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Systematic profiling of alternative splicing signature reveals prognostic predictor for cervical cancer

AIM: Cervical cancer is a common malignant carcinoma of the gynecological tract with high morbidity and mortality. Therefore, it is crucial to elucidate the pathogenesis, prevention, diagnosis and prognosis of cervical cancer by searching for the involved key genes. METHOD: In this study, the altern...

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Autores principales: Hu, Yue-Xin, Zheng, Ming-Jun, Zhang, Wen-Chao, Li, Xiao, Gou, Rui, Nie, Xin, Liu, Qing, Hao, Ying-Ying, Liu, Juan-Juan, Lin, Bei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6865056/
https://www.ncbi.nlm.nih.gov/pubmed/31744495
http://dx.doi.org/10.1186/s12967-019-02140-x
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author Hu, Yue-Xin
Zheng, Ming-Jun
Zhang, Wen-Chao
Li, Xiao
Gou, Rui
Nie, Xin
Liu, Qing
Hao, Ying-Ying
Liu, Juan-Juan
Lin, Bei
author_facet Hu, Yue-Xin
Zheng, Ming-Jun
Zhang, Wen-Chao
Li, Xiao
Gou, Rui
Nie, Xin
Liu, Qing
Hao, Ying-Ying
Liu, Juan-Juan
Lin, Bei
author_sort Hu, Yue-Xin
collection PubMed
description AIM: Cervical cancer is a common malignant carcinoma of the gynecological tract with high morbidity and mortality. Therefore, it is crucial to elucidate the pathogenesis, prevention, diagnosis and prognosis of cervical cancer by searching for the involved key genes. METHOD: In this study, the alternative splicing (AS) events of 253 patients with cervical cancer were analyzed, and 41,766 AS events were detected in 9961 genes. Univariate analysis was performed to screen prognostic AS events. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis was used to identify the pathways in which these AS events were involved. RESULTS: We found that exon skip (ES) is the main AS event in patients with cervical cancer. There was pronounced consistency between the genes involved in overall survival and those involved in recurrence. At the same time, we found that a gene may exhibit several different types of AS events, and these different AS events may be related to prognosis. Four characteristic genes, HSPA14, SDHAF2, CAMKK2 and TM9SF1, that can be used as prognostic markers for cervical cancer were selected. Conclusion: The importance of AS events in the development of cervical cancer and prediction of prognosis was revealed by a large amount of data at the whole genome level, which may provide a potential target for cervical cancer treatment. We also provide a new method for exploring the pathogenesis of cervical cancer to determine clinical treatment and prognosis more accurately.
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spelling pubmed-68650562019-12-12 Systematic profiling of alternative splicing signature reveals prognostic predictor for cervical cancer Hu, Yue-Xin Zheng, Ming-Jun Zhang, Wen-Chao Li, Xiao Gou, Rui Nie, Xin Liu, Qing Hao, Ying-Ying Liu, Juan-Juan Lin, Bei J Transl Med Research AIM: Cervical cancer is a common malignant carcinoma of the gynecological tract with high morbidity and mortality. Therefore, it is crucial to elucidate the pathogenesis, prevention, diagnosis and prognosis of cervical cancer by searching for the involved key genes. METHOD: In this study, the alternative splicing (AS) events of 253 patients with cervical cancer were analyzed, and 41,766 AS events were detected in 9961 genes. Univariate analysis was performed to screen prognostic AS events. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis was used to identify the pathways in which these AS events were involved. RESULTS: We found that exon skip (ES) is the main AS event in patients with cervical cancer. There was pronounced consistency between the genes involved in overall survival and those involved in recurrence. At the same time, we found that a gene may exhibit several different types of AS events, and these different AS events may be related to prognosis. Four characteristic genes, HSPA14, SDHAF2, CAMKK2 and TM9SF1, that can be used as prognostic markers for cervical cancer were selected. Conclusion: The importance of AS events in the development of cervical cancer and prediction of prognosis was revealed by a large amount of data at the whole genome level, which may provide a potential target for cervical cancer treatment. We also provide a new method for exploring the pathogenesis of cervical cancer to determine clinical treatment and prognosis more accurately. BioMed Central 2019-11-19 /pmc/articles/PMC6865056/ /pubmed/31744495 http://dx.doi.org/10.1186/s12967-019-02140-x Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Hu, Yue-Xin
Zheng, Ming-Jun
Zhang, Wen-Chao
Li, Xiao
Gou, Rui
Nie, Xin
Liu, Qing
Hao, Ying-Ying
Liu, Juan-Juan
Lin, Bei
Systematic profiling of alternative splicing signature reveals prognostic predictor for cervical cancer
title Systematic profiling of alternative splicing signature reveals prognostic predictor for cervical cancer
title_full Systematic profiling of alternative splicing signature reveals prognostic predictor for cervical cancer
title_fullStr Systematic profiling of alternative splicing signature reveals prognostic predictor for cervical cancer
title_full_unstemmed Systematic profiling of alternative splicing signature reveals prognostic predictor for cervical cancer
title_short Systematic profiling of alternative splicing signature reveals prognostic predictor for cervical cancer
title_sort systematic profiling of alternative splicing signature reveals prognostic predictor for cervical cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6865056/
https://www.ncbi.nlm.nih.gov/pubmed/31744495
http://dx.doi.org/10.1186/s12967-019-02140-x
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