Spatial Distribution Pattern of Immune Cells is Associated with Patient Prognosis in Colorectal Cancer

Overview

Journal J Transl Med

Publisher Biomed Central

Specialties Biomedical Engineering
General Medicine

Date 2024 Jul 2

PMID 38951801

Authors

Rongfang Shen

Ying Huang

Deyang Kong

Wenhui Ma

Jie Liu

Haizeng Zhang

Shujun Cheng

Lin Feng

Affiliations

Soon will be listed here.

Abstract

Background: The spatial context of tumor-infiltrating immune cells (TIICs) is important in predicting colorectal cancer (CRC) patients' clinical outcomes. However, the prognostic value of the TIIC spatial distribution is unknown. Thus, we aimed to investigate the association between TIICs in situ and patient prognosis in a large CRC sample.

Methods: We implemented multiplex immunohistochemistry staining technology in 190 CRC samples to quantify 14 TIIC subgroups in situ. To delineate the spatial relationship of TIICs to tumor cells, tissue slides were segmented into tumor cell and microenvironment compartments based on image recognition technology, and the distance between immune and tumor cells was calculated by implementing the computational pipeline phenoptr.

Results: MPO neutrophils and CD68IDO1 tumor-associated macrophages (TAMs) were enriched in the epithelial compartment, and myeloid lineage cells were located nearest to tumor cells. Except for CD68CD163 TAMs, other cells were all positively associated with favorable prognosis. The prognostic predictive power of TIICs was highly related to their distance to tumor cells. Unsupervised clustering analysis divided colorectal cancer into three subtypes with distinct prognostic outcomes, and correlation analysis revealed the synergy among B cells, CD68IDO1TAMs, and T lineage cells in producing an effective immune response.

Conclusions: Our study suggests that the integration of spatial localization with TIIC abundance is important for comprehensive prognostic assessment.

Citing Articles

NSG2: a promising prognostic marker shaping the immune landscape of breast cancer.

Li X, Gu Q, Sun P, Yang L, Zhang X, Lu B Front Immunol. 2024; 15:1487447.

PMID: 39493764 PMC: 11527618. DOI: 10.3389/fimmu.2024.1487447.

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