Predictive and prognostic markers in colorectal cancer

Area of Science:

• Oncology
• Genomics
• Translational Medicine

Background:

• Colorectal cancer remains a leading cause of cancer mortality globally.
• Current systemic therapies require optimization, and new agents are needed.
• Genetic variability influences treatment response and survival in cancer patients.

Purpose of the Study:

• To explore the role of pharmacogenomics and gene-expression profiling in optimizing colorectal cancer treatment.
• To identify predictive markers for treatment response and prognosis in colorectal cancer.

Main Methods:

• Review of pharmacogenomic studies identifying classical genetic markers.
• Application of microarray-based gene-expression profiling to assess molecular changes.
• Development and prospective clinical trial assessment of predictive gene sets.

Main Results:

• Genetically determined variability impacts treatment toxicity, response, and survival.
• Gene-expression profiling reveals complex molecular factors influencing therapeutic benefit.
• Predictive gene sets are emerging as tools for personalized medicine.

Conclusions:

• Individualized colorectal cancer treatment strategies are becoming feasible.
• Gene-expression profiling can predict patient response to specific systemic therapies.
• This technology may help identify patients likely to benefit or develop recurrence.