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Integrated analysis of the roles of oxidative stress related genes and prognostic value in clear cell renal cell carcinoma

BACKGROUND: Patients with clear cell renal cell carcinoma (ccRCC), which is the most commonly diagnosed subtype of renal cell carcinoma, are at risk of tumor metastasis and recrudescence. Previous research has shown that oxidative stress can induce tumorigenesis in many cancers and can be a target o...

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Autores principales: Wang, Danwen, Deng, Zhao, Lu, Mengxin, Deng, Kai, Li, Zhiqiang, Zhou, Fenfang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10465389/
https://www.ncbi.nlm.nih.gov/pubmed/37340189
http://dx.doi.org/10.1007/s00432-023-04983-w
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author Wang, Danwen
Deng, Zhao
Lu, Mengxin
Deng, Kai
Li, Zhiqiang
Zhou, Fenfang
author_facet Wang, Danwen
Deng, Zhao
Lu, Mengxin
Deng, Kai
Li, Zhiqiang
Zhou, Fenfang
author_sort Wang, Danwen
collection PubMed
description BACKGROUND: Patients with clear cell renal cell carcinoma (ccRCC), which is the most commonly diagnosed subtype of renal cell carcinoma, are at risk of tumor metastasis and recrudescence. Previous research has shown that oxidative stress can induce tumorigenesis in many cancers and can be a target of cancer treatment. Despite these findings, little progress has been made understanding in the association of oxidative stress-related genes (OSRGs) with ccRCC. METHODS: In vitro experiments were conducted with MTT survival assays, qRT‒PCR, apoptosis assays, cell cycle assays, ROS assays, and IHC staining. RESULTS: In our study, 12 differentially expressed oxidative stress-related genes (DEOSGs) and related transcription factors (TFs) that are relevant to overall survival (OS) were screened, and their mutual regulatory networks were constructed with data from the TCGA database. Moreover, we constructed a risk model of these OSRGs and performed clinical prognostic analysis and validation. Next, we performed protein–protein interaction (PPI) network analysis and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of MELK, PYCR1, and PML. A tissue microarray also verified the high expression of MELK and PYCR1 in ccRCC. Finally, in vitro cellular experiments demonstrated that knockdown of MELK or PYCR1 significantly inhibited ccRCC cell proliferation by causing cell apoptosis and inducing cell cycle arrest in the G1 phase. Intracellular ROS levels were elevated after these two genes were knocked down. CONCLUSION: Our results revealed the potential DEORGs to be used in ccRCC prognostic prediction and identified two biomarkers, named PYCR1 and MELK, which regulated the proliferation of ccRCC cells by affecting ROS levels. Furthermore, PYCR1 and MELK could be promising targets for predicting the progression and prognosis of ccRCC, thereby serving as new targets for medical treatments. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00432-023-04983-w.
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spelling pubmed-104653892023-08-31 Integrated analysis of the roles of oxidative stress related genes and prognostic value in clear cell renal cell carcinoma Wang, Danwen Deng, Zhao Lu, Mengxin Deng, Kai Li, Zhiqiang Zhou, Fenfang J Cancer Res Clin Oncol Research BACKGROUND: Patients with clear cell renal cell carcinoma (ccRCC), which is the most commonly diagnosed subtype of renal cell carcinoma, are at risk of tumor metastasis and recrudescence. Previous research has shown that oxidative stress can induce tumorigenesis in many cancers and can be a target of cancer treatment. Despite these findings, little progress has been made understanding in the association of oxidative stress-related genes (OSRGs) with ccRCC. METHODS: In vitro experiments were conducted with MTT survival assays, qRT‒PCR, apoptosis assays, cell cycle assays, ROS assays, and IHC staining. RESULTS: In our study, 12 differentially expressed oxidative stress-related genes (DEOSGs) and related transcription factors (TFs) that are relevant to overall survival (OS) were screened, and their mutual regulatory networks were constructed with data from the TCGA database. Moreover, we constructed a risk model of these OSRGs and performed clinical prognostic analysis and validation. Next, we performed protein–protein interaction (PPI) network analysis and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of MELK, PYCR1, and PML. A tissue microarray also verified the high expression of MELK and PYCR1 in ccRCC. Finally, in vitro cellular experiments demonstrated that knockdown of MELK or PYCR1 significantly inhibited ccRCC cell proliferation by causing cell apoptosis and inducing cell cycle arrest in the G1 phase. Intracellular ROS levels were elevated after these two genes were knocked down. CONCLUSION: Our results revealed the potential DEORGs to be used in ccRCC prognostic prediction and identified two biomarkers, named PYCR1 and MELK, which regulated the proliferation of ccRCC cells by affecting ROS levels. Furthermore, PYCR1 and MELK could be promising targets for predicting the progression and prognosis of ccRCC, thereby serving as new targets for medical treatments. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00432-023-04983-w. Springer Berlin Heidelberg 2023-06-20 2023 /pmc/articles/PMC10465389/ /pubmed/37340189 http://dx.doi.org/10.1007/s00432-023-04983-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Wang, Danwen
Deng, Zhao
Lu, Mengxin
Deng, Kai
Li, Zhiqiang
Zhou, Fenfang
Integrated analysis of the roles of oxidative stress related genes and prognostic value in clear cell renal cell carcinoma
title Integrated analysis of the roles of oxidative stress related genes and prognostic value in clear cell renal cell carcinoma
title_full Integrated analysis of the roles of oxidative stress related genes and prognostic value in clear cell renal cell carcinoma
title_fullStr Integrated analysis of the roles of oxidative stress related genes and prognostic value in clear cell renal cell carcinoma
title_full_unstemmed Integrated analysis of the roles of oxidative stress related genes and prognostic value in clear cell renal cell carcinoma
title_short Integrated analysis of the roles of oxidative stress related genes and prognostic value in clear cell renal cell carcinoma
title_sort integrated analysis of the roles of oxidative stress related genes and prognostic value in clear cell renal cell carcinoma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10465389/
https://www.ncbi.nlm.nih.gov/pubmed/37340189
http://dx.doi.org/10.1007/s00432-023-04983-w
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