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TP73 is a credible biomarker for predicting clinical progression and prognosis in cervical cancer patients

Tumor protein p73 (TP73) has been reported to be dysregulated in various types of human cancer and associated with clinical progression and outcome. Owing to the lack of reports on the correlation between TP73 protein expression and clinicopathologic features of cervical cancer, the aim of our resea...

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Detalles Bibliográficos
Autores principales: Ye, Hui, Guo, Xia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6682548/
https://www.ncbi.nlm.nih.gov/pubmed/31332036
http://dx.doi.org/10.1042/BSR20190095
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author Ye, Hui
Guo, Xia
author_facet Ye, Hui
Guo, Xia
author_sort Ye, Hui
collection PubMed
description Tumor protein p73 (TP73) has been reported to be dysregulated in various types of human cancer and associated with clinical progression and outcome. Owing to the lack of reports on the correlation between TP73 protein expression and clinicopathologic features of cervical cancer, the aim of our research was to explore the clinical and prognostic significance of TP73 protein expression in cervical cancer patients. In our study, TP73 protein expression was detected by immunochemistry in 118 paraffin-embedded cervical cancer tissue specimens and 40 paraffin-embedded normal cervical epithelium tissue specimens. In the results, we found cervical cancer tissues exhibited high TP73 expression in comparison with normal cervical epithelium tissues, which was consistent with the expression status of TP73 in The Cancer Genome Atlas (TCGA) database. Furthermore, we analyzed the relationships between TP73 expression and clinicopathologic features through using the chi-square test or Fisher’s exact test, and found high expression of TP73 was markedly associated with early clinical stage, less lymph node metastasis, absent distant metastasis, squamous cell carcinoma and favorable histological grade. The Kaplan–Meier method and log-rank test were performed based on the expression level of TP73 in a cervical cancer cohort from the TCGA database, and showed that TP73 expression was positively correlated with overall survival time in cervical cancer patients. Moreover, univariate and multivariate Cox proportional hazards regression model indicated that high TP73 expression was identified as an independent factor for predicting favorable overall survival in cervical cancer patients. In conclusion, TP73 expression is increased in cervical cancer tissues and cells, and acts as a credible biomarker for predicting favorable overall survival in cervical cancer patients.
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spelling pubmed-66825482019-08-23 TP73 is a credible biomarker for predicting clinical progression and prognosis in cervical cancer patients Ye, Hui Guo, Xia Biosci Rep Research Articles Tumor protein p73 (TP73) has been reported to be dysregulated in various types of human cancer and associated with clinical progression and outcome. Owing to the lack of reports on the correlation between TP73 protein expression and clinicopathologic features of cervical cancer, the aim of our research was to explore the clinical and prognostic significance of TP73 protein expression in cervical cancer patients. In our study, TP73 protein expression was detected by immunochemistry in 118 paraffin-embedded cervical cancer tissue specimens and 40 paraffin-embedded normal cervical epithelium tissue specimens. In the results, we found cervical cancer tissues exhibited high TP73 expression in comparison with normal cervical epithelium tissues, which was consistent with the expression status of TP73 in The Cancer Genome Atlas (TCGA) database. Furthermore, we analyzed the relationships between TP73 expression and clinicopathologic features through using the chi-square test or Fisher’s exact test, and found high expression of TP73 was markedly associated with early clinical stage, less lymph node metastasis, absent distant metastasis, squamous cell carcinoma and favorable histological grade. The Kaplan–Meier method and log-rank test were performed based on the expression level of TP73 in a cervical cancer cohort from the TCGA database, and showed that TP73 expression was positively correlated with overall survival time in cervical cancer patients. Moreover, univariate and multivariate Cox proportional hazards regression model indicated that high TP73 expression was identified as an independent factor for predicting favorable overall survival in cervical cancer patients. In conclusion, TP73 expression is increased in cervical cancer tissues and cells, and acts as a credible biomarker for predicting favorable overall survival in cervical cancer patients. Portland Press Ltd. 2019-08-05 /pmc/articles/PMC6682548/ /pubmed/31332036 http://dx.doi.org/10.1042/BSR20190095 Text en © 2019 The Author(s). http://creativecommons.org/licenses/by/4.0/This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY) (http://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Articles
Ye, Hui
Guo, Xia
TP73 is a credible biomarker for predicting clinical progression and prognosis in cervical cancer patients
title TP73 is a credible biomarker for predicting clinical progression and prognosis in cervical cancer patients
title_full TP73 is a credible biomarker for predicting clinical progression and prognosis in cervical cancer patients
title_fullStr TP73 is a credible biomarker for predicting clinical progression and prognosis in cervical cancer patients
title_full_unstemmed TP73 is a credible biomarker for predicting clinical progression and prognosis in cervical cancer patients
title_short TP73 is a credible biomarker for predicting clinical progression and prognosis in cervical cancer patients
title_sort tp73 is a credible biomarker for predicting clinical progression and prognosis in cervical cancer patients
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6682548/
https://www.ncbi.nlm.nih.gov/pubmed/31332036
http://dx.doi.org/10.1042/BSR20190095
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