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Single-cell transcriptome analysis reveals immune microenvironment changes and insights into the transition from DCIS to IDC with associated prognostic genes.

Authors :
Sun Y
Pan Z
Wang Z
Wang H
Wei L
Cui F
Zou Q
Zhang Z
Source :
Journal of translational medicine [J Transl Med] 2024 Oct 03; Vol. 22 (1), pp. 894. Date of Electronic Publication: 2024 Oct 03.
Publication Year :
2024

Abstract

Background: Ductal carcinoma in situ (DCIS) of the breast is an early stage of breast cancer, and preventing its progression to invasive ductal carcinoma (IDC) is crucial for the early detection and treatment of breast cancer. Although single-cell transcriptome analysis technology has been widely used in breast cancer research, the biological mechanisms underlying the transition from DCIS to IDC remain poorly understood.<br />Results: We identified eight cell types through cell annotation, finding significant differences in T cell proportions between DCIS and IDC. Using this as a basis, we performed pseudotime analysis on T cell subpopulations, revealing that differentially expressed genes primarily regulate immune cell migration and modulation. By intersecting WGCNA results of T cells highly correlated with the subtypes and the differentially expressed genes, we identified six key genes: FGFBP2, GNLY, KLRD1, TYROBP, PRF1, and NKG7. Excluding PRF1, the other five genes were significantly associated with overall survival in breast cancer, highlighting their potential as prognostic biomarkers.<br />Conclusions: We identified immune cells that may play a role in the progression from DCIS to IDC and uncovered five key genes that can serve as prognostic markers for breast cancer. These findings provide insights into the mechanisms underlying the transition from DCIS to IDC, offering valuable perspectives for future research. Additionally, our results contribute to a better understanding of the biological processes involved in breast cancer progression.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
1479-5876
Volume :
22
Issue :
1
Database :
MEDLINE
Journal :
Journal of translational medicine
Publication Type :
Academic Journal
Accession number :
39363164
Full Text :
https://doi.org/10.1186/s12967-024-05706-6