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Breast and thyroid cancer: A multicenter study with Accrual to Clinical Trials Network.


ABSTRACT:

Objective

To investigate a possible link between breast and thyroid cancer.

Methods

A multicenter retrospective review of patients in the electronic medical records of six Accrual to Clinical Trial (ACT) institutions with both breast cancer and thyroid carcinoma. Each center queried its data using a predefined data dictionary. Information on thyroid and breast cancer included dates of diagnosis, histology, and patient demographics.

Results

A random-effects model was used. There were 4.24 million women's records screened, 44 605 with breast cancer and 11 846 with thyroid cancer. The relative risks observed at each institution ranged from 0.49 to 13.47. The combined risk ratio (RR) estimate was 1.77 (95% confidence interval: 0.50-5.18).

Conclusion

There was no association between the risk of developing thyroid cancer and being a breast cancer survivor compared to no history of breast cancer, but the range of relative risks among the participating institutions was wide. Our findings warrant further study of more institutions with larger sample size. Additionally, further analysis of the significance of regional RR differences may be enlightening.

SUBMITTER: Peckham M 

PROVIDER: S-EPMC9106860 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

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Publications

Breast and thyroid cancer: A multicenter study with Accrual to Clinical Trials Network.

Peckham Merry M   Spencer Horace J HJ   Syed Shorabuddin S   Armstrong William B WB   Farwell Donald Gregory DG   Gal Thomas J TJ   Goldenberg David D   Russell Marika D MD   Solis Roberto N RN   King Deanne D   Stack Brendan C BC  

Journal of surgical oncology 20220223 8


<h4>Objective</h4>To investigate a possible link between breast and thyroid cancer.<h4>Methods</h4>A multicenter retrospective review of patients in the electronic medical records of six Accrual to Clinical Trial (ACT) institutions with both breast cancer and thyroid carcinoma. Each center queried its data using a predefined data dictionary. Information on thyroid and breast cancer included dates of diagnosis, histology, and patient demographics.<h4>Results</h4>A random-effects model was used. T  ...[more]

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