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Comprehensive Guide to Clusters of differentiation (CD) Markers for Immuno-Oncology Research

Validated antibodies for deep immune profiling and tumor microenvironment characterization

Cluster of Differentiation (CD) molecules constitute the backbone of modern immunophenotyping. These surface proteins define immune cell identity, activation state, maturation, and function. For research scientists working in immuno-oncology, CD markers are indispensable for dissecting tumor-immune interactions, validating biomarkers, characterizing immune infiltrates, and developing mechanistic insights relevant to therapy response.

Applications in Immuno-Oncology Research

CD marker-based profiling is central to:

  • Immune microenvironment mapping
  • Biomarker validation for targeted therapies
  • Mechanistic studies in checkpoint blockade
  • Preclinical immunotherapy modeling
  • Translational biomarker discovery in FFPE samples

This page summarizes key CD markers and contextualizes their roles within the tumor microenvironment, providing examples of IHC/IF panels designed for translational cancer research.

 

Understanding CD Markers in Cancer Immunology

CD molecules represent lineage markers, activation markers, checkpoint molecules, and functional regulators of both innate and adaptive immunity. Their expression patterns are essential for:

  • Identifying immune cell subpopulations (T cells, NK cells, macrophages, B cells, dendritic cells)
  • Evaluating immune activation vs. exhaustion states
  • Characterizing stromal–immune–tumor cross-talk
  • Predicting patient responses to checkpoint blockade
  • Profiling immune infiltration in FFPE tumor samples

 

Key CD Marker Categories

 

T-Cell Markers: 

Functional Role: Define T-cell lineage, activation status, naïve/memory differentiation, and co-stimulatory signaling

Checkpoint & Exhaustion Markers

Negative regulators of T-cell activity; indicators of exhaustion and immune evasion pathways

NK Cell Markers

Identify NK cell subsets, cytotoxic capacity, and maturation stage

Myeloid Markers

Define monocytes, macrophages, dendritic cells, and polarization states (e.g., M2-like TAMs)

B-Cell & Plasma Cell Markers

Identify B-cell development stages and antibody-producing plasma cells

 

Functional Classification of CD Markers Used in Tumor Immunology

CD Marker Category Functional Role View Product →
CD3 T-cell marker Pan-T cell receptor complex component; defines total T-cell population View Product →
CD4 T-cell marker Helper T-cell lineage marker; central to antigen presentation View Product →
CD8(A) T-cell marker Cytotoxic T-cell lineage marker; effector cell identification View Product →
CD25 (IL2RA) T-cell marker IL-2 receptor α-chain; T-cell activation and regulatory T-cell biology View Product →
CD45RA T-cell marker Naïve T-cell isoform; differentiation assessment View Product →
CD45RO T-cell marker Memory T-cell isoform; antigen experience indicator View Product →
CD27 T-cell marker Co-stimulatory molecule regulating survival and differentiation View Product →
CD28 T-cell marker Essential co-stimulatory receptor for T-cell activation View Product →
CD38 T-cell activation Activation and metabolic regulator; also plasma cell marker View Product →
CD69 T-cell activation Early activation marker across lymphocyte subsets View Product →
CD279(PDCD1) Immune checkpoint Inhibitory receptor defining exhaustion; target in ICIs View Product →
CD274(PD-L1) Immune checkpoint Ligand mediating T-cell suppression and tumor immune evasion View Product →

CD152(TLA-4)

Immune checkpoint Negative regulator of T-cell priming and activation View Product →
CD366 (TIM-3) Immune checkpoint Exhaustion marker on T cells and innate cells View Product →
CD56 (NCAM1) NK cell marker Neural cell adhesion molecule; hallmark NK identifier View Product →
CD16 (FCGR3A) NK cell marker FcγRIII; mediates antibody-dependent cellular cytotoxicity (ADCC) View Product →
CD57 (B3GAT1) NK cell marker Differentiation marker of terminal NK cells View Product →
CD14  Myeloid marker Monocyte lineage identifier; LPS co-receptor View Product →
CD68 (Macrosialin) Myeloid marker Lysosomal marker for macrophages; standard for TAM profiling View Product →
CD163 (M130) Myeloid marker M2-like macrophage polarization marker View Product →
CD11c (ITGAX) Myeloid marker Dendritic cell and activated myeloid lineage marker View Product →
CD19 B-cell marker Broad B-cell lineage marker; development stages View Product →
CD20 (MS4A1) B-cell marker Mature B-cell marker; target in B-cell depletion therapies View Product →
CD79a (MB1) B-cell marker B-cell receptor component; early B-cell development View Product →
CD138 (SDC1) Plasma cell marker Syndecan-1; identifies plasma cells within tumors View Product →

 

Example IHC Panels for Immuno-Oncology

Below are ready-to-use marker panels designed for FFPE tissue profiling. 

Panel 1: Tumor-Infiltrating Lymphocyte Profiling

Purpose: Immune infiltration quantification & T-cell subset mapping
Markers: CD3, CD4, CD8, CD45RO PD-1
Applications: Identifying immune-hot vs. immune-cold tumors. Understanding T-cell recruitment and effector function

Panel 2: Exhaustion and Checkpoint Analysis

Purpose: Exhaustion pathway activation & immunotherapy relevance
Markers: PD-1, PD-L1, CTLA-4, TIM-3, CD38
Applications: Predicting checkpoint inhibitor response. Studying exhaustion in chronic antigen exposure
 

Panel 3: Myeloid Compartment Profiling

Purpose: Mapping macrophage and dendritic cell subsets
Markers: CD14, CD68, CD163, CD11c
Applications: M1/M2 macrophage polarization analysis, Tumor-associated macrophage (TAM) quantification

 

CD markers remain essential tools for advancing immuno-oncology research.

By combining lineage-defining, activation, and checkpoint molecules in defined panels, researchers can achieve detailed mapping of the tumor-immune landscape. Atlas Antibodies’ rigorously validated antibodies — derived from the Human Protein Atlas legacy — ensure specificity and reproducibility, enabling translational research with clinical relevance.

Download the Full CD Marker White Paper (PDF) 

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