Identification of the Potential Prognostic Markers from the miRNA-lncRNA-mRNA Interactions for Metastatic Renal Cancer via Next-Generation Sequencing and Bioinformatics

The survival rate in patients with metastatic renal cell carcinoma (RCC) is low. In addition, metastatic RCC resists traditional treatment. Therefore, identification of novel biomarkers, signaling pathways, and therapeutic targets is an important issue. The aim of the present study is to identify no...

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Main Authors: I-Jeng Yeh, Kuan-Ting Liu, Jheng-Heng Shen, Yen-Hung Wu, Yao-Hua Liu, Meng-Chi Yen, Po-Lin Kuo
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Diagnostics
Subjects:
Online Access:https://www.mdpi.com/2075-4418/10/4/228
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author I-Jeng Yeh
Kuan-Ting Liu
Jheng-Heng Shen
Yen-Hung Wu
Yao-Hua Liu
Meng-Chi Yen
Po-Lin Kuo
author_facet I-Jeng Yeh
Kuan-Ting Liu
Jheng-Heng Shen
Yen-Hung Wu
Yao-Hua Liu
Meng-Chi Yen
Po-Lin Kuo
author_sort I-Jeng Yeh
collection DOAJ
description The survival rate in patients with metastatic renal cell carcinoma (RCC) is low. In addition, metastatic RCC resists traditional treatment. Therefore, identification of novel biomarkers, signaling pathways, and therapeutic targets is an important issue. The aim of the present study is to identify novel prognostic markers from the miRNA-mediated network for the regulation of metastasis of RCC. To address this issue, the RNA of human RCC cell lines, 786-O and ACHN, derived from primary and metastatic sites, respectively, were collected and subjected to RNA sequencing and small RNA sequencing. The bioinformatic analysis revealed that the pathways of the genes with different expressions were related to tumor progression, and identified miRNA and miRNA-long non-coding RNA (lncRNA) interactions, and mRNA. The results revealed that the expressions of seven miRNAs were associated with the overall survival rate of patients with RCC. Furthermore, the expressions of two lncRNA and three protein-coding genes (mRNA) were significantly associated with the increased or decreased disease-free survival rate. Although the detailed regulatory mechanism between miRNAs and targeted genes was not fully understood, our findings present novel prognostic markers and novel insight on miRNA-mediated pathways for metastatic RCC.
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spelling doaj.art-d0680767405a4026baf3ecdae04139022023-11-19T21:48:10ZengMDPI AGDiagnostics2075-44182020-04-0110422810.3390/diagnostics10040228Identification of the Potential Prognostic Markers from the miRNA-lncRNA-mRNA Interactions for Metastatic Renal Cancer via Next-Generation Sequencing and BioinformaticsI-Jeng Yeh0Kuan-Ting Liu1Jheng-Heng Shen2Yen-Hung Wu3Yao-Hua Liu4Meng-Chi Yen5Po-Lin Kuo6Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, TaiwanGraduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, TaiwanDepartment of Emergency Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, TaiwanGraduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, TaiwanDepartment of Emergency Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, TaiwanGraduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, TaiwanGraduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, TaiwanThe survival rate in patients with metastatic renal cell carcinoma (RCC) is low. In addition, metastatic RCC resists traditional treatment. Therefore, identification of novel biomarkers, signaling pathways, and therapeutic targets is an important issue. The aim of the present study is to identify novel prognostic markers from the miRNA-mediated network for the regulation of metastasis of RCC. To address this issue, the RNA of human RCC cell lines, 786-O and ACHN, derived from primary and metastatic sites, respectively, were collected and subjected to RNA sequencing and small RNA sequencing. The bioinformatic analysis revealed that the pathways of the genes with different expressions were related to tumor progression, and identified miRNA and miRNA-long non-coding RNA (lncRNA) interactions, and mRNA. The results revealed that the expressions of seven miRNAs were associated with the overall survival rate of patients with RCC. Furthermore, the expressions of two lncRNA and three protein-coding genes (mRNA) were significantly associated with the increased or decreased disease-free survival rate. Although the detailed regulatory mechanism between miRNAs and targeted genes was not fully understood, our findings present novel prognostic markers and novel insight on miRNA-mediated pathways for metastatic RCC.https://www.mdpi.com/2075-4418/10/4/228kidney cancerrenal cancermetastasisRNA sequencingsmall RNA sequencinglong non-coding RNA (lncRNA)
spellingShingle I-Jeng Yeh
Kuan-Ting Liu
Jheng-Heng Shen
Yen-Hung Wu
Yao-Hua Liu
Meng-Chi Yen
Po-Lin Kuo
Identification of the Potential Prognostic Markers from the miRNA-lncRNA-mRNA Interactions for Metastatic Renal Cancer via Next-Generation Sequencing and Bioinformatics
Diagnostics
kidney cancer
renal cancer
metastasis
RNA sequencing
small RNA sequencing
long non-coding RNA (lncRNA)
title Identification of the Potential Prognostic Markers from the miRNA-lncRNA-mRNA Interactions for Metastatic Renal Cancer via Next-Generation Sequencing and Bioinformatics
title_full Identification of the Potential Prognostic Markers from the miRNA-lncRNA-mRNA Interactions for Metastatic Renal Cancer via Next-Generation Sequencing and Bioinformatics
title_fullStr Identification of the Potential Prognostic Markers from the miRNA-lncRNA-mRNA Interactions for Metastatic Renal Cancer via Next-Generation Sequencing and Bioinformatics
title_full_unstemmed Identification of the Potential Prognostic Markers from the miRNA-lncRNA-mRNA Interactions for Metastatic Renal Cancer via Next-Generation Sequencing and Bioinformatics
title_short Identification of the Potential Prognostic Markers from the miRNA-lncRNA-mRNA Interactions for Metastatic Renal Cancer via Next-Generation Sequencing and Bioinformatics
title_sort identification of the potential prognostic markers from the mirna lncrna mrna interactions for metastatic renal cancer via next generation sequencing and bioinformatics
topic kidney cancer
renal cancer
metastasis
RNA sequencing
small RNA sequencing
long non-coding RNA (lncRNA)
url https://www.mdpi.com/2075-4418/10/4/228
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