Cargando…

The Correlation Between the Immune and Epithelial-Mesenchymal Transition Signatures Suggests Potential Therapeutic Targets and Prognosis Prediction Approaches in Kidney Cancer

Both epithelial-mesenchymal transition (EMT) and immune regulation are important biological process in malignant tumours. The current research aims to comprehensively explore the potential association between the epithelial-mesenchymal transition (EMT) signature and immune checkpoint signature and i...

Descripción completa

Detalles Bibliográficos
Autores principales: Liang, Jiayu, Liu, Zhihong, Zou, Zijun, Tang, Yongquan, Zhou, Chuan, Yang, Jian, Wei, Xin, Lu, Yiping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5919934/
https://www.ncbi.nlm.nih.gov/pubmed/29700419
http://dx.doi.org/10.1038/s41598-018-25002-w
_version_ 1783317727356649472
author Liang, Jiayu
Liu, Zhihong
Zou, Zijun
Tang, Yongquan
Zhou, Chuan
Yang, Jian
Wei, Xin
Lu, Yiping
author_facet Liang, Jiayu
Liu, Zhihong
Zou, Zijun
Tang, Yongquan
Zhou, Chuan
Yang, Jian
Wei, Xin
Lu, Yiping
author_sort Liang, Jiayu
collection PubMed
description Both epithelial-mesenchymal transition (EMT) and immune regulation are important biological process in malignant tumours. The current research aims to comprehensively explore the potential association between the epithelial-mesenchymal transition (EMT) signature and immune checkpoint signature and its role in predicting the prognosis of clear-cell renal cell carcinoma (ccRCC) patients. EMT-related genes were collected from an experiment-based study and then were investigated using data from the Cancer Genome Atlas. A total of 357 genes were included, and 23 of them that were upregulated and correlated with prognosis were analysed further as core EMT genes in ccRCC. Interestingly, the emerging immune checkpoints CD276, OX40 and TGFB1 were found to be significantly co-expressed with core EMT genes, and TGFB1, CXCR4, IL10, and IL6 were the most important molecules potentially interacting with EMT molecules in our model, as determined from mRNA co-expression and protein-protein interaction network analysis. Additionally, an integrated scoring model based on FOXM1, TIMP1 and IL6 was successfully established to distinguish ccRCC patients with different clinical risks. Our results identified core genes in the EMT-immunophenotyping correlation and evaluated their risk assessment capabilities, providing more potential therapeutic targets and prediction approaches regarding the translational research of treatment and prognosis in ccRCC.
format Online
Article
Text
id pubmed-5919934
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-59199342018-05-01 The Correlation Between the Immune and Epithelial-Mesenchymal Transition Signatures Suggests Potential Therapeutic Targets and Prognosis Prediction Approaches in Kidney Cancer Liang, Jiayu Liu, Zhihong Zou, Zijun Tang, Yongquan Zhou, Chuan Yang, Jian Wei, Xin Lu, Yiping Sci Rep Article Both epithelial-mesenchymal transition (EMT) and immune regulation are important biological process in malignant tumours. The current research aims to comprehensively explore the potential association between the epithelial-mesenchymal transition (EMT) signature and immune checkpoint signature and its role in predicting the prognosis of clear-cell renal cell carcinoma (ccRCC) patients. EMT-related genes were collected from an experiment-based study and then were investigated using data from the Cancer Genome Atlas. A total of 357 genes were included, and 23 of them that were upregulated and correlated with prognosis were analysed further as core EMT genes in ccRCC. Interestingly, the emerging immune checkpoints CD276, OX40 and TGFB1 were found to be significantly co-expressed with core EMT genes, and TGFB1, CXCR4, IL10, and IL6 were the most important molecules potentially interacting with EMT molecules in our model, as determined from mRNA co-expression and protein-protein interaction network analysis. Additionally, an integrated scoring model based on FOXM1, TIMP1 and IL6 was successfully established to distinguish ccRCC patients with different clinical risks. Our results identified core genes in the EMT-immunophenotyping correlation and evaluated their risk assessment capabilities, providing more potential therapeutic targets and prediction approaches regarding the translational research of treatment and prognosis in ccRCC. Nature Publishing Group UK 2018-04-26 /pmc/articles/PMC5919934/ /pubmed/29700419 http://dx.doi.org/10.1038/s41598-018-25002-w Text en © The Author(s) 2018 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Liang, Jiayu
