A ferroptosis-related gene signature for graft loss prediction following renal allograft

• DOI: 10.1080/21655979.2021.1953310
• Publication Date: 2021-08-02T06:48:15Z
• Authors: Zhenlei Fan; Tao Liu; Hanfei Huang; Jie Lin; Zhong Zeng
• Keywords: Gene signature; Nomogram

Allogeneic kidney transplantation (renal allograft) is the most effective treatment for advanced disease. Previous studies have indicated that ferroptosis participates in progression of acute injury and renal transplant failure. However, few evaluated prognostic value on outcomes. In this study, a total 22 differentially expressed ferroptosis-related genes (DFGs) were identified, which mainly enriched infection-related pathways. Next, gene signature, including GA-binding protein transcription factor subunit beta 1 (GABPB1), cyclin-dependent kinase inhibitor 1A (CDKN1A), Toll-like receptor 4 (TLR4), C-X-C motif chemokine ligand 2 (CXCL2), caveolin (CAV1), ribonucleotide reductase M2 (RRM2), was constructed to predict graft loss following allograft. Moreover, receiver operating characteristic (ROC) curves (area under ROC curve [AUC] > 0.8) demonstrated accuracy signature univariate Cox analysis suggested could play an independent role (p < 0.05). Furthermore, nomogram calibration plots also good capability signature. Finally, immune-related cytokine signaling pathways mostly allograft patients with poor Considered together, based DFGs created 1-, 2- 3- year probability patients.The serve as valuable biomarker predicting loss, contributing improving outcome allogeneic transplantation.