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Seyedi, Sareh

https://orcid.org/0009-0006-3263-2055

Mayo Clinic

Arizona State University

Citations 2

Resistance Management for Cancer: Lessons from Farmers
Seyedi, Sareh , Harris, Valerie , Kapsetaki, Stefania E. , Narayanan, Shrinath , Saha, Daniel , Compton, Zachary T. , Yousefi, Rezvan , May, Alexander , Fakir, Efe , Boddy, Amy M. , Mina, Lida A. , Gouge, Dawn H. , Cisneros, Luis , Ellsworth, Peter C. , Harris, Valerie K , Compton, Zachary , Gerlinger, Marco , Wu, Christina , Mina, Lida , Huijben, Silvie , Gouge, Dawn H , Cisneros, Luis H , Ellsworth, Peter C , Maley, Carlo C. , Wu, Christina

Cancer Research | October 2, 2024 | Volume: 84 | Issue: 22 | Pages: 3715-3727

10.1158/0008-5472.can-23-3374 Get It

Abstract One of the main reasons we have not been able to cure cancers is that treatments select for drug-resistant cells. Pest managers face similar challenges with pesticides selecting for pesticide-resistant insects, resulting in similar mechanisms of resistance. Pest managers have developed 10 principles that could be translated to controlling cancers: (i) prevent onset, (ii) monitor continuously, (iii) identify thresholds below which there will be no intervention, (iv) change interventions in response to burden, (v) preferentially select nonchemical control methods, (vi) use target-specific drugs, (vii) use the lowest effective dose, (viii) reduce cross-resistance, (ix) evaluate success based on long-term management, and (x) forecast growth and response. These principles are general to all cancers and cancer drugs and so could be employed broadly to improve oncology. Here, we review the parallel difficulties in controlling drug resistance in pests and cancer cells. We show how the principles of resistance management in pests might be applied to cancer. Integrated pest management inspired the development of adaptive therapy in oncology to increase progression-free survival and quality of life in patients with cancers where cures are unlikely. These pest management principles have the potential to inform clinical trial design.
Testing Adaptive Therapy Protocols Using Gemcitabine and Capecitabine in a Preclinical Model of Endocrine-Resistant Breast Cancer
Seyedi, Sareh , Teo, Ruthanne, Foster, Luke , Saha, Daniel , Mina, Lida A. , Northfelt, Donald W. , Anderson, Karen S. , Gatenby, Robert A. , Cisneros, Luis , Troan, Brigid V. , Anderson, Alexander R.A. , Maley, Carlo C. , Mina, Lida, Gatenby, Robert , Cisneros, Luis H , Troan, Brigid , Anderson, Alexander R A , Maley, Carlo C. , Foster, Luke, Shibata, Darryl K.

Cancers | January 8, 2024 | Volume: 16 | Issue: 2 | Pages: 257

10.3390/cancers16020257 Get It

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.