Mayo Clinic Laboratory and Pathology Research Roundup: April 30

The Research Roundup provides an overview of the past week’s research from Mayo Medical Laboratories consultants, including featured abstracts and complete list of published studies and reviews.

Featured Abstract

Model for Predicting Breast Cancer Risk in Women With Atypical Hyperplasia

Women with atypical hyperplasia (AH) on breast biopsy have an aggregate increased risk of breast cancer (BC), but existing risk prediction models do not provide accurate individualized estimates of risk in this subset of high-risk women. Here, Mayo Clinic researchers used the Mayo benign breast disease cohort to develop and validate a model of BC risk prediction that is specifically for women with AH, which we have designated as AH-BC. Retrospective cohorts of women age 18 to 85 years with pathologically confirmed benign AH from Rochester, MN, and Nashville, TN, were used for model development and external validation, respectively. The model-building set consisted of 699 women with AH, 142 of whom developed BC, and the external validation set consisted of 461 women with 114 later BC events. The final AH-BC model included three covariates: age at biopsy, age at biopsy squared, and number of foci of AH. Researchers created a new model with which to refine BC risk prediction for women with AH. The AH-BC model demonstrates good discrimination and calibration, and it validates in an external data set.  The study was published in the Journal of Clinical Oncology.

Published to PubMed This Week

Kelley Luedke

Kelley Luedke is a Marketing Channel Manager at Mayo Clinic Laboratories. She is the principle editor and writer of Insights and leads social media and direct marketing strategy. Kelley has worked at Mayo Clinic since 2013. Outside of work, you can find Kelley running, traveling, playing with her kitty, and exploring new foods.