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A four-microRNA panel in serum may serve as potential biomarker for renal cell carcinoma diagnosis

BACKGROUND: Renal cell carcinoma (RCC) is one out of the most universal malignant tumors globally, and its incidence is increasing annually. MicroRNA (miRNA) in serum could be considered as a non-invasive detecting biomarker for RCC diagnosis. METHOD: A total of 224 participants (112 RCC patients (R...

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Autores principales: Li, Rongkang, Chen, Wenkang, Lu, Chong, Li, Xinji, Chen, Xuan, Huang, Guocheng, Wen, Zhenyu, Li, Hang, Tao, Lingzhi, Hu, Yimin, Zhao, Zhengping, Chen, Zebo, Ni, Liangchao, Lai, Yongqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885090/
https://www.ncbi.nlm.nih.gov/pubmed/36727070
http://dx.doi.org/10.3389/fonc.2022.1076303
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author Li, Rongkang
Chen, Wenkang
Lu, Chong
Li, Xinji
Chen, Xuan
Huang, Guocheng
Wen, Zhenyu
Li, Hang
Tao, Lingzhi
Hu, Yimin
Zhao, Zhengping
Chen, Zebo
Ni, Liangchao
Lai, Yongqing
author_facet Li, Rongkang
Chen, Wenkang
Lu, Chong
Li, Xinji
Chen, Xuan
Huang, Guocheng
Wen, Zhenyu
Li, Hang
Tao, Lingzhi
Hu, Yimin
Zhao, Zhengping
Chen, Zebo
Ni, Liangchao
Lai, Yongqing
author_sort Li, Rongkang
collection PubMed
description BACKGROUND: Renal cell carcinoma (RCC) is one out of the most universal malignant tumors globally, and its incidence is increasing annually. MicroRNA (miRNA) in serum could be considered as a non-invasive detecting biomarker for RCC diagnosis. METHOD: A total of 224 participants (112 RCC patients (RCCs) and 112 normal controls (NCs)) were enrolled in the three-phrase study. Reverse transcription quantitative PCR (RT-qPCR) was applied to reveal the miRNA expression levels in RCCs and NCs. Receiver operating characteristic (ROC) curves and the area under the ROC curve (AUC) were utilized to predict the diagnostic ability of serum miRNAs for RCC. Bioinformatic analysis and survival analysis were also included in our study. RESULTS: Compared to NCs, the expression degree of miR-155-5p, miR-224-5p in serum was significantly upregulated in RCC patients, and miR-1-3p, miR-124-3p, miR-129-5p, and miR-200b-3p were downregulated. A four-miRNA panel was construed, and the AUC of the panel was 0.903 (95% CI: 0.847–0.944; p < 0.001; sensitivity = 75.61%, specificity = 93.67%). Results from GEPIA database indicated that CHL1, MPP5, and SORT1 could be seen as promising target genes of the four-miRNA panel. Survival analysis of candidate miRNAs manifested that miR-155-5p was associated with the survival rate of RCC significantly. CONCLUSIONS: The four-miRNA panel in serum has a great potential to be non-invasive biomarkers for RCC sift to check.
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spelling pubmed-98850902023-01-31 A four-microRNA panel in serum may serve as potential biomarker for renal cell carcinoma diagnosis Li, Rongkang Chen, Wenkang Lu, Chong Li, Xinji Chen, Xuan Huang, Guocheng Wen, Zhenyu Li, Hang Tao, Lingzhi Hu, Yimin Zhao, Zhengping Chen, Zebo Ni, Liangchao Lai, Yongqing Front Oncol Oncology BACKGROUND: Renal cell carcinoma (RCC) is one out of the most universal malignant tumors globally, and its incidence is increasing annually. MicroRNA (miRNA) in serum could be considered as a non-invasive detecting biomarker for RCC diagnosis. METHOD: A total of 224 participants (112 RCC patients (RCCs) and 112 normal controls (NCs)) were enrolled in the three-phrase study. Reverse transcription quantitative PCR (RT-qPCR) was applied to reveal the miRNA expression levels in RCCs and NCs. Receiver operating characteristic (ROC) curves and the area under the ROC curve (AUC) were utilized to predict the diagnostic ability of serum miRNAs for RCC. Bioinformatic analysis and survival analysis were also included in our study. RESULTS: Compared to NCs, the expression degree of miR-155-5p, miR-224-5p in serum was significantly upregulated in RCC patients, and miR-1-3p, miR-124-3p, miR-129-5p, and miR-200b-3p were downregulated. A four-miRNA panel was construed, and the AUC of the panel was 0.903 (95% CI: 0.847–0.944; p < 0.001; sensitivity = 75.61%, specificity = 93.67%). Results from GEPIA database indicated that CHL1, MPP5, and SORT1 could be seen as promising target genes of the four-miRNA panel. Survival analysis of candidate miRNAs manifested that miR-155-5p was associated with the survival rate of RCC significantly. CONCLUSIONS: The four-miRNA panel in serum has a great potential to be non-invasive biomarkers for RCC sift to check. Frontiers Media S.A. 2023-01-16 /pmc/articles/PMC9885090/ /pubmed/36727070 http://dx.doi.org/10.3389/fonc.2022.1076303 Text en Copyright © 2023 Li, Chen, Lu, Li, Chen, Huang, Wen, Li, Tao, Hu, Zhao, Chen, Ni and Lai https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Li, Rongkang
Chen, Wenkang
Lu, Chong
Li, Xinji
Chen, Xuan
Huang, Guocheng
Wen, Zhenyu
Li, Hang
Tao, Lingzhi
Hu, Yimin
Zhao, Zhengping
Chen, Zebo
Ni, Liangchao
Lai, Yongqing
A four-microRNA panel in serum may serve as potential biomarker for renal cell carcinoma diagnosis
title A four-microRNA panel in serum may serve as potential biomarker for renal cell carcinoma diagnosis
title_full A four-microRNA panel in serum may serve as potential biomarker for renal cell carcinoma diagnosis
title_fullStr A four-microRNA panel in serum may serve as potential biomarker for renal cell carcinoma diagnosis
title_full_unstemmed A four-microRNA panel in serum may serve as potential biomarker for renal cell carcinoma diagnosis
title_short A four-microRNA panel in serum may serve as potential biomarker for renal cell carcinoma diagnosis
title_sort four-microrna panel in serum may serve as potential biomarker for renal cell carcinoma diagnosis
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885090/
https://www.ncbi.nlm.nih.gov/pubmed/36727070
http://dx.doi.org/10.3389/fonc.2022.1076303
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