Cancer drug response and resistance: molecular mechanisms and combating strategies

Despite remarkable advances in cancer drug treatment, including chemotherapy, targeted therapy, and immunotherapy, therapeutic resistance remains a formidable clinical barrier, limiting durable responses and long-term survival. Drug resistance can be broadly categorized as intrinsic, where tumors fail to respond to initial treatment, or acquired, which emerges during or after therapy due to adaptive or evolutionary processes. A comprehensive understanding of the multifactorial and dynamic nature of resistance is essential for improving treatment efficacy. In this review, we systematically examine the molecular and cellular determinants of drug response and resistance across 22 cancer types, highlighting key resistance mechanisms such as compensatory pathway activation, phenotypic plasticity, immune evasion, enhanced DNA damage repair, and the survival of drug-tolerant persister cells. These mechanisms are further contextualized across major therapeutic modalities, supported by clinical trials. We also present emerging strategies to overcome resistance, including rational drug combinations, novel agents, microbiome modulation, adaptive and intermittent therapies and advanced drug delivery systems, each illustrated with representative clinical studies. Moreover, we discuss cutting-edge tools that are revolutionizing resistance research, including single-cell and spatial multiomic profiling, patient-derived tumor organoid and xenograft (PDO/PDX) models, and artificial intelligence (AI)-powered predictive analytics. By integrating insights across molecular, cellular, and clinical dimensions, this review offers a strategic framework for understanding and tackling cancer drug resistance, with important translational implications for the future of precision oncology.

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Publication Details

Journal
Signal Transduction and Targeted Therapy
Published
2026-08-03
DOI
https://doi.org/10.1038/s41392-026-02924-w
Primary Topic
Melanoma and MAPK Pathways
Type
article
Field-Weighted Citation Impact
0.00

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article

Cancer drug response and resistance: molecular mechanisms and combating strategies

Miaochun Xu, Canhui Cao, Juncheng Wei, Xiaoxia Cheng
Signal Transduction and Targeted Therapy
Melanoma and MAPK Pathways
article

Cancer drug response and resistance: molecular mechanisms and combating strategies

Miaochun Xu, Canhui Cao, Juncheng Wei, Xiaoxia Cheng
article en

Abstract

Despite remarkable advances in cancer drug treatment, including chemotherapy, targeted therapy, and immunotherapy, therapeutic resistance remains a formidable clinical barrier, limiting durable responses and long-term survival. Drug resistance can be broadly categorized as intrinsic, where tumors fail to respond to initial treatment, or acquired, which emerges during or after therapy due to adaptive or evolutionary processes. A comprehensive understanding of the multifactorial and dynamic nature of resistance is essential for improving treatment efficacy. In this review, we systematically examine the molecular and cellular determinants of drug response and resistance across 22 cancer types, highlighting key resistance mechanisms such as compensatory pathway activation, phenotypic plasticity, immune evasion, enhanced DNA damage repair, and the survival of drug-tolerant persister cells. These mechanisms are further contextualized across major therapeutic modalities, supported by clinical trials. We also present emerging strategies to overcome resistance, including rational drug combinations, novel agents, microbiome modulation, adaptive and intermittent therapies and advanced drug delivery systems, each illustrated with representative clinical studies. Moreover, we discuss cutting-edge tools that are revolutionizing resistance research, including single-cell and spatial multiomic profiling, patient-derived tumor organoid and xenograft (PDO/PDX) models, and artificial intelligence (AI)-powered predictive analytics. By integrating insights across molecular, cellular, and clinical dimensions, this review offers a strategic framework for understanding and tackling cancer drug resistance, with important translational implications for the future of precision oncology.

Signal Transduction and Targeted TherapyVol. 11(1)
Union Hospital (HK), Sun Yat-sen University (CN), Sun Yat-sen Memorial Hospital (CN), Shanxi Academy of Medical Sciences (CN), Tongji Hospital (CN), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Natural Science Foundation of Hubei Province, Tongji University, National Key Laboratory of Science and Technology on Communications, Servier
Good health and well-being
Openalex Percentile: Top 16%
Melanoma and MAPK Pathways
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