A novel mitochondrial function-associated programmed cell death-related prognostic signature for predicting the prognosis of early breast cancer
Signature (topology)
DOI:
10.3389/fgene.2024.1406426
Publication Date:
2024-07-02T04:48:22Z
AUTHORS (2)
ABSTRACT
Purpose: To screen mitochondrial function-associated PCD-related biomarkers and construct a risk model for predicting the prognosis of early breast cancer. Methods: Data on gene expression levels clinical information were obtained from TCGA database, GSE42568 GSE58812 datasets GEO database. The programmed cell death (PCD) related genes in cancer identified, then LASSO logistic regression, SVM-RFE, random forest (RF), multiple Cox regression analysis employed to prognostic model. Differences immune infiltration, drug sensitivity, immunotherapy response evaluated between groups. Lastly, qRT-PCR was confirm key genes. Results: Total 1,478 DEGs screened normal groups, these involved PI3K-Akt signaling pathway, focal adhesion, ECM-receptor interaction pathways. Then total 178 PCD obtained, followed by four nomogram built. In addition, 2 checkpoint lowly expressed high-risk group, including CD47 LAG3, fraction some cells high- low-risk groups had significant difference, such as macrophage, eosinophil, mast cell, etc., Top3 chemotherapeutics with differences included FH535, MK.2206, bicalutamide. Finally, qRT-qPCR results shown that CREB3L1, CAPG, SPINT1 GRK3 mRNA line bioinformatics results. Conclusion: Four SPINT1, GRK3, established survival patient. chemotherapeutics, containing bicalutamide, might be used
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