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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.
Afiliação
  • Xiong D; Medical Laboratory of the Third Affiliated hospital of ShenZhen University, Shenzhen, China.
  • Wu W; Medical Laboratory of the Third Affiliated hospital of ShenZhen University, Shenzhen, China.
  • Kan L; Medical Laboratory of the Third Affiliated hospital of ShenZhen University, Shenzhen, China.
  • Chen D; Medical Laboratory of the Third Affiliated hospital of ShenZhen University, Shenzhen, China.
  • Dou X; Medical Laboratory of the Third Affiliated hospital of ShenZhen University, Shenzhen, China.
  • Ji X; Medical Laboratory of the Third Affiliated hospital of ShenZhen University, Shenzhen, China.
  • Wang M; Medical Laboratory of the Third Affiliated hospital of ShenZhen University, Shenzhen, China.
  • Zong Z; Medical Laboratory of the Third Affiliated hospital of ShenZhen University, Shenzhen, China.
  • Li J; Department of Otolaryngology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Zhang X; Guangzhou Key Laboratory of Otorhinolaryngology, Guangzhou, China.
PeerJ ; 8: e8557, 2020.
Article em En | MEDLINE | ID: mdl-32095369
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Screening_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Screening_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article