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Downregulated ZNF132 predicts unfavorable outcomes in breast Cancer via Hypermethylation modification

BACKGROUND: An important mechanism that promoter methylation-mediated gene silencing for gene inactivation is identified in human tumorigenesis. Methylated genes have been found in breast cancer (BC) and beneficial biomarkers for early diagnosis. Prognostic assessment of breast cancer remain little...

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Autores principales: Liu, Zhao, Liu, Jiaxin, Liu, Ruimiao, Xue, Man, Zhang, Weifan, Zhao, Xinhui, Zhu, Jiang, Xia, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8028803/
https://www.ncbi.nlm.nih.gov/pubmed/33827486
http://dx.doi.org/10.1186/s12885-021-08112-z
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author Liu, Zhao
Liu, Jiaxin
Liu, Ruimiao
Xue, Man
Zhang, Weifan
Zhao, Xinhui
Zhu, Jiang
Xia, Peng
author_facet Liu, Zhao
Liu, Jiaxin
Liu, Ruimiao
Xue, Man
Zhang, Weifan
Zhao, Xinhui
Zhu, Jiang
Xia, Peng
author_sort Liu, Zhao
collection PubMed
description BACKGROUND: An important mechanism that promoter methylation-mediated gene silencing for gene inactivation is identified in human tumorigenesis. Methylated genes have been found in breast cancer (BC) and beneficial biomarkers for early diagnosis. Prognostic assessment of breast cancer remain little known. Zinc finger protein 132 (ZNF132) is downregulated by promoter methylation in prostate cancer and esophageal squamous cell carcinoma. However, no study provides information on the status of ZNF132, analyzes diagnosis and prognostic significance of ZNF132 in BC. METHODS: In the present study, the expression of ZNF132 mRNA and protein level was determined based on the Cancer Genome Atlas (TCGA) RNA-Seq database and clinical samples analysis and multiple cancer cell lines verification. P rognostic significance of ZNF132 in BC was assessed using the Kaplan-Meier plotter. Molecular mechanisms exploration of ZNF132 in BC was performed using the multiple bioinformatic tools. Hypermethylated status of ZNF132 in BC cell lines was confirmed via Methylation specific polymerase chain reaction (MSP) analysis. RESULTS: The expression of ZNF132 both the mRNA and protein levels was downregulated in BC tissues. These results were obtained based on TCGA database and clinical sample analysis. Survival analysis from the Kaplan-Meier plotter revealed that the lower level of ZNF132 was associated with a shorter Relapse Free Survival (RFS) time. Receiver operating characteristic curve (ROC) of 0.887 confirmed ZNF132 had powerful sensitivity and specificity to distinguish between BC and adjacent normal tissues. Bioinformatic analysis showed that 6% ((58/960)) alterations of ZNF132 were identified from cBioPortal. ZNF132 participated in multiple biological pathways based on the Gene Set Enrichment Analysis (GSEA) database including the regulation of cell cycle and glycolysis. Finally, MSP analysis demonstrated that ZNF132 was hypermethylated in a panel of breast cancer cell lines and 5-aza-2′-deoxycytidine (5-Aza-dC) treatment restored ZNF132 expression in partial cell lines. CONCLUSIONS: Results revealed that hypermethylation of ZNF132 contributed to its downregulated expression and could be identified as a new diagnostic and prognostic marker in BC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-08112-z.
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spelling pubmed-80288032021-04-09 Downregulated ZNF132 predicts unfavorable outcomes in breast Cancer via Hypermethylation modification Liu, Zhao Liu, Jiaxin Liu, Ruimiao Xue, Man Zhang, Weifan Zhao, Xinhui Zhu, Jiang Xia, Peng BMC Cancer Research Article BACKGROUND: An important mechanism that promoter methylation-mediated gene silencing for gene inactivation is identified in human tumorigenesis. Methylated genes have been found in breast cancer (BC) and beneficial biomarkers for early diagnosis. Prognostic assessment of breast cancer remain little known. Zinc finger protein 132 (ZNF132) is downregulated by promoter methylation in prostate cancer and esophageal squamous cell carcinoma. However, no study provides information on the status of ZNF132, analyzes diagnosis and prognostic significance of ZNF132 in BC. METHODS: In the present study, the expression of ZNF132 mRNA and protein level was determined based on the Cancer Genome Atlas (TCGA) RNA-Seq database and clinical samples analysis and multiple cancer cell lines verification. P rognostic significance of ZNF132 in BC was assessed using the Kaplan-Meier plotter. Molecular mechanisms exploration of ZNF132 in BC was performed using the multiple bioinformatic tools. Hypermethylated status of ZNF132 in BC cell lines was confirmed via Methylation specific polymerase chain reaction (MSP) analysis. RESULTS: The expression of ZNF132 both the mRNA and protein levels was downregulated in BC tissues. These results were obtained based on TCGA database and clinical sample analysis. Survival analysis from the Kaplan-Meier plotter revealed that the lower level of ZNF132 was associated with a shorter Relapse Free Survival (RFS) time. Receiver operating characteristic curve (ROC) of 0.887 confirmed ZNF132 had powerful sensitivity and specificity to distinguish between BC and adjacent normal tissues. Bioinformatic analysis showed that 6% ((58/960)) alterations of ZNF132 were identified from cBioPortal. ZNF132 participated in multiple biological pathways based on the Gene Set Enrichment Analysis (GSEA) database including the regulation of cell cycle and glycolysis. Finally, MSP analysis demonstrated that ZNF132 was hypermethylated in a panel of breast cancer cell lines and 5-aza-2′-deoxycytidine (5-Aza-dC) treatment restored ZNF132 expression in partial cell lines. CONCLUSIONS: Results revealed that hypermethylation of ZNF132 contributed to its downregulated expression and could be identified as a new diagnostic and prognostic marker in BC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-08112-z. BioMed Central 2021-04-07 /pmc/articles/PMC8028803/ /pubmed/33827486 http://dx.doi.org/10.1186/s12885-021-08112-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Liu, Zhao
Liu, Jiaxin
Liu, Ruimiao
Xue, Man
Zhang, Weifan
Zhao, Xinhui
Zhu, Jiang
Xia, Peng
Downregulated ZNF132 predicts unfavorable outcomes in breast Cancer via Hypermethylation modification
title Downregulated ZNF132 predicts unfavorable outcomes in breast Cancer via Hypermethylation modification
title_full Downregulated ZNF132 predicts unfavorable outcomes in breast Cancer via Hypermethylation modification
title_fullStr Downregulated ZNF132 predicts unfavorable outcomes in breast Cancer via Hypermethylation modification
title_full_unstemmed Downregulated ZNF132 predicts unfavorable outcomes in breast Cancer via Hypermethylation modification
title_short Downregulated ZNF132 predicts unfavorable outcomes in breast Cancer via Hypermethylation modification
title_sort downregulated znf132 predicts unfavorable outcomes in breast cancer via hypermethylation modification
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8028803/
https://www.ncbi.nlm.nih.gov/pubmed/33827486
http://dx.doi.org/10.1186/s12885-021-08112-z
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