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Identification of SPRR3 as a novel diagnostic/prognostic biomarker for oral squamous cell carcinoma via RNA sequencing and bioinformatic analyses

Oral squamous cell carcinoma (OSCC) has always been one of the most aggressive and invasive cancers among oral and maxillofacial malignancies. As the morbidity and mortality of the disease have increased year by year, the search for a promising diagnostic and prognostic biomarker for the disease is...

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Autores principales: Yu, Lu, Yang, Zongcheng, Liu, Yingjiao, Liu, Fen, Shang, Wenjing, Shao, Wei, Wang, Yue, Xu, Man, Wang, Ya-nan, Fu, Yue, Xu, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7305774/
https://www.ncbi.nlm.nih.gov/pubmed/32596058
http://dx.doi.org/10.7717/peerj.9393
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author Yu, Lu
Yang, Zongcheng
Liu, Yingjiao
Liu, Fen
Shang, Wenjing
Shao, Wei
Wang, Yue
Xu, Man
Wang, Ya-nan
Fu, Yue
Xu, Xin
author_facet Yu, Lu
Yang, Zongcheng
Liu, Yingjiao
Liu, Fen
Shang, Wenjing
Shao, Wei
Wang, Yue
Xu, Man
Wang, Ya-nan
Fu, Yue
Xu, Xin
author_sort Yu, Lu
collection PubMed
description Oral squamous cell carcinoma (OSCC) has always been one of the most aggressive and invasive cancers among oral and maxillofacial malignancies. As the morbidity and mortality of the disease have increased year by year, the search for a promising diagnostic and prognostic biomarker for the disease is becoming increasingly urgent. Tumorous and adjacent tissues were collected from three OSCC sufferers and we obtained 229 differentially expressed genes (DEGs) between tumor and normal tissues via high-throughput RNA sequence. Function and pathway enrichment analyses for DEGs were conducted to find a correlation between tumorigenesis status and DEGs. Protein interaction network and molecular complex detection (MCODE) were constructed to detect core modules. Two modules were enriched in MCODE. The diagnostic and prognostic values of the candidate genes were analyzed, which provided evidence for the candidate genes as new tumor markers. Small Proline Rich Protein 3 (SPRR3), a potential tumor marker that may be useful for the diagnosis of OSCC, was screened out. The survival analysis showed that SPRR3 under expression predicted the poor prognosis of OSCC patients. Further experiments have also shown that the expression of SPRR3 decreased as the malignancy of OSCC increased. Therefore, we believe that SPRR3 could be used as a novel diagnostic and prognostic tumor marker.
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spelling pubmed-73057742020-06-25 Identification of SPRR3 as a novel diagnostic/prognostic biomarker for oral squamous cell carcinoma via RNA sequencing and bioinformatic analyses Yu, Lu Yang, Zongcheng Liu, Yingjiao Liu, Fen Shang, Wenjing Shao, Wei Wang, Yue Xu, Man Wang, Ya-nan Fu, Yue Xu, Xin PeerJ Bioinformatics Oral squamous cell carcinoma (OSCC) has always been one of the most aggressive and invasive cancers among oral and maxillofacial malignancies. As the morbidity and mortality of the disease have increased year by year, the search for a promising diagnostic and prognostic biomarker for the disease is becoming increasingly urgent. Tumorous and adjacent tissues were collected from three OSCC sufferers and we obtained 229 differentially expressed genes (DEGs) between tumor and normal tissues via high-throughput RNA sequence. Function and pathway enrichment analyses for DEGs were conducted to find a correlation between tumorigenesis status and DEGs. Protein interaction network and molecular complex detection (MCODE) were constructed to detect core modules. Two modules were enriched in MCODE. The diagnostic and prognostic values of the candidate genes were analyzed, which provided evidence for the candidate genes as new tumor markers. Small Proline Rich Protein 3 (SPRR3), a potential tumor marker that may be useful for the diagnosis of OSCC, was screened out. The survival analysis showed that SPRR3 under expression predicted the poor prognosis of OSCC patients. Further experiments have also shown that the expression of SPRR3 decreased as the malignancy of OSCC increased. Therefore, we believe that SPRR3 could be used as a novel diagnostic and prognostic tumor marker. PeerJ Inc. 2020-06-17 /pmc/articles/PMC7305774/ /pubmed/32596058 http://dx.doi.org/10.7717/peerj.9393 Text en © 2020 Yu et al. https://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by-nc/4.0) , which permits using, remixing, and building upon the work non-commercially, as long as it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Yu, Lu
Yang, Zongcheng
Liu, Yingjiao
Liu, Fen
Shang, Wenjing
Shao, Wei
Wang, Yue
Xu, Man
Wang, Ya-nan
Fu, Yue
Xu, Xin
Identification of SPRR3 as a novel diagnostic/prognostic biomarker for oral squamous cell carcinoma via RNA sequencing and bioinformatic analyses
title Identification of SPRR3 as a novel diagnostic/prognostic biomarker for oral squamous cell carcinoma via RNA sequencing and bioinformatic analyses
title_full Identification of SPRR3 as a novel diagnostic/prognostic biomarker for oral squamous cell carcinoma via RNA sequencing and bioinformatic analyses
title_fullStr Identification of SPRR3 as a novel diagnostic/prognostic biomarker for oral squamous cell carcinoma via RNA sequencing and bioinformatic analyses
title_full_unstemmed Identification of SPRR3 as a novel diagnostic/prognostic biomarker for oral squamous cell carcinoma via RNA sequencing and bioinformatic analyses
title_short Identification of SPRR3 as a novel diagnostic/prognostic biomarker for oral squamous cell carcinoma via RNA sequencing and bioinformatic analyses
title_sort identification of sprr3 as a novel diagnostic/prognostic biomarker for oral squamous cell carcinoma via rna sequencing and bioinformatic analyses
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7305774/
https://www.ncbi.nlm.nih.gov/pubmed/32596058
http://dx.doi.org/10.7717/peerj.9393
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