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Updated: Jul 24, 2025

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Hub gene of disulfidptosis-related immune checkpoints in breast cancer
Ye Wang1,2, Yinmei Deng3, Hui Xie4,5
1Department of Thoracic Surgery, Affiliated Hospital (Clinical College) of Xiangnan University, Chenzhou, 423000, Hunan Province, People's Republic of China.
Abstract:
Disulfidptosis and immune checkpoint genes play an important role in tumor treatment. But there has been less research on the relationship between disulfidptosis and immune checkpoint of breast cancer. The objective of this study was to identify the hub genes of disulfidptosis- related immune checkpoints in breast cancer. We downloaded breast cancer expression data from The Cancer Genome Atlas database. The expression matrix of disulfidptosis-related immune checkpoints genes was established by mathematical method. A protein-protein interaction networks was established based on this expression matrix, and differential expression analysis was performed between normal and tumor samples. Additionally, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to functionally annotate putative diferentially expressed genes. Two hub genes CD80 and CD276 were obtained by mathematical statistics and machine learning. Differential expression of these two genes, prognostic survival analysis, combined diagnostic ROC curve and immune results all showed that they were closely related to the occurrence, development and death of breast tumors. The results of this study open up a new way to explore immunotherapy for breast cancer.
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