Cargando…

Key genes associated with prognosis and metastasis of clear cell renal cell carcinoma

BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is a tumor that frequently shows the hematogenous pathway and tends to be resistant to radiotherapy and chemotherapy. However, the exact mechanism of ccRCC metastasis remains unknown. METHODS: Differentially expressed genes (DEGs) of three gene exp...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhong, Tingting, Jiang, Zeying, Wang, Xiangdong, Wang, Honglei, Song, Meiyi, Chen, Wenfang, Yang, Shicong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740509/
https://www.ncbi.nlm.nih.gov/pubmed/35036081
http://dx.doi.org/10.7717/peerj.12493
_version_ 1784629329242619904
author Zhong, Tingting
Jiang, Zeying
Wang, Xiangdong
Wang, Honglei
Song, Meiyi
Chen, Wenfang
Yang, Shicong
author_facet Zhong, Tingting
Jiang, Zeying
Wang, Xiangdong
Wang, Honglei
Song, Meiyi
Chen, Wenfang
Yang, Shicong
author_sort Zhong, Tingting
collection PubMed
description BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is a tumor that frequently shows the hematogenous pathway and tends to be resistant to radiotherapy and chemotherapy. However, the exact mechanism of ccRCC metastasis remains unknown. METHODS: Differentially expressed genes (DEGs) of three gene expression profiles (GSE85258, GSE105288 and GSE22541) downloaded from the Gene Expression Omnibus (GEO) database were analyzed by GEO2R analysis, and co-expressed DEGs among the datasets were identified using a Venn drawing tool. The co-expressed DEGs were investigated using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis, and hub genes were determined based on the protein-protein interaction network established by STRING. After survival analysis performed on UALCAN website, possible key genes were selected and verified in ccRCC cell lines and ccRCC tissues (n = 44). Statistical analysis was conducted using GraphPad Prism (Version 8.1.1). RESULTS: A total of 104 co-expressed DEGs were identified in the three datasets. Pathway analysis revealed that these genes were enriched in the extracellular matrix (ECM)–receptor interaction, protein digestion and absorption and focal adhesion. Survival analysis on 17 hub genes revealed that four key genes with a significant impact on survival: procollagen C-endopeptidase enhancer (PCOLCE), prolyl 4-hydroxylase subunit beta (P4HB), collagen type VI alpha 2 (COL6A2) and collagen type VI alpha 3 (COL6A3). Patients with higher expression of these key genes had worse survival than those with lower expression. In vitro experiments revealed that the mRNA expression levels of PCOLCE, P4HB and COL6A2 were three times higher and that of COL6A3 mRNA was 16 times higher in the metastatic ccRCC cell line Caki-1 than the corresponding primary cell line Caki-2. Immunohistochemistry revealed higher expression of the proteins encoded by these four genes in metastatic ccRCC compared with tumors from the corresponding primary sites, with statistical significance. CONCLUSION: PCOLCE, P4HB, COL6A2 and COL6A3 are upregulated in metastatic ccRCC and might be related to poor prognosis and distant metastases.
format Online
Article
Text
id pubmed-8740509
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher PeerJ Inc.
record_format MEDLINE/PubMed
spelling pubmed-87405092022-01-14 Key genes associated with prognosis and metastasis of clear cell renal cell carcinoma Zhong, Tingting Jiang, Zeying Wang, Xiangdong Wang, Honglei Song, Meiyi Chen, Wenfang Yang, Shicong PeerJ Bioinformatics BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is a tumor that frequently shows the hematogenous pathway and tends to be resistant to radiotherapy and chemotherapy. However, the exact mechanism of ccRCC metastasis remains unknown. METHODS: Differentially expressed genes (DEGs) of three gene expression profiles (GSE85258, GSE105288 and GSE22541) downloaded from the Gene Expression Omnibus (GEO) database were analyzed by GEO2R analysis, and co-expressed DEGs among the datasets were identified using a Venn drawing tool. The co-expressed DEGs were investigated using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis, and hub genes were determined based on the protein-protein interaction network established by STRING. After survival analysis performed on UALCAN website, possible key genes were selected and verified in ccRCC cell lines and ccRCC tissues (n = 44). Statistical analysis was conducted using GraphPad Prism (Version 8.1.1). RESULTS: A total of 104 co-expressed DEGs were identified in the three datasets. Pathway analysis revealed that these genes were enriched in the extracellular matrix (ECM)–receptor interaction, protein digestion and absorption and focal adhesion. Survival analysis on 17 hub genes revealed that four key genes with a significant impact on survival: procollagen C-endopeptidase enhancer (PCOLCE), prolyl 4-hydroxylase subunit beta (P4HB), collagen type VI alpha 2 (COL6A2) and collagen type VI alpha 3 (COL6A3). Patients with higher expression of these key genes had worse survival than those with lower expression. In vitro experiments revealed that the mRNA expression levels of PCOLCE, P4HB and COL6A2 were three times higher and that of COL6A3 mRNA was 16 times higher in the metastatic ccRCC cell line Caki-1 than the corresponding primary cell line Caki-2. Immunohistochemistry revealed higher expression of the proteins encoded by these four genes in metastatic ccRCC compared with tumors from the corresponding primary sites, with statistical significance. CONCLUSION: PCOLCE, P4HB, COL6A2 and COL6A3 are upregulated in metastatic ccRCC and might be related to poor prognosis and distant metastases. PeerJ Inc. 2022-01-04 /pmc/articles/PMC8740509/ /pubmed/35036081 http://dx.doi.org/10.7717/peerj.12493 Text en ©2022 Zhong et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Zhong, Tingting
Jiang, Zeying
Wang, Xiangdong
Wang, Honglei
Song, Meiyi
Chen, Wenfang
Yang, Shicong
Key genes associated with prognosis and metastasis of clear cell renal cell carcinoma
title Key genes associated with prognosis and metastasis of clear cell renal cell carcinoma
title_full Key genes associated with prognosis and metastasis of clear cell renal cell carcinoma
title_fullStr Key genes associated with prognosis and metastasis of clear cell renal cell carcinoma
title_full_unstemmed Key genes associated with prognosis and metastasis of clear cell renal cell carcinoma
title_short Key genes associated with prognosis and metastasis of clear cell renal cell carcinoma
title_sort key genes associated with prognosis and metastasis of clear cell renal cell carcinoma
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740509/
https://www.ncbi.nlm.nih.gov/pubmed/35036081
http://dx.doi.org/10.7717/peerj.12493
work_keys_str_mv AT zhongtingting keygenesassociatedwithprognosisandmetastasisofclearcellrenalcellcarcinoma
AT jiangzeying keygenesassociatedwithprognosisandmetastasisofclearcellrenalcellcarcinoma
AT wangxiangdong keygenesassociatedwithprognosisandmetastasisofclearcellrenalcellcarcinoma
AT wanghonglei keygenesassociatedwithprognosisandmetastasisofclearcellrenalcellcarcinoma
AT songmeiyi keygenesassociatedwithprognosisandmetastasisofclearcellrenalcellcarcinoma
AT chenwenfang keygenesassociatedwithprognosisandmetastasisofclearcellrenalcellcarcinoma
AT yangshicong keygenesassociatedwithprognosisandmetastasisofclearcellrenalcellcarcinoma