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

Allogeneic kidney transplantation (renal allograft) is the most effective treatment for advanced kidney disease. Previous studies have indicated that ferroptosis participates in the progression of acute kidney injury and renal transplant failure. However, few studies have evaluated the prognostic va...

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Autores principales:	Zhenlei Fan, Tao Liu, Hanfei Huang, Jie Lin, Zhong Zeng
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2021
Materias:	ferroptosis renal allograft prognosis gene signature nomogram Biotechnology TP248.13-248.65
Acceso en línea:	https://doaj.org/article/c09683a6b9ec48d8967c2da9115ae41b
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spelling	oai:doaj.org-article:c09683a6b9ec48d8967c2da9115ae41b2021-11-17T14:21:59ZA ferroptosis-related gene signature for graft loss prediction following renal allograft2165-59792165-598710.1080/21655979.2021.1953310https://doaj.org/article/c09683a6b9ec48d8967c2da9115ae41b2021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/21655979.2021.1953310https://doaj.org/toc/2165-5979https://doaj.org/toc/2165-5987Allogeneic kidney transplantation (renal allograft) is the most effective treatment for advanced kidney disease. Previous studies have indicated that ferroptosis participates in the progression of acute kidney injury and renal transplant failure. However, few studies have evaluated the prognostic value of ferroptosis on renal transplantation outcomes. In this study, a total of 22 differentially expressed ferroptosis-related genes (DFGs) were identified, which were mainly enriched in infection-related pathways. Next, a ferroptosis-related 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 1 (CAV1), and ribonucleotide reductase subunit M2 (RRM2), was constructed to predict graft loss following renal allograft. Moreover, receiver operating characteristic (ROC) curves (area under the ROC curve [AUC] > 0.8) demonstrated the accuracy of the gene signature and univariate Cox analysis suggested that the gene signature could play an independent role in graft loss (p < 0.05). Furthermore, the nomogram and calibration plots also indicated the good prognostic capability of the gene signature. Finally, immune-related and cytokine signaling pathways were mostly enriched in renal allograft patients with poor outcomes. Considered together, a ferroptosis-related gene signature and nomogram based on DFGs were created to predict the 1-, 2- and 3- year graft loss probability of renal allograft patients.The gene signature could serve as a valuable biomarker for predicting graft loss, contributing to improving the outcome of allogeneic kidney transplantation.Zhenlei FanTao LiuHanfei HuangJie LinZhong ZengTaylor & Francis Grouparticleferroptosisrenal allograftprognosisgene signaturenomogramBiotechnologyTP248.13-248.65ENBioengineered, Vol 12, Iss 1, Pp 4217-4232 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	ferroptosis renal allograft prognosis gene signature nomogram Biotechnology TP248.13-248.65
spellingShingle	ferroptosis renal allograft prognosis gene signature nomogram Biotechnology TP248.13-248.65 Zhenlei Fan Tao Liu Hanfei Huang Jie Lin Zhong Zeng A ferroptosis-related gene signature for graft loss prediction following renal allograft
description	Allogeneic kidney transplantation (renal allograft) is the most effective treatment for advanced kidney disease. Previous studies have indicated that ferroptosis participates in the progression of acute kidney injury and renal transplant failure. However, few studies have evaluated the prognostic value of ferroptosis on renal transplantation outcomes. In this study, a total of 22 differentially expressed ferroptosis-related genes (DFGs) were identified, which were mainly enriched in infection-related pathways. Next, a ferroptosis-related 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 1 (CAV1), and ribonucleotide reductase subunit M2 (RRM2), was constructed to predict graft loss following renal allograft. Moreover, receiver operating characteristic (ROC) curves (area under the ROC curve [AUC] > 0.8) demonstrated the accuracy of the gene signature and univariate Cox analysis suggested that the gene signature could play an independent role in graft loss (p < 0.05). Furthermore, the nomogram and calibration plots also indicated the good prognostic capability of the gene signature. Finally, immune-related and cytokine signaling pathways were mostly enriched in renal allograft patients with poor outcomes. Considered together, a ferroptosis-related gene signature and nomogram based on DFGs were created to predict the 1-, 2- and 3- year graft loss probability of renal allograft patients.The gene signature could serve as a valuable biomarker for predicting graft loss, contributing to improving the outcome of allogeneic kidney transplantation.
format	article
author	Zhenlei Fan Tao Liu Hanfei Huang Jie Lin Zhong Zeng
author_facet	Zhenlei Fan Tao Liu Hanfei Huang Jie Lin Zhong Zeng
author_sort	Zhenlei Fan
title	A ferroptosis-related gene signature for graft loss prediction following renal allograft
title_short	A ferroptosis-related gene signature for graft loss prediction following renal allograft
title_full	A ferroptosis-related gene signature for graft loss prediction following renal allograft
title_fullStr	A ferroptosis-related gene signature for graft loss prediction following renal allograft
title_full_unstemmed	A ferroptosis-related gene signature for graft loss prediction following renal allograft
title_sort	ferroptosis-related gene signature for graft loss prediction following renal allograft
publisher	Taylor & Francis Group
publishDate	2021
url	https://doaj.org/article/c09683a6b9ec48d8967c2da9115ae41b
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A ferroptosis-related gene signature for graft loss prediction following renal allograft

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