Literature DB >> 12525764

Estimation of individualized probabilities of developing breast cancer for Japanese women.

Kimiko Ueda1, Hideaki Tsukuma, Hideo Tanaka, Wakiko Ajiki, Akira Oshima.   

Abstract

BACKGROUND: Projecting individualized probabilities of developing breast cancer is needed for counseling and chemoprevention for Japanese women, in whom breast cancer incidence has been rapidly increasing.
METHODS: We calculated individualized probabilities of developing breast cancer within 10-20 years and until life expectancy for Japanese women by multiplying the relative risk for each risk factor combination by the cumulative risk for the reference group. The risk factors used were age at menarche, age at first delivery, family history of breast cancer, and body mass index (BMI) (in post-menopausal women). The relative risk by menopausal status for each risk factor combination was estimated from a case control study conducted at Osaka Medical Center for Cancer and Cardiovascular Diseases (OMCC), Japan. The cumulative risk of breast cancer for the reference group within 10-20 years and until life expectancy was estimated to divide the corresponding cumulative risk for Japanese women by the weighted average of the relative risk. The weight is an expected proportion of those who have each risk factor combination among the general population. The cumulative risk for Japanese women was estimated using a data file from the Osaka Cancer Registry (OCR).
RESULTS: We obtained cumulative risks for any age women within a certain range according to various risk factor combinations by menopausal state. For example, the highest risk group had about a 5 times higher risk probability of developing breast cancer than the general population at initial age 40, within 10-20 years, and until life expectancy.
CONCLUSION: The cumulative risk of breast cancer varied according to individuals' risk factors among Japanese women. The availability of concrete individualized risk estimation figures will be of use to health care providers in encouraging Japanese women to seek counseling and to adopt self-control of body weight as a primary preventive measure, as well as to have breast cancer screening.

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Mesh:

Year:  2003        PMID: 12525764     DOI: 10.1007/bf02967626

Source DB:  PubMed          Journal:  Breast Cancer        ISSN: 1340-6868            Impact factor:   4.239


  7 in total

Review 1.  Prevention of breast cancer in postmenopausal women: approaches to estimating and reducing risk.

Authors:  Steven R Cummings; Jeffrey A Tice; Scott Bauer; Warren S Browner; Jack Cuzick; Elad Ziv; Victor Vogel; John Shepherd; Celine Vachon; Rebecca Smith-Bindman; Karla Kerlikowske
Journal:  J Natl Cancer Inst       Date:  2009-03-10       Impact factor: 13.506

2.  Development of a Cancer Risk Prediction Tool for Use in the UK Primary Care and Community Settings.

Authors:  Artitaya Lophatananon; Juliet Usher-Smith; Jackie Campbell; Joanne Warcaba; Barbora Silarova; Erika A Waters; Graham A Colditz; Kenneth R Muir
Journal:  Cancer Prev Res (Phila)       Date:  2017-05-30

Review 3.  Review of non-clinical risk models to aid prevention of breast cancer.

Authors:  Kawthar Al-Ajmi; Artitaya Lophatananon; Martin Yuille; William Ollier; Kenneth R Muir
Journal:  Cancer Causes Control       Date:  2018-09-03       Impact factor: 2.506

4.  Breast cancer risk prediction in women aged 35-50 years: impact of including sex hormone concentrations in the Gail model.

Authors:  Tess V Clendenen; Wenzhen Ge; Karen L Koenig; Yelena Afanasyeva; Claudia Agnoli; Louise A Brinton; Farbod Darvishian; Joanne F Dorgan; A Heather Eliassen; Roni T Falk; Göran Hallmans; Susan E Hankinson; Judith Hoffman-Bolton; Timothy J Key; Vittorio Krogh; Hazel B Nichols; Dale P Sandler; Minouk J Schoemaker; Patrick M Sluss; Malin Sund; Anthony J Swerdlow; Kala Visvanathan; Anne Zeleniuch-Jacquotte; Mengling Liu
Journal:  Breast Cancer Res       Date:  2019-03-19       Impact factor: 6.466

5.  A systematic review and quality assessment of individualised breast cancer risk prediction models.

Authors:  Javier Louro; Margarita Posso; Michele Hilton Boon; Marta Román; Laia Domingo; Xavier Castells; María Sala
Journal:  Br J Cancer       Date:  2019-05-22       Impact factor: 7.640

Review 6.  The current status of risk-stratified breast screening.

Authors:  Ash Kieran Clift; David Dodwell; Simon Lord; Stavros Petrou; Sir Michael Brady; Gary S Collins; Julia Hippisley-Cox
Journal:  Br J Cancer       Date:  2021-10-26       Impact factor: 9.075

7.  Economic evaluation of chemoprevention of breast cancer with tamoxifen and raloxifene among high-risk women in Japan.

Authors:  M Kondo; S-L Hoshi; M Toi
Journal:  Br J Cancer       Date:  2009-01-13       Impact factor: 7.640

  7 in total

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