AIM: To evaluate costs and outcomes of genetic testing for familial colorectal cancer through services provided by Genetic Services of Western Australia (GSWA). METHODS: Costs and outcomes of predictive DNA-based testing for inherited colorectal cancers (CRC) were assessed, specifically for familial adenomatous polyposis (FAP) and hereditary non-polyposis CRC (HNPCC) using a decision-analysis model. Costs were assigned according to standards of care in Western Australia (WA). Cancer risks and the efficacy of surveillance on long-term outcomes were derived from the published literature. RESULTS: The cost-effectiveness of genetic testing was compared in first-degree relatives of known mutation carriers who have a 50% risk of carrying the mutated gene (intervention group) to individuals with the same risk but who do not undergo a genetic test (control subjects). Compared with control subjects undergoing the same high-level surveillance and surgery, the FAP and HNPCC intervention groups provided total savings of 13,390 US dollars and 14,783-15,460 per person (males-females), respectively. HPNCC mutation carriers also gained 1 CRC-free year. Compared to control subjects having only population surveillance, individuals in the FAP intervention group delayed the onset of CRC by 40 years for a net cost of 9,042 US dollars. Individuals in the HNPCC intervention group delayed the onset of CRC by 8 years at a net cost of 12,141 US dollars for males and 12,596 US dollars for females. CONCLUSIONS: Genetic testing for familial CRC in WA allows targeted surveillance for mutation carriers, which ensures the efficient use of resources and reduces cancer-related morbidity, if clinical recommendations for intervention are adopted.
AIM: To evaluate costs and outcomes of genetic testing for familial colorectal cancer through services provided by Genetic Services of Western Australia (GSWA). METHODS: Costs and outcomes of predictive DNA-based testing for inherited colorectal cancers (CRC) were assessed, specifically for familial adenomatous polyposis (FAP) and hereditary non-polyposis CRC (HNPCC) using a decision-analysis model. Costs were assigned according to standards of care in Western Australia (WA). Cancer risks and the efficacy of surveillance on long-term outcomes were derived from the published literature. RESULTS: The cost-effectiveness of genetic testing was compared in first-degree relatives of known mutation carriers who have a 50% risk of carrying the mutated gene (intervention group) to individuals with the same risk but who do not undergo a genetic test (control subjects). Compared with control subjects undergoing the same high-level surveillance and surgery, the FAP and HNPCC intervention groups provided total savings of 13,390 US dollars and 14,783-15,460 per person (males-females), respectively. HPNCC mutation carriers also gained 1 CRC-free year. Compared to control subjects having only population surveillance, individuals in the FAP intervention group delayed the onset of CRC by 40 years for a net cost of 9,042 US dollars. Individuals in the HNPCC intervention group delayed the onset of CRC by 8 years at a net cost of 12,141 US dollars for males and 12,596 US dollars for females. CONCLUSIONS: Genetic testing for familial CRC in WA allows targeted surveillance for mutation carriers, which ensures the efficient use of resources and reduces cancer-related morbidity, if clinical recommendations for intervention are adopted.
Authors: Frauke Becker; Carla G van El; Dolores Ibarreta; Eleni Zika; Stuart Hogarth; Pascal Borry; Anne Cambon-Thomsen; Jean Jacques Cassiman; Gerry Evers-Kiebooms; Shirley Hodgson; A Cécile J W Janssens; Helena Kaariainen; Michael Krawczak; Ulf Kristoffersson; Jan Lubinski; Christine Patch; Victor B Penchaszadeh; Andrew Read; Wolf Rogowski; Jorge Sequeiros; Lisbeth Tranebjaerg; Irene M van Langen; Helen Wallace; Ron Zimmern; Jörg Schmidtke; Martina C Cornel Journal: Eur J Hum Genet Date: 2011-04 Impact factor: 4.246
Authors: H Rothenmund; H Singh; B Candas; B N Chodirker; K Serfas; M Aronson; S Holter; A Volenik; J Green; E Dicks; M O Woods; D Gilchrist; R Gryfe; Z Cohen; W D Foulkes Journal: Curr Oncol Date: 2013-10 Impact factor: 3.677
Authors: Glenn E Palomaki; Monica R McClain; Stephanie Melillo; Heather L Hampel; Stephen N Thibodeau Journal: Genet Med Date: 2009-01 Impact factor: 8.822
Authors: Anya E R Prince; R Jean Cadigan; Gail E Henderson; James P Evans; Michael Adams; Emmanuel Coker-Schwimmer; Dolly C Penn; Marcia Van Riper; Giselle Corbie-Smith; Daniel E Jonas Journal: Pharmgenomics Pers Med Date: 2017-02-20
Authors: Dayna R Cenin; Steffie K Naber; Iris Lansdorp-Vogelaar; Mark A Jenkins; Daniel D Buchanan; David B Preen; Hooi C Ee; Peter O'Leary Journal: J Gastroenterol Hepatol Date: 2018-05-17 Impact factor: 4.029
Authors: Marco Di Marco; Elvira DAndrea; Nikola Panic; Valentina Baccolini; Giuseppe Migliara; Carolina Marzuillo; Corrado De Vito; Roberta Pastorino; Stefania Boccia; Paolo Villari Journal: Genet Med Date: 2018-01-04 Impact factor: 8.822