Macrophages are dynamic architects of the tumor microenvironment (TME) in gastric cancer. From early inflammation-driven remodeling to advanced invasion, angiogenesis, immune suppression, and peritoneal dissemination, tumor-associated macrophages (TAMs) continuously shape how gastric tumors evolve and how experimental therapies perform in preclinical models.
At Creative Biolabs, we provide an end-to-end, gastric cancer-focused macrophage toolkit spanning primary cell sourcing, polarization & phenotyping, TAM functional assays, immune-oncology co-culture systems, 3D organoid/spheroid platforms, multi-omics profiling, and in vivo validation workflows.
Within gastric tumors, macrophages often become one of the most abundant immune populations, and their plasticity makes them both a powerful research target and a major confounder in model translation. Key macrophage-linked mechanisms frequently observed in gastric cancer research include:
In the GC microenvironment, cross-talk between TAMs and tumor cells has been shown to extremely conduce to the progression of GC. Tumor cells can secrete a few cytokines and growth factors that mediate the M2 polarization of macrophages, such as prostaglandin E2 (PGE2), interleukin-6 (IL-6), and colony-stimulating factor-1 (CSF-1). M2 TAMs can secrete epidermal growth factor (EGF), fibroblast growth factor (FGF), platelet-derived growth factor (PDGF), hyperglycemic factor (HGF), and vascular endothelial growth factor (VEGF) to stimulate the progression of tumors.
In gastritis and gastric cancers, marked infiltrating macrophages are recruited by epithelium-derived chemokines and cytokines, leading to secretion of a few pro-inflammatory cytokines like tumor necrosis factor (TNFα) and stimulation of tumor growth. Activated macrophages are reported to produce nitric oxide synthase (NOS) and/or reactive oxygen species (ROS) that lead to epigenetic changes in the gastric epithelial cells. M2 TAMs can be reprogrammed into M1 TAMs by interfering with the interactive signals, resulting in a shift in the immune microenvironment.
Creative Biolabs helps you move from macrophage "observations" to actionable conclusions, using gastric cancer-relevant models, functional validation, and data packages designed for real decisions. Below is a structured view of our core offerings.
We support multiple macrophage sources to match different stages of R&D:
We build macrophage states that reflect your hypothesis, then validate them with orthogonal readouts.
Phenotype is a snapshot; function is what drives outcomes. Our TAM functional modules include:
These modules can be assembled into a program that mirrors your candidate's expected mechanism—particularly valuable for macrophage reprogramming strategies.
We quantify how macrophages influence tumor behavior and how tumors reshape macrophages.
If you are screening candidates, we can implement dose-response designs with macrophage context.
| Platform Module | What It Solves in Gastric Cancer Studies | Typical Outputs |
|---|---|---|
| Polarization & Phenotyping | Confirms macrophage state and plasticity under gastric-TME cues | Flow panels, cytokines, transcriptional signatures |
| TAM Functional Assays | Distinguishes "marker changes" from true functional shifts | Phagocytosis, migration, suppression indices |
| Tumor-Macrophage Co-culture | Quantifies macrophage impact on growth, invasion, drug response | Viability, invasion metrics, secretome maps |
| IO Tri-culture | Reveals macrophage-driven resistance to immune pressure | Tumor killing, T-cell activation/exhaustion readouts |
| 3D Infiltration Models | Captures spatial constraints and infiltration-dependent effects | Imaging-based localization, penetration depth |
| Ex Vivo Profiling | Links macrophage signatures to tissue context | IHC/IF, spatial relationships, subset density |
Macrophage-directed strategies in gastric cancer research typically fall into four categories. We can configure assays around any of these directions.
Step 1: Scientific alignment (goal→model→endpoints)
Step 2: Model build & QC
Step 3: Functional testing (single assays→integrated panels)
Step 4: Data integration & interpretation package
| Deliverable Type | What You Receive |
|---|---|
| Data package | Raw files, analysis tables, QC documentation |
| Visualization set | Publication-ready plots (project-dependent), gating strategy snapshots, assay schematics |
| Study report | Methods overview, results summary, interpretation aligned to your endpoints |
| Recommendation memo | Optional: next-step recommendations for follow-up experiments and model refinement |
Creative Biolabs is committed to being your most trusted partner, empowering your breakthroughs with our leading-edge technologies and services.
To support study continuity, we can also provide research-use materials such as:
| Cat.No | Product Name | Product Type |
|---|---|---|
| MTS-1022-JF1 | B129 Mouse Bone Marrow Monocytes, 1 x 10^7 cells | Mouse Monocytes |
| MTS-0922-JF99 | Human M0 Macrophages, 1.5 x 10^6 | Human M0 Macrophages |
| MTS-0922-JF52 | C57/129 Mouse Macrophages, Bone Marrow | C57/129 Mouse Macrophages |
| MTS-1022-JF6 | Human Cord Blood CD14+ Monocytes, Positive selected, 1 vial | Human Monocytes |
| MTS-0922-JF34 | CD1 Mouse Macrophages | CD1 Mouse Macrophages |
| MTS-1123-HM6 | Macrophage Colony Stimulating Factor (MCSF) ELISA Kit, Colorimetric | Detection Kit |
| MTS-1123-HM15 | Macrophage Chemokine Ligand 19 (CCL19) ELISA Kit, qPCR | Detection Kit |
| MTS-1123-HM17 | Macrophage Chemokine Ligand 4 (CCL4) ELISA Kit, Colorimetric | Detection Kit |
| MTS-1123-HM49 | Macrophage Migration Inhibitory Factor (MIF) ELISA Kit, Colorimetric | Detection Kit |
| MTS-1123-HM42 | Macrophage Receptor with Collagenous Structure ELISA Kit, Colorimetric | Detection Kit |
Q: Which macrophage source is best for gastric cancer studies—primary MDMs, iPSC macrophages, or cell lines?
A: It depends on your decision point. For translational relevance and donor diversity, primary human MDMs are often the best choice. If you need batch consistency, genetic control, or repeated large screening campaigns, iPSC-derived macrophages are excellent. Cell-line–derived macrophage-like models can be useful for early feasibility and throughput, but we typically recommend validating key findings in primary or iPSC systems before drawing mechanistic conclusions.
Q: What endpoints are most informative for macrophage impact in gastric cancer models?
A: The most decision-relevant endpoints usually include a combination of: (1) macrophage phenotype + secretome, (2) suppression/effector function, and (3) tumor behavior outputs such as invasion, survival under immune pressure, or drug response shifts. For 3D models, infiltration depth and spatial distribution can be as informative as cytokines.
Q: We have our own gastric cancer cell line or engineered tumor cells. Can you use them?
A: Yes. Using your own tumor cells often strengthens program continuity. We'll align culture conditions, labeling strategy, and co-culture design to preserve the biology you care about while ensuring the macrophage component remains interpretable and reproducible.
Q: Can you analyze macrophage subsets from our tumor tissues or ascites samples?
A: In many cases, yes. We can profile macrophage populations using flow/IHC/IF and integrate subset patterns with your study endpoints. Sample handling and feasibility depend on specimen type, preservation, and study goals, so we'll propose a practical analysis plan once we understand your sample logistics.
Q: How do we start?
A: Send a short project brief—your target hypothesis, modality, preferred model type, and desired endpoints. Our scientific team will propose a tailored gastric cancer macrophage study design with a transparent workflow, deliverables list, and quotation.
Share your target, modality, and endpoints—our scientists will map a gastric cancer macrophage plan optimized for your program.