A Co-clinical Trial of Exercise Therapy in Breast Cancer Prevention
Apr 4, 2025·,,,,,,,,,,,,,,,,,
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Lee W. Jones
Jessica A. Lavery
Brandon L. Tsai
Chaya S. Moskowitz
Catherine P. Lee
Jenna Harrison
Meghan Michalski
Kurtis Stoeckel
Courtenay Graham
Neil M. Iyengar
Umesh Bhanot
Irina Linkov
Mala Jain
Maxine S. Jochelson
Mara Monetti
Victoria L. Seewaldt
Melissa Pilewskie
Patrick Pribil
Chenghao Zhu
Jaron Arbet
Debra A. Mangino
Paul C. Boutros
Abstract
Purpose: We conducted a mouse–human co-clinical trial to evaluate the biological efficacy of exercise therapy in breast cancer prevention.
Patients and Methods: In a phase I randomized trial, 75 nonexercising women at high risk of breast cancer were allocated to receive (1:1 ratio) usual care or one of three exercise therapy dose regimens: 75, 150, or 300 minutes/week for 24 consecutive weeks. Biological efficacy was evaluated by changes in breast epithelial cell proliferation (Ki67). Correlative proteomic analysis of paired tissue and plasma samples was also performed. A corresponding preclinical study tested the dose–response effect of exercise therapy on breast tumor latency.
Results: Change in Ki67 was not different between groups (global P value = 0.2). Among participants with paired Ki67 measures, the mean (SD) change in Ki67 was: −1.26 (4.32) for 75 minutes/week, −1.74 (5.04) for 150 minutes/week, −0.45 (5.16) for 300 minutes/week, and 3.40 (5.53) for usual care (global P value = 0.04). Only 150 minutes/week is associated with significant reductions in Ki67 compared with usual care (Bonferroni-adjusted P value = 0.03). The “response rate” (reduction in Ki67) was 29% for usual care compared with 52% for 150 minutes/week. Proteomics revealed a marked reduction in genes involved in epithelial–mesenchymal transition in the tissues of responding patients. In the preclinical study, only 150 minutes/week significantly delayed tumor latency compared with control (Benjamini–Hochberg-adjusted P value = 0.02).
Conclusions: Exercise therapy is a promising strategy for the early interception of breast cancer in high-risk women.
Type
Publication
Clinical Cancer Research

Authors
Research Assistant Professor
Chenghao Zhu is a Research Assistant Professor in the NCI-designated Cancer
Center at Sanford Burnham Prebys. His research focuses on developing
computational methods and software for proteogenomics and applying
proteogenomics to cancer diagnosis, prognosis, and clinico-epidemiologic
questions.