Identification of Transcriptional Signatures of Colon Tumor Stroma by a Meta-Analysis

Background. The tumor stroma plays pivotal roles in influencing tumor growth, invasion, and metastasis. Transcriptional signatures of colon tumor stroma (CTS) are significantly associated with prognosis of colon cancer. Thus, identification of the CTS transcriptional features could be useful for col...

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Main Authors: Md. Nazim Uddin, Mengyuan Li, Xiaosheng Wang
Format: Article
Language:English
Published: Hindawi Limited 2019-01-01
Series:Journal of Oncology
Online Access:http://dx.doi.org/10.1155/2019/8752862
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spelling doaj-f8058725c9d246749d349c4044fea4ce2020-11-25T02:13:37ZengHindawi LimitedJournal of Oncology1687-84501687-84692019-01-01201910.1155/2019/87528628752862Identification of Transcriptional Signatures of Colon Tumor Stroma by a Meta-AnalysisMd. Nazim Uddin0Mengyuan Li1Xiaosheng Wang2Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, ChinaBiomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, ChinaBiomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 211198, ChinaBackground. The tumor stroma plays pivotal roles in influencing tumor growth, invasion, and metastasis. Transcriptional signatures of colon tumor stroma (CTS) are significantly associated with prognosis of colon cancer. Thus, identification of the CTS transcriptional features could be useful for colon cancer diagnosis and therapy. Methods. By a meta-analysis of three CTS gene expression profiles datasets, we identified differentially expressed genes (DEGs) between CTS and colon normal stroma. Furthermore, we identified the pathways, upstream regulators, and protein-protein interaction (PPI) network that were significantly associated with the DEGs. Moreover, we analyzed the enrichment levels of immune signatures in CTS. Finally, we identified CTS-associated gene signatures whose expression was significantly associated with prognosis in colon cancer. Results. We identified numerous significantly upregulated genes (such as CTHRC1, NFE2L3, SULF1, SOX9, ENC1, and CCND1) and significantly downregulated genes (such as MYOT, ASPA, KIAA2022, ARHGEF37, BCL-2, and PPARGC1A) in CTS versus colon normal stroma. Furthermore, we identified significantly upregulated pathways in CTS that were mainly involved in cellular development, immune regulation, and metabolism, as well as significantly downregulated pathways in CTS that were mostly metabolism-related. Moreover, we identified upstream TFs (such as SUZ12, NFE2L2, RUNX1, STAT3, and SOX2), kinases (such as MAPK14, CSNK2A1, CDK1, CDK2, and CDK4), and master metabolic transcriptional regulators (MMTRs) (such as HNF1A, NFKB1, ZBTB7A, GATA2, and GATA5) regulating the DEGs. We found that CD8+ T cells were more enriched in CTS than in colon normal stroma. Interestingly, we found that many of the DEGs and their regulators were prognostic markers for colon cancer, including CEBPB, PPARGC1, STAT3, MTOR, BCL2, JAK2, and CDK1. Conclusions. The identification of CTS-specific transcriptional signatures may provide insights into the tumor microenvironment that mediates the development of colon cancer and has potential clinical implications for colon cancer diagnosis and treatment.http://dx.doi.org/10.1155/2019/8752862
collection DOAJ
language English
format Article
sources DOAJ
author Md. Nazim Uddin
Mengyuan Li
Xiaosheng Wang
spellingShingle Md. Nazim Uddin
Mengyuan Li
Xiaosheng Wang
Identification of Transcriptional Signatures of Colon Tumor Stroma by a Meta-Analysis
Journal of Oncology
author_facet Md. Nazim Uddin
Mengyuan Li
Xiaosheng Wang
author_sort Md. Nazim Uddin
title Identification of Transcriptional Signatures of Colon Tumor Stroma by a Meta-Analysis
title_short Identification of Transcriptional Signatures of Colon Tumor Stroma by a Meta-Analysis
title_full Identification of Transcriptional Signatures of Colon Tumor Stroma by a Meta-Analysis
title_fullStr Identification of Transcriptional Signatures of Colon Tumor Stroma by a Meta-Analysis
title_full_unstemmed Identification of Transcriptional Signatures of Colon Tumor Stroma by a Meta-Analysis
title_sort identification of transcriptional signatures of colon tumor stroma by a meta-analysis
publisher Hindawi Limited
series Journal of Oncology
issn 1687-8450
1687-8469
publishDate 2019-01-01
description Background. The tumor stroma plays pivotal roles in influencing tumor growth, invasion, and metastasis. Transcriptional signatures of colon tumor stroma (CTS) are significantly associated with prognosis of colon cancer. Thus, identification of the CTS transcriptional features could be useful for colon cancer diagnosis and therapy. Methods. By a meta-analysis of three CTS gene expression profiles datasets, we identified differentially expressed genes (DEGs) between CTS and colon normal stroma. Furthermore, we identified the pathways, upstream regulators, and protein-protein interaction (PPI) network that were significantly associated with the DEGs. Moreover, we analyzed the enrichment levels of immune signatures in CTS. Finally, we identified CTS-associated gene signatures whose expression was significantly associated with prognosis in colon cancer. Results. We identified numerous significantly upregulated genes (such as CTHRC1, NFE2L3, SULF1, SOX9, ENC1, and CCND1) and significantly downregulated genes (such as MYOT, ASPA, KIAA2022, ARHGEF37, BCL-2, and PPARGC1A) in CTS versus colon normal stroma. Furthermore, we identified significantly upregulated pathways in CTS that were mainly involved in cellular development, immune regulation, and metabolism, as well as significantly downregulated pathways in CTS that were mostly metabolism-related. Moreover, we identified upstream TFs (such as SUZ12, NFE2L2, RUNX1, STAT3, and SOX2), kinases (such as MAPK14, CSNK2A1, CDK1, CDK2, and CDK4), and master metabolic transcriptional regulators (MMTRs) (such as HNF1A, NFKB1, ZBTB7A, GATA2, and GATA5) regulating the DEGs. We found that CD8+ T cells were more enriched in CTS than in colon normal stroma. Interestingly, we found that many of the DEGs and their regulators were prognostic markers for colon cancer, including CEBPB, PPARGC1, STAT3, MTOR, BCL2, JAK2, and CDK1. Conclusions. The identification of CTS-specific transcriptional signatures may provide insights into the tumor microenvironment that mediates the development of colon cancer and has potential clinical implications for colon cancer diagnosis and treatment.
url http://dx.doi.org/10.1155/2019/8752862
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