Overcoming Resistance to Targeted Therapies in Cancer
Keara L Redmond1, Anastasia Papafili1, Mark Lawler1
1Centre for Cancer Research and Cell Biology, School of Medicine, Dentistry and Biomedical Science, Queen's University Belfast, Belfast, United Kingdom.
Abstract:
The recent discovery of oncogenic drivers and subsequent development of novel targeted strategies has significantly added to the therapeutic armamentarium of anti-cancer therapies. Targeting BCR-ABL in chronic myeloid leukemia (CML) or HER2 in breast cancer has led to practice-changing clinical benefits, while promising therapeutic responses have been achieved by precision medicine approaches in EGFR mutant lung cancer, colorectal cancer and BRAF mutant melanoma. However, although initial therapeutic responses to targeted therapies can be substantial, many patients will develop disease progression within 6-12 months. An increasing application of powerful omics-based approaches and improving preclinical models have enabled the rapid identification of secondary resistance mechanisms. Herein, we discuss how this knowledge has translated into rational, novel treatment strategies for relapsed patients in genomically selected cancer populations.
Insights
Targeted cancer therapies show promise but often face resistance. New omics approaches identify resistance mechanisms, leading to novel strategies for relapsed patients in specific cancer types.
Area of Science:
- Oncology
- Genomics
- Pharmacology
Background:
- Targeted therapies have revolutionized cancer treatment by targeting specific oncogenic drivers like BCR-ABL in chronic myeloid leukemia (CML) and HER2 in breast cancer.
- Precision medicine approaches targeting mutations such as EGFR in lung cancer and BRAF in melanoma have shown significant clinical benefits.
- Despite initial success, many patients develop disease progression within 6-12 months due to acquired resistance to targeted therapies.
Purpose of the Study:
- To discuss the identification of secondary resistance mechanisms in cancer.
- To explore how this knowledge can inform novel treatment strategies for relapsed patients.
- To highlight the application of omics-based approaches and preclinical models in understanding resistance.
Main Methods:
- Review of recent advancements in understanding oncogenic drivers and targeted therapies.
- Application of omics-based approaches (genomics, transcriptomics, etc.) to identify resistance mechanisms.
- Utilizing improved preclinical models to study drug resistance in cancer.
Main Results:
- Targeted therapies offer substantial initial responses but are often limited by acquired resistance.
- Omics-based approaches and preclinical models facilitate the rapid identification of secondary resistance mechanisms.
- Understanding resistance mechanisms enables the development of rational, novel treatment strategies.
Conclusions:
- Knowledge of resistance mechanisms is crucial for overcoming therapeutic limitations in targeted cancer therapy.
- Novel treatment strategies can be rationally designed for relapsed patients based on identified resistance mechanisms.
- Genomically selected cancer populations benefit from precision medicine approaches that address acquired resistance.
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