Tumor-Immune Spatial Interaction Analysis Service

In the era of precision oncology, knowing if immune cells are present in a tumor is no longer enough. To truly understand therapeutic response, we need to know where they are, who they are talking to, and how their spatial organization dictates the fate of the disease.

Our Tumor-Immune Spatial Interaction Analysis service provides a high-resolution, multi-dimensional map of the tumor microenvironment (TME). By combining cutting-edge multiplex imaging with advanced computational geography, we help researchers and clinicians decode the complex "social network" of cancer cells and the immune system.

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What is
Workflow
Deliverables
Applications
Why choose
FAQs
Sample preparation

What is Tumor-Immune Spatial Interaction Analysis?

Traditional bulk sequencing and flow cytometry provide a "smoothie" view of a tumor—they tell you the ingredients but lose the structure. Spatial interaction analysis, however, preserves the "fruit salad" view.

It is a specialized bioinformatics and imaging approach that quantifies the physical proximity and functional relationships between malignant cells and various immune populations (such as CD8⁺ T cells, Macrophages, and Tregs). By measuring metrics like cell-to-cell distance, neighborhood density, and boundary infiltration, we can identify whether a tumor is "Hot" (infiltrated), "Cold" (deserted), or "Excluded" (immune cells stuck at the border).

Workflow

We offer an end-to-end pipeline designed to take you from raw tissue to actionable biological insights.

workflow of Tumor-Immune Spatial Interaction Analysis

Deliverables

Cellular spatial localization (tumor core/invasive margin/tertiary lymphoid structures TLS)
Proximity quantification (distance and contact frequency between T cells and PD-L1⁺ cells)
Spatial pattern recognition (immune cell clustering, exclusion gradients)
Inferred cell communication (using ligand-receptor databases, such as CellPhoneDB spatial)

Key Applications

Biomarker Discovery: Identify spatial signatures that predict response to Immune Checkpoint Inhibitors (ICIs).
Drug Mechanism of Action (MoA): Visualize how a novel therapeutic changes the spatial distribution of immune cells post-treatment.
Tertiary Lymphoid Structures (TLS) Mapping: Quantify the formation and maturity of immune "hubs" within the tumor.

Why Choose Our Service?

Unrivaled Resolution: We move beyond "per-slide" averages to "per-cell" precision.
Expert Interpretation: Our reports are written by PhD-level immunologists who translate raw spatial data into biological narratives.
Platform Agnostic: Whether you have raw slides or digital images from a different provider, our pipeline can adapt.
Scalability: From a single pilot slide to large clinical trial cohorts of hundreds of samples.

FAQs

How many markers can I analyze at once?

Depending on the platform (mIHC vs. PhenoCycler), we typically analyze between 6 and 40+ markers. For most spatial interaction studies, a 12-marker panel provides a robust view of the TME.

Can you analyze "Hot" vs "Cold" tumor regions specifically?

Yes. We use "Region of Interest" (ROI) selection to compare the invasive margin, the tumor core, and the surrounding stroma separately.

Learn about other Q&A.

Sample Requirements

Please consult with us to obtain detailed technical support prior to sample preparation, ensuring the smooth progress of the project.

* For Research Use Only. Not for use in diagnostic procedures.

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From Our Clients

"I recently used their proteomics service for a project analyzing protein interactions in yeast models. The team was very responsive and helped clarify the methodology they employed, which made me feel confident in the results. The data quality was solid, with clear identification of several key proteins involved in our study. Their thorough analysis enabled me to pinpoint specific interactions that I hadn't considered before, which significantly improved the direction of my research. I appreciate their professionalism and support throughout the process."

Sarah Thompson, University of California, Berkeley

"Our lab collaborated with them on a project studying cancer biomarkers. The proteomics analysis provided was detailed and focused, specifically highlighting the differential expression of proteins between healthy and tumor samples. Their clear explanations of the data helped my team understand the biological implications. I also appreciated their willingness to revise the reports based on our feedback, ensuring that we had everything we needed for our publication. This collaborative spirit was invaluable."

Emily Rodriguez, Stanford University

"Our lab worked with them on a project studying the effects of diet on gut microbiota using proteomics. They used a label-free quantification method to analyze proteins in fecal samples before and after dietary intervention. The results showed significant changes in protein expression linked to microbial activity. This was pivotal for our hypothesis about diet-microbiota interactions. The clarity of their data presentation made it easy for our team to integrate these findings into our ongoing research."

Dr. Lisa Wong, University of Toronto

"My experience with Creative Proteomics during the mass spectrometry analysis was excellent. We sent in human saliva and mouse brain tissue samples, which they expertly analyzed using both LC-MS and GC-MS techniques. The results were invaluable, revealing key metabolites in the saliva and identifying biomarkers linked to brain function in the brain tissue."

Dr. Emily Carter, Senior Research Scientist

"The overall service from Creative Proteomics was outstanding. They made the entire process seamless and efficient, allowing us to focus on our research. We worked with leaf and root samples from various Arabidopsis genotypes for targeted metabolomics analysis. Their thorough profiling of primary and secondary metabolites gave us important insights into how the plants respond metabolically to environmental stress."

Dr. Laura Henderson, Plant Physiologist

"We had a pleasant collaboration with Creative Proteomics on mass spectrometry analysis of lipids. They conducted a detailed analysis of lipid species, providing us with important insights into lipid metabolism and its relationship with metabolic syndrome disease states."

Dr. Sarah Mitchell, Research Scientist

Online Inquiry

Please submit a detailed description of your project. We will provide you with a customized project plan to meet your research requests. You can also send emails directly to for inquiries.

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