We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Single‑cell RNA‑seq necroptosis‑related genes predict the prognosis of breast cancer and affect the differentiation of CD4<sup>+</sup> T cells in tumor immune microenvironment.
- Authors
Guo, Li; Ma, Xiuzhen; Li, Hong; Yan, Shuxun; Zhang, Kai; Li, Jinping
- Abstract
Breast cancer (BC) is one of the most prevalent types of malignancy and a major cause of cancer-related death. The purpose of the present study was to identify prognostic models of necroptosis-related genes (NRGs) in BC at the single-cell RNA-sequencing level and reveal the role of NRGs in tumour immune microenvironment (TIME). A risk model was constructed based on Cox regression and LASSO methods. Next, high-scoring cell populations were searched through AUCell scores, and cell subtypes were then analyzed by pseudotime analysis. Finally, the expression level of the model genes was verified by reverse transcription-quantitative (RT-qPCR). A new prognostic model was constructed and validated based on five NRGs (BCL2, BIRC3, AIFM1, IFNG and VDAC1), which could effectively predict the prognosis of patients with BC. NRGs were found to be highly active in CD4+ T cells and differentially expressed in their developmental trajectories. Finally, the RT-qPCR results showed that most of the model genes were significantly overexpressed in MDA-MB-231 and MCF-7 cells (P<0.05). In conclusion, an NRG signature with excellent predictive properties in prognosis and TIME was successfully established. Moreover, NRGs were involved in the differentiation and development of CD4+ T cells in TIME. These findings provide potential therapeutic strategies for BC.
- Subjects
T cell differentiation; BREAST cancer prognosis; TUMOR microenvironment; RNA sequencing; CANCER cell differentiation; T cells
- Publication
Molecular & Clinical Oncology, 2024, Vol 21, Issue 1, pN.PAG
- ISSN
2049-9450
- Publication type
Article
- DOI
10.3892/mco.2024.2747