Assessing the interactions between radiotherapy and antitumour immunity.

Area of Science:

• Oncology
• Immunology
• Radiotherapy

Background:

• Immunotherapy, particularly immune checkpoint inhibitors, has revolutionized cancer treatment, offering long-term tumor control.
• However, only a limited number of patients respond to current immunotherapies.
• Combining immune checkpoint inhibitors with radiotherapy is a promising strategy, but may be hindered by radiation-induced immunosuppression.

Purpose of the Study:

• To review clinical data and emerging methods for assessing patient-level immune responses to radiotherapy.
• To discuss modeling approaches for predicting immunotherapy-radiotherapy interactions.
• To highlight how combining biomarkers with modeling can optimize treatment synergy.

Main Methods:

• Review of existing clinical data on immunotherapy and radiotherapy combinations.
• Summary of novel serum biomarkers and imaging techniques for immune response assessment.
• Discussion of predictive modeling strategies for treatment optimization.

Main Results:

• The combination of immunotherapy and radiotherapy aims to shift immune responses towards anti-tumor activity.
• Assessing dynamic immune changes at the patient level is crucial for personalized treatment.
• Various biomarkers and imaging techniques are being developed to monitor these changes.

Conclusions:

• Optimizing the combination of immunotherapy and radiotherapy requires understanding and monitoring patient-level immune dynamics.
• Future strategies involve integrating predictive models with biomarkers to enhance treatment efficacy and synergy.
• Personalized approaches are essential for maximizing the benefits of combined immunoradiotherapy.