| Issue |
BIO Web Conf.
Volume 214, 2026
The 2025 International Conference on Biomedical, Bioinformatics and Statistics (ICBBS 2025)
|
|
|---|---|---|
| Article Number | 01023 | |
| Number of page(s) | 6 | |
| Section | Biomedical, Bioinformatics and Statistics | |
| DOI | https://doi.org/10.1051/bioconf/202621401023 | |
| Published online | 02 February 2026 | |
The tumor microenvironment and its immunosuppressive characteristics-IFN-γ immunotherapy approaches
University of California Riverside, 900 University Ave, Riverside, CA, USA
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Advancements in cancer research and technology are driving a significant paradigm shift from traditional, one-size-fits-all treatments toward a more personalized and precise medical approach. This modern strategy, often termed precision medicine, offers tailored therapeutic care by addressing the specific genetic, molecular, and epidemiologic factors unique to each patient's disease. Among the most promising emerging strategies is immunotherapy, which represents a fundamental departure from conventional therapies like chemotherapy. Immunotherapy leverages detailed knowledge of the tumor's genetic makeup and its surrounding microenvironment to target key mutations. The primary goal is to enhance the body's own immune system, empowering it to effectively detect and eradicate cancer cells. However, tumors are notoriously adept at developing resistance; they dynamically reshape their local microenvironment into an immunosuppressive fortress to evade immune detection. This paper specifically analyzes the complex mechanisms of this immunosuppressive tumor microenvironment and investigates how scientists are employing various immunomodulators to overcome these defensive strategies, thereby restoring the immune system's ability to fight the cancer.
© 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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