Cargando…
Identification of key genes and functions of circulating tumor cells in multiple cancers through bioinformatic analysis
BACKGROUND: Circulating tumor cells (CTCs) play a key role in cancer progression, especially metastasis, due to the rarity and heterogeneity of CTCs, fewer researches have been conducted on them at the molecular level. However, through the Gene Expression Omnibus (GEO) database, this kind of minorit...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513313/ https://www.ncbi.nlm.nih.gov/pubmed/32972417 http://dx.doi.org/10.1186/s12920-020-00795-w |
_version_ | 1783586358295527424 |
---|---|
author | Guan, Yibing Xu, Fangshi Wang, Yiyuan Tian, Juanhua Wan, Ziyan Wang, Zhenlong Chong, Tie |
author_facet | Guan, Yibing Xu, Fangshi Wang, Yiyuan Tian, Juanhua Wan, Ziyan Wang, Zhenlong Chong, Tie |
author_sort | Guan, Yibing |
collection | PubMed |
description | BACKGROUND: Circulating tumor cells (CTCs) play a key role in cancer progression, especially metastasis, due to the rarity and heterogeneity of CTCs, fewer researches have been conducted on them at the molecular level. However, through the Gene Expression Omnibus (GEO) database, this kind of minority researches can be well integrated, the gene expression differences between CTCs and primary tumors can be identified, and molecular targets for CTCs can be found. METHODS: We analyzed 7 sets of gene chips (GSE82198, GSE99394, GSE31023, GSE65505, GSE67982, GSE76250, GSE50746) obtained by GEO. Analysis of differentially expressed genes (DEGs) between CTCs and corresponding primary tumors by NetworkAnalyst. Metascape tool for Gene Ontology (GO) / Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of differential genes and visual display. Cytoscape performs protein-protein interaction (PPI) analysis and obtains the hub genes. Renal cancer patients’ clinical specimens to verify the correctness of enrichment results. Prognostic analysis of hub genes in kidney cancer patients using the Kaplan–Meier plotter survival analysis tool. RESULTS: We obtained a total of 589 DEGs. The GO / KEGG enrichment results indicate that the DEGs are mainly concentrated in cell adhesion, epithelial-mesenchymal transition (EMT), and apoptosis. Renal cancer clinical specimens suggest that CTCs have epithelial and mesenchymal types. At the same time, PSMC2 can be used as a poor prognostic indicator for renal cancer patients. CONCLUSIONS: In summary, our study suggests that compared with primary tumors, CTCs mainly change cell adhesion, EMT, and apoptosis. PSMC2 can be used as a poor prognostic factor. |
format | Online Article Text |
id | pubmed-7513313 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75133132020-09-25 Identification of key genes and functions of circulating tumor cells in multiple cancers through bioinformatic analysis Guan, Yibing Xu, Fangshi Wang, Yiyuan Tian, Juanhua Wan, Ziyan Wang, Zhenlong Chong, Tie BMC Med Genomics Research Article BACKGROUND: Circulating tumor cells (CTCs) play a key role in cancer progression, especially metastasis, due to the rarity and heterogeneity of CTCs, fewer researches have been conducted on them at the molecular level. However, through the Gene Expression Omnibus (GEO) database, this kind of minority researches can be well integrated, the gene expression differences between CTCs and primary tumors can be identified, and molecular targets for CTCs can be found. METHODS: We analyzed 7 sets of gene chips (GSE82198, GSE99394, GSE31023, GSE65505, GSE67982, GSE76250, GSE50746) obtained by GEO. Analysis of differentially expressed genes (DEGs) between CTCs and corresponding primary tumors by NetworkAnalyst. Metascape tool for Gene Ontology (GO) / Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of differential genes and visual display. Cytoscape performs protein-protein interaction (PPI) analysis and obtains the hub genes. Renal cancer patients’ clinical specimens to verify the correctness of enrichment results. Prognostic analysis of hub genes in kidney cancer patients using the Kaplan–Meier plotter survival analysis tool. RESULTS: We obtained a total of 589 DEGs. The GO / KEGG enrichment results indicate that the DEGs are mainly concentrated in cell adhesion, epithelial-mesenchymal transition (EMT), and apoptosis. Renal cancer clinical specimens suggest that CTCs have epithelial and mesenchymal types. At the same time, PSMC2 can be used as a poor prognostic indicator for renal cancer patients. CONCLUSIONS: In summary, our study suggests that compared with primary tumors, CTCs mainly change cell adhesion, EMT, and apoptosis. PSMC2 can be used as a poor prognostic factor. BioMed Central 2020-09-24 /pmc/articles/PMC7513313/ /pubmed/32972417 http://dx.doi.org/10.1186/s12920-020-00795-w Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 Article Guan, Yibing Xu, Fangshi Wang, Yiyuan Tian, Juanhua Wan, Ziyan Wang, Zhenlong Chong, Tie Identification of key genes and functions of circulating tumor cells in multiple cancers through bioinformatic analysis |
title | Identification of key genes and functions of circulating tumor cells in multiple cancers through bioinformatic analysis |
title_full | Identification of key genes and functions of circulating tumor cells in multiple cancers through bioinformatic analysis |
title_fullStr | Identification of key genes and functions of circulating tumor cells in multiple cancers through bioinformatic analysis |
title_full_unstemmed | Identification of key genes and functions of circulating tumor cells in multiple cancers through bioinformatic analysis |
title_short | Identification of key genes and functions of circulating tumor cells in multiple cancers through bioinformatic analysis |
title_sort | identification of key genes and functions of circulating tumor cells in multiple cancers through bioinformatic analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513313/ https://www.ncbi.nlm.nih.gov/pubmed/32972417 http://dx.doi.org/10.1186/s12920-020-00795-w |
work_keys_str_mv | AT guanyibing identificationofkeygenesandfunctionsofcirculatingtumorcellsinmultiplecancersthroughbioinformaticanalysis AT xufangshi identificationofkeygenesandfunctionsofcirculatingtumorcellsinmultiplecancersthroughbioinformaticanalysis AT wangyiyuan identificationofkeygenesandfunctionsofcirculatingtumorcellsinmultiplecancersthroughbioinformaticanalysis AT tianjuanhua identificationofkeygenesandfunctionsofcirculatingtumorcellsinmultiplecancersthroughbioinformaticanalysis AT wanziyan identificationofkeygenesandfunctionsofcirculatingtumorcellsinmultiplecancersthroughbioinformaticanalysis AT wangzhenlong identificationofkeygenesandfunctionsofcirculatingtumorcellsinmultiplecancersthroughbioinformaticanalysis AT chongtie identificationofkeygenesandfunctionsofcirculatingtumorcellsinmultiplecancersthroughbioinformaticanalysis |