Bioinformatics analysis of breast cancer specific expression gene based on the single-cell level
10.3760/cma.j.cn115396-20250228-00045
- VernacularTitle:基于单细胞水平乳腺癌特异性表达基因的生物信息学分析
- Author:
Yang WANG
1
;
Guoxuan GAO
;
Rui XIE
;
Zhicheng GE
Author Information
1. 首都医科大学附属北京友谊医院普外科，北京 100050
- Keywords:
Breast neoplasms;
Genes;
Immunity;
Metabolism;
Single-cell detection;
Biomarkers
- From:
International Journal of Surgery
2025;52(6):375-379
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the transcriptomic features of breast cancer and its lymph node metastasis using single-cell RNA sequencing, to identify potential biomarkers for breast cancer.Methods:The GSE180286 single-cell RNA sequencing dataset was used to examine the transcriptomic characteristics of breast cancer and its lymph node metastasis. Following quality control, dimensionality reduction, clustering, and cell annotation of single-cell data, genes associated with breast cancer were identified. Dotplot, FeaturePlot, and other analytical methods were applied to investigate the expression profiles of target genes ( ALOX15B, FAAH, HDGF, KLF5, TLE3, TNS1) across different cell types and to assess their activity in immune and metabolic pathways. Statistical analysis was performed using the bilateral Student′s t-test. Results:ALOX15B, FAAH, HDGF, KLF5, TLE3, and TNS1 were differentially expressed across various cell types in breast cancer. ALOX15B was specifically expressed in macrophages and involved in immune responses, particularly with high activity in complement and inflammatory response pathways. HDGF was primarily expressed in epithelial cells and closely associated with breast cancer proliferation, migration, and angiogenesis. FAAH, KLF5, TLE3, and TNS1 were also closely related to the onset and progression of breast cancer. Co-expression analysis revealed relationships between these genes and breast cancer regulatory genes such as BRCA1 and BRCA2. Conclusions:This study identified 6 breast cancer-specific expressed potential biomarkers, and revealed their expression characteristics in different cell types and their differential activity in immune-metabolism-related pathways. These findings provide potential targets for understanding the molecular mechanisms of breast cancer and developing new therapeutic strategies.
