Journal Article

DKFZ-2023-01394

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png A framework for assessing interactions for risk stratification models: the example of ovarian cancer.

Phung, M. T. ; Lee, A. W. ; McLean, K. ; Anton-Culver, H. ; Bandera, E. V. ; Carney, M. E. ; Chang-Claude, J.DKFZ* ; Cramer, D. W. ; Doherty, J. A. ; Turzanski-Fortner, R.DKFZ* ; Goodman, M. T. ; Harris, H. R. ; Jensen, A. ; Modugno, F. ; Moysich, K. B. ; Pharoah, P. D. P. ; Qin, B. ; Terry, K. L. ; Titus, L. J. ; Webb, P. M. ; Group, A. O. C. S. (Collaboration Author) ; Wu, A. H. ; Zeinomar, N. ; Ziogas, A. ; Berchuck, A. ; Cho, K. R. ; Hanley, G. E. ; Meza, R. ; Mukherjee, B. ; Pike, M. C. ; Pearce, C. L. ; Trabert, B. ; Consortium, O. C. A. (Collaboration Author)

2023
Oxford Univ. Press Oxford

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Please use a persistent id in citations: doi:10.1093/jnci/djad137

Abstract: Generally, risk stratification models for cancer use effect estimates from risk/protective factor analyses that have not assessed potential interactions between these exposures. We have developed a four-criterion framework for assessing interactions which includes statistical, qualitative, biological, and practical approaches. Using ovarian cancer, we present the application of the framework as this is an important step in developing more accurate risk stratification models. Using data from nine case-control studies in the Ovarian Cancer Association Consortium, we conducted a comprehensive analysis of interactions between 15 unequivocal risk/protective factors for ovarian cancer (including 14 non-genetic factors and a 36-variant polygenic score) with age and menopausal status. Pairwise interactions between the risk/protective factors were also assessed. We found that menopausal status modifies the association between endometriosis, first degree family history of ovarian cancer, breastfeeding, and depot-medroxyprogesterone acetate use and disease risk, highlighting the importance of understanding multiplicative interactions when developing risk prediction models.

Note: 2023 Nov 8;115(11):1420-1426

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Contributing Institute(s):

1. C020 Epidemiologie von Krebs (C020)

Research Program(s):

1. 313 - Krebsrisikofaktoren und Prävention (POF4-313) (POF4-313)

Appears in the scientific report 2023

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Database coverage:
; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; Current Contents - Life Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 10 ; JCR ; Nationallizenz ; PubMed Central ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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