Identification and validation of a miRNA-based prognostic signature for cervical cancer through an integrated bioinformatics approach

Abstract Cervical cancer is the fourth most common cancer in women worldwide. Increasing evidence has shown that miRNAs are related to the progression of cervical cancer. However, the mechanisms that affect the prognosis of cancer are still largely unknown. In the present study, we sought to identif...

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Autores principales:	Yumei Qi, Yo-Liang Lai, Pei-Chun Shen, Fang-Hsin Chen, Li-Jie Lin, Heng-Hsiung Wu, Pei-Hua Peng, Kai-Wen Hsu, Wei-Chung Cheng
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/12a635dbd4f94295b89f26b127f24e09
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spelling	oai:doaj.org-article:12a635dbd4f94295b89f26b127f24e092021-12-02T13:58:10ZIdentification and validation of a miRNA-based prognostic signature for cervical cancer through an integrated bioinformatics approach10.1038/s41598-020-79337-42045-2322https://doaj.org/article/12a635dbd4f94295b89f26b127f24e092020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-79337-4https://doaj.org/toc/2045-2322Abstract Cervical cancer is the fourth most common cancer in women worldwide. Increasing evidence has shown that miRNAs are related to the progression of cervical cancer. However, the mechanisms that affect the prognosis of cancer are still largely unknown. In the present study, we sought to identify miRNAs associated with poor prognosis of patient with cervical cancer, as well as the possible mechanisms regulated by them. The miRNA expression profiles and relevant clinical information of patients with cervical cancer were obtained from The Cancer Genome Atlas (TCGA). The selection of prognostic miRNAs was carried out through an integrated bioinformatics approach. The most effective miRNAs with synergistic and additive effects were selected for validation through in vitro experiments. Three miRNAs (miR-216b-5p, miR-585-5p, and miR-7641) were identified as exhibiting good performance in predicting poor prognosis through additive effects analysis. The functional enrichment analysis suggested that not only pathways traditionally involved in cancer but also immune system pathways might be important in regulating the outcome of the disease. Our findings demonstrated that a synergistic combination of three miRNAs may be associated, through their regulation of specific pathways, with very poor survival rates for patients with cervical cancer.Yumei QiYo-Liang LaiPei-Chun ShenFang-Hsin ChenLi-Jie LinHeng-Hsiung WuPei-Hua PengKai-Wen HsuWei-Chung ChengNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-9 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yumei Qi Yo-Liang Lai Pei-Chun Shen Fang-Hsin Chen Li-Jie Lin Heng-Hsiung Wu Pei-Hua Peng Kai-Wen Hsu Wei-Chung Cheng Identification and validation of a miRNA-based prognostic signature for cervical cancer through an integrated bioinformatics approach
description	Abstract Cervical cancer is the fourth most common cancer in women worldwide. Increasing evidence has shown that miRNAs are related to the progression of cervical cancer. However, the mechanisms that affect the prognosis of cancer are still largely unknown. In the present study, we sought to identify miRNAs associated with poor prognosis of patient with cervical cancer, as well as the possible mechanisms regulated by them. The miRNA expression profiles and relevant clinical information of patients with cervical cancer were obtained from The Cancer Genome Atlas (TCGA). The selection of prognostic miRNAs was carried out through an integrated bioinformatics approach. The most effective miRNAs with synergistic and additive effects were selected for validation through in vitro experiments. Three miRNAs (miR-216b-5p, miR-585-5p, and miR-7641) were identified as exhibiting good performance in predicting poor prognosis through additive effects analysis. The functional enrichment analysis suggested that not only pathways traditionally involved in cancer but also immune system pathways might be important in regulating the outcome of the disease. Our findings demonstrated that a synergistic combination of three miRNAs may be associated, through their regulation of specific pathways, with very poor survival rates for patients with cervical cancer.
format	article
author	Yumei Qi Yo-Liang Lai Pei-Chun Shen Fang-Hsin Chen Li-Jie Lin Heng-Hsiung Wu Pei-Hua Peng Kai-Wen Hsu Wei-Chung Cheng
author_facet	Yumei Qi Yo-Liang Lai Pei-Chun Shen Fang-Hsin Chen Li-Jie Lin Heng-Hsiung Wu Pei-Hua Peng Kai-Wen Hsu Wei-Chung Cheng
author_sort	Yumei Qi
title	Identification and validation of a miRNA-based prognostic signature for cervical cancer through an integrated bioinformatics approach
title_short	Identification and validation of a miRNA-based prognostic signature for cervical cancer through an integrated bioinformatics approach
title_full	Identification and validation of a miRNA-based prognostic signature for cervical cancer through an integrated bioinformatics approach
title_fullStr	Identification and validation of a miRNA-based prognostic signature for cervical cancer through an integrated bioinformatics approach
title_full_unstemmed	Identification and validation of a miRNA-based prognostic signature for cervical cancer through an integrated bioinformatics approach
title_sort	identification and validation of a mirna-based prognostic signature for cervical cancer through an integrated bioinformatics approach
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/12a635dbd4f94295b89f26b127f24e09
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Identification and validation of a miRNA-based prognostic signature for cervical cancer through an integrated bioinformatics approach

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