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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.
Abstract:
Immune checkpoint inhibitors (ICIs), particularly PD-1/PD-L1 blockade, have led to therapeutic breakthrough in patients with advanced malignancy, covering the lung, breast, gastrointestinal, head and neck, urinary system, lymphoma, and solid tumor harboring MSI/dMMR. In certain cancer types, the expression level of immune checkpoint molecule will be required if the immune-based approaches are considered, especially the PD-L1 expression. However, in other types, survival benefit has been proven regardless of PD-L1 expression. It raises a question of how to select patients for immune therapy and whether the expression of immune checkpoint molecules will be optimal biomarkers. Before answering this question, a comprehensive map for the expression of immune checkpoint molecules is needed. In this chapter, we describe our current knowledge on the spatiotemporal changes in the expression of checkpoint molecules. We discuss the different frequencies of expression depending on tumor types and stages, the different patterns between primary and metastatic tumors, as well as the change of expression before and after treatment. The expression of PD-L1 has been most studied, but the threshold that separate "positive" and "negative" PD-L1 expressions and the consistency of testing platform remain under debate. Better understanding on the tumor microenvironment and expression of checkpoint molecules will help to identify patients who will benefit from checkpoint blockade therapy.
Insights
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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