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Drug resistance: origins, evolution and characterization of genomic clones and the tumor ecosystem to optimize

Ioannis D Kyrochristos1, Demosthenes E Ziogas2, Dimitrios H Roukos3

  • 1Centre for Biosystems and Genome Network Medicine, Ioannina University, Ioannina, Greece; Department of Surgery, Ioannina University Hospital, Ioannina, Greece.

Drug Discovery Today
|April 23, 2019
PubMed

Insights

Overcoming cancer drug resistance remains challenging. This study proposes a new precision medicine approach integrating genomics and tumor ecosystems to predict and combat early treatment resistance and relapse.

Area of Science:

  • Oncology
  • Genomics
  • Cancer Biology

Background:

  • Understanding and overcoming cancer drug resistance, both intrinsic and acquired, is a significant clinical challenge.
  • Current genomic and transcriptomic analyses have not resolved the debate on major theories of drug resistance and tumor progression.
  • Transcriptional heterogeneity indicates a need for personalized drug sensitivity prediction.

Purpose of the Study:

  • To propose a novel cancer precision medicine framework.
  • To address early therapeutic resistance and cancer relapse.
  • To integrate clinicogenomic data with tumor ecosystemic concepts.

Main Methods:

  • Developing a cancer type- and stage-specific concept.
  • Focusing on clinicogenomic and tumor ecosystemic factors.
  • Analyzing evidence on transcriptional heterogeneity.

Main Results:

  • The study proposes a new conceptual framework for precision medicine.
  • It highlights the need for individualized drug sensitivity prediction.
  • It emphasizes the importance of considering tumor ecosystems.

Conclusions:

  • A cancer type- and stage-specific clinicogenomic and tumor ecosystemic approach is proposed for precision medicine.
  • This framework aims to improve the prediction and management of early therapeutic resistance and relapse.
  • Further research is needed to validate and implement this integrated concept.

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