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Individualized cancer therapy: molecular approaches to the prediction of tumor response

Howard L McLeod1

  • 1Washington University School of Medicine, Department of Medicine, 660 S. Euclid, Campus Box 8069, St. Louis, MO 63110, USA. hmcleod@im.wustl.edu

Expert Review of Anticancer Therapy
|July 13, 2002
PubMed

Insights

Personalized cancer therapy aims to maximize treatment benefits while minimizing toxicity. Molecular approaches and high-throughput technologies are improving the prediction of tumor response for individualized patient care.

Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Current cancer therapies face challenges in balancing treatment efficacy with patient toxicity.
  • Advancements in high-throughput technologies enable quantitative analysis of DNA, gene expression, and tumor proteins.

Purpose of the Study:

  • To review progress in molecular approaches for predicting tumor response.
  • To advance the goal of optimized, individualized cancer therapy.

Main Methods:

  • Review of recent literature on molecular profiling in oncology.
  • Analysis of high-throughput technologies for cancer biomarker discovery.

Main Results:

  • Molecular approaches show promise in predicting individual patient responses to cancer treatments.
  • High-throughput analyses offer efficient and quantitative data for treatment selection.

Conclusions:

  • Molecular insights are crucial for tailoring cancer therapy to individual patients.
  • Optimizing cancer treatment requires integrating genomic and proteomic data for personalized medicine.

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