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Updated: Dec 26, 2025

Studying Cell Cycle-regulated Gene Expression by Two Complementary Cell Synchronization Protocols
Published on: June 6, 2017
Spatiotemporal Changes in Checkpoint Molecule Expression
Wenhua Li1, Jingbo Qie2, Yao Zhang3
1Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. whliiris@hotmail.com.
Immune checkpoint inhibitors (ICIs) show promise in advanced cancers. Understanding the expression of immune checkpoint molecules, like PD-L1, is crucial for selecting patients who will benefit from these therapies.
Area of Science:
- Oncology
- Immunology
- Cancer Research
Background:
- Immune checkpoint inhibitors (ICIs), especially PD-1/PD-L1 blockade, represent a significant advancement in treating advanced malignancies across various cancer types.
- The necessity of assessing immune checkpoint molecule expression, particularly PD-L1, varies among cancer types for guiding immune-based treatment decisions.
Purpose of the Study:
- To provide a comprehensive overview of the expression patterns of immune checkpoint molecules in cancer.
- To explore the factors influencing checkpoint molecule expression, including tumor type, stage, and treatment response.
Main Methods:
- Review of current knowledge on the spatiotemporal expression of immune checkpoint molecules.
- Analysis of expression frequencies across different tumor types and stages.
- Comparison of expression patterns in primary versus metastatic tumors and before/after treatment.
Main Results:
- The expression of PD-L1 is extensively studied, but defining "positive" and "negative" thresholds and ensuring testing consistency remain challenges.
- Expression frequencies and patterns of checkpoint molecules differ significantly based on tumor type, stage, and metastatic status.
- Changes in checkpoint molecule expression occur before and after therapy, highlighting dynamic tumor microenvironment interactions.
Conclusions:
- A detailed understanding of immune checkpoint molecule expression is essential for optimizing patient selection for ICI therapy.
- Further research into the tumor microenvironment and checkpoint molecule dynamics can improve the identification of patients who will benefit from checkpoint blockade.
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