillance alone, by sparing non-mutation carriers from unnecessary and invasive intensive clinical surveillance (assuming 100% compliance with recommended surveillance programs in both strategies). Sensitivity analyses showed that as long as the compliance rate in mutation carriers was not lower than that for individuals without genetic testing, pursuing a genetic testing strategy would either be a more favorable option with discounted incremental cost-effectiveness ratios ranging from SGD 6,961 to 17,289 per life year gained or a dominant status achieved (more life year gained and less costly). Genetic testing for individuals at high risk of HNPCC allows targeted clinical surveillance to be directed at mutation carriers, ensuring efficient use of healthcare resources and reduces CRC-related mortality. It can be regarded as a cost-effective strategy in Singapore, if an improved compliance with recommended surveillance protocol is achieved in proven mutation carriers.

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Year:  2012        PMID: 22350504     DOI: 10.1007/s10689-012-9513-y

Source DB:  PubMed          Journal:  Fam Cancer        ISSN: 1389-9600            Impact factor:   2.375


  42 in total

1.  Value of predictive genetic testing in management of hereditary non-polyposis colorectal cancer (HNPCC)

Authors:  A J Stanley; C L Gaff; A K Aittomäki; L C Fabre; F A Macrae; J St John
Journal:  Med J Aust       Date:  2000-04-03       Impact factor: 7.738

2.  Clinical impact of molecular genetic diagnosis, genetic counseling, and management of hereditary cancer. Part II: Hereditary nonpolyposis colorectal carcinoma as a model.

Authors:  H T Lynch; P Watson; T G Shaw; J F Lynch; A E Harty; B A Franklin; C R Kapler; S T Tinley; B Liu; C Lerman
Journal:  Cancer       Date:  1999-12-01       Impact factor: 6.860

3.  Transvaginal ultrasonography compared with endometrial biopsy for the detection of endometrial disease. Postmenopausal Estrogen/Progestin Interventions Trial.

Authors:  R D Langer; J J Pierce; K A O'Hanlan; S R Johnson; M A Espeland; J F Trabal; V M Barnabei; M J Merino; R E Scully
Journal:  N Engl J Med       Date:  1997-12-18       Impact factor: 91.245

4.  Comparison of selection strategies for genetic testing of patients with hereditary nonpolyposis colorectal carcinoma: effectiveness and cost-effectiveness.

Authors:  Carolina M Reyes; Brian A Allen; Jonathan P Terdiman; Leslie S Wilson
Journal:  Cancer       Date:  2002-11-01       Impact factor: 6.860

5.  Cancer risk in hereditary nonpolyposis colorectal cancer syndrome: later age of onset.

Authors:  Heather Hampel; Julie A Stephens; Eero Pukkala; Risto Sankila; Lauri A Aaltonen; Jukka-Pekka Mecklin; Albert de la Chapelle
Journal:  Gastroenterology       Date:  2005-08       Impact factor: 22.682

Review 6.  The tumor spectrum in the Lynch syndrome.

Authors:  Patrice Watson; Bronson Riley
Journal:  Fam Cancer       Date:  2005       Impact factor: 2.375

7.  Histopathology of colorectal carcinomas and adenomas in cancer family syndrome.

Authors:  J P Mecklin; P Sipponen; H J Järvinen
Journal:  Dis Colon Rectum       Date:  1986-12       Impact factor: 4.585

8.  Health benefits and cost-effectiveness of primary genetic screening for Lynch syndrome in the general population.

Authors:  Tuan A Dinh; Benjamin I Rosner; James C Atwood; C Richard Boland; Sapna Syngal; Hans F A Vasen; Stephen B Gruber; Randall W Burt
Journal:  Cancer Prev Res (Phila)       Date:  2010-11-18

9.  Cost-effectiveness of colonoscopy in screening for colorectal cancer.

Authors:  A Sonnenberg; F Delcò; J M Inadomi
Journal:  Ann Intern Med       Date:  2000-10-17       Impact factor: 25.391

10.  Frequency of hereditary non-polyposis colorectal cancer among unselected patients with colorectal cancer in Germany.

