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A novel prognostic signature for clear cell renal cell carcinoma constructed using necroptosis-related miRNAs

BACKGROUND: This work aims to analyze the relationship between necroptosis-related microRNAs (miRNAs) and the prognosis of clear cell renal cell carcinoma (ccRCC). METHODS: The miRNAs expression profiles of ccRCC and normal renal tissues from The Cancer Genome Atlas (TCGA) database were used to cons...

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Autores principales: Yu, Zuhu, Lu, Chong, Lu, Bin, Gao, Hong, Liang, Rongfang, Xiang, Wuxing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061693/
https://www.ncbi.nlm.nih.gov/pubmed/36991314
http://dx.doi.org/10.1186/s12864-023-09258-9
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author Yu, Zuhu
Lu, Chong
Lu, Bin
Gao, Hong
Liang, Rongfang
Xiang, Wuxing
author_facet Yu, Zuhu
Lu, Chong
Lu, Bin
Gao, Hong
Liang, Rongfang
Xiang, Wuxing
author_sort Yu, Zuhu
collection PubMed
description BACKGROUND: This work aims to analyze the relationship between necroptosis-related microRNAs (miRNAs) and the prognosis of clear cell renal cell carcinoma (ccRCC). METHODS: The miRNAs expression profiles of ccRCC and normal renal tissues from The Cancer Genome Atlas (TCGA) database were used to construct a matrix of the 13 necroptosis-related miRNAs. Cox regression analysis was used to construct a signature to predict the overall survival of ccRCC patients. The genes targeted by the necroptosis-related miRNAs in the prognostic signature were predicted using miRNA databases. Gene Ontology (Go) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were used to investigate the genes targeted by the necroptosis-related miRNAs. The expression levels of selected miRNAs in 15 paired samples (of ccRCC tissues and adjacent normal renal tissues) were investigated using reverse transcriptase quantitative polymerase chain reaction (RT-qPCR). RESULTS: Six necroptosis-related miRNAs were found to differentially expressed between ccRCC and normal renal tissues. A prognostic signature consisting of miR-223-3p, miR-200a-5p, and miR-500a-3p was constructed using Cox regression analysis and risk scores were calculated. Multivariate Cox regression analysis showed that the hazard ratio was 2.0315 (1.2627–3.2685, P = 0.0035), indicating that the risk score of the signature was an independent risk factor. The receiver operating characteristic (ROC) curve showed that the signature has a favorable predictive capacity and the Kaplan-Meier survival analysis indicated that ccRCC patients with higher risk scores had worse prognoses (P < 0.001). The results of the RT-qPCR verified that all three miRNAs used in the signature were differentially expressed between ccRCC and normal tissues (P < 0.05). CONCLUSION: The three necroptosis-related-miRNAs used in this study could be a valuable signature for the prognosis of ccRCC patients. Necroptosis-related miRNAs should be further explored as prognostic indicators for ccRCC.
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spelling pubmed-100616932023-03-31 A novel prognostic signature for clear cell renal cell carcinoma constructed using necroptosis-related miRNAs Yu, Zuhu Lu, Chong Lu, Bin Gao, Hong Liang, Rongfang Xiang, Wuxing BMC Genomics Research BACKGROUND: This work aims to analyze the relationship between necroptosis-related microRNAs (miRNAs) and the prognosis of clear cell renal cell carcinoma (ccRCC). METHODS: The miRNAs expression profiles of ccRCC and normal renal tissues from The Cancer Genome Atlas (TCGA) database were used to construct a matrix of the 13 necroptosis-related miRNAs. Cox regression analysis was used to construct a signature to predict the overall survival of ccRCC patients. The genes targeted by the necroptosis-related miRNAs in the prognostic signature were predicted using miRNA databases. Gene Ontology (Go) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were used to investigate the genes targeted by the necroptosis-related miRNAs. The expression levels of selected miRNAs in 15 paired samples (of ccRCC tissues and adjacent normal renal tissues) were investigated using reverse transcriptase quantitative polymerase chain reaction (RT-qPCR). RESULTS: Six necroptosis-related miRNAs were found to differentially expressed between ccRCC and normal renal tissues. A prognostic signature consisting of miR-223-3p, miR-200a-5p, and miR-500a-3p was constructed using Cox regression analysis and risk scores were calculated. Multivariate Cox regression analysis showed that the hazard ratio was 2.0315 (1.2627–3.2685, P = 0.0035), indicating that the risk score of the signature was an independent risk factor. The receiver operating characteristic (ROC) curve showed that the signature has a favorable predictive capacity and the Kaplan-Meier survival analysis indicated that ccRCC patients with higher risk scores had worse prognoses (P < 0.001). The results of the RT-qPCR verified that all three miRNAs used in the signature were differentially expressed between ccRCC and normal tissues (P < 0.05). CONCLUSION: The three necroptosis-related-miRNAs used in this study could be a valuable signature for the prognosis of ccRCC patients. Necroptosis-related miRNAs should be further explored as prognostic indicators for ccRCC. BioMed Central 2023-03-29 /pmc/articles/PMC10061693/ /pubmed/36991314 http://dx.doi.org/10.1186/s12864-023-09258-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Yu, Zuhu
Lu, Chong
Lu, Bin
Gao, Hong
Liang, Rongfang
Xiang, Wuxing
A novel prognostic signature for clear cell renal cell carcinoma constructed using necroptosis-related miRNAs
title A novel prognostic signature for clear cell renal cell carcinoma constructed using necroptosis-related miRNAs
title_full A novel prognostic signature for clear cell renal cell carcinoma constructed using necroptosis-related miRNAs
title_fullStr A novel prognostic signature for clear cell renal cell carcinoma constructed using necroptosis-related miRNAs
title_full_unstemmed A novel prognostic signature for clear cell renal cell carcinoma constructed using necroptosis-related miRNAs
title_short A novel prognostic signature for clear cell renal cell carcinoma constructed using necroptosis-related miRNAs
title_sort novel prognostic signature for clear cell renal cell carcinoma constructed using necroptosis-related mirnas
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061693/
https://www.ncbi.nlm.nih.gov/pubmed/36991314
http://dx.doi.org/10.1186/s12864-023-09258-9
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