Liu, Zhihong
Zou, Zijun
Tang, Yongquan
Zhou, Chuan
Yang, Jian
Wei, Xin
Lu, Yiping
The Correlation Between the Immune and Epithelial-Mesenchymal Transition Signatures Suggests Potential Therapeutic Targets and Prognosis Prediction Approaches in Kidney Cancer
title The Correlation Between the Immune and Epithelial-Mesenchymal Transition Signatures Suggests Potential Therapeutic Targets and Prognosis Prediction Approaches in Kidney Cancer
title_full The Correlation Between the Immune and Epithelial-Mesenchymal Transition Signatures Suggests Potential Therapeutic Targets and Prognosis Prediction Approaches in Kidney Cancer
title_fullStr The Correlation Between the Immune and Epithelial-Mesenchymal Transition Signatures Suggests Potential Therapeutic Targets and Prognosis Prediction Approaches in Kidney Cancer
title_full_unstemmed The Correlation Between the Immune and Epithelial-Mesenchymal Transition Signatures Suggests Potential Therapeutic Targets and Prognosis Prediction Approaches in Kidney Cancer
title_short The Correlation Between the Immune and Epithelial-Mesenchymal Transition Signatures Suggests Potential Therapeutic Targets and Prognosis Prediction Approaches in Kidney Cancer
title_sort correlation between the immune and epithelial-mesenchymal transition signatures suggests potential therapeutic targets and prognosis prediction approaches in kidney cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5919934/
https://www.ncbi.nlm.nih.gov/pubmed/29700419
http://dx.doi.org/10.1038/s41598-018-25002-w
work_keys_str_mv AT liangjiayu thecorrelationbetweentheimmuneandepithelialmesenchymaltransitionsignaturessuggestspotentialtherapeutictargetsandprognosispredictionapproachesinkidneycancer
AT liuzhihong thecorrelationbetweentheimmuneandepithelialmesenchymaltransitionsignaturessuggestspotentialtherapeutictargetsandprognosispredictionapproachesinkidneycancer
AT zouzijun thecorrelationbetweentheimmuneandepithelialmesenchymaltransitionsignaturessuggestspotentialtherapeutictargetsandprognosispredictionapproachesinkidneycancer
AT tangyongquan thecorrelationbetweentheimmuneandepithelialmesenchymaltransitionsignaturessuggestspotentialtherapeutictargetsandprognosispredictionapproachesinkidneycancer
AT zhouchuan thecorrelationbetweentheimmuneandepithelialmesenchymaltransitionsignaturessuggestspotentialtherapeutictargetsandprognosispredictionapproachesinkidneycancer
AT yangjian thecorrelationbetweentheimmuneandepithelialmesenchymaltransitionsignaturessuggestspotentialtherapeutictargetsandprognosispredictionapproachesinkidneycancer
AT weixin thecorrelationbetweentheimmuneandepithelialmesenchymaltransitionsignaturessuggestspotentialtherapeutictargetsandprognosispredictionapproachesinkidneycancer
AT luyiping thecorrelationbetweentheimmuneandepithelialmesenchymaltransitionsignaturessuggestspotentialtherapeutictargetsandprognosispredictionapproachesinkidneycancer
AT liangjiayu correlationbetweentheimmuneandepithelialmesenchymaltransitionsignaturessuggestspotentialtherapeutictargetsandprognosispredictionapproachesinkidneycancer
AT liuzhihong correlationbetweentheimmuneandepithelialmesenchymaltransitionsignaturessuggestspotentialtherapeutictargetsandprognosispredictionapproachesinkidneycancer
AT zouzijun correlationbetweentheimmuneandepithelialmesenchymaltransitionsignaturessuggestspotentialtherapeutictargetsandprognosispredictionapproachesinkidneycancer
AT tangyongquan correlationbetweentheimmuneandepithelialmesenchymaltransitionsignaturessuggestspotentialtherapeutictargetsandprognosispredictionapproachesinkidneycancer
AT zhouchuan correlationbetweentheimmuneandepithelialmesenchymaltransitionsignaturessuggestspotentialtherapeutictargetsandprognosispredictionapproachesinkidneycancer
AT yangjian correlationbetweentheimmuneandepithelialmesenchymaltransitionsignaturessuggestspotentialtherapeutictargetsandprognosispredictionapproachesinkidneycancer
AT weixin correlationbetweentheimmuneandepithelialmesenchymaltransitionsignaturessuggestspotentialtherapeutictargetsandprognosispredictionapproachesinkidneycancer
AT luyiping correlationbetweentheimmuneandepithelialmesenchymaltransitionsignaturessuggestspotentialtherapeutictargetsandprognosispredictionapproachesinkidneycancer