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

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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