| Issue |
BIO Web Conf.
Volume 214, 2026
The 2025 International Conference on Biomedical, Bioinformatics and Statistics (ICBBS 2025)
|
|
|---|---|---|
| Article Number | 01019 | |
| Number of page(s) | 5 | |
| Section | Biomedical, Bioinformatics and Statistics | |
| DOI | https://doi.org/10.1051/bioconf/202621401019 | |
| Published online | 02 February 2026 | |
Cancer Immunotherapy: From Immune Surveillance to Clinical Applications
School of Life Sciences, University of Warwick, Coventry, United Kingdom
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Cancer immunotherapy is an important means of treating cancer by clearing malignant cells through the immune system. Unlike chemotherapy or radiation therapy that directly targets tumors, immunotherapy enhances immune recognition and memory, thus having higher specificity and the possibility of lasting remission. The immune surveillance theory provided the foundation for this method, which was later refined into an immune editing model. Tumors utilize these processes through immune checkpoint signaling, inhibitory cell recruitment, metabolic competition, and the formation of an immunosuppressive microenvironment, which presents significant challenges for treatment. The advancement of medical technology has not only driven the development of immune checkpoint inhibitors (ICIs), but also demonstrated their significant efficacy - drugs such as anti-CTLA-4 and anti-PD-1/PD-L1 antibodies have produced meaningful results in melanoma, lung cancer, and other cancers. Significant progress has been made in cell therapy for hematological cancers, with tumor infiltrating lymphocytes (TIL) and chimeric antigen receptor (CAR) T cells demonstrating considerable effectiveness. Cancer vaccines are used to induce targeted adaptive responses. Immune modulators can enhance innate immune activation and strengthen checkpoint blockade.
© 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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