HOTTIP Functions as a Key Candidate Biomarker in Head and Neck Squamous Cell Carcinoma by Integrated Bioinformatic Analysis
Joint Authors
Han, Wei
Xu, Wenguang
Yin, Xiteng
Yang, Weidong
Xