Towards population-based genetic screenings for breast and ovarian cancer: A comprehensive review from economic evaluations to patient perspectives

Genetic testing for hereditary breast and ovarian cancer following genetic counseling is based on guidelines that take into account particular features of the personal and family history, and clinical criteria conferring a probability of having a BRCA mutation greater than 10% as a threshold for acc...

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Main Authors: Filomena Ficarazzi, Manuela Vecchi, Maurizio Ferrari, Marco A. Pierotti
Format: Article
Language:English
Published: Elsevier 2021-08-01
Series:Breast
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0960977621003714
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spelling doaj-f0c90b4ab9724f908671a0e4ccc1ba792021-06-21T04:23:45ZengElsevierBreast1532-30802021-08-0158121129Towards population-based genetic screenings for breast and ovarian cancer: A comprehensive review from economic evaluations to patient perspectivesFilomena Ficarazzi0Manuela Vecchi1Maurizio Ferrari2Marco A. Pierotti3Cogentech Ltd Benefit Corp, Via Adamello 16, 20139, Milan, ItalyCogentech Ltd Benefit Corp, Via Adamello 16, 20139, Milan, ItalyCogentech Ltd Benefit Corp, Via Adamello 16, 20139, Milan, Italy; Vita-Salute San Raffaele University, Via Olgettina 58, 20132, Milan, ItalyCogentech Ltd Benefit Corp, Via Adamello 16, 20139, Milan, Italy; IFOM, Fondazione Istituto FIRC di Oncologia Molecolare, Via Adamello 16, 20139, Milan, Italy; Corresponding author. Cogentech Ltd Benefit Corp, Via Adamello 16, 20139, Milan, Italy.Genetic testing for hereditary breast and ovarian cancer following genetic counseling is based on guidelines that take into account particular features of the personal and family history, and clinical criteria conferring a probability of having a BRCA mutation greater than 10% as a threshold for accessing the test. However, besides reducing mortality and social impact, the extension of screening programs also for healthy family members would allow a huge saving of the rising costs associated with these pathologies, supporting the choice of the “Test” strategy versus a “No Test” one. Analyses of different health care systems show that by applying the “Test” strategy on patients and their families, a decrease in breast and ovarian cancer cases is achieved, as well as a substantial decrease in costs of economic resources, including the costs of the clinical management of early detected tumors.In this review, we analyzed the most recent papers published on this topic and we summarized the findings on the economic evaluations related to breast and ovarian cancer population screenings. These results proved and validated that the population-wide testing approach is a more accurate screening and preventive intervention than traditional guidelines based on personal/family history and clinical criteria to reduce breast and ovarian cancer risk.http://www.sciencedirect.com/science/article/pii/S0960977621003714BRCABreast cancerOvarian cancerNGS molecular TestingPopulation screeningCost-effectiveness analysis
collection DOAJ
language English
format Article
sources DOAJ
author Filomena Ficarazzi
Manuela Vecchi
Maurizio Ferrari
Marco A. Pierotti
spellingShingle Filomena Ficarazzi
Manuela Vecchi
Maurizio Ferrari
Marco A. Pierotti
Towards population-based genetic screenings for breast and ovarian cancer: A comprehensive review from economic evaluations to patient perspectives
Breast
BRCA
Breast cancer
Ovarian cancer
NGS molecular Testing
Population screening
Cost-effectiveness analysis
author_facet Filomena Ficarazzi
Manuela Vecchi
Maurizio Ferrari
Marco A. Pierotti
author_sort Filomena Ficarazzi
title Towards population-based genetic screenings for breast and ovarian cancer: A comprehensive review from economic evaluations to patient perspectives
title_short Towards population-based genetic screenings for breast and ovarian cancer: A comprehensive review from economic evaluations to patient perspectives
title_full Towards population-based genetic screenings for breast and ovarian cancer: A comprehensive review from economic evaluations to patient perspectives
title_fullStr Towards population-based genetic screenings for breast and ovarian cancer: A comprehensive review from economic evaluations to patient perspectives
title_full_unstemmed Towards population-based genetic screenings for breast and ovarian cancer: A comprehensive review from economic evaluations to patient perspectives
title_sort towards population-based genetic screenings for breast and ovarian cancer: a comprehensive review from economic evaluations to patient perspectives
publisher Elsevier
series Breast
issn 1532-3080
publishDate 2021-08-01
description Genetic testing for hereditary breast and ovarian cancer following genetic counseling is based on guidelines that take into account particular features of the personal and family history, and clinical criteria conferring a probability of having a BRCA mutation greater than 10% as a threshold for accessing the test. However, besides reducing mortality and social impact, the extension of screening programs also for healthy family members would allow a huge saving of the rising costs associated with these pathologies, supporting the choice of the “Test” strategy versus a “No Test” one. Analyses of different health care systems show that by applying the “Test” strategy on patients and their families, a decrease in breast and ovarian cancer cases is achieved, as well as a substantial decrease in costs of economic resources, including the costs of the clinical management of early detected tumors.In this review, we analyzed the most recent papers published on this topic and we summarized the findings on the economic evaluations related to breast and ovarian cancer population screenings. These results proved and validated that the population-wide testing approach is a more accurate screening and preventive intervention than traditional guidelines based on personal/family history and clinical criteria to reduce breast and ovarian cancer risk.
topic BRCA
Breast cancer
Ovarian cancer
NGS molecular Testing
Population screening
Cost-effectiveness analysis
url http://www.sciencedirect.com/science/article/pii/S0960977621003714
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