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Identification of ZG16B as a prognostic biomarker in breast cancer

Zymogen granule protein 16B (ZG16B) has been identified in various cancers, while so far the association between ZG16B and breast cancer hasn’t been explored. Our aim is to confirm whether it can serve as a prognostic biomarker in breast cancer. In this study, Oncomine, Cancer Cell Line Encyclopedia...

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Detalles Bibliográficos
Autores principales: Lu, Haotian, Shi, Chunying, Liu, Xinyu, Liang, Chen, Yang, Chaochao, Wan, Xueqi, Li, Ling, Liu, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: De Gruyter 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718615/
https://www.ncbi.nlm.nih.gov/pubmed/33336077
http://dx.doi.org/10.1515/med-2021-0004
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author Lu, Haotian
Shi, Chunying
Liu, Xinyu
Liang, Chen
Yang, Chaochao
Wan, Xueqi
Li, Ling
Liu, Ying
author_facet Lu, Haotian
Shi, Chunying
Liu, Xinyu
Liang, Chen
Yang, Chaochao
Wan, Xueqi
Li, Ling
Liu, Ying
author_sort Lu, Haotian
collection PubMed
description Zymogen granule protein 16B (ZG16B) has been identified in various cancers, while so far the association between ZG16B and breast cancer hasn’t been explored. Our aim is to confirm whether it can serve as a prognostic biomarker in breast cancer. In this study, Oncomine, Cancer Cell Line Encyclopedia (CCLE), Ualcan, and STRING database analyses were conducted to detect the expression level of ZG16B in breast cancer with different types. Kaplan–Meier plotter was used to analyze the prognosis of patients with high or low expression of ZG16B. We found that ZG16B was significantly upregulated in breast cancer. Moreover, ZG16B was closely associated with foregone biomarkers and crucial factors in breast cancer. In the survival analysis, high expression of ZG16B represents a favorable prognosis in patients. Our work demonstrates the latent capacity of ZG16B to be a biomarker for prognosis of breast cancer.
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spelling pubmed-77186152020-12-16 Identification of ZG16B as a prognostic biomarker in breast cancer Lu, Haotian Shi, Chunying Liu, Xinyu Liang, Chen Yang, Chaochao Wan, Xueqi Li, Ling Liu, Ying Open Med (Wars) Research Article Zymogen granule protein 16B (ZG16B) has been identified in various cancers, while so far the association between ZG16B and breast cancer hasn’t been explored. Our aim is to confirm whether it can serve as a prognostic biomarker in breast cancer. In this study, Oncomine, Cancer Cell Line Encyclopedia (CCLE), Ualcan, and STRING database analyses were conducted to detect the expression level of ZG16B in breast cancer with different types. Kaplan–Meier plotter was used to analyze the prognosis of patients with high or low expression of ZG16B. We found that ZG16B was significantly upregulated in breast cancer. Moreover, ZG16B was closely associated with foregone biomarkers and crucial factors in breast cancer. In the survival analysis, high expression of ZG16B represents a favorable prognosis in patients. Our work demonstrates the latent capacity of ZG16B to be a biomarker for prognosis of breast cancer. De Gruyter 2020-11-25 /pmc/articles/PMC7718615/ /pubmed/33336077 http://dx.doi.org/10.1515/med-2021-0004 Text en © 2021 Haotian Lu et al., published by De Gruyter http://creativecommons.org/licenses/by/4.0 This work is licensed under the Creative Commons Attribution 4.0 International License.
spellingShingle Research Article
Lu, Haotian
Shi, Chunying
Liu, Xinyu
Liang, Chen
Yang, Chaochao
Wan, Xueqi
Li, Ling
Liu, Ying
Identification of ZG16B as a prognostic biomarker in breast cancer
title Identification of ZG16B as a prognostic biomarker in breast cancer
title_full Identification of ZG16B as a prognostic biomarker in breast cancer
title_fullStr Identification of ZG16B as a prognostic biomarker in breast cancer
title_full_unstemmed Identification of ZG16B as a prognostic biomarker in breast cancer
title_short Identification of ZG16B as a prognostic biomarker in breast cancer
title_sort identification of zg16b as a prognostic biomarker in breast cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718615/
https://www.ncbi.nlm.nih.gov/pubmed/33336077
http://dx.doi.org/10.1515/med-2021-0004
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