Testing Adaptive Therapy Protocols Using Gemcitabine and Capecitabine in a Preclinical Model of Endocrine-Resistant Breast Cancer

Author:

Seyedi Sareh123ORCID,Teo Ruthanne2,Foster Luke1,Saha Daniel1234ORCID,Mina Lida5,Northfelt Donald5,Anderson Karen S.256,Shibata Darryl7,Gatenby Robert8ORCID,Cisneros Luis H.123ORCID,Troan Brigid9ORCID,Anderson Alexander R. A.8ORCID,Maley Carlo C.12310ORCID

Affiliation:

1. Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ 85287, USA

2. School of Life Sciences, Arizona State University, Tempe, AZ 85287, USA

3. Biodesign Center for Biocomputing, Security and Society, Arizona State University, Tempe, AZ 85287, USA

4. Division of Biology, Kansas State University, Manhattan, KS 66506, USA

5. Division of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ 85054, USA

6. Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ 85287, USA

7. Department of Pathology, University of Southern California Keck School of Medicine, Los Angeles, CA 90033, USA

8. Department of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, FL 33629, USA

9. Department of Population Health and Pathobiology, North Carolina State University College of Veterinary Medicine, Raleigh, NC 27606, USA

10. Center for Evolution and Medicine, Arizona State University, Tempe, AZ 85287, USA

Abstract

Adaptive therapy, an ecologically inspired approach to cancer treatment, aims to overcome resistance and reduce toxicity by leveraging competitive interactions between drug-sensitive and drug-resistant subclones, prioritizing patient survival and quality of life instead of killing the maximum number of cancer cells. In preparation for a clinical trial, we used endocrine-resistant MCF7 breast cancer to stimulate second-line therapy and tested adaptive therapy using capecitabine, gemcitabine, or their combination in a mouse xenograft model. Dose modulation adaptive therapy with capecitabine alone increased survival time relative to MTD but not statistically significantly (HR = 0.22, 95% CI = 0.043–1.1, p = 0.065). However, when we alternated the drugs in both dose modulation (HR = 0.11, 95% CI = 0.024–0.55, p = 0.007) and intermittent adaptive therapies, the survival time was significantly increased compared to high-dose combination therapy (HR = 0.07, 95% CI = 0.013–0.42, p = 0.003). Overall, the survival time increased with reduced dose for both single drugs (p < 0.01) and combined drugs (p < 0.001), resulting in tumors with fewer proliferation cells (p = 0.0026) and more apoptotic cells (p = 0.045) compared to high-dose therapy. Adaptive therapy favors slower-growing tumors and shows promise in two-drug alternating regimens instead of being combined.

Funder

NIH

CDMRP Breast Cancer Research Program Award

Arizona Biomedical Research Commission

Moffitt Center of Excellence for Evolutionary Therapy

Publisher

MDPI AG

Subject

Cancer Research,Oncology

Reference44 articles.

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5. Seyedi, S., Harris, V.K., Kapsetaki, S.E., Saha, D., Compton, Z., Yousefi, R., May, A., Fakir, E., Boddy, A.M., and Gerlinger, M. (2023). Resistance Management for Cancer: Lessons from Farmers. arXiv.

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