# Spatial genomics analysis of tumor samples

> **NIH NIH R44** · SPATIAL GENOMICS, INC. · 2023 · $998,481

## Abstract

SUMMARY
Imaging the tumor microenvironment (TME) is key to understanding tumor growth, disease
progression and therapy options. The TME often consists of a complex neighborhood of diverse
populations of immune cells, fibroblasts, and tumors cells. Little is known about the “geography”
of the tumors and the spatial organization of the distinct cell types. The ability to rapidly identify
different cell types and tumor subtypes using molecular markers will be transformative for cancer
diagnostics.
At Spatial Genomics, we are commercializing technology that allows transcript profiling in tumor
samples. With this technology, cell types in situ and spatial organizations can be directly identified
and visualized in tumor tissue slices. These capabilities provide a powerful tool for examining the
different cell types and their interactions in the tumor microenvironment. In this proposal, we will
develop the reagents, instrumentation, and the associated software that will allow researchers to
perform spatial mapping experiments in tumor slices.

## Key facts

- **NIH application ID:** 10761582
- **Project number:** 1R44CA285121-01
- **Recipient organization:** SPATIAL GENOMICS, INC.
- **Principal Investigator:** Kirsten Frieda
- **Activity code:** R44 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $998,481
- **Award type:** 1
- **Project period:** 2023-09-01 → 2025-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10761582

## Citation

> US National Institutes of Health, RePORTER application 10761582, Spatial genomics analysis of tumor samples (1R44CA285121-01). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10761582. Licensed CC0.

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