Cargando…

LINC00958 and HOXC13-AS as key candidate biomarkers in head and neck squamous cell carcinoma by integrated bioinformatics analysis

BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) is a malignant tumor with a strong tendency for metastasis and recurrence. Finding effective biomarkers for the early diagnosis of HNSCC is critical for the early treatment and prognosis of patients. METHODS: RNA sequencing data including lon...

Descripción completa

Detalles Bibliográficos
Autores principales: Xiong, Dan, Wu, Wei, Kan, Lijuan, Chen, Dayang, Dou, Xiaowen, Ji, Xiang, Wang, Mengmeng, Zong, Zengyan, Li, Jian, Zhang, Xiuming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7024572/
https://www.ncbi.nlm.nih.gov/pubmed/32095369
http://dx.doi.org/10.7717/peerj.8557
_version_ 1783498430456266752
author Xiong, Dan
Wu, Wei
Kan, Lijuan
Chen, Dayang
Dou, Xiaowen
Ji, Xiang
Wang, Mengmeng
Zong, Zengyan
Li, Jian
Zhang, Xiuming
author_facet Xiong, Dan
Wu, Wei
Kan, Lijuan
Chen, Dayang
Dou, Xiaowen
Ji, Xiang
Wang, Mengmeng
Zong, Zengyan
Li, Jian
Zhang, Xiuming
author_sort Xiong, Dan
collection PubMed
description BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) is a malignant tumor with a strong tendency for metastasis and recurrence. Finding effective biomarkers for the early diagnosis of HNSCC is critical for the early treatment and prognosis of patients. METHODS: RNA sequencing data including long non-coding RNAs (lncRNAs), messenger RNA (mRNAs) and microRNAs (miRNAs) of 141 HNSCC and 44 adjacent normal tissues were obtained from the TCGA. Differentially expressed genes were analyzed using the R package DESeq. GO terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted. A competing endogenous RNAs (ceRNA) network was constructed. The most differentially expressed genes in the main ceRNA network were chosen for nasopharyngeal carcinoma (NPC) cell lines and NPEC2 Bmi-1 cell line verification. A receiver operating characteristic (ROC) curve was constructed for 141 specimens of HNSCC tissues from 44 control samples. RESULTS: In our study, 79 HNSCC-associated abnormally expressed lncRNAs , 86 abnormally expressed miRNAs and 324 abnormally expressed mRNAs were identified. The public microarray results showed that LINC00958 and HOXC13-AS expression levels were upregulated in HNSCC tissues compared with the adjacent normal tissues in this study (p < 0.0001). LINC00958 and HOXC13-AS expression levels in NPC cell lines were higher than those in the NPEC2 Bmi-1 cell line (p < 0.05). The results showed that the area under the ROC curve (AUC) of LINC00958 reached up to 0.906 at a cutoff value of 7.96, with a sensitivity and specificity of 80.85% and 90.91%, respectively. The AUC of HOXC13-AS reached up to 0.898 at a cutoff value of 0.695, with sensitivity and specificity values of 86.23% and 83.78%, respectively. CONCLUSION: The current study indicates that LINC00958 and HOXC13-AS are new candidate diagnostic biomarkers for HNSCC patients.
format Online
Article
Text
id pubmed-7024572
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher PeerJ Inc.
record_format MEDLINE/PubMed
spelling pubmed-70245722020-02-24 LINC00958 and HOXC13-AS as key candidate biomarkers in head and neck squamous cell carcinoma by integrated bioinformatics analysis Xiong, Dan Wu, Wei Kan, Lijuan Chen, Dayang Dou, Xiaowen Ji, Xiang Wang, Mengmeng Zong, Zengyan Li, Jian Zhang, Xiuming PeerJ Bioinformatics BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) is a malignant tumor with a strong tendency for metastasis and recurrence. Finding effective biomarkers for the early diagnosis of HNSCC is critical for the early treatment and prognosis of patients. METHODS: RNA sequencing data including long non-coding RNAs (lncRNAs), messenger RNA (mRNAs) and microRNAs (miRNAs) of 141 HNSCC and 44 adjacent normal tissues were obtained from the TCGA. Differentially expressed genes were analyzed using the R package DESeq. GO terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted. A competing