Overview of Preclinical Drug‐Resistant Tumor Models and Their Application in Drug Discovery

Cancer drug resistance, whether intrinsic or acquired, underlies most relapses and treatment failures. Reliable preclinical models are crucial to define resistance mechanisms and test counterstrategies. This overview article concisely compares three model classes: (1) clinical, patient‑derived xenografts that retain tumor heterogeneity and can mirror patient resistance; (2) induced‑resistance models produced by prolonged drug selection in vivo or in vitro that recapitulate tumor evolution under therapy; and (3) engineered isogenic cell lines that isolate specific resistance drivers. We summarize some key resistance mechanisms revealed and potential therapeutic approaches informed by these models, including rational combinations, mutation‑targeted inhibitors/degraders, efflux/epigenetic modulators, and immune-related combinations. Each model has trade‑offs, but integrating them accelerates mechanistic insight and translational drug development. This overview guides selection of preclinical models and design of strategies to overcome cancer drug resistance. © 2025 Wiley Periodicals LLC.

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Publication Details

Journal
Current Protocols
Published
2025-12-01
DOI
https://doi.org/10.1002/cpz1.70282
Primary Topic
Cancer Research and Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Overview of Preclinical Drug‐Resistant Tumor Models and Their Application in Drug Discovery

Gaoxiang Liu, Wenting Shi, Ting Ni, Zhixiang Zhang et al.
Current Protocols
Cancer Research and Treatments
article

Overview of Preclinical Drug‐Resistant Tumor Models and Their Application in Drug Discovery

Gaoxiang Liu, Wenting Shi, Ting Ni, Zhixiang Zhang, Jian Xiang, Dong Wang, Qingyang Gu, Li Guo
article en

Abstract

Cancer drug resistance, whether intrinsic or acquired, underlies most relapses and treatment failures. Reliable preclinical models are crucial to define resistance mechanisms and test counterstrategies. This overview article concisely compares three model classes: (1) clinical, patient‑derived xenografts that retain tumor heterogeneity and can mirror patient resistance; (2) induced‑resistance models produced by prolonged drug selection in vivo or in vitro that recapitulate tumor evolution under therapy; and (3) engineered isogenic cell lines that isolate specific resistance drivers. We summarize some key resistance mechanisms revealed and potential therapeutic approaches informed by these models, including rational combinations, mutation‑targeted inhibitors/degraders, efflux/epigenetic modulators, and immune-related combinations. Each model has trade‑offs, but integrating them accelerates mechanistic insight and translational drug development. This overview guides selection of preclinical models and design of strategies to overcome cancer drug resistance. © 2025 Wiley Periodicals LLC.

Current ProtocolsVol. 5(12)
WuXi AppTec (China) (CN)
Openalex Percentile: Top 59%
Cancer Research and Treatments
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