Annual Meeting of the NCI Cohort Consortium (Abstract Submission): Submission #13
Submission information
Submission Number: 13
Submission ID: 151076
Submission UUID: ff8fc90e-5f3d-453d-83f7-a899287d4ccb
Submission URI: /egrp/cohortconsortium/abstracts?cid=eb_govdel
Submission Update: /egrp/cohortconsortium/abstracts?cid=eb_govdel&token=wG6qV2qXxEfZiRhSZVo0_g919e9Yn4IzLJAxZoCrdV0
Created: Fri, 09/05/2025 - 16:53
Completed: Fri, 09/05/2025 - 16:53
Changed: Fri, 09/05/2025 - 16:53
Remote IP address: 10.208.24.102
Submitted by: Anonymous
Language: English
Is draft: No
Webform: Cohort 2025 (Abstracts Submission)
Presenter's First Name: | Reuben |
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Presenter's Last Name: | Frost |
Title (eg: professor, assistant professor, chair, etc): | |
Degree(s) | MMath |
Contact Email: | reuben.frost@icr.ac.uk |
Organization: | The Institute of Cancer Research |
Project Title: | Adding serum hormone measurement to improve the Tyrer-Cuzick breast cancer risk model in postmenopausal women |
Additional Authors |
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Abstract: | Introduction: The primary objective is to evaluate the potential of incorporating the ratio of serum estradiol (E2) and sex hormone binding globulin (SHBG) into breast cancer risk assessments using the Tyrer-Cuzick (T-C) breast cancer risk prediction model. Currently there is limited research on their integration in individual risk assessments. Methods: E2/SHBG levels will be added to the current T-C model, using a two-stage process applied to data from 2,666 cases (invasive breast cancers) and 4,512 non-cases from three nested case-control studies and one case-cohort study, all part of the B2RISK consortium to: (1) develop a statistical model to explain variation in E2 and SHBG levels based on factors in the T-C model; and (2) estimate the odds ratio with the "hormone residual" (i.e., observed minus expected E2/SHBG from (1)), adjusted for T-C 10-year risk. The model will be validated in the Breast Cancer Now Generations (BGS) prospective cohort in the UK including 42,075 eligible participants, 847 with incident breast cancer diagnosed within a 5-years follow-up. Results: Calibration of the current T-C model has been assessed in a BGS nested case-control sample with data on classical risk factors, 313-SNP polygenic risk score and mammographic density (1,777 controls and 610 breast cancer cases), using 5-year risk scores generated by T-C model v8 before adding hormones. The model was well calibrated (calibration slope 1.0 (95%CI 0.67-1.30) with an age-adjusted AUC=0.65 (95%CI 0.62-0.68). Conclusion: T-C scores are well calibrated with modest risk discrimination. Further analyses will evaluate whether adding E2/SHBG improves the model. |