Comprehensive characterization of immune- and inflammation-associated biomarkers based on multi-omics integration in kidney renal clear cell carcinoma
Abstract Background Kidney renal clear cell carcinoma (KIRC) is the most common type of kidney cancer in adults, and it is responsible for approximately 90–95% of cases. Although extensive evidence has suggested that many immune- and inflammation-related genes could serve as effective biomarkers in...
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doaj-f0dceeecb5a3494f82bff4ab675545432020-11-25T03:15:23ZengBMCJournal of Translational Medicine1479-58762019-05-0117111310.1186/s12967-019-1927-yComprehensive characterization of immune- and inflammation-associated biomarkers based on multi-omics integration in kidney renal clear cell carcinomaEnyang Zhao0Lihong Li1Wenfu Zhang2Wanhui Wang3Yunhui Chan4Bosen You5Xuedong Li6Department of Urinary Surgery, The Second Affiliated Hospital of Harbin Medical UniversityDepartment of Urinary Surgery, The Second Affiliated Hospital of Harbin Medical UniversityDepartment of Urinary Surgery, The Second Affiliated Hospital of Harbin Medical UniversityDepartment of Urinary Surgery, The Second Affiliated Hospital of Harbin Medical UniversityDepartment of Urinary Surgery, The Second Affiliated Hospital of Harbin Medical UniversityDepartment of Urinary Surgery, The Second Affiliated Hospital of Harbin Medical UniversityDepartment of Urinary Surgery, The Second Affiliated Hospital of Harbin Medical UniversityAbstract Background Kidney renal clear cell carcinoma (KIRC) is the most common type of kidney cancer in adults, and it is responsible for approximately 90–95% of cases. Although extensive evidence has suggested that many immune- and inflammation-related genes could serve as effective biomarkers in KIRC, the potential associations among immune-, inflammation- and KIRC-related genes has not been sufficiently understood. Methods Here, we integrated multiple levels of data to construct an immune-, inflammation- or KIRC-directed neighbour network (IIKDN network) and a KIRC-related gene-directed network (KIRCD network). Results Our analysis suggested that immune- and inflammation-related genes in the network have special topological characteristics and expression patterns related to KIRC. We further identified five core clusters that showed a tighter network structure and stronger correlation of expression from the KIRCD network. Specifically, multiple-level molecular characteristics were systematically portrayed, including somatic mutation, copy-number variant and DNA methylation for the genes in five core clusters. We discovered that the genes showed strong correlation with respect to the expression and methylation levels in these five core clusters. These five core clusters could become special prognostic biomarkers for KIRC, and functional analysis showed that they were associated with activation of the immune and inflammation systems and cancer progression. Conclusions Our findings highlighted the novel role of the immune and inflammation genes in KIRC.http://link.springer.com/article/10.1186/s12967-019-1927-yImmuneInflammationKidney renal clear cell carcinomaNetwork modulesMulti-omics molecularDNA methylation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Enyang Zhao Lihong Li Wenfu Zhang Wanhui Wang Yunhui Chan Bosen You Xuedong Li |
spellingShingle |
Enyang Zhao Lihong Li Wenfu Zhang Wanhui Wang Yunhui Chan Bosen You Xuedong Li Comprehensive characterization of immune- and inflammation-associated biomarkers based on multi-omics integration in kidney renal clear cell carcinoma Journal of Translational Medicine Immune Inflammation Kidney renal clear cell carcinoma Network modules Multi-omics molecular DNA methylation |
author_facet |
Enyang Zhao Lihong Li Wenfu Zhang Wanhui Wang Yunhui Chan Bosen You Xuedong Li |
author_sort |
Enyang Zhao |
title |
Comprehensive characterization of immune- and inflammation-associated biomarkers based on multi-omics integration in kidney renal clear cell carcinoma |
title_short |
Comprehensive characterization of immune- and inflammation-associated biomarkers based on multi-omics integration in kidney renal clear cell carcinoma |
title_full |
Comprehensive characterization of immune- and inflammation-associated biomarkers based on multi-omics integration in kidney renal clear cell carcinoma |
title_fullStr |
Comprehensive characterization of immune- and inflammation-associated biomarkers based on multi-omics integration in kidney renal clear cell carcinoma |
title_full_unstemmed |
Comprehensive characterization of immune- and inflammation-associated biomarkers based on multi-omics integration in kidney renal clear cell carcinoma |
title_sort |
comprehensive characterization of immune- and inflammation-associated biomarkers based on multi-omics integration in kidney renal clear cell carcinoma |
publisher |
BMC |
series |
Journal of Translational Medicine |
issn |
1479-5876 |
publishDate |
2019-05-01 |
description |
Abstract Background Kidney renal clear cell carcinoma (KIRC) is the most common type of kidney cancer in adults, and it is responsible for approximately 90–95% of cases. Although extensive evidence has suggested that many immune- and inflammation-related genes could serve as effective biomarkers in KIRC, the potential associations among immune-, inflammation- and KIRC-related genes has not been sufficiently understood. Methods Here, we integrated multiple levels of data to construct an immune-, inflammation- or KIRC-directed neighbour network (IIKDN network) and a KIRC-related gene-directed network (KIRCD network). Results Our analysis suggested that immune- and inflammation-related genes in the network have special topological characteristics and expression patterns related to KIRC. We further identified five core clusters that showed a tighter network structure and stronger correlation of expression from the KIRCD network. Specifically, multiple-level molecular characteristics were systematically portrayed, including somatic mutation, copy-number variant and DNA methylation for the genes in five core clusters. We discovered that the genes showed strong correlation with respect to the expression and methylation levels in these five core clusters. These five core clusters could become special prognostic biomarkers for KIRC, and functional analysis showed that they were associated with activation of the immune and inflammation systems and cancer progression. Conclusions Our findings highlighted the novel role of the immune and inflammation genes in KIRC. |
topic |
Immune Inflammation Kidney renal clear cell carcinoma Network modules Multi-omics molecular DNA methylation |
url |
http://link.springer.com/article/10.1186/s12967-019-1927-y |
work_keys_str_mv |
AT enyangzhao comprehensivecharacterizationofimmuneandinflammationassociatedbiomarkersbasedonmultiomicsintegrationinkidneyrenalclearcellcarcinoma AT lihongli comprehensivecharacterizationofimmuneandinflammationassociatedbiomarkersbasedonmultiomicsintegrationinkidneyrenalclearcellcarcinoma AT wenfuzhang comprehensivecharacterizationofimmuneandinflammationassociatedbiomarkersbasedonmultiomicsintegrationinkidneyrenalclearcellcarcinoma AT wanhuiwang comprehensivecharacterizationofimmuneandinflammationassociatedbiomarkersbasedonmultiomicsintegrationinkidneyrenalclearcellcarcinoma AT yunhuichan comprehensivecharacterizationofimmuneandinflammationassociatedbiomarkersbasedonmultiomicsintegrationinkidneyrenalclearcellcarcinoma AT bosenyou comprehensivecharacterizationofimmuneandinflammationassociatedbiomarkersbasedonmultiomicsintegrationinkidneyrenalclearcellcarcinoma AT xuedongli comprehensivecharacterizationofimmuneandinflammationassociatedbiomarkersbasedonmultiomicsintegrationinkidneyrenalclearcellcarcinoma |
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