Back

Adverse prognosis of GM-CSF expression in human cutaneous melanoma

Garcia-Martinez, E.; Nieto-Valle, A.; Barrio-Alonso, C.; Lopez-Navarro, B.; Aviles-Izquierdo, J. A.; Parra-Blanco, V.; Gutierrez-Seijo, A.; Sanchez-Mateos, P.; Samaniego Garcia, R.

2025-06-02 cancer biology
10.1101/2025.05.30.656980 bioRxiv
Show abstract

Tumor-associated macrophages (TAMs) represent a major immune population within the tumor microenvironment, influencing cancer progression and immune responses. Our group previously identified a subset of pro-inflammatory TAMs associated with poor prognosis in human melanoma. GM-CSF, a myeloid-priming cytokine, exhibits context-dependent effects on tumor growth and, despite its clinical use, its role in human melanoma remains undefined. In this study, we demonstrate that GM-CSF is significantly enriched in primary cutaneous melanoma samples from patients who subsequently developed metastasis, compared with non-metastasizing ones. By quantifying GM-CSF expression in TAMs and tumor cells (TCs), we found that high levels, in both TAMs and TCs, correlated with reduced disease-free and overall survival (p< 0.0001). Although GM-CSF receptor subunits were present in TCs and TAMs, their expression did not correlate with clinical outcomes. To explore the pro-metastatic role of GM-CSF, we performed in vitro assays and found that it activates non-canonical signaling pathways, such as STAT3 and PI3K/AKT, and promotes melanoma cell invasion. Consistently, its administration enhanced lung colonization by melanoma cells in a murine model, an effect reversed by CD116 receptor blockade. Furthermore, GM-CSF-primed macrophages secreted higher levels of inflammatory cytokines upon interaction with melanoma cells than those unprimed or primed with the counterpart cytokine M-CSF. Reciprocally, RNA-seq analyses revealed a broader transcriptional reprogramming in melanoma cells exposed to GM-CSF-primed macrophages, which displayed enhanced expression of inflammatory-response genes, suggesting a feedforward loop. Altogether, our findings highlight a potentially pro-tumorigenic GM-CSF-driven paracrine axis in patients with poor-prognosis melanoma, supporting therapeutic strategies aimed at disrupting this signaling network.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Cancers
200 papers in training set
Top 0.1%
18.0%
2
OncoImmunology
22 papers in training set
Top 0.1%
12.2%
3
Frontiers in Immunology
586 papers in training set
Top 2%
4.8%
4
Cancer Research
116 papers in training set
Top 0.8%
3.6%
5
Cancer Immunology, Immunotherapy
11 papers in training set
Top 0.1%
3.5%
6
Scientific Reports
3102 papers in training set
Top 38%
3.5%
7
Journal of Experimental & Clinical Cancer Research
25 papers in training set
Top 0.1%
2.8%
8
Cell Reports
1338 papers in training set
Top 19%
2.6%
50% of probability mass above
9
Cancer Immunology Research
34 papers in training set
Top 0.2%
2.6%
10
Molecular Oncology
50 papers in training set
Top 0.2%
2.4%
11
Nature Communications
4913 papers in training set
Top 47%
2.0%
12
Journal of Investigative Dermatology
42 papers in training set
Top 0.3%
2.0%
13
Oncogene
76 papers in training set
Top 0.9%
1.9%
14
JCI Insight
241 papers in training set
Top 3%
1.8%
15
Cell Reports Medicine
140 papers in training set
Top 3%
1.8%
16
EMBO Molecular Medicine
85 papers in training set
Top 2%
1.7%
17
International Journal of Cancer
42 papers in training set
Top 0.7%
1.5%
18
EMBO reports
136 papers in training set
Top 3%
1.5%
19
Frontiers in Oncology
95 papers in training set
Top 3%
1.2%
20
EBioMedicine
39 papers in training set
Top 0.6%
1.2%
21
Experimental Dermatology
10 papers in training set
Top 0.2%
1.1%
22
Pigment Cell & Melanoma Research
11 papers in training set
Top 0.1%
0.9%
23
Cancer Research Communications
46 papers in training set
Top 0.9%
0.9%
24
Journal of Experimental Medicine
106 papers in training set
Top 4%
0.8%
25
Communications Biology
886 papers in training set
Top 25%
0.7%
26
Journal for ImmunoTherapy of Cancer
64 papers in training set
Top 1%
0.7%
27
Cell Communication and Signaling
35 papers in training set
Top 1%
0.7%
28
Biomedicines
66 papers in training set
Top 3%
0.7%
29
International Journal of Molecular Sciences
453 papers in training set
Top 17%
0.7%
30
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 10%
0.7%