# Integration of Single‐Cell RNA Sequencing Data and Bulk Sequencing Data to Characterise the CD8+ T‐Cell Exhaustion Mediated Immune Microenvironment in CRC

**Authors:** Xiao‐Hua Ling, Gang Chen, Nan‐Nan Liu, Wen‐Xin Xu, Ming‐Feng Ding

PMC · DOI: 10.1111/jcmm.70556 · Journal of Cellular and Molecular Medicine · 2025-05-12

## TL;DR

This study explores how exhausted CD8+ T cells interact with other cells in colorectal cancer, identifying key pathways and potential biomarkers for better immunotherapy.

## Contribution

The study introduces a novel prognostic model for CRC prognosis and immunotherapy response based on CD8+ T-cell exhaustion markers.

## Key findings

- Exhausted CD8+ T cells interact strongly with epithelial cells via MIF and CD99 pathways.
- MIF knock-down significantly inhibits CRC cell proliferation and invasion.
- The XGBoost model shows promising predictive capabilities for CRC prognosis and immunotherapy response.

## Abstract

CD8+ T cells are crucial for the anti‐tumour immune response, and their exhaustion contributes to poor prognosis and limited immunotherapy efficacy in colorectal cancer (CRC). In this study, we examined the immune microenvironment of CRC by integrating single‐cell RNA sequencing (scRNA‐seq) and bulk sequencing data. T‐cell subtypes in tumour tissues were analysed using CellMarker 2.0 and scType, and an intercellular communication network was constructed through CellChat. Our analysis revealed that exhausted CD8+ T cells exhibit strong interactions with epithelial cells, primarily via the MIF‐(CD74 + CXCR4), MIF‐(CD74 + CD44) and CD99‐CD99 pathways. Based on CD8+ T‐cell exhaustion markers, we developed a prognostic model using XGBoost, which demonstrated promising predictive capabilities for CRC prognosis and immunotherapy response. Functional assays showed that MIF knock‐down significantly inhibited CRC cell proliferation and invasion. Our findings suggest that MIF and CD99 are key regulators of CD8+ T‐cell exhaustion in CRC. This study provides novel insights into the mechanisms underlying T‐cell exhaustion in CRC and offers potential biomarkers for improving immunotherapy outcomes.

## Linked entities

- **Genes:** MIF (macrophage migration inhibitory factor) [NCBI Gene 4282], CD74 (CD74 molecule) [NCBI Gene 972], CXCR4 (C-X-C motif chemokine receptor 4) [NCBI Gene 7852], CD44 (CD44 molecule (IN blood group)) [NCBI Gene 960], CD99 (CD99 molecule (Xg blood group)) [NCBI Gene 4267]
- **Diseases:** colorectal cancer (MONDO:0005575), CRC (MONDO:0005575)

## Full-text entities

- **Genes:** CD74 (CD74 molecule) [NCBI Gene 972] {aka CLIP, DHLAG, HLADG, II, Ia-GAMMA, p33}, CD99 (CD99 molecule (Xg blood group)) [NCBI Gene 4267] {aka HBA71, MIC2, MIC2X, MIC2Y, MSK5X}, CD44 (CD44 molecule (IN blood group)) [NCBI Gene 960] {aka CDW44, CSPG8, ECM-III, ECMR-III, H-CAM, HCELL}, CXCR4 (C-X-C motif chemokine receptor 4) [NCBI Gene 7852] {aka CD184, D2S201E, FB22, HM89, HSY3RR, LCR1}, CD8A (CD8 subunit alpha) [NCBI Gene 925] {aka CD8, CD8alpha, IMD116, Leu2, p32}, MIF (macrophage migration inhibitory factor) [NCBI Gene 4282] {aka GIF, GLIF, MMIF}
- **Diseases:** CRC (MESH:D015179), tumour (MESH:D009369)

## Full text

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## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12069026/full.md

## References

50 references — full list in the complete paper: https://tomesphere.com/paper/PMC12069026/full.md

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Source: https://tomesphere.com/paper/PMC12069026