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Immune Checkpoints – Biomarkers, Gene Expression and Immunotherapy

What are immune checkpoints and why are they important?

Immune checkpoints are regulatory pathways that control the activation, intensity, and duration of immune responses.

They are primarily mediated by inhibitory receptors expressed on immune cells, particularly T lymphocytes, and play a crucial role in maintaining immune tolerance and preventing excessive immune reactions.

In pathological conditions such as cancer and chronic infections, immune checkpoint pathways can be exploited to suppress immune responses, leading to T-cell exhaustion and immune evasion.

AnyGenes Immune Checkpoints Array for Enhanced Immunotherapy Research

Immune checkpoint activity is commonly analyzed using gene expression profiling and qPCR-based approaches to study immune regulation and T-cell exhaustion.

Immune checkpoint biomarkers list
View the genes included in our immune checkpoint qPCR arrays.
Immune checkpoint analysis involves a complex network of genes regulating T-cell activation, immune suppression, and tumor–immune interactions. This curated gene set includes immune checkpoints, co-stimulatory molecules, cytokines, and signaling pathways involved in immune regulation and cancer immunology. These genes can be used to design customized qPCR panels for targeted immune checkpoint analysis.

Mechanism of immune checkpoint-mediated T-cell inactivation.
Mechanism of immune checkpoint-mediated T-cell inactivation.

Key takeaways

  • Central regulators of T-cell activation and immune tolerance
  • Prevent autoimmunity and immune overactivation
  • Exploited by tumors for immune escape
  • Core targets of modern cancer immunotherapy
  • Highly relevant for biomarker discovery and immune profiling

When to study immune checkpoints?

Immune checkpoint analysis is essential in many research contexts.

It is commonly used to:

  • evaluate T-cell activation and exhaustion
  • study tumor immune evasion
  • identify biomarkers for immunotherapy response
  • investigate chronic infections
  • support patient stratification

Major immune checkpoint molecules

PD-1 / PD-L1 – PD-L2

PD-1 is an inhibitory receptor expressed on activated T cells. Binding to PD-L1 or PD-L2 suppresses T-cell proliferation, cytokine production, and cytotoxic activity. This pathway is frequently upregulated in tumors.

CTLA-4

CTLA-4 regulates early T-cell activation by competing with CD28 for B7 ligands on antigen-presenting cells, thereby limiting immune responses.

LAG-3

LAG-3 contributes to T-cell exhaustion and is emerging as a clinically relevant immune checkpoint, often targeted in combination with PD-1 inhibitors.

TIM-3

TIM-3 is involved in immune exhaustion in cancer and chronic infections and represents a promising next-generation immunotherapy target.

Key genes involved in immune checkpoint signaling pathway

Immune checkpoint signaling relies on a complex network of inhibitory and stimulatory molecules that regulate T cell activation, immune tolerance, and anti-tumor responses.

This section highlights representative genes involved in immune checkpoint signaling. The complete biomarker panel includes a broader set of genes covering additional regulatory and signaling mechanisms.

PDCD1 (PD-1), CD274 (PD-L1), PDCD1LG2, CTLA4, LAG3, HAVCR2, CD276, VTCN1, BTLA, CD160, CD244, CD96

These genes are commonly used to assess immune checkpoint activity, T cell regulation, and immune response modulation in cancer and immunotherapy studies.

Explore the complete gene panel used for immune checkpoint signaling pathway analysis.

Download the complete biomarker list.

Mechanism of immune checkpoint signaling

Immune checkpoints function through inhibitory signaling cascades triggered by receptor-ligand interactions. These signals:

  • Reduce T-cell proliferation
  • Decrease cytokine production
  • Suppress cytotoxic immune functions

Immune checkpoint pathways are closely interconnected with cytokine signaling, antigen presentation, and tumor microenvironment regulation.

How to analyze immune checkpoints?

Analyzing immune checkpoint pathways can be challenging due to their complexity and interaction with multiple immune mechanisms.

