Xenoline-polarized macrophages as an alternative in vitro model of tumor-associated macrophages in glioblastoma

Tumor-associated macrophages (TAMs) are the most abundant non-cancerous cell type in glioblastoma (GBM) and heavily influence GBM biology, contributing to tumor progression, therapeutic resistance, immune evasion, and neovascularization. Current in vitro models that utilize IL-4/IL-13 stimulation fail to capture the transcriptional and functional heterogeneity of TAMs observed in vivo. In this study, we utilize a serum-free indirect co-culture model with patient-derived xenolines to polarize primary human macrophages and characterize their molecular and functional phenotypes. We demonstrate that xenoline-polarized macrophages diverge from classical M1/M2 states and instead adopt transcriptional signatures reflective of TAM subsets identified from patients. Notably, macrophages polarized with the radiation-therapy selected xenoline, JX14P-RT, exhibited gene expression patterns enriched for interferon response and hypoxia, mirroring recurrent GBM samples. In contrast, JX14P TAMs showed enrichment in phagocytic gene sets. Functional validation of these phenotypes revealed discrepancies between the transcriptionally predicted and observed phenotypes, emphasizing the importance of integrating phenotypic validation in sequencing studies. Altogether, our findings establish xenoline-polarized macrophages as a useful alternative to traditional models that can be used to study immune-interactions in vitro.

Authors

Institutions

Publication Details

Journal
Acta Neuropathologica Communications
Published
2025-06-27
DOI
https://doi.org/10.1186/s40478-025-02057-1
Citations
1
Primary Topic
Immune cells in cancer
Type
article
Field-Weighted Citation Impact
0.80

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Xenoline-polarized macrophages as an alternative in vitro model of tumor-associated macrophages in glioblastoma

Amr Elkholy, Kevin J. Lee, Joshua C. Anderson, Taylor L. Schanel et al.
1 citations
Acta Neuropathologica Communications
Immune cells in cancer
0.80
article

Xenoline-polarized macrophages as an alternative in vitro model of tumor-associated macrophages in glioblastoma

Amr Elkholy, Kevin J. Lee, Joshua C. Anderson, Taylor L. Schanel, E. Ahn, C. Ryan Miller, Hasan Alrefai, Christopher D. Willey, Gao Guo, Patricia H. Hicks, Benjamin Lin, M. Kumar
article en
1 citations

Abstract

Tumor-associated macrophages (TAMs) are the most abundant non-cancerous cell type in glioblastoma (GBM) and heavily influence GBM biology, contributing to tumor progression, therapeutic resistance, immune evasion, and neovascularization. Current in vitro models that utilize IL-4/IL-13 stimulation fail to capture the transcriptional and functional heterogeneity of TAMs observed in vivo. In this study, we utilize a serum-free indirect co-culture model with patient-derived xenolines to polarize primary human macrophages and characterize their molecular and functional phenotypes. We demonstrate that xenoline-polarized macrophages diverge from classical M1/M2 states and instead adopt transcriptional signatures reflective of TAM subsets identified from patients. Notably, macrophages polarized with the radiation-therapy selected xenoline, JX14P-RT, exhibited gene expression patterns enriched for interferon response and hypoxia, mirroring recurrent GBM samples. In contrast, JX14P TAMs showed enrichment in phagocytic gene sets. Functional validation of these phenotypes revealed discrepancies between the transcriptionally predicted and observed phenotypes, emphasizing the importance of integrating phenotypic validation in sequencing studies. Altogether, our findings establish xenoline-polarized macrophages as a useful alternative to traditional models that can be used to study immune-interactions in vitro.

Acta Neuropathologica CommunicationsVol. 13(1)
University of Alabama at Birmingham (US)
National Institutes of Health, National Heart, Lung, and Blood Institute, National Cancer Institute
Openalex Percentile: Top 26%
Immune cells in cancer
0.80
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.