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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Main Authors: Enyang Zhao, Lihong Li, Wenfu Zhang, Wanhui Wang, Yunhui Chan, Bosen You, Xuedong Li
Format: Article
Language:English
Published: BMC 2019-05-01
Series:Journal of Translational Medicine
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12967-019-1927-y
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spelling 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
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