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Investigation of Underlying Biological Association and Targets between Rejection of Renal Transplant and Renal Cancer

BACKGROUND: Post-renal transplant patients have a high likelihood of developing renal cancer. However, the underlying biological mechanisms behind the development of renal cancer in post-kidney transplant patients remain to be elucidated. Therefore, this study aimed to investigate the underlying bio...

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Autores principales: Chen, Yinwei, Liu, Zhanpeng, Yu, Qian, Sun, Xu, Wang, Shuai, Zhu, Qingyi, Yang, Jian, Jiang, Rongjiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10229252/
https://www.ncbi.nlm.nih.gov/pubmed/37261105
http://dx.doi.org/10.1155/2023/5542233
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author Chen, Yinwei
Liu, Zhanpeng
Yu, Qian
Sun, Xu
Wang, Shuai
Zhu, Qingyi
Yang, Jian
Jiang, Rongjiang
author_facet Chen, Yinwei
Liu, Zhanpeng
Yu, Qian
Sun, Xu
Wang, Shuai
Zhu, Qingyi
Yang, Jian
Jiang, Rongjiang
author_sort Chen, Yinwei
collection PubMed
description BACKGROUND: Post-renal transplant patients have a high likelihood of developing renal cancer. However, the underlying biological mechanisms behind the development of renal cancer in post-kidney transplant patients remain to be elucidated. Therefore, this study aimed to investigate the underlying biological mechanism behind the development of renal cell carcinoma in post-renal transplant patients. METHODS: Next-generation sequencing data and corresponding clinical information of patients with clear cell renal cell carcinoma (ccRCC) were obtained from The Cancer Genome Atlas Program (TCGA) database. The microarray data of kidney transplant patients with or without rejection response was obtained from the Gene Expression Omnibus (GEO) database. In addition, statistical analysis was conducted in R software. RESULTS: We identified 55 upregulated genes in the transplant patients with rejection from the GEO datasets (GSE48581, GSE36059, and GSE98320). Furthermore, we conducted bioinformatics analyses, which showed that all of these genes were upregulated in ccRCC tissue. Moreover, a prognosis model was constructed based on four rejection-related genes, including PLAC8, CSTA, AIM2, and LYZ. The prognosis model showed excellent performance in prognosis prediction in a ccRCC cohort. In addition, the machine learning algorithms identified 19 rejection-related genes, including PLAC8, involved in ccRCC occurrence. Finally, the PLAC8 was selected for further research, including its clinical and biological role. CONCLUSION: In all, our study provides novel insight into the transition from the rejection of renal transplant to renal cancer. Meanwhile, PLAC8 could be a potential biomarker for ccRCC diagnosis and prognosis in post-kidney transplant patients.
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spelling pubmed-102292522023-05-31 Investigation of Underlying Biological Association and Targets between Rejection of Renal Transplant and Renal Cancer Chen, Yinwei Liu, Zhanpeng Yu, Qian Sun, Xu Wang, Shuai Zhu, Qingyi Yang, Jian Jiang, Rongjiang Int J Genomics Research Article BACKGROUND: Post-renal transplant patients have a high likelihood of developing renal cancer. However, the underlying biological mechanisms behind the development of renal cancer in post-kidney transplant patients remain to be elucidated. Therefore, this study aimed to investigate the underlying biological mechanism behind the development of renal cell carcinoma in post-renal transplant patients. METHODS: Next-generation sequencing data and corresponding clinical information of patients with clear cell renal cell carcinoma (ccRCC) were obtained from The Cancer Genome Atlas Program (TCGA) database. The microarray data of kidney transplant patients with or without rejection response was obtained from the Gene Expression Omnibus (GEO) database. In addition, statistical analysis was conducted in R software. RESULTS: We identified 55 upregulated genes in the transplant patients with rejection from the GEO datasets (GSE48581, GSE36059, and GSE98320). Furthermore, we conducted bioinformatics analyses, which showed that all of these genes were upregulated in ccRCC tissue. Moreover, a prognosis model was constructed based on four rejection-related genes, including PLAC8, CSTA, AIM2, and LYZ. The prognosis model showed excellent performance in prognosis prediction in a ccRCC cohort. In addition, the machine learning algorithms identified 19 rejection-related genes, including PLAC8, involved in ccRCC occurrence. Finally, the PLAC8 was selected for further research, including its clinical and biological role. CONCLUSION: In all, our study provides novel insight into the transition from the rejection of renal transplant to renal cancer. Meanwhile, PLAC8 could be a potential biomarker for ccRCC diagnosis and prognosis in post-kidney transplant patients. Hindawi 2023-05-23 /pmc/articles/PMC10229252/ /pubmed/37261105 http://dx.doi.org/10.1155/2023/5542233 Text en Copyright © 2023 Yinwei Chen et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Chen, Yinwei
Liu, Zhanpeng
Yu, Qian
Sun, Xu
Wang, Shuai
Zhu, Qingyi
Yang, Jian
Jiang, Rongjiang
Investigation of Underlying Biological Association and Targets between Rejection of Renal Transplant and Renal Cancer
title Investigation of Underlying Biological Association and Targets between Rejection of Renal Transplant and Renal Cancer
title_full Investigation of Underlying Biological Association and Targets between Rejection of Renal Transplant and Renal Cancer
title_fullStr Investigation of Underlying Biological Association and Targets between Rejection of Renal Transplant and Renal Cancer
title_full_unstemmed Investigation of Underlying Biological Association and Targets between Rejection of Renal Transplant and Renal Cancer
title_short Investigation of Underlying Biological Association and Targets between Rejection of Renal Transplant and Renal Cancer
title_sort investigation of underlying biological association and targets between rejection of renal transplant and renal cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10229252/
https://www.ncbi.nlm.nih.gov/pubmed/37261105
http://dx.doi.org/10.1155/2023/5542233
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