endogenous RNAs (ceRNA) network was constructed. The most differentially expressed genes in the main ceRNA network were chosen for nasopharyngeal carcinoma (NPC) cell lines and NPEC2 Bmi-1 cell line verification. A receiver operating characteristic (ROC) curve was constructed for 141 specimens of HNSCC tissues from 44 control samples. RESULTS: In our study, 79 HNSCC-associated abnormally expressed lncRNAs , 86 abnormally expressed miRNAs and 324 abnormally expressed mRNAs were identified. The public microarray results showed that LINC00958 and HOXC13-AS expression levels were upregulated in HNSCC tissues compared with the adjacent normal tissues in this study (p < 0.0001). LINC00958 and HOXC13-AS expression levels in NPC cell lines were higher than those in the NPEC2 Bmi-1 cell line (p < 0.05). The results showed that the area under the ROC curve (AUC) of LINC00958 reached up to 0.906 at a cutoff value of 7.96, with a sensitivity and specificity of 80.85% and 90.91%, respectively. The AUC of HOXC13-AS reached up to 0.898 at a cutoff value of 0.695, with sensitivity and specificity values of 86.23% and 83.78%, respectively. CONCLUSION: The current study indicates that LINC00958 and HOXC13-AS are new candidate diagnostic biomarkers for HNSCC patients. PeerJ Inc. 2020-02-13 /pmc/articles/PMC7024572/ /pubmed/32095369 http://dx.doi.org/10.7717/peerj.8557 Text en ©2020 Xiong et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that 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
Xiong, Dan
Wu, Wei
Kan, Lijuan
Chen, Dayang
Dou, Xiaowen
Ji, Xiang
Wang, Mengmeng
Zong, Zengyan
Li, Jian
Zhang, Xiuming
LINC00958 and HOXC13-AS as key candidate biomarkers in head and neck squamous cell carcinoma by integrated bioinformatics analysis
title LINC00958 and HOXC13-AS as key candidate biomarkers in head and neck squamous cell carcinoma by integrated bioinformatics analysis
title_full LINC00958 and HOXC13-AS as key candidate biomarkers in head and neck squamous cell carcinoma by integrated bioinformatics analysis
title_fullStr LINC00958 and HOXC13-AS as key candidate biomarkers in head and neck squamous cell carcinoma by integrated bioinformatics analysis
title_full_unstemmed LINC00958 and HOXC13-AS as key candidate biomarkers in head and neck squamous cell carcinoma by integrated bioinformatics analysis
title_short LINC00958 and HOXC13-AS as key candidate biomarkers in head and neck squamous cell carcinoma by integrated bioinformatics analysis
title_sort linc00958 and hoxc13-as as key candidate biomarkers in head and neck squamous cell carcinoma by integrated bioinformatics analysis
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7024572/
https://www.ncbi.nlm.nih.gov/pubmed/32095369
http://dx.doi.org/10.7717/peerj.8557
work_keys_str_mv AT xiongdan linc00958andhoxc13asaskeycandidatebiomarkersinheadandnecksquamouscellcarcinomabyintegratedbioinformaticsanalysis
AT wuwei linc00958andhoxc13asaskeycandidatebiomarkersinheadandnecksquamouscellcarcinomabyintegratedbioinformaticsanalysis
AT kanlijuan linc00958andhoxc13asaskeycandidatebiomarkersinheadandnecksquamouscellcarcinomabyintegratedbioinformaticsanalysis
AT chendayang linc00958andhoxc13asaskeycandidatebiomarkersinheadandnecksquamouscellcarcinomabyintegratedbioinformaticsanalysis
AT douxiaowen linc00958andhoxc13asaskeycandidatebiomarkersinheadandnecksquamouscellcarcinomabyintegratedbioinformaticsanalysis
AT jixiang linc00958andhoxc13asaskeycandidatebiomarkersinheadandnecksquamouscellcarcinomabyintegratedbioinformaticsanalysis
AT wangmengmeng linc00958andhoxc13asaskeycandidatebiomarkersinheadandnecksquamouscellcarcinomabyintegratedbioinformaticsanalysis
AT zongzengyan linc00958andhoxc13asaskeycandidatebiomarkersinheadandnecksquamouscellcarcinomabyintegratedbioinformaticsanalysis
AT lijian linc00958andhoxc13asaskeycandidatebiomarkersinheadandnecksquamouscellcarcinomabyintegratedbioinformaticsanalysis
AT zhangxiuming linc00958andhoxc13asaskeycandidatebiomarkersinheadandnecksquamouscellcarcinomabyintegratedbioinformaticsanalysis