Molecularly Targeted Therapies in Oncology: Mechanisms, Resistance, and Combination Strategies

Klaudia Giercuszkiewicz-Haśnik1,2,3, Beata Morak-Młodawska4, Małgorzata Jeleń4

  • 1Department of Systems Biology and Engineering, Silesian University of Technology, 44-100 Gliwice, Poland.

Insights

Targeted cancer therapies use molecular alterations for precise treatment, reducing toxicity. This review covers small-molecule and biologic drugs, resistance mechanisms, and emerging strategies for integrated oncology care.

Area of Science:

  • Oncology
  • Pharmacology
  • Medicinal Chemistry

Background:

  • Targeted therapies offer precision oncology by matching treatments to molecular alterations.
  • This improves efficacy and reduces toxicity compared to traditional chemotherapy.

Purpose of the Study:

  • To provide an updated review of targeted treatment modalities in oncology.
  • To discuss the medicinal chemistry principles behind targeted drug discovery and optimization.
  • To explore resistance mechanisms and future directions in targeted cancer therapy.

Main Methods:

  • Synthesis of evidence on small-molecule inhibitors targeting kinases (e.g., PI3K-AKT-mTOR, RAS-RAF-MEK-ERK), apoptosis regulators (BCL-2), DNA repair (PARP), and epigenetic/metabolic targets (HDACs, BET, IDH1/2).
  • Review of biologic targeted therapies including immune checkpoint inhibitors, antibody-drug conjugates, bispecific antibodies, and cell therapies (CAR T-cells).
  • Analysis of resistance mechanisms and combination/sequential treatment strategies.

Main Results:

  • Current targeted therapies include small molecules and biologics acting on various signaling pathways and molecular targets.
  • Resistance mechanisms are common, necessitating combination or sequential approaches.
  • Emerging strategies target novel pathways like p53-MDM2/MDM4, ferroptosis, and innate immunity.

Conclusions:

  • The field is moving towards integrated strategies combining precise molecular targeting with network dynamics and resistance evolution.
  • Biomarker-guided patient stratification is crucial for optimizing biologic targeted therapies.
  • Future directions involve targeting non-canonical pathways for enhanced cancer treatment.

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