PLK1 inhibition-based combination therapies for cancer management

Shengqin Su1, Gagan Chhabra1, Chandra K Singh1

  • 1Department of Dermatology, University of Wisconsin, Wisconsin Institutes for Medical Research, 1111 Highland Avenue, Room 7045, Madison, WI 53705, USA.

Translational Oncology
|January 1, 2022
PubMed

Insights

Polo-like kinase I (PLK1) inhibitors show promise in combination cancer therapy. Further research is needed to identify optimal co-targets for improved patient survival and overcome resistance.

Area of Science:

  • Oncology
  • Molecular Biology
  • Pharmacology

Background:

  • Polo-like kinase I (PLK1) is a cell cycle regulator with oncogenic functions in various cancers.
  • Existing PLK1 inhibitors demonstrate good tolerability and pharmacokinetics but have limited clinical success, particularly in advanced stages.
  • Combination therapies targeting multiple pathways are emerging as a strategy for improved cancer management.

Purpose of the Study:

  • To review the structure, function, and role of PLK1 in cancer.
  • To critically evaluate PLK1-specific inhibitors and the advantages of combination therapy over monotherapy.
  • To highlight recent advancements, challenges, and future directions in PLK1-based combination cancer therapies.

Main Methods:

  • Review of existing literature on PLK1, its inhibitors, and combination therapies.
  • Analysis of in vitro and in vivo studies evaluating PLK1 inhibitor combinations.
  • Exploration of network-based analysis to identify potential PLK1 co-targets.

Main Results:

  • PLK1 inhibitors combined with chemotherapy or targeted small molecules show superior anti-cancer effects, increasing apoptosis and disrupting cell cycles.
  • Combination therapies demonstrate potential to overcome cancer cell resistance compared to monotherapies.
  • Clinical trials show initial success, but some studies indicate a failure to improve patient survival, necessitating further investigation.

Conclusions:

  • PLK1-based combination therapies offer a promising strategy for cancer treatment, enhancing efficacy and potentially overcoming resistance.
  • Identifying novel, biologically informed co-targets through methods like network-based analysis is crucial for optimizing combinatorial approaches.
  • Further research into the synergistic mechanisms between PLK1 inhibitors and other agents is essential for developing effective, personalized cancer therapies.

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