Integrated single-cell sequencing for the development of a GJA4-based precision immuno-prognostic model in melanoma
Yantao Ding, Si Xie, Wenyang Nie, Yun Bai, Tianyu Yao, Yixiao Wang, Jiajie Chen, Bo Liang, Yi Zhou, Hui Cheng, Zaixing Wang, Shengxiu Liu
TL;DR
This study explores how GJA4 in tumor-associated endothelial cells affects melanoma progression and could help develop personalized treatment models.
Contribution
The study introduces a novel GJA4-based immuno-prognostic model for melanoma using single-cell sequencing and multi-omics data.
Findings
GJA4 is significantly differentially expressed in tumor-associated endothelial cells and is linked to poor prognosis.
GJA4 expression may inhibit CD8+ T cell accumulation in the tumor microenvironment.
GJA4-based risk models show potential as predictive and therapeutic targets for melanoma treatment.
Abstract
•Endothelial cell play an essential role in tumor microenvironment of melanoma.•2.GJA4 Significantly differentially expressed in tumor-associated endothelial cell.•GJA4 expression in tumor endothelial cells may inhibit the accumulation of CD8+ T cells. Endothelial cell play an essential role in tumor microenvironment of melanoma. 2.GJA4 Significantly differentially expressed in tumor-associated endothelial cell. GJA4 expression in tumor endothelial cells may inhibit the accumulation of CD8+ T cells. We conducted an analysis of RNA-seq and microarray data obtained from the TCGA and GEO databases, alongside single-cell RNA sequencing (scRNA-seq) data from glioma patients within the GEO repository. This comprehensive investigation, augmented by experimental studies, concentrated on exploring the interactions between tumor-associated endothelial cells (TECs) and tumors, as well as…
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Taxonomy
TopicsCell Adhesion Molecules Research · Single-cell and spatial transcriptomics · Cancer Genomics and Diagnostics