| Issue |
BIO Web Conf.
Volume 240, 2026
The 2026 International Conference on Biomedicine, Neuroscience and Biostatistics (ICBNB 2026)
|
|
|---|---|---|
| Article Number | 01008 | |
| Number of page(s) | 4 | |
| Section | Biomedicine, Neuroscience and Biostatistics | |
| DOI | https://doi.org/10.1051/bioconf/202624001008 | |
| Published online | 24 June 2026 | |
Synergistic Mechanisms of Radiotherapy and Immune Checkpoint Blockade in Restoring the Ecological Balance of the Tumor Microenvironment
Duke Kunshan University, Undergraduate Department, 215316, Suzhou, Jiangsu Province, China
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
The therapeutic efficacy of immune checkpoint blockade (ICB) in Non-Small Cell Lung Cancer (NSCLC) is fundamentally constrained by the “immune-excluded” (cold) phenotype. This ecological state is characterized by a potent ‘biological wall’—comprising a dense extracellular matrix and suppressive myeloid niches—which physically and metabolically excludes functional CD8+ T cells from the tumor core. This study demonstrates that radiotherapy (RT) functions as a strategic biophysical primer to dismantle these barriers. By triggering the cyclic GMP-AMP synthase (cGAS)-stimulator of interferon genes (STING) pathway through the sensing of cytosolic double-stranded DNA (dsDNA), RT initiates a molecular cascade that drives Type I interferon production, the repolarization of M2 macrophages to an M1 phenotype, and the depletion of myeloid-derived suppressor cells (MDSCs). Furthermore, the dose-dependent “sweet spot” necessary to avoid three-prime repair exonuclease 1 (TREX1)-mediated immune silencing is discussed. By establishing favorable chemokine gradients, RT transforms a suppressive ecosystem into an “inflamed” niche, enhancing ICB sensitivity. This review provides a roadmap for integrating RT and ICB, highlighting the potential of artificial intelligence (AI) driven precision protocols to achieve sustainable ecological homeostasis in oncology.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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