Materials And Methods: We analyzed RNA-seq data from the Cancer Genome Atlas (TCGA-STAD) and Gene Expression Omnibus (GEO) datasets, focusing on five cDC1-related genes. The cDC1-related signature was defined and divided into high and low expression groups. We employed gene set variation analysis (GSVA) for oncogenic signaling pathways and conducted comprehensive statistical analyses, including Kaplan-Meier and Cox proportional hazards models.
Results: The high cDC1-related gene signature group was associated with poorer overall and disease-free survival in the TCGA-STAD cohort. Significant differences in CD8+ T cell infiltration and cytotoxic capabilities were observed between high and low CDC1-related signature groups. The study also revealed a strong correlation between CDC1-related signature and increased expression of immune checkpoint proteins and oncogenic pathways, suggesting a complex immunosuppressive tumor microenvironment.
Conclusions: Our findings indicate the potential of the cDC1-related signature as a prognostic marker in GC, offering insights into the tumor-immune interplay. The study underscores the importance of cDC1s in shaping the tumor microenvironment and their influence on patient prognosis in GC. These results may contribute to the development of novel therapeutic strategies targeting the immune microenvironment in GC.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11251796 | PMC |
http://dx.doi.org/10.1155/2024/4468145 | DOI Listing |
J Immunol Res
July 2024
Department of Pathology Dong-A University College of Medicine, Busan, Republic of Korea.
Materials And Methods: We analyzed RNA-seq data from the Cancer Genome Atlas (TCGA-STAD) and Gene Expression Omnibus (GEO) datasets, focusing on five cDC1-related genes. The cDC1-related signature was defined and divided into high and low expression groups. We employed gene set variation analysis (GSVA) for oncogenic signaling pathways and conducted comprehensive statistical analyses, including Kaplan-Meier and Cox proportional hazards models.
View Article and Find Full Text PDFJ Immunol
July 2020
Department of Immunology-Oncology, Maisonneuve-Rosemont Hospital, Montreal, Quebec H1T 2M4, Canada;
Conventional dendritic cells (cDCs) are arguably the most potent APCs that induce the activation of naive T cells in response to pathogens. In addition, at steady-state, cDCs help maintain immune tolerance. Two subsets of cDCs have been extensively characterized, namely cDC1 and cDC2, each contributing differently to immune responses.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!