Back

Integrated Multi-Omics Identifies Lineage-Dependent Myeloid Cells Recruitment and the APP-CD74 Axis as an Immunoregulatory Target in Pediatric High-Grade Glioma

Wang, Z.; Kumar, A.; Umaru, B.; Iyer, A. M.; Khan, K.; Pang, H.-H.; Fouladi, M.; Drissi, R.

2026-05-06 immunology
10.64898/2026.05.01.722277 bioRxiv
Show abstract

Diffuse intrinsic pontine glioma (DIPG) is a devastating pediatric brain tumor with limited treatment options. Emerging evidence indicates infiltration of tumor-associated macrophages (TAMs) within tumor sites, accompanied by an immunosuppressive tumor microenvironment (TME). However, the mechanisms underlying macrophage recruitment and communication between TAMs and other cellular compartments within brain tumors remain poorly understood. Bulk RNA sequencing of 26 DIPG autopsy specimens with matched normal brain tissue, single-cell RNA sequencing data from eight DIPG patients integrated with public pediatric high-grade glioma (pHGG) datasets, and in vitro transwell and flow cytometry assays collectively indicated that DIPG tumors actively recruit monocytes through chemokine-mediated mechanisms. The chemokine expression of tumor cells is driven by a mesenchymal-like (MES-like) lineage state rather than histone mutations, as evidenced by significant correlation between MES-like lineage scores and chemokine expression scores across 46 pHGG cell lines. CellChat analysis identified APP-CD74 signaling as a prominent tumor cell-TAM interaction pathway, supported by immunofluorescence validation. Notably, APP expression was significantly reduced in DIPG tumor tissues compared with normal brain tissue at both the RNA and protein levels. Recombinant APP stimulation of THP-1-derived macrophages induced a robust proinflammatory response, including upregulation of M1-like markers, enrichment of interferon-related pathways, and elevated secretion of inflammatory cytokines. Collectively, these findings indicate that APP suppression in tumors attenuates the antitumor activity of TAMs and promotes an immunosuppressive microenvironment. Furthermore, protein modeling and docking analyses identified the APP-CD74 binding interface, providing a structural basis for therapeutic targeting.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Neuro-Oncology
30 papers in training set
Top 0.1%
23.3%
2
Nature Communications
4913 papers in training set
Top 16%
10.5%
3
Cell Reports Medicine
140 papers in training set
Top 0.6%
5.0%
4
Genome Medicine
154 papers in training set
Top 1%
4.5%
5
Cell Reports
1338 papers in training set
Top 14%
3.7%
6
Journal of Clinical Investigation
164 papers in training set
Top 0.9%
3.7%
50% of probability mass above
7
Journal for ImmunoTherapy of Cancer
64 papers in training set
Top 0.4%
3.0%
8
Advanced Science
249 papers in training set
Top 7%
2.8%
9
Gastroenterology
40 papers in training set
Top 0.7%
2.8%
10
Science Translational Medicine
111 papers in training set
Top 2%
2.2%
11
Acta Neuropathologica
51 papers in training set
Top 0.5%
2.2%
12
Nature Immunology
71 papers in training set
Top 0.9%
2.2%
13
eLife
5422 papers in training set
Top 41%
1.7%
14
Cancer Cell
38 papers in training set
Top 1%
1.5%
15
Journal of Experimental Medicine
106 papers in training set
Top 2%
1.4%
16
Neuro-Oncology Advances
24 papers in training set
Top 0.3%
1.4%
17
Brain
154 papers in training set
Top 3%
1.3%
18
Science Immunology
81 papers in training set
Top 1%
1.3%
19
Immunity
58 papers in training set
Top 3%
1.3%
20
Cancer Discovery
61 papers in training set
Top 2%
1.1%
21
Nature Cancer
35 papers in training set
Top 1%
1.0%
22
Science
429 papers in training set
Top 18%
0.9%
23
JCI Insight
241 papers in training set
Top 6%
0.9%
24
Genome Biology
555 papers in training set
Top 7%
0.8%
25
Science Advances
1098 papers in training set
Top 28%
0.8%
26
Alzheimer's & Dementia
143 papers in training set
Top 3%
0.8%
27
Med
38 papers in training set
Top 0.8%
0.8%
28
Clinical Cancer Research
58 papers in training set
Top 2%
0.8%
29
Nucleic Acids Research
1128 papers in training set
Top 19%
0.7%
30
eBioMedicine
130 papers in training set
Top 5%
0.7%