Highlights in Resistance Mechanism Pathways for Combination Therapy

João M A Delou1, Alana S O Souza1, Leonel C M Souza1

  • 1Institute of Biomedical Sciences, Federal University of Rio de Janeiro, Rio de Janeiro 21941-902, Brazil.

Cells
|September 5, 2019
PubMed

Insights

This review explores how understanding cancer cell signaling pathways can improve combination chemotherapy. It aims to guide the development of novel anticancer drug combinations to overcome resistance and enhance cancer cell death.

Area of Science:

  • Oncology
  • Pharmacology
  • Molecular Biology

Background:

  • Combination chemotherapy is a cornerstone of cancer treatment, yet its underlying mechanisms are often poorly understood.
  • While single anticancer agents' pathways are known, most drug combinations lack clear mechanistic insights.
  • Resistance to chemotherapy remains a significant challenge in cancer therapy.

Purpose of the Study:

  • To review common signaling pathway alterations in response to cytotoxic and targeted anticancer drugs.
  • To discuss how understanding signaling pathways can inform innovative combination therapy strategies.
  • To highlight potential combination therapies based on resistance-associated signaling pathways to improve cancer cell death.

Main Methods:

  • Literature review of signaling pathways affected by anticancer drugs.
  • Analysis of resistance mechanisms in cancer cells.
  • Compilation of updated information on chemotherapy resistance.

Main Results:

  • Identified common signaling pathway alterations induced by various anticancer treatments.
  • Detailed mechanisms of chemoresistance linked to specific signaling pathways.
  • Provided a framework for developing rational drug combinations.

Conclusions:

  • Knowledge of signaling pathways is crucial for designing effective anticancer combination therapies.
  • Targeting resistance mechanisms through pathway-informed combinations can enhance treatment efficacy.
  • This review compiles essential information to foster the development and testing of new combination strategies.

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