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Key Event: 2323
Key Event Title
Over-expression of PD-L1 in cancer cells
Short name
Biological Context
| Level of Biological Organization |
|---|
| Molecular |
Cell term
| Cell term |
|---|
| macrophage |
Organ term
Event Components
| Process | Object | Action |
|---|---|---|
| Abnormality of cellular immune system | B7-related protein | increased |
Key Event Overview
AOPs Including This Key Event
| AOP Name | Role of event in AOP | Point of Contact | Author Status | OECD Status |
|---|---|---|---|---|
| AhR activation leading to cancer progression | KeyEvent | Léo SPORTES-MILOT (send email) | Under development: Not open for comment. Do not cite |
Taxonomic Applicability
Life Stages
| Life stage | Evidence |
|---|---|
| During development and at adulthood | High |
Sex Applicability
| Term | Evidence |
|---|---|
| Mixed | High |
Key Event Description
PD-L1 (Programmed Death-Ligand 1, or B7-H1/CD274) is known to be a promising therapeutic target in the development of anti-tumor treatments. This ligand can be expressed in several forms: cytoplasmic, membrane-bound, soluble, or in extracellular vesicles. Based on current knowledge, the membrane form is the most well-documented, particularly for inhibiting T cell activity (Lin et al., 2024). Its physiological role is to bind to PD1 (or CD279), its receptor on immune cells, giving it an essential immunosuppressive role (Butte et al., 2007). This is why this ligand is well studied for treatment related to immunosuppressive disease (Tomlins et al., 2023).
PD-L1 is a membrane protein belonging to the immunoglobulin family (IgSF). It has two main domains: an N-terminal variable immunoglobulin (IgV) domain and a C-terminal constant immunoglobulin (IgC) domain (Lin et al., 2008) (Jiang et al., 2019). It is the IgV domain that allows interaction with the PD-1 receptor, which is mainly expressed on T lymphocytes but also present in slightly lower levels on B lymphocytes.
In the context of cancer, tumor cells overexpress this ligand, which contributes to immune escape and the establishment of the Tumor MicroEnvironment (TME) (Riella et al., 2012).
How It Is Measured or Detected
Multiple validated and widely used methods exist to measure PD-L1 expression on cancer cells :
1. Immunohistochemistry (IHC). This is the most clinically validated and standardized method. Several antibody clones such as 22C3, 28-8, SP142, and SP263, have been approved as companion or complementary diagnostics for anti-PD-L1 immunotherapies and are used routinely on formalin-fixed paraffin-embedded tumour sections (Martinez-Morilla et al., 2021). Expression is quantified as the Tumour Proportion Score (TPS), the percentage of viable tumour cells showing membranous staining, or as the Combined Positive Score (CPS), which also incorporates PD-L1-positive immune cells (Noordhof et al., 2023).
2. Flow cytometry. Used on dissociated tumour tissue or cultured cancer cell lines to quantify cell-surface PD-L1 via fluorochrome-conjugated antibodies; allows co-staining with other markers to characterise the PD-L1⁺ cell subpopulation (Chen et al., 2021) 34211855.
3. Quantitative RT-PCR / RNA sequencing. Used to measure CD274 (PD-L1 gene) mRNA transcript levels; mRNA levels correlate moderately-to-strongly with IHC protein scores (Noordhof et al., 2023).
4. Western blot. Used in cell-line-based mechanistic studies to confirm total cellular PD-L1 protein levels, often alongside pathway-specific inhibitors/activators (e.g., STAT1/STAT3 inhibition) (Alsaab et al., 2019).
5. ELISA (for soluble PD-L1, sPD-L1). Used to measure a shed/secreted form of PD-L1 in serum or culture supernatant as a surrogate, non-invasive biomarker, complementary to tissue-based assays.
Domain of Applicability
PD-L1 overexpression relative to normal tissue has been independently documented in non-small cell lung cancer, melanoma, breast cancer, ovarian cancer, colorectal cancer, hepatocellular carcinoma, prostate cancer, gastric cancer and renal cell carcinoma (Dermani et al., 2019, Kammerer-Jacquet et al., 2019, Payandeh et al., 2020, Matuschewski et al., 2025, Santoni et al., 2020).
The magnitude of overexpression and its clinical or functional threshold varies by tumour type.
References
Alsaab, Hashem O., Samaresh Sau, Rami Alzhrani, et al. 2017. « PD-1 and PD-L1 Checkpoint Signaling Inhibition for Cancer Immunotherapy: Mechanism, Combinations, and Clinical Outcome ». Frontiers in Pharmacology 8: 561. https://doi.org/10.3389/fphar.2017.00561.
