Combination of multiple omics techniques for a personalized therapy or treatment selection

Area of Science:

• Oncology
• Immunology
• Genomics

Background:

• Targeted therapies and immunotherapies have improved cancer treatment but offer limited long-term responses for many patients.
• Individual patient variability in tumor mutational burden, tumor microenvironment, immune system, microbiome, and immune escape mechanisms necessitates personalized therapeutic strategies.

Purpose of the Study:

• To highlight the need for personalized cancer treatment strategies.
• To propose a combined approach for identifying optimal therapies for individual cancer patients.

Main Methods:

• Utilizing predictive biomarkers identified from large patient cohorts.
• Employing "omics"-based analyses for individual tumor characterization.
• Performing ex vivo susceptibility testing of tumors to various therapies.

Main Results:

• Current broad therapeutic approaches yield limited long-term responses.
• Significant inter-patient heterogeneity exists in factors influencing treatment efficacy.
• Personalized approaches are essential for effective cancer management.

Conclusions:

• A personalized treatment paradigm is essential in oncology.
• Combining predictive biomarkers with comprehensive individual tumor profiling (omics and ex vivo testing) is key to optimizing patient response and achieving long-term outcomes.