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Published on: October 30, 2013
Therapy-Driven Molecular Evolution of Bladder Cancer: Roles of Cellular Plasticity and Tumor Microenvironment
Seung-Woo Baek1, Seo-Young Yoon2,3, Seon-Kyu Kim1,4
1Genomic Medicine Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, Republic of Korea.
Abstract:
Drug resistance remains a significant barrier to achieving durable treatment responses. Traditionally, resistance has been attributed to genetic alterations and clonal selection. However, accumulating evidence suggests that early adaptation to therapy is often mediated by non-genetic state transitions. In this review, we propose a conceptual framework in which resistance emerges through therapy-driven molecular evolution in bladder cancer, characterized by three interconnected axes: non-genetic plasticity, metabolic reorganization, and tumor microenvironment remodeling. Using the Gemcitabine-Resistant Cell (GRC) model as a temporal reference system, we describe a stepwise transition from drug-sensitive states dominated by proliferation to survival-optimized resistant states through a growth-survival trade-off. Early adaptive phases are marked by the attenuation of cell-cycle and glycolytic programs, increased epigenetic flexibility, and metabolic rewiring involving mitochondrial and lipid-associated pathways. Later phases involve the reinforcement of resistance through extracellular matrix remodeling, developmental and stress-response signaling, and immunometabolic interactions within the tumor microenvironment, including adenosine- and lipid-associated mediators. Projecting the GRC score onto a clinical bladder cancer cohort further suggests that these evolutionary patterns may also be reflected in patient tumors. Overall, this framework supports a temporally structured view of chemoresistance and highlights opportunities to therapeutically target transitional adaptive states before resistance becomes stabilized.
Insights
Drug resistance in bladder cancer evolves non-genetically through adaptive states. Targeting these early transitional phases offers new therapeutic opportunities before resistance stabilizes.
Area of Science:
- Oncology
- Molecular Biology
- Cancer Evolution
Background:
- Drug resistance is a major obstacle to effective cancer treatment.
- Genetic alterations are traditionally viewed as the primary driver of resistance.
- Non-genetic state transitions are increasingly recognized as crucial in early therapy adaptation.
Purpose of the Study:
- To propose a conceptual framework for therapy-driven molecular evolution of chemoresistance in bladder cancer.
- To elucidate the interconnected roles of non-genetic plasticity, metabolic reorganization, and tumor microenvironment remodeling.
- To identify potential therapeutic targets in early adaptive states.
Main Methods:
- Utilized the Gemcitabine-Resistant Cell (GRC) model as a temporal reference.
- Described stepwise transitions from drug-sensitive to resistant states.
- Analyzed molecular and cellular changes including cell-cycle, metabolism, epigenetics, and tumor microenvironment.
- Projected GRC scores onto a clinical bladder cancer cohort.
Main Results:
- Characterized a growth-survival trade-off during the transition to resistance.
- Identified early adaptive phases involving attenuated proliferation and metabolic rewiring.
- Highlighted later phases with reinforced resistance via tumor microenvironment remodeling and immunometabolic interactions.
- Observed potential correlation between GRC scores and clinical tumor evolution.
Conclusions:
- Chemoresistance emerges through a temporally structured, non-genetic evolutionary process.
- Therapeutic targeting of transitional adaptive states is a promising strategy.
- Understanding these evolutionary dynamics can improve treatment durability in bladder cancer.
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