Literature DB >> 33892705

Cost effectiveness analysis of a polygenic risk tailored breast cancer screening programme in Singapore.

Jerry Zeng Yang Wong1, Jia Hui Chai2, Yen Shing Yeoh2, Nur Khaliesah Mohamed Riza2, Jenny Liu2, Yik-Ying Teo1,2, Hwee Lin Wee3,4, Mikael Hartman2,5.   

Abstract

BACKGROUND: This study aimed to evaluate the cost-effectiveness of a breast cancer screening programme that incorporates genetic testing using breast cancer associated single nucleotide polymorphisms (SNPs), against the current biennial mammogram-only screening programme to aid in its implementation into the current programme in Singapore.
METHODS: A Markov model was used to compare the costs and health outcomes of the current screening programme, against a polygenic risk-tailored screening programme, which can advise a long-term screening strategy depending on the individual's polygenic risk. The model took the perspective of the healthcare system, with a time horizon of 40 years, following women from the age of 35 to 74. Epidemiological and cost data were taken from Asian studies, and an annual discount rate of 3% was used. The model outcome was the incremental cost-effectiveness ratio (ICER), calculated from the difference in costs per quality-adjusted life year (QALY). Scenarios with varying risk thresholds for each polygenic risk group were examined. One-way and probabilistic sensitivity analyses were performed to assess parameter uncertainty.
RESULTS: The ICER for a polygenic risk-tailored breast cancer screening programme, compared with the current biennial mammogram-only screening programme, was - 3713.80 SGD/QALY, with incremental costs < 0 and incremental effects > 0. The scenario analysis of different polygenic risk cutoffs showed that the ICERs remain negative, with all ICERs falling within the south-east quadrant of the cost-effectiveness plane, indicating that tailored screening is more cost effective than mammogram-only screening, with lower costs and higher QALYs to be gained. This suggests that a polygenic risk-tailored breast cancer screening programme is cost effective, entailing lower cost than the current mammogram-only programme, while causing no additional harm to women.
CONCLUSION: Results from this cost-effectiveness analysis show that polygenic risk-tailored screening is cost effective with an ICER of - 3713.80 SGD/QALY. Tailored screening remains cost effective even across varying percentile cutoffs for each risk group. While the results look promising for incorporating polygenic risk into the current breast cancer screening programme, further studies should be conducted to address various limitations.

Entities:  

Keywords:  Breast cancer screening; Cost effectiveness analysis; Economic evaluation; Polygenic risk scores; Risk stratification

Year:  2021        PMID: 33892705     DOI: 10.1186/s12913-021-06396-2

Source DB:  PubMed          Journal:  BMC Health Serv Res        ISSN: 1472-6963            Impact factor:   2.655


  21 in total

1.  Screening mammography beginning at age 40 years: a reappraisal of cost-effectiveness.

Authors:  C J Rosenquist; K K Lindfors
Journal:  Cancer       Date:  1998-06-01       Impact factor: 6.860

2.  Cost-effectiveness of mammographic screening in Australia.

Authors:  R Carter; P Glasziou; G van Oortmarssen; H de Koning; C Stevenson; G Salkeld; R Boer
Journal:  Aust J Public Health       Date:  1993-03

3.  Breast cancer in Singapore: some perspectives.

Authors:  Ana Richelia Jara-Lazaro; Shyamala Thilagaratnam; Puay Hoon Tan
Journal:  Breast Cancer       Date:  2009-08-22       Impact factor: 4.239

Review 4.  The Singapore National Breast Screening Programme: principles and implementation.

Authors:  S C Wang
Journal:  Ann Acad Med Singap       Date:  2003-07       Impact factor: 2.473

5.  Risk Prediction of Prostate Cancer with Single Nucleotide Polymorphisms and Prostate Specific Antigen.

Authors:  Sam Li-Sheng Chen; Jean Ching-Yuan Fann; Csilla Sipeky; Teng-Kai Yang; Sherry Yueh-Hsia Chiu; Amy Ming-Fang Yen; Virpi Laitinen; Teuvo L J Tammela; Ulf-Håkan Stenman; Anssi Auvinen; Johanna Schleutker; Hsiu-Hsi Chen
Journal:  J Urol       Date:  2019-03       Impact factor: 7.450

6.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.

Authors:  Freddie Bray; Jacques Ferlay; Isabelle Soerjomataram; Rebecca L Siegel; Lindsey A Torre; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-09-12       Impact factor: 508.702

7.  Evaluation of three polygenic risk score models for the prediction of breast cancer risk in Singapore Chinese.

Authors:  Claire Hian Tzer Chan; Prabhakaran Munusamy; Sau Yeen Loke; Geok Ling Koh; Audrey Zhi Yi Yang; Hai Yang Law; Chui Sheun Yoon; Chow Yin Wong; Wei Sean Yong; Nan Soon Wong; Raymond Chee Hui Ng; Kong Wee Ong; Preetha Madhukumar; Chung Lie Oey; Gay Hui Ho; Puay Hoon Tan; Min Han Tan; Peter Ang; Yoon Sim Yap; Ann Siew Gek Lee
Journal:  Oncotarget       Date:  2018-01-31

8.  Evaluation of polygenic risk scores for ovarian cancer risk prediction in a prospective cohort study.

Authors:  Xin Yang; Goska Leslie; Aleksandra Gentry-Maharaj; Andy Ryan; Maria Intermaggio; Andrew Lee; Jatinderpal K Kalsi; Jonathan Tyrer; Faiza Gaba; Ranjit Manchanda; Paul D P Pharoah; Simon A Gayther; Susan J Ramus; Ian Jacobs; Usha Menon; Antonis C Antoniou
Journal:  J Med Genet       Date:  2018-05-05       Impact factor: 6.318

9.  Cost-effectiveness and Benefit-to-Harm Ratio of Risk-Stratified Screening for Breast Cancer: A Life-Table Model.

Authors:  Nora Pashayan; Steve Morris; Fiona J Gilbert; Paul D P Pharoah
Journal:  JAMA Oncol       Date:  2018-11-01       Impact factor: 31.777

10.  BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors.

Authors:  Andrew Lee; Nasim Mavaddat; Amber N Wilcox; Alex P Cunningham; Tim Carver; Simon Hartley; Chantal Babb de Villiers; Angel Izquierdo; Jacques Simard; Marjanka K Schmidt; Fiona M Walter; Nilanjan Chatterjee; Montserrat Garcia-Closas; Marc Tischkowitz; Paul Pharoah; Douglas F Easton; Antonis C Antoniou
Journal:  Genet Med       Date:  2019-01-15       Impact factor: 8.822

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  2 in total

Review 1.  Breast Cancer in Asia: Incidence, Mortality, Early Detection, Mammography Programs, and Risk-Based Screening Initiatives.

Authors:  Yu Xian Lim; Zi Lin Lim; Peh Joo Ho; Jingmei Li
Journal:  Cancers (Basel)       Date:  2022-08-30       Impact factor: 6.575

2.  Development and Validation of Decision Rules Models to Stratify Coronary Artery Disease, Diabetes, and Hypertension Risk in Preventive Care: Cohort Study of Returning UK Biobank Participants.

Authors:  José Castela Forte; Pytrik Folkertsma; Rahul Gannamani; Sridhar Kumaraswamy; Sarah Mount; Tom J de Koning; Sipko van Dam; Bruce H R Wolffenbuttel
Journal:  J Pers Med       Date:  2021-12-07
  2 in total

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