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Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
Tumour genetics and genomics to personalise cancer treatment
Pei Jye Voon1, Hwai Loong Kong
1Department of Haematology-Oncology, National University Cancer Institute, Singapore. peijye_voon@nuhs.edu.sg
Abstract:
Personalising cancer treatment to optimise therapeutic efficacy while minimising exposure to the toxicities of ineffective drugs is the holy grail of medical oncology. Clinical parameters and conventional histopathological characterisations of cancers are no longer adequate to guide the practising oncologists in treatment planning. The explosion of knowledge in cancer molecular biology has led to the availability of tumour-specific molecules that serve as predictive and prognostic markers. In breast cancer, HER-2 positivity is a good predictor for success of anti-HER-2 trastuzumab monoclonal antibody therapy. K-ras mutational status predicts the likelihood of response to anti-EGFR monoclonal antibodies in advanced colorectal cancers. Similarly, EGFR mutational status in pulmonary adenocarcinoma is highly predictive for responses or otherwise to tyrosine kinase inhibitors. Notwithstanding our deeper understanding of tumour biology and the availability of predictive and prognostic laboratory tools, we are still far from achieving our dream of the perfect personalised cancer treatment, as each tumour in a particular patient is unique to itself. A much coveted, real-time, anti-tumour drug sensitivity testing in the future may one day pave the way for truly treating the right tumour with the right drug in the right patient.
Insights
Personalizing cancer treatment requires molecular insights beyond traditional methods. Future real-time drug sensitivity testing aims to match the right drug to the right patient for optimal outcomes.
Area of Science:
- Oncology
- Molecular Biology
- Cancer Therapeutics
Background:
- Traditional clinical and histopathological cancer characterizations are insufficient for personalized treatment planning.
- Advances in cancer molecular biology offer predictive and prognostic markers for targeted therapies.
- Examples include HER-2 in breast cancer, K-ras in colorectal cancer, and EGFR in lung adenocarcinoma.
Purpose of the Study:
- To highlight the limitations of current cancer treatment personalization strategies.
- To emphasize the role of molecular markers in predicting drug response.
- To discuss the future potential of real-time drug sensitivity testing for precision oncology.
Main Methods:
- Review of current literature on personalized cancer treatment strategies.
- Analysis of the utility of molecular markers (e.g., HER-2, K-ras, EGFR) in predicting treatment efficacy.
- Discussion of the concept and potential of novel drug sensitivity testing methods.
Main Results:
- Molecular markers like HER-2, K-ras, and EGFR status significantly predict patient response to specific targeted therapies.
- Despite advances, achieving perfect personalized cancer treatment remains challenging due to tumor heterogeneity.
- Current predictive tools are valuable but do not fully address individual tumor uniqueness.
Conclusions:
- Personalized cancer therapy relies heavily on understanding tumor molecular biology.
- Targeted therapies guided by molecular markers improve treatment efficacy but do not eliminate the need for further advancements.
- Real-time anti-tumor drug sensitivity testing represents a promising future direction for truly individualized cancer treatment.
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