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.

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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