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Characterization of the Angiosarcoma Microenvironment

ABSTRACT: Angiosarcomas are ultra-rare, highly aggressive sarcomas with limited treatment options and dismal prognosis. In this project, we quantified immune cell infiltrates in the angiosarcoma tumor microenvironment. Unsupervised clustering was applied to reveal prognostically significant immune phenotypes. Proteomic profiling of 88 angiosarcoma samples (54 primary tissue, 17 local relapse tissue, and 17 metastatic tissue), 20 benign control tissues and 9 pooled groups was performed by LC–MS/MS to compare various AS subtypes, as well as up- and downregulated pathways between immune cell clusters.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

DISEASE(S): Cancer

SUBMITTER: Proteomics Facility

LAB HEAD: Prof. Dr. Alexander Quaas

PROVIDER: PXD070528 | Pride | 2026-03-13

REPOSITORIES: Pride

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Project description:Predicting male fertility remains a major challenge in livestock industry. Seminal plasma contains a heterogeneous population of extracellular vesicles (sEVs) that are involved in the regulation of sperm functionality and may therefore be involved in male fertility. The aim of this study was to evaluate whether the protein load of sEVs differs between boars showing differences in fertility when used for artificial insemination (AI). An in-depth quantitative proteomic analysis was performed on two subsets of sEVs of different size (small [S] and large [L]) isolated from boars with different reproductive performance as assessed by farrowing rate (FR) and litter size (LS). Seminal plasma samples from 18 AI-boars (three per boar) from four fertility groups: high FR (H-FR, n=5), low FR (L-FR, n=5), large LS (L-LS, n=4), and small LS (S-LS, n=4) were used. Seminal plasma samples from each fertility group were randomly mixed resulting in three seminal plasma pools per fertility group. Seminal EVs were isolated by size exclusion chromatography and characterized according to MISEV2023 guidelines. Proteomic analysis was performed using a Bruker timsTOF fleX™ instrument with dia PASEF technology. A total of 470 and 726 proteins were quantified in S-sEVs, and 1,801 and 1,834 proteins in L-sEVs from boars with differences in FR and LS, respectively. Differential protein abundance analysis revealed three and 12 proteins quantified (P ≤ 0.05) only in S-sEVs and L-sEVs from L-FR boar samples, and 37 and five proteins quantified (P ≤ 0.05) only in S-sEVs and L-sEVs from L-LS boar samples, respectively. For proteins quantified in all fertility groups, the comparison between L-FR and H-FR boar samples revealed 4 and 40 differentially abundant proteins (DAPs; log2 fold change ≥ ±1, P ≤ 0.05) in S-sEVs and L-sEVs, respectively. When comparing L-LS and S-LS boar samples, 10 and 47 DAPs were identified in S-sEVs and L-sEVs, respectively. These results show that the protein load of sEVs varies between more and less fertile boars and that the DAPs are different between S-sEVs and L-sEVs. These results would support that sEVs proteins would be involved in the fertility of boars and that those that are exclusively and/or differentially abundant between more and less fertile boars could be candidates for fertility biomarkers

			Action	DRS
	4540-samples.zip	Other
	4540_HUMANc_FR6-FR12_mbr-lib.tsv.speclib	Tabular
	PRIDE_4540.zip	Other
	PRIDE_Experiment.xlsx	Xlsx
	checksum.txt	Txt

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Characterization of the Angiosarcoma Microenvironment

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