Authors:  C Lamberti; E Mangold; C Pagenstecher; M Jungck; D Schwering; M Bollmann; J Vogel; D Kindermann; R Nikorowitsch; N Friedrichs; B Schneider; F Houshdaran; I G H Schmidt-Wolf; W Friedl; P Propping; T Sauerbruch; R Büttner; M Mathiak
Journal:  Digestion       Date:  2006-03-03       Impact factor: 3.216

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  12 in total

1.  Impact of Appointment Waiting Time on Attendance Rates at a Clinical Cancer Genetics Service.

Authors:  Tarryn Shaw; Julie Metras; Zoe Ang Li Ting; Eliza Courtney; Shao-Tzu Li; Joanne Ngeow
Journal:  J Genet Couns       Date:  2018-05-24       Impact factor: 2.537

2.  Cost sharing and hereditary cancer risk: predictors of willingness-to-pay for genetic testing.

Authors:  Jennifer M Matro; Karen J Ruth; Yu-Ning Wong; Katen C McCully; Christina M Rybak; Neal J Meropol; Michael J Hall
Journal:  J Genet Couns       Date:  2014-05-06       Impact factor: 2.537

3.  Genetic testing in families with hereditary colorectal cancer in British Columbia and Yukon: a retrospective cross-sectional analysis.

Authors:  Vivienne K Beard; Angela C Bedard; Jennifer Nuk; Petra W C Lee; Quan Hong; James E J Bedard; Sophie Sun; Kasmintan A Schrader
Journal:  CMAJ Open       Date:  2020-10-19

4.  Validity of a two-antibody testing algorithm for mismatch repair deficiency testing in cancer; a systematic literature review and meta-analysis.

Authors:  K T S Aiyer; T Doeleman; N A Ryan; M Nielsen; E J Crosbie; V T H B M Smit; H Morreau; J J Goeman; T Bosse
Journal:  Mod Pathol       Date:  2022-09-14       Impact factor: 8.209

Review 5.  Economic evidence on identifying clinically actionable findings with whole-genome sequencing: a scoping review.

Authors:  Michael P Douglas; Uri Ladabaum; Mark J Pletcher; Deborah A Marshall; Kathryn A Phillips
Journal:  Genet Med       Date:  2015-05-21       Impact factor: 8.822

6.  Economic evaluation of genetic screening for Lynch syndrome in Germany.

Authors:  Franziska Severin; Björn Stollenwerk; Elke Holinski-Feder; Elisabeth Meyer; Volker Heinemann; Clemens Giessen-Jung; Wolf Rogowski
Journal:  Genet Med       Date:  2015-01-08       Impact factor: 8.822

7.  Cost-Effectiveness Analysis of Different Genetic Testing Strategies for Lynch Syndrome in Taiwan.

Authors:  Ying-Erh Chen; Sung-Shuo Kao; Ren-Hua Chung
Journal:  PLoS One       Date:  2016-08-02       Impact factor: 3.240

8.  Costs of genetic testing: Supporting Brazilian Public Policies for the incorporating of molecular diagnostic technologies.

Authors:  Rosane Paixão Schlatter; Ursula Matte; Carisi Anne Polanczyk; Patrícia Koehler-Santos; Patricia Ashton-Prolla
Journal:  Genet Mol Biol       Date:  2015-08-21       Impact factor: 1.771

Review 9.  Personalized medicine in colorectal cancer diagnosis and treatment: a systematic review of health economic evaluations.

Authors:  Annamaria Guglielmo; Nicoletta Staropoli; Monica Giancotti; Marianna Mauro
Journal:  Cost Eff Resour Alloc       Date:  2018-01-22

10.  Simulation modeling validity and utility in colorectal cancer screening delivery: A systematic review.

Authors:  Heather Smith; Peyman Varshoei; Robin Boushey; Craig Kuziemsky
Journal:  J Am Med Inform Assoc       Date:  2020-06-01       Impact factor: 4.497

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