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Updated: Aug 5, 2026
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Generation of Heterogeneous Drug Gradients Across Cancer Populations on a Microfluidic Evolution Accelerator for Real-Time Observation
Published on: September 19, 2019
Developmentally constrained plasticity as a therapeutic vulnerability in cancer
Jie-Shen Xian1, Yuan-Xiang Yang2, Wei-Ling Li3
1The First Clinical School of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, 511436, China.
Neoplasia (New York, N.Y.)
|July 29, 2026
Summary
Cancer cells adapt to therapy through phenotypic plasticity, entering reversible states or switching lineages. Understanding these resistance modes guides targeted cancer treatments by classifying tumor adaptability and lineage dependency.
Area of Science:
- Oncology
- Developmental Biology
- Cancer Cell Biology
Background:
- Cancer cells exhibit phenotypic heterogeneity, adapting to therapeutic pressures by exploiting developmental programs.
- Tumor resistance can manifest as preserved lineage dependency, reversible persister states, or stable alternative lineage programs.
Purpose of the Study:
- To frame malignant plasticity within developmental constraints, identifying factors that bias accessible state transitions under therapy.
- To classify cancer resistance into three distinct modes: lineage-maintained, adaptive reversible plasticity, and fixed reprogramming.
- To guide therapeutic strategies based on identified resistance modes.
Main Methods:
- Conceptual framework integrating cell of origin, lineage history, genetic, epigenetic, and tumor microenvironment factors.
- Classification of resistance into lineage-maintained, adaptive reversible plasticity, and fixed reprogramming modes.
- Discussion of multi-omics and perturbational designs for assessing state transition capacity and reversibility.
Main Results:
- Malignant plasticity is developmentally constrained, influenced by multiple biological factors.
- Three distinct modes of cancer resistance are identified: lineage-maintained, adaptive reversible, and fixed reprogramming.
- Therapeutic strategies should be tailored to the specific resistance mode, distinguishing between reversible and fixed states.
Conclusions:
- A resistance-mode-guided approach refines therapeutic hypotheses and avoids overgeneralization across cancer types.
- Understanding the plasticity and lineage dynamics of cancer is crucial for developing effective treatment strategies.
- Multi-omics and functional studies are essential for characterizing cancer plasticity and guiding personalized therapy.
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