Workflow:

  1. Select relevant immune checkpoint and immune regulation genes
  2. Measure gene expression using qPCR or transcriptomic approaches
  3. Normalize data
  4. Compare expression across conditions
  • Targeted gene panels are essential to focus on relevant biomarkers and reduce experimental variability.
  • Targeted qPCR approaches enable robust, reproducible, and sensitive immune checkpoint analysis.
  • Customized qPCR panels allow precise investigation of immune activation and exhaustion signatures.
  • Compared to transcriptomic approaches, targeted qPCR provides faster, cost-effective, and reproducible results.

Immune checkpoints and disease relevance

Cancer

Tumors frequently overexpress immune checkpoint ligands (e.g. PD-L1) to suppress antitumor immune responses. Immune checkpoint inhibitors (ICIs) have transformed cancer therapy across multiple tumor types.

Chronic infections

In persistent viral infections (HIV, hepatitis), prolonged immune checkpoint activation leads to functional exhaustion of T cells and pathogen persistence.

Autoimmune diseases

Dysregulated checkpoint signaling can contribute to excessive immune activation and autoimmunity.

Therapeutic and clinical applications

Immune checkpoints are among the most important therapeutic targets today:

  • PD-1, PD-L1 and CTLA-4 inhibitors in oncology
  • Combination immunotherapies
  • Emerging targets such as LAG-3 and TIM-3

Identifying immune checkpoint-related gene expression signatures is critical for patient stratification and treatment response prediction.

Why study immune checkpoints with AnyGenes®?

Understanding immune checkpoint pathways requires reliable gene expression tools.

 AnyGenes® supports researchers with customized qPCR panels designed for immune checkpoint analysis.

Key advantages:

  • flexible gene panel design
  • pathway-focused selection
  • high reproducibility
  • standardized workflows

These solutions are widely used in immunology and cancer research.

Analyze your pathway data with AnyGenes® software

Scientific data is only as powerful as the analysis behind it.

AnyGenes® provides a dedicated data analysis tool specifically developed for SignArrays® pathway panels.

What does it allow you to do?

  • Automated ΔCq calculation
  • Normalization with selected housekeeping genes
  • Comparison of up to 10 experimental conditions
  • Generation of descriptive statistics
  • Publication-ready graphs
  • Exportable tables for manuscripts and presentations

Developed on Excel (compatible with 2007+), the software is user-friendly and requires no advanced bioinformatics skills.

Customize your own signaling pathways (SignArrays®) with the factors of your choice!
Simply download and complete our Personalized SignArrays® information file and send it at [email protected] to initiate your project.

Frequently asked questions

What are immune checkpoints?

Immune checkpoints are inhibitory pathways that regulate immune activation and maintain immune tolerance.

Why are immune checkpoints important in cancer?

Tumors exploit immune checkpoints to evade immune surveillance, making them key targets in cancer immunotherapy.

Which immune checkpoint molecules are most studied?

PD-1, PD-L1, CTLA-4, LAG-3 and TIM-3.

How can immune checkpoints be analyzed experimentally?

By measuring gene expression of immune checkpoint markers using targeted qPCR pathway arrays.

Immune checkpoints biomarker list

You can check the biomarker list included in this pathway, see below:

Looking for more answers? Visit our Help & FAQ section to find detailed informations about our products, services, and technical support.

Bibliography

1. Meng L, et al. Mechanisms of immune checkpoint inhibitors: insights into the regulation of circular RNAS involved in cancer hallmarks. Cell Death Dis. (2024)4;15(1):3.

2. Younis A, Gribben J. Immune Checkpoint Inhibitors: Fundamental Mechanisms, Current Status and Future Directions. Immuno (2024):4(3),186-210.

3. Renga G, et al. Optimizing therapeutic outcomes of immune checkpoint blockade by a microbial tryptophan metabolite. J Immunother Cancer. (2022);10(3):e003725.

4. Cai H, et al. Immune Checkpoints in Viral Infections. Viruses. (2020)21;12(9):1051.

5. He X, et al. Immune checkpoint signaling and cancer immunotherapy. Cell Res. (2020);30(8):660-669.

Need pricing information or distributor details?
For quotations, product information, or project discussions, please contact our team at [email protected].