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STAT1 expression and HPV16 viral load predict cervical lesion progression

Cervical cancer is the fourth leading cause of cancer-associated mortality worldwide. However, its underlying molecular mechanisms are unclear. It is important to explore these mechanisms in order to identify novel diagnostic and prognostic biomarkers. The present study determined the association be...

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Autores principales: Wu, Si, Wu, Yingying, Lu, Yiping, Yue, Yuanyi, Cui, Changwan, Yu, Miao, Wang, Shuang, Liu, Miao, Zhao, Ying, Sun, Zhengrong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7405543/
https://www.ncbi.nlm.nih.gov/pubmed/32774501
http://dx.doi.org/10.3892/ol.2020.11889
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author Wu, Si
Wu, Yingying
Lu, Yiping
Yue, Yuanyi
Cui, Changwan
Yu, Miao
Wang, Shuang
Liu, Miao
Zhao, Ying
Sun, Zhengrong
author_facet Wu, Si
Wu, Yingying
Lu, Yiping
Yue, Yuanyi
Cui, Changwan
Yu, Miao
Wang, Shuang
Liu, Miao
Zhao, Ying
Sun, Zhengrong
author_sort Wu, Si
collection PubMed
description Cervical cancer is the fourth leading cause of cancer-associated mortality worldwide. However, its underlying molecular mechanisms are unclear. It is important to explore these mechanisms in order to identify novel diagnostic and prognostic biomarkers. The present study determined the association between STAT1 and human papillomavirus (HPV)16 in cervical lesions. STAT1 expression was detected by immunohistochemistry. Quantitative PCR was used to detect HPV16 viral load and STAT1 expression in cervical lesions. The potential associations among STAT1 expression, HPV16 viral load and the severity of cervical lesions in patients were analyzed using receiver operating characteristic (ROC) curves. The Cancer Genome Atlas database was used to analyze STAT1 expression and survival. High STAT1 expression was observed in 10.71 (3/28), 41.18 (14/34), 53.06 (26/49) and 90.00% (27/30) of normal tissue, low-grade squamous intraepithelial lesion (LSIL), high-grade squamous intraepithelial lesion (HSIL) and cervical squamous cell carcinoma samples, respectively. The HPV16 copy number gradually increased with the progression of cervical lesions, with the highest copy number observed in cervical cancer samples. In addition, STAT1 expression was positively correlated with HPV16 viral load. Furthermore, ROC curve analysis demonstrated that the combination of STAT1 expression and HPV16 viral load was able to differentiate between LSIL/HSIL and cervical cancer samples. Bioinformatics analysis revealed that STAT1 expression was associated with improved survival in cervical cancer. Additionally, STAT1 expression was positively associated with the progression of cervical lesions, and HPV16 viral load may affect STAT1 expression. Overall, these findings indicate that STAT1 may be an indicator of the status of cervical lesions.
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spelling pubmed-74055432020-08-06 STAT1 expression and HPV16 viral load predict cervical lesion progression Wu, Si Wu, Yingying Lu, Yiping Yue, Yuanyi Cui, Changwan Yu, Miao Wang, Shuang Liu, Miao Zhao, Ying Sun, Zhengrong Oncol Lett Articles Cervical cancer is the fourth leading cause of cancer-associated mortality worldwide. However, its underlying molecular mechanisms are unclear. It is important to explore these mechanisms in order to identify novel diagnostic and prognostic biomarkers. The present study determined the association between STAT1 and human papillomavirus (HPV)16 in cervical lesions. STAT1 expression was detected by immunohistochemistry. Quantitative PCR was used to detect HPV16 viral load and STAT1 expression in cervical lesions. The potential associations among STAT1 expression, HPV16 viral load and the severity of cervical lesions in patients were analyzed using receiver operating characteristic (ROC) curves. The Cancer Genome Atlas database was used to analyze STAT1 expression and survival. High STAT1 expression was observed in 10.71 (3/28), 41.18 (14/34), 53.06 (26/49) and 90.00% (27/30) of normal tissue, low-grade squamous intraepithelial lesion (LSIL), high-grade squamous intraepithelial lesion (HSIL) and cervical squamous cell carcinoma samples, respectively. The HPV16 copy number gradually increased with the progression of cervical lesions, with the highest copy number observed in cervical cancer samples. In addition, STAT1 expression was positively correlated with HPV16 viral load. Furthermore, ROC curve analysis demonstrated that the combination of STAT1 expression and HPV16 viral load was able to differentiate between LSIL/HSIL and cervical cancer samples. Bioinformatics analysis revealed that STAT1 expression was associated with improved survival in cervical cancer. Additionally, STAT1 expression was positively associated with the progression of cervical lesions, and HPV16 viral load may affect STAT1 expression. Overall, these findings indicate that STAT1 may be an indicator of the status of cervical lesions. D.A. Spandidos 2020-10 2020-07-17 /pmc/articles/PMC7405543/ /pubmed/32774501 http://dx.doi.org/10.3892/ol.2020.11889 Text en Copyright: © Wu et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Wu, Si
Wu, Yingying
Lu, Yiping
Yue, Yuanyi
Cui, Changwan
Yu, Miao
Wang, Shuang
Liu, Miao
Zhao, Ying
Sun, Zhengrong
STAT1 expression and HPV16 viral load predict cervical lesion progression
title STAT1 expression and HPV16 viral load predict cervical lesion progression
title_full STAT1 expression and HPV16 viral load predict cervical lesion progression
title_fullStr STAT1 expression and HPV16 viral load predict cervical lesion progression
title_full_unstemmed STAT1 expression and HPV16 viral load predict cervical lesion progression
title_short STAT1 expression and HPV16 viral load predict cervical lesion progression
title_sort stat1 expression and hpv16 viral load predict cervical lesion progression
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7405543/
https://www.ncbi.nlm.nih.gov/pubmed/32774501
http://dx.doi.org/10.3892/ol.2020.11889
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