Butte, Manish J., Mary E. Keir, Theresa B. Phamduy, Arlene H. Sharpe, et Gordon J. Freeman. 2007. « Programmed Death-1 Ligand 1 Interacts Specifically with the B7-1 Costimulatory Molecule to Inhibit T Cell Responses ». Immunity 27 (1): 111‑22. https://doi.org/10.1016/j.immuni.2007.05.016.
Chen, Zihang, Xueqin Deng, Yunxia Ye, Wenyan Zhang, Weiping Liu, et Sha Zhao. 2021. « Flow Cytometry-Assessed PD1/PDL1 Status in Tumor-Infiltrating Lymphocytes: A Link With the Prognosis of Diffuse Large B-Cell Lymphoma ». Frontiers in Oncology 11 (juin): 687911. https://doi.org/10.3389/fonc.2021.687911.
Dermani, Fatemeh K., Pouria Samadi, Golebagh Rahmani, Alisa K. Kohlan, et Rezvan Najafi. 2019. « PD-1/PD-L1 Immune Checkpoint: Potential Target for Cancer Therapy ». Journal of Cellular Physiology 234 (2): 1313‑25. https://doi.org/10.1002/jcp.27172.
Jiang, Yongshuai, Ming Chen, Hong Nie, et Yuanyang Yuan. 2019. « PD-1 and PD-L1 in cancer immunotherapy: clinical implications and future considerations ». Human Vaccines & Immunotherapeutics 15 (5): 1111‑22. https://doi.org/10.1080/21645515.2019.1571892.
Kammerer-Jacquet, Solène-Florence, Antoine Deleuze, Judikaël Saout, et al. 2019. « Targeting the PD-1/PD-L1 Pathway in Renal Cell Carcinoma ». International Journal of Molecular Sciences 20 (7): 1692. https://doi.org/10.3390/ijms20071692.
Lin, David Yin-wei, Yoshimasa Tanaka, Masashi Iwasaki, et al. 2008. « The PD-1/PD-L1 complex resembles the antigen-binding Fv domains of antibodies and T cell receptors ». Proceedings of the National Academy of Sciences of the United States of America 105 (8): 3011‑16. https://doi.org/10.1073/pnas.0712278105.
Lin, Xin, Kuan Kang, Pan Chen, et al. 2024. « Regulatory Mechanisms of PD-1/PD-L1 in Cancers ». Molecular Cancer 23 (1): 108. https://doi.org/10.1186/s12943-024-02023-w.
Matuschewski, Nickolai J., Rabea Sobirey, Margarita Revzin, et al. 2025. « Noninvasive Tumor Profiling: Quantitative Contrast-Enhanced MRI Markers Predict PD-L1 and CTNNB1 Status in Hepatocellular Carcinoma ». Radiology 316 (2): e242750. https://doi.org/10.1148/radiol.242750.
Noordhof, A. L., R. a. M. Damhuis, L. E. L. Hendriks, et al. 2021. « Prognostic Impact of KRAS Mutation Status for Patients with Stage IV Adenocarcinoma of the Lung Treated with First-Line Pembrolizumab Monotherapy ». Lung Cancer (Amsterdam, Netherlands) 155 (mai): 163‑69. https://doi.org/10.1016/j.lungcan.2021.04.001.
Payandeh, Zahra, Saeed Khalili, Mohammad Hossein Somi, et al. 2020. « PD-1/PD-L1-Dependent Immune Response in Colorectal Cancer ». Journal of Cellular Physiology 235 (7‑8): 5461‑75. https://doi.org/10.1002/jcp.29494.
Riella, Leonardo V., Alison M. Paterson, Arlene H. Sharpe, et Anil Chandraker. 2012. « Role of the PD-1 Pathway in the Immune Response ». American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons 12 (10): 2575‑87. https://doi.org/10.1111/j.1600-6143.2012.04224.x.
Santoni, Matteo, Francesco Massari, Liang Cheng, et al. 2020. « PD-L1 Inhibitors for the Treatment of Prostate Cancer ». Current Drug Targets 21 (15): 1558‑65. https://doi.org/10.2174/1389450121666200609142219.
Tomlins, Scott A., Nickolay A. Khazanov, Benjamin J. Bulen, et al. 2023. « Development and Validation of an Integrative Pan-Solid Tumor Predictor of PD-1/PD-L1 Blockade Benefit ». Communications Medicine 3 (1): 14. https://doi.org/10.1038/s43856-023-00243-7.