Novel Holistic Approaches for Overcoming Therapy Resistance in Pancreatic and Colon Cancers

Fazlul H Sarkar1

  • 1Departments of Pathology and Oncology, Karmanos Cancer Institute, Wayne State University, Detroit, Mich., USA.

Insights

Gastrointestinal cancers resist therapy due to complex signaling networks. Natural agents may overcome this resistance by targeting multiple pathways and cancer stem cells.

Area of Science:

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background:

  • Gastrointestinal (GI) cancers, including colon and pancreatic cancers, exhibit high resistance to conventional and targeted therapies.
  • Therapy resistance in GI cancers is driven by complex signaling networks (the resistome), aberrant microRNA (miRNA) expression, and epithelial-to-mesenchymal transition (EMT) in cancer stem cells.
  • Current treatment strategies often fail due to a limited understanding of these resistance mechanisms and a focus on single-target approaches.

Purpose of the Study:

  • To review the challenges in understanding GI cancer resistance networks.
  • To explore the potential of network-based therapeutic strategies, particularly natural agents, for overcoming drug resistance.
  • To highlight the role of computational biology in designing effective therapies against the GI cancer resistome.

Main Methods:

  • Review of existing literature on GI cancer resistance mechanisms.
  • Analysis of signaling pathways, miRNA interactions, and cancer stem cell biology.
  • Discussion of natural agents and their potential multi-targeted effects.

Main Results:

  • GI cancer resistance involves intricate networks (resistome) that promote survival of drug-resistant cancer stem cells with EMT characteristics.
  • Natural agents show potential to modulate miRNA profiles, suppress EMT, and eliminate cancer stem cells.
  • The efficacy of natural agents in combination against the GI cancer resistome remains largely unstudied.

Conclusions:

  • Overcoming GI cancer resistance requires a network-based approach, moving beyond single-target strategies.
  • Natural agents offer a promising, low-toxicity avenue for targeting multiple resistance networks simultaneously.
  • Computational biology tools are crucial for identifying and designing novel combination therapies to combat GI cancer resistance.

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