4.7 Review

The Reciprocity between Radiotherapy and Cancer Immunotherapy

Journal

CLINICAL CANCER RESEARCH
Volume 25, Issue 6, Pages 1709-1717

Publisher

AMER ASSOC CANCER RESEARCH
DOI: 10.1158/1078-0432.CCR-18-2581

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Funding

  1. American Society of Clinical Oncology (ASCO) Conquer Cancer Foundation Young Investigator Award [10804]
  2. Cancer Prevention and Research Institute of Texas CPRIT [RR180017]
  3. Mayo Clinic Center for Regenerative Medicine
  4. Jorge and Leslie Bacardi Fund in Regenerative Medicine
  5. National Institute of Neurological Disorders and Stroke Grant [R01 NS104315]
  6. National Natural Science Foundation of China [81572500]
  7. Hunan Young Talents [2016RS3036]

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The clinical success of immune checkpoint inhibitors in treating metastatic and refractory cancers has generated significant interest in investigating their role in treating locally advanced diseases, thus requiring them to be combined with standard treatments in the hope of producing synergistic antitumor responses. Radiotherapy, in particular, has long been hypothesized to have actions complementary to those of immune checkpoint blockade, and a growing body of evidence indicates that cancer immunotherapy may also have radiosensitizing effects, which would provide unique benefit for locoregional treatments. Recent studies have demonstrated that when immune cells are activated by immunotherapeutics, they can reprogram the tumor micro-environment in ways that may potentially increase the radiosensitivity of the tumor. In this review, we highlight the evidence that supports reciprocal interactions between cancer immunotherapy and radiotherapy, where in addition to the traditional notion that radiation serves to enhance the activation of antitumor immunity, an alternative scenario also exists in which T-cell activation by cancer immunotherapy may sensitize tumors to radiation treatment through mechanisms that include normalization of the tumor vasculature and tissue hypoxia. We describe the empirical observations from preclinical models that support such effects and discuss their implications for future research and trial design.

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