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A novel three-microRNA signature for predicting survival in patients with nasopharyngeal carcinoma

BACKGROUND/PURPOSE: Nasopharyngeal carcinoma (NPC) is a malignant neoplasm of the head and neck. This study aims to use integrated bioinformatics technologies to develop a predictive miRNA-signature correlated with the prognosis of NPC. MATERIALS AND METHODS: Initially, the differentially expressed...

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Autores principales: Zhang, Shan-Qiang, Liu, Jun, Chen, Hai-Bin, Dai, Wen-Jie, Zhou, Li-Qing, Xie, Chong-Wei, Li, Ji-Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Association for Dental Sciences of the Republic of China 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740092/
https://www.ncbi.nlm.nih.gov/pubmed/35028061
http://dx.doi.org/10.1016/j.jds.2021.08.017
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author Zhang, Shan-Qiang
Liu, Jun
Chen, Hai-Bin
Dai, Wen-Jie
Zhou, Li-Qing
Xie, Chong-Wei
Li, Ji-Cheng
author_facet Zhang, Shan-Qiang
Liu, Jun
Chen, Hai-Bin
Dai, Wen-Jie
Zhou, Li-Qing
Xie, Chong-Wei
Li, Ji-Cheng
author_sort Zhang, Shan-Qiang
collection PubMed
description BACKGROUND/PURPOSE: Nasopharyngeal carcinoma (NPC) is a malignant neoplasm of the head and neck. This study aims to use integrated bioinformatics technologies to develop a predictive miRNA-signature correlated with the prognosis of NPC. MATERIALS AND METHODS: Initially, the differentially expressed miRNAs (DEMs) in NPC were identified, and then DEMs related to the prognosis of NPC were further screened. Subsequently, the relatively important DEMs identified by random forest algorithm were used to construct a predictive signature by multivariate COX regression analysis. Moreover, PCA, Kaplan–Meier analysis, time-dependent ROC analysis, and univariate and multivariate COX regression analysis were performed to evaluate the ability of the signature in risk identification and prognosis prediction in NPC. RESULTS: Hsa-miR-29c, hsa-miR-30e and hsa-miR-93 were selected from DEMs to construct a signature, and their abnormal expression was significantly associated with poor prognosis of NPC. The average AUC values of 1- to 5-year OS, DFS and DMFS predicted by the signature were all above 0.7, and showed better clinical independence than other indexes. In addition, 295 differentially expressed mRNAs could be used as potential target genes of the 3 DEMs. Among them, 56 differentially expressed mRNAs were related to PFS. GO and KEGG enrichment analysis indicated that the poor prognosis of NPC was related to the abnormality of chromosomes, cytokines, and chemokines. CONCLUSION: We constructed a three-miRNA signature with good independent performance in predicting the prognosis for NPC. This study may lay the foundation for exploring new therapeutic targets and improving survival outcomes in NPC patients.
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spelling pubmed-87400922022-01-12 A novel three-microRNA signature for predicting survival in patients with nasopharyngeal carcinoma Zhang, Shan-Qiang Liu, Jun Chen, Hai-Bin Dai, Wen-Jie Zhou, Li-Qing Xie, Chong-Wei Li, Ji-Cheng J Dent Sci Original Article BACKGROUND/PURPOSE: Nasopharyngeal carcinoma (NPC) is a malignant neoplasm of the head and neck. This study aims to use integrated bioinformatics technologies to develop a predictive miRNA-signature correlated with the prognosis of NPC. MATERIALS AND METHODS: Initially, the differentially expressed miRNAs (DEMs) in NPC were identified, and then DEMs related to the prognosis of NPC were further screened. Subsequently, the relatively important DEMs identified by random forest algorithm were used to construct a predictive signature by multivariate COX regression analysis. Moreover, PCA, Kaplan–Meier analysis, time-dependent ROC analysis, and univariate and multivariate COX regression analysis were performed to evaluate the ability of the signature in risk identification and prognosis prediction in NPC. RESULTS: Hsa-miR-29c, hsa-miR-30e and hsa-miR-93 were selected from DEMs to construct a signature, and their abnormal expression was significantly associated with poor prognosis of NPC. The average AUC values of 1- to 5-year OS, DFS and DMFS predicted by the signature were all above 0.7, and showed better clinical independence than other indexes. In addition, 295 differentially expressed mRNAs could be used as potential target genes of the 3 DEMs. Among them, 56 differentially expressed mRNAs were related to PFS. GO and KEGG enrichment analysis indicated that the poor prognosis of NPC was related to the abnormality of chromosomes, cytokines, and chemokines. CONCLUSION: We constructed a three-miRNA signature with good independent performance in predicting the prognosis for NPC. This study may lay the foundation for exploring new therapeutic targets and improving survival outcomes in NPC patients. Association for Dental Sciences of the Republic of China 2022-01 2021-09-08 /pmc/articles/PMC8740092/ /pubmed/35028061 http://dx.doi.org/10.1016/j.jds.2021.08.017 Text en © 2021 Association for Dental Sciences of the Republic of China. Publishing services by Elsevier B.V. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Zhang, Shan-Qiang
Liu, Jun
Chen, Hai-Bin
Dai, Wen-Jie
Zhou, Li-Qing
Xie, Chong-Wei
Li, Ji-Cheng
A novel three-microRNA signature for predicting survival in patients with nasopharyngeal carcinoma
title A novel three-microRNA signature for predicting survival in patients with nasopharyngeal carcinoma
title_full A novel three-microRNA signature for predicting survival in patients with nasopharyngeal carcinoma
title_fullStr A novel three-microRNA signature for predicting survival in patients with nasopharyngeal carcinoma
title_full_unstemmed A novel three-microRNA signature for predicting survival in patients with nasopharyngeal carcinoma
title_short A novel three-microRNA signature for predicting survival in patients with nasopharyngeal carcinoma
title_sort novel three-microrna signature for predicting survival in patients with nasopharyngeal carcinoma
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740092/
https://www.ncbi.nlm.nih.gov/pubmed/35028061
http://dx.doi.org/10.1016/j.jds.2021.08.017
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