Identification of prognostic biomarkers related to the tumor microenvironment in thyroid carcinoma

Abstract Thyroid Carcinoma (THCA) is the most common endocrine tumor that is mainly treated using surgery and radiotherapy. In addition, immunotherapy is a recently developed treatment option that has played an essential role in the management of several types of tumors. However, few reports exist o...

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Main Authors: Jun-wei Du, Guo-quan Li, Yang-sen Li, Xin-guang Qiu
Format: Article
Language:English
Published: Nature Publishing Group 2021-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-90538-3
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spelling doaj-ef0a8cd04d844a71986dcab06bdf3c582021-08-15T11:24:29ZengNature Publishing GroupScientific Reports2045-23222021-08-0111111510.1038/s41598-021-90538-3Identification of prognostic biomarkers related to the tumor microenvironment in thyroid carcinomaJun-wei Du0Guo-quan Li1Yang-sen Li2Xin-guang Qiu3Department of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou UniversityDepartment of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou UniversityDepartment of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou UniversityDepartment of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou UniversityAbstract Thyroid Carcinoma (THCA) is the most common endocrine tumor that is mainly treated using surgery and radiotherapy. In addition, immunotherapy is a recently developed treatment option that has played an essential role in the management of several types of tumors. However, few reports exist on the use of immunotherapy to treat THCA. The study downloaded the miRNA, mRNA and lncRNA data for THCA patients from the TCGA database ( https://portal.gdc.cancer.gov/ ). Thereafter, the tumor samples were divided into cold and hot tumors, based on the immune score of the tumor microenvironment. Moreover, the differentially expressed lncRNAs and miRNAs were obtained. Finally, the study jointly constructed a ceRNA network through differential analysis of the mRNA data for cold and hot tumors. The study first assessed the level of immune infiltration in the THCA tumor microenvironment then divided the samples into cold and hot tumors, based on the immune score. Additionally, a total of 568 up-regulated and 412 down-regulated DEGs were screened by analyzing the differences between hot and cold tumors. Thereafter, the study examined the differentially expressed genes for lncRNA and miRNA. The results revealed 629 differentially expressed genes related to lncRNA and 114 associated with miRNA. Finally, a ceRNA network of the differentially expressed genes was constructed. The results showed a five-miRNA hubnet, i.e., hsa-mir-204, hsa-mir-128, hsa-mir-214, hsa-mir-150 and hsa-mir-338. The present study identified the immune-related mRNA, lncRNA and miRNA in THCA then constructed a ceRNA network. These results are therefore important as they provide more insights on the immune mechanisms in THCA. The findings also provides additional information for possible THCA immunotherapy.https://doi.org/10.1038/s41598-021-90538-3
collection DOAJ
language English
format Article
sources DOAJ
author Jun-wei Du
Guo-quan Li
Yang-sen Li
Xin-guang Qiu
spellingShingle Jun-wei Du
Guo-quan Li
Yang-sen Li
Xin-guang Qiu
Identification of prognostic biomarkers related to the tumor microenvironment in thyroid carcinoma
Scientific Reports
author_facet Jun-wei Du
Guo-quan Li
Yang-sen Li
Xin-guang Qiu
author_sort Jun-wei Du
title Identification of prognostic biomarkers related to the tumor microenvironment in thyroid carcinoma
title_short Identification of prognostic biomarkers related to the tumor microenvironment in thyroid carcinoma
title_full Identification of prognostic biomarkers related to the tumor microenvironment in thyroid carcinoma
title_fullStr Identification of prognostic biomarkers related to the tumor microenvironment in thyroid carcinoma
title_full_unstemmed Identification of prognostic biomarkers related to the tumor microenvironment in thyroid carcinoma
title_sort identification of prognostic biomarkers related to the tumor microenvironment in thyroid carcinoma
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2021-08-01
description Abstract Thyroid Carcinoma (THCA) is the most common endocrine tumor that is mainly treated using surgery and radiotherapy. In addition, immunotherapy is a recently developed treatment option that has played an essential role in the management of several types of tumors. However, few reports exist on the use of immunotherapy to treat THCA. The study downloaded the miRNA, mRNA and lncRNA data for THCA patients from the TCGA database ( https://portal.gdc.cancer.gov/ ). Thereafter, the tumor samples were divided into cold and hot tumors, based on the immune score of the tumor microenvironment. Moreover, the differentially expressed lncRNAs and miRNAs were obtained. Finally, the study jointly constructed a ceRNA network through differential analysis of the mRNA data for cold and hot tumors. The study first assessed the level of immune infiltration in the THCA tumor microenvironment then divided the samples into cold and hot tumors, based on the immune score. Additionally, a total of 568 up-regulated and 412 down-regulated DEGs were screened by analyzing the differences between hot and cold tumors. Thereafter, the study examined the differentially expressed genes for lncRNA and miRNA. The results revealed 629 differentially expressed genes related to lncRNA and 114 associated with miRNA. Finally, a ceRNA network of the differentially expressed genes was constructed. The results showed a five-miRNA hubnet, i.e., hsa-mir-204, hsa-mir-128, hsa-mir-214, hsa-mir-150 and hsa-mir-338. The present study identified the immune-related mRNA, lncRNA and miRNA in THCA then constructed a ceRNA network. These results are therefore important as they provide more insights on the immune mechanisms in THCA. The findings also provides additional information for possible THCA immunotherapy.
url https://doi.org/10.1038/s41598-021-90538-3
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AT guoquanli identificationofprognosticbiomarkersrelatedtothetumormicroenvironmentinthyroidcarcinoma
AT yangsenli identificationofprognosticbiomarkersrelatedtothetumormicroenvironmentinthyroidcarcinoma
AT xinguangqiu identificationofprognosticbiomarkersrelatedtothetumormicroenvironmentinthyroidcarcinoma
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