Cancer drug response and resistance: molecular mechanisms and combating strategies
Xiaoxia Cheng1,2, Miaochun Xu3,4, Juncheng Wei5,6,7
1Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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.
Insights
Cancer drug resistance hinders treatment success. This review explores resistance mechanisms and strategies like drug combinations and AI to overcome it, advancing precision oncology.
Area of Science:
- Oncology
- Molecular Biology
- Pharmacology
Background:
- Therapeutic resistance is a major obstacle in cancer treatment, limiting patient survival.
- Understanding intrinsic and acquired resistance is crucial for improving treatment efficacy.
Purpose of the Study:
- To systematically review molecular and cellular determinants of cancer drug response and resistance.
- To highlight key resistance mechanisms and emerging strategies to overcome them.
- To discuss advanced tools revolutionizing resistance research.
Main Methods:
- Systematic examination of drug response and resistance across 22 cancer types.
- Contextualization of resistance mechanisms across major therapeutic modalities.
- Review of emerging strategies and cutting-edge research tools.
Main Results:
- Identified key resistance mechanisms: compensatory pathway activation, phenotypic plasticity, immune evasion, DNA repair, and persister cells.
- Presented strategies to overcome resistance: drug combinations, novel agents, microbiome modulation, adaptive therapies, and advanced delivery systems.
- Highlighted advanced tools: multiomic profiling, PDO/PDX models, and AI-powered analytics.
Conclusions:
- A comprehensive understanding of cancer drug resistance is essential for improving treatment outcomes.
- Emerging strategies and technologies offer promising avenues to tackle therapeutic resistance.
- This review provides a framework for advancing precision oncology by addressing drug resistance.
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