Back

Small extracellular vesicular transfer of MYCN and glycolytic cargo coordinates metabolic and immunological reprogramming in neuroblastoma in vitro

Ma, L.; Liu, M.; Piskareva, O.

2026-04-29 cancer biology
10.64898/2026.04.27.721043 bioRxiv
Show abstract

Extracellular vesicles (EVs) are emerging mediators of oncogenic communication within the neuroblastoma (NB) tumour microenvironment (TEM). Here, we investigated how constitutive MYCN overexpression influences the proteomic and functional properties of small EVs (sEVs) derived from SKNAS-MYCN-GFP (SK-M) cells and assessed their impact on non-cancerous immune cells. SK-M cells exhibited robust MYCN upregulation at both the mRNA and protein levels and produced sEVs that were selectively enriched in MYCN. Transwell co-culture revealed transfer of MYCN-GFP to recipient DC2.4 nuclei, indicating intercellular transport of functional transcription factor cargo. LC-MS/MS profiling showed that SK-M sEVs incorporated oncogenic cargo non-randomly, displaying significant enrichment of metabolic and MYC/MYCN-regulated pathways, including glycolysis, mTORC1 signalling, and suppression of oxidative phosphorylation (OXPHOS). These observations are consistent with emerging evidence that MYC family proteins can regulate metabolism through vesicular transfer of glycolytic kinases to neighbouring cells. Functionally, SK-M cells displayed elevated lactate secretion and reduced acetyl-CoA, and their sEVs induced a glycolytic shift in recipient immune cells, increasing lactate output in DC2.4, RAW264.7, BMDCs, and splenocytes. sEV-treated BMDCs and splenocytes acquired immunoregulatory phenotypes characterised by increased IL-10, reduced IL-12, expansion of regulatory T cells (Tregs), and macrophage polarization toward an M2-like state. These findings demonstrate that MYCN-driven NB cells disseminate metabolic and immunosuppressive cues via sEVs, reshaping the local immune landscape to favour tumour tolerance. This study provides mechanistic insight into how MYCN-amplified NB cells exploit EV-based communication to coordinate metabolic rewiring and immune escape.

Matching journals

The top 14 journals account for 50% of the predicted probability mass.

1
Nature Communications
4913 papers in training set
Top 17%
10.3%
2
Cell Reports
1338 papers in training set
Top 5%
7.3%
3
Cancer Cell
38 papers in training set
Top 0.3%
4.4%
4
The EMBO Journal
267 papers in training set
Top 0.1%
4.4%
5
Developmental Cell
168 papers in training set
Top 5%
4.0%
6
EMBO Molecular Medicine
85 papers in training set
Top 0.5%
3.7%
7
Neuro-Oncology
30 papers in training set
Top 0.3%
2.9%
8
eLife
5422 papers in training set
Top 30%
2.9%
9
iScience
1063 papers in training set
Top 9%
2.1%
10
Cell Reports Medicine
140 papers in training set
Top 3%
2.1%
11
Molecular Cancer
14 papers in training set
Top 0.2%
1.9%
12
Journal of Extracellular Vesicles
50 papers in training set
Top 0.1%
1.9%
13
Communications Biology
886 papers in training set
Top 8%
1.7%
14
Advanced Science
249 papers in training set
Top 11%
1.7%
50% of probability mass above
15
Journal of Clinical Investigation
164 papers in training set
Top 3%
1.7%
16
EMBO reports
136 papers in training set
Top 2%
1.7%
17
Cancer Research
116 papers in training set
Top 2%
1.7%
18
Frontiers in Immunology
586 papers in training set
Top 4%
1.7%
19
Science Advances
1098 papers in training set
Top 20%
1.5%
20
PLOS Pathogens
721 papers in training set
Top 6%
1.5%
21
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 36%
1.4%
22
Journal of Cell Biology
333 papers in training set
Top 3%
1.4%
23
Neurobiology of Disease
134 papers in training set
Top 3%
1.4%
24
Cancers
200 papers in training set
Top 3%
1.3%
25
Cell Genomics
162 papers in training set
Top 5%
1.1%
26
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 6%
1.1%
27
Neoplasia
22 papers in training set
Top 0.5%
0.9%
28
Clinical Cancer Research
58 papers in training set
Top 2%
0.8%
29
Cell Communication and Signaling
35 papers in training set
Top 0.9%
0.8%
30
JCI Insight
241 papers in training set
Top 6%
0.8%