Defining Gene Signature of Tumor-Associated Macrophages in Intrahepatic Cholangiocarcinoma as Target for Immunotherapy Using Single Cell and Bulk RNA Sequencing

Background: Intrahepatic cholangiocarcinoma (ICC) has a poor prognosis due to late-stage presentation and ineffective systemic therapies. Targeting the tumor microenvironment (TME) in ICC offers new therapeutic possibilities, particularly through tumor-associated macrophages (TAM), which can both promote and inhibit tumor progression. The current study utilized multi-omics analysis to characterize the gene signature of TAM and explore its therapeutic potential in ICC. Methods: Public GEO datasets provided the basis for analysis. Single-cell RNA sequencing (scRNA-seq) data from five ICCs, three adjacent non-tumorous tissues (ANTs), and four healthy liver samples were examined with Python. To validate scRNA-seq findings, bulk RNA-seq data from 27 ICC and 27 matched ANT samples were assessed using R. Differentially expressed genes were identified with adjusted p-values <0.01 and log2-fold changes >1 or <−1. CIBERSORT pipeline analyzed 22 immune cell subtypes in bulk RNA-seq data. STRING database analyzed the contribution of unique TAM-related genes to networks of protein–protein interactions. Results: TAM population demonstrated phenotypic heterogeneity exhibiting partial gene signatures of inflammatory (MS1) and anti-inflammatory (MS2) macrophages. Unique TAM-associated markers, TREM2, CD9, and PRMT10, showed variable expression within the TAM subpopulation. Bulk RNAseq analysis confirmed the scRNA-seq results, highlighting overexpression of TREM2 and CD9 in most ICC samples versus ANT. Immune cell deconvolution revealed decreased MS1 and MS2 macrophages in ICC, and alterations in adaptive immune profile, suggesting immunotolerant TME. STRING database defined TREM2-LGALS3 axis as a potential target for anti-tumor therapies. Conclusions: TAM represents a unique heterogenous population which is primarily found in ICC TME versus ANT or healthy liver tissue The non-uniform expression of unique gene signature demonstrates additional heterogeneity in the TAM subpopulation and suggests that TREM2+ TAM may be desirable targets for anti-TREM2-LGALS3 immunotherapy.

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Journal
Livers
Published
2025-10-29
DOI
https://doi.org/10.3390/livers5040053
Primary Topic
Single-cell and spatial transcriptomics
Type
article
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article

Defining Gene Signature of Tumor-Associated Macrophages in Intrahepatic Cholangiocarcinoma as Target for Immunotherapy Using Single Cell and Bulk RNA Sequencing

Daniel Delitto, Andrea Reitsma, Olivia M. Martinez, Sheri M. Krams et al.
Livers
Single-cell and spatial transcriptomics
article

Defining Gene Signature of Tumor-Associated Macrophages in Intrahepatic Cholangiocarcinoma as Target for Immunotherapy Using Single Cell and Bulk RNA Sequencing

Daniel Delitto, Andrea Reitsma, Olivia M. Martinez, Sheri M. Krams, Joshua Badshah, Ryan M. Lee, Varvara A. Kirchner, Marc L. Melcher
article en

Abstract

Background: Intrahepatic cholangiocarcinoma (ICC) has a poor prognosis due to late-stage presentation and ineffective systemic therapies. Targeting the tumor microenvironment (TME) in ICC offers new therapeutic possibilities, particularly through tumor-associated macrophages (TAM), which can both promote and inhibit tumor progression. The current study utilized multi-omics analysis to characterize the gene signature of TAM and explore its therapeutic potential in ICC. Methods: Public GEO datasets provided the basis for analysis. Single-cell RNA sequencing (scRNA-seq) data from five ICCs, three adjacent non-tumorous tissues (ANTs), and four healthy liver samples were examined with Python. To validate scRNA-seq findings, bulk RNA-seq data from 27 ICC and 27 matched ANT samples were assessed using R. Differentially expressed genes were identified with adjusted p-values <0.01 and log2-fold changes >1 or <−1. CIBERSORT pipeline analyzed 22 immune cell subtypes in bulk RNA-seq data. STRING database analyzed the contribution of unique TAM-related genes to networks of protein–protein interactions. Results: TAM population demonstrated phenotypic heterogeneity exhibiting partial gene signatures of inflammatory (MS1) and anti-inflammatory (MS2) macrophages. Unique TAM-associated markers, TREM2, CD9, and PRMT10, showed variable expression within the TAM subpopulation. Bulk RNAseq analysis confirmed the scRNA-seq results, highlighting overexpression of TREM2 and CD9 in most ICC samples versus ANT. Immune cell deconvolution revealed decreased MS1 and MS2 macrophages in ICC, and alterations in adaptive immune profile, suggesting immunotolerant TME. STRING database defined TREM2-LGALS3 axis as a potential target for anti-tumor therapies. Conclusions: TAM represents a unique heterogenous population which is primarily found in ICC TME versus ANT or healthy liver tissue The non-uniform expression of unique gene signature demonstrates additional heterogeneity in the TAM subpopulation and suggests that TREM2+ TAM may be desirable targets for anti-TREM2-LGALS3 immunotherapy.

LiversVol. 5(4)
Stanford University (US)
Openalex Percentile: Top 72%
Single-cell and spatial transcriptomics
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