Identification of Key Gene Signatures Associated With Bone Metastasis in Castration-Resistant Prostate Cancer Using Co-Expression Analysis

About 80–90% of castration-resistant prostate cancer (CRPC) patients would develop bone metastasis. However, the molecular mechanisms of bone metastasis are still not clear. This study aimed to detect the differences between the tumor and normal samples in bone after metastatic colonization. Four tr...

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Main Authors: Zhongxiang Yu, Hanlin Zou, Huihao Wang, Qi Li, Dong Yu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2020.571524/full
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spelling doaj-1666fd4fc1a84063816398f8fca1f6f82021-02-02T05:50:22ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2021-02-011010.3389/fonc.2020.571524571524Identification of Key Gene Signatures Associated With Bone Metastasis in Castration-Resistant Prostate Cancer Using Co-Expression AnalysisZhongxiang Yu0Hanlin Zou1Huihao Wang2Qi Li3Dong Yu4Department of Orthopaedics, Shuguang Hospital Affiliated to Shanghai Traditional Chinese Medical University, Shanghai, ChinaDepartment of Orthopedics, Putuo Hospital Affiliated to Shanghai Traditional Chinese Medical University, Shanghai, ChinaShi’s Center of Orthopedics and Traumatology, Shuguang Hospital Affiliated to Shanghai Traditional Chinese Medical University, Shanghai, ChinaDepartment of Oncology, Shuguang Hospital Affiliated to Shanghai Traditional Chinese Medical University, Shanghai, ChinaCenter for Translational Medicine, Second Military Medical University, Shanghai, ChinaAbout 80–90% of castration-resistant prostate cancer (CRPC) patients would develop bone metastasis. However, the molecular mechanisms of bone metastasis are still not clear. This study aimed to detect the differences between the tumor and normal samples in bone after metastatic colonization. Four transcriptional datasets (GSE32269, GSE101607, GSE29650, and GSE74685) were obtained from the GEO database. 1983 differentially expressed genes (DEGs) were first identified between tumor and normal marrow samples in GSE32269. Most of the top 10 up-regulated DEGs are related with prostate cancer, and the top 10 down-regulated DEGs are mainly related with bone development. Seven co-expression modules were then detected based on the 1469 DEGs shared by the four datasets. Three of them were found highly preserved among the four datasets. Enrichment analysis showed that the three modules were respectively enriched in Cell adhesion molecules (CAMs), Leukocyte transendothelial migration and cell cycle, which might play significantly important roles in the tumor development in bone marrow. Ten, 17, and 99 hub genes for each module were then identified. And four genes (C3AR1, IL10RA, LY86, and MS4A6A) were detect to be tightly related to progression of bone metastatic CRPC. ROC curve was plotted and AUC was calculated to distinguish tumor and normal bone marrow samples as well as bone and non-bone metastatic CRPCs. The present study identified key genes and modules involved in bone metastatic CRPCs, which may provide new insights and biomarkers for understanding of the molecular mechanisms of bone metastatic CRPC.https://www.frontiersin.org/articles/10.3389/fonc.2020.571524/fullbone metastatic CRPCdifferentially expressed genesweighted gene co-expression network analysismodulehub genes
collection DOAJ
language English
format Article
sources DOAJ
author Zhongxiang Yu
Hanlin Zou
Huihao Wang
Qi Li
Dong Yu
spellingShingle Zhongxiang Yu
Hanlin Zou
Huihao Wang
Qi Li
Dong Yu
Identification of Key Gene Signatures Associated With Bone Metastasis in Castration-Resistant Prostate Cancer Using Co-Expression Analysis
Frontiers in Oncology
bone metastatic CRPC
differentially expressed genes
weighted gene co-expression network analysis
module
hub genes
author_facet Zhongxiang Yu
Hanlin Zou
Huihao Wang
Qi Li
Dong Yu
author_sort Zhongxiang Yu
title Identification of Key Gene Signatures Associated With Bone Metastasis in Castration-Resistant Prostate Cancer Using Co-Expression Analysis
title_short Identification of Key Gene Signatures Associated With Bone Metastasis in Castration-Resistant Prostate Cancer Using Co-Expression Analysis
title_full Identification of Key Gene Signatures Associated With Bone Metastasis in Castration-Resistant Prostate Cancer Using Co-Expression Analysis
title_fullStr Identification of Key Gene Signatures Associated With Bone Metastasis in Castration-Resistant Prostate Cancer Using Co-Expression Analysis
title_full_unstemmed Identification of Key Gene Signatures Associated With Bone Metastasis in Castration-Resistant Prostate Cancer Using Co-Expression Analysis
title_sort identification of key gene signatures associated with bone metastasis in castration-resistant prostate cancer using co-expression analysis
publisher Frontiers Media S.A.
series Frontiers in Oncology
issn 2234-943X
publishDate 2021-02-01
description About 80–90% of castration-resistant prostate cancer (CRPC) patients would develop bone metastasis. However, the molecular mechanisms of bone metastasis are still not clear. This study aimed to detect the differences between the tumor and normal samples in bone after metastatic colonization. Four transcriptional datasets (GSE32269, GSE101607, GSE29650, and GSE74685) were obtained from the GEO database. 1983 differentially expressed genes (DEGs) were first identified between tumor and normal marrow samples in GSE32269. Most of the top 10 up-regulated DEGs are related with prostate cancer, and the top 10 down-regulated DEGs are mainly related with bone development. Seven co-expression modules were then detected based on the 1469 DEGs shared by the four datasets. Three of them were found highly preserved among the four datasets. Enrichment analysis showed that the three modules were respectively enriched in Cell adhesion molecules (CAMs), Leukocyte transendothelial migration and cell cycle, which might play significantly important roles in the tumor development in bone marrow. Ten, 17, and 99 hub genes for each module were then identified. And four genes (C3AR1, IL10RA, LY86, and MS4A6A) were detect to be tightly related to progression of bone metastatic CRPC. ROC curve was plotted and AUC was calculated to distinguish tumor and normal bone marrow samples as well as bone and non-bone metastatic CRPCs. The present study identified key genes and modules involved in bone metastatic CRPCs, which may provide new insights and biomarkers for understanding of the molecular mechanisms of bone metastatic CRPC.
topic bone metastatic CRPC
differentially expressed genes
weighted gene co-expression network analysis
module
hub genes
url https://www.frontiersin.org/articles/10.3389/fonc.2020.571524/full
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