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DSG2 expression is correlated with poor prognosis and promotes early-stage cervical cancer

BACKGROUND: The pathogenesis and developmental mechanism of early-stage (FIGO 2009 IA2-IIA2) cervical cancer (CC) remain unclear. Seeking novel molecular biomarkers based on The Cancer Genome Atlas (TCGA) will facilitate the understanding of CC pathogenesis and help evaluate early-stage CC prognosis...

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Autores principales: Qin, Shuhang, Liao, Yuandong, Du, Qiqiao, Wang, Wei, Huang, Jiaming, Liu, Pan, Shang, Chunliang, Liu, Tianyu, Xia, Meng, Yao, Shuzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268232/
https://www.ncbi.nlm.nih.gov/pubmed/32514251
http://dx.doi.org/10.1186/s12935-020-01292-x
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author Qin, Shuhang
Liao, Yuandong
Du, Qiqiao
Wang, Wei
Huang, Jiaming
Liu, Pan
Shang, Chunliang
Liu, Tianyu
Xia, Meng
Yao, Shuzhong
author_facet Qin, Shuhang
Liao, Yuandong
Du, Qiqiao
Wang, Wei
Huang, Jiaming
Liu, Pan
Shang, Chunliang
Liu, Tianyu
Xia, Meng
Yao, Shuzhong
author_sort Qin, Shuhang
collection PubMed
description BACKGROUND: The pathogenesis and developmental mechanism of early-stage (FIGO 2009 IA2-IIA2) cervical cancer (CC) remain unclear. Seeking novel molecular biomarkers based on The Cancer Genome Atlas (TCGA) will facilitate the understanding of CC pathogenesis and help evaluate early-stage CC prognosis. METHODS: To identify prognosis-related genes in early-stage CC, we analyzed TCGA mRNA-seq data and clinical data by univariate Cox and Kaplan–Meier plotter analyses. Differential expression analysis identified upregulated genes in early-stage CC. Combined with the genes correlated with unfavorable prognosis, we selected desmoglein-2 (DSG2) for further investigation. To detect DSG2 expression in early-stage CC, we used immunohistochemistry (IHC), quantitative real-time PCR (qRT-PCR) and western blotting. The relationship between the expression of DSG2 and clinical features was analyzed by the Chi square test. Cox analysis was applied to assess the relationship between CC overall survival (OS) and risk factors. The correlations between DSG2 expression and CC cell line proliferation and migration were investigated with Cell Counting Kit-8 (CCK-8) and migration assays. RESULTS: There were 416 prognosis-related genes in early-stage CC. DSG2, matrix metallopeptidase 1 (MMP1), carbonic anhydrase IX (CA9), homeobox A1 (HOXA1), and serine protease inhibitor B3 (SERPINB3) were upregulated in early-stage CC compared with adjacent noncancerous tissue (ANT) and correlated with unfavorable prognosis. Among them, DSG2 was most significantly correlated with patient survival. Coexpression analysis indicated that DSG2 was probably involved in cell division, positive regulation of transferase activity, positive regulation of cell migration, EGFR upregulation pathway and regulation of lymphangiogenesis. IHC, qRT-PCR and western blotting showed that DSG2 expression was higher in CC than in normal tissue. Significant correlations were identified between DSG2 expression and several aggressive clinical features, including pelvic lymph node metastasis (PLNM). Multivariate Cox analysis showed that DSG2 and PLNM were independent prognostic factors for OS. DSG2 knockdown inhibited CC cell proliferation and migration. CONCLUSIONS: DSG2 is a biomarker that promotes tumor proliferation and metastasis and is correlated with poor prognosis in early-stage CC.
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spelling pubmed-72682322020-06-07 DSG2 expression is correlated with poor prognosis and promotes early-stage cervical cancer Qin, Shuhang Liao, Yuandong Du, Qiqiao Wang, Wei Huang, Jiaming Liu, Pan Shang, Chunliang Liu, Tianyu Xia, Meng Yao, Shuzhong Cancer Cell Int Primary Research BACKGROUND: The pathogenesis and developmental mechanism of early-stage (FIGO 2009 IA2-IIA2) cervical cancer (CC) remain unclear. Seeking novel molecular biomarkers based on The Cancer Genome Atlas (TCGA) will facilitate the understanding of CC pathogenesis and help evaluate early-stage CC prognosis. METHODS: To identify prognosis-related genes in early-stage CC, we analyzed TCGA mRNA-seq data and clinical data by univariate Cox and Kaplan–Meier plotter analyses. Differential expression analysis identified upregulated genes in early-stage CC. Combined with the genes correlated with unfavorable prognosis, we selected desmoglein-2 (DSG2) for further investigation. To detect DSG2 expression in early-stage CC, we used immunohistochemistry (IHC), quantitative real-time PCR (qRT-PCR) and western blotting. The relationship between the expression of DSG2 and clinical features was analyzed by the Chi square test. Cox analysis was applied to assess the relationship between CC overall survival (OS) and risk factors. The correlations between DSG2 expression and CC cell line proliferation and migration were investigated with Cell Counting Kit-8 (CCK-8) and migration assays. RESULTS: There were 416 prognosis-related genes in early-stage CC. DSG2, matrix metallopeptidase 1 (MMP1), carbonic anhydrase IX (CA9), homeobox A1 (HOXA1), and serine protease inhibitor B3 (SERPINB3) were upregulated in early-stage CC compared with adjacent noncancerous tissue (ANT) and correlated with unfavorable prognosis. Among them, DSG2 was most significantly correlated with patient survival. Coexpression analysis indicated that DSG2 was probably involved in cell division, positive regulation of transferase activity, positive regulation of cell migration, EGFR upregulation pathway and regulation of lymphangiogenesis. IHC, qRT-PCR and western blotting showed that DSG2 expression was higher in CC than in normal tissue. Significant correlations were identified between DSG2 expression and several aggressive clinical features, including pelvic lymph node metastasis (PLNM). Multivariate Cox analysis showed that DSG2 and PLNM were independent prognostic factors for OS. DSG2 knockdown inhibited CC cell proliferation and migration. CONCLUSIONS: DSG2 is a biomarker that promotes tumor proliferation and metastasis and is correlated with poor prognosis in early-stage CC. BioMed Central 2020-06-03 /pmc/articles/PMC7268232/ /pubmed/32514251 http://dx.doi.org/10.1186/s12935-020-01292-x Text en © The Author(s) 2020 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/. 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 in a credit line to the data.
spellingShingle Primary Research
Qin, Shuhang
Liao, Yuandong
Du, Qiqiao
Wang, Wei
Huang, Jiaming
Liu, Pan
Shang, Chunliang
Liu, Tianyu
Xia, Meng
Yao, Shuzhong
DSG2 expression is correlated with poor prognosis and promotes early-stage cervical cancer
title DSG2 expression is correlated with poor prognosis and promotes early-stage cervical cancer
title_full DSG2 expression is correlated with poor prognosis and promotes early-stage cervical cancer
title_fullStr DSG2 expression is correlated with poor prognosis and promotes early-stage cervical cancer
title_full_unstemmed DSG2 expression is correlated with poor prognosis and promotes early-stage cervical cancer
title_short DSG2 expression is correlated with poor prognosis and promotes early-stage cervical cancer
title_sort dsg2 expression is correlated with poor prognosis and promotes early-stage cervical cancer
topic Primary Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268232/
https://www.ncbi.nlm.nih.gov/pubmed/32514251
http://dx.doi.org/10.1186/s12935-020-01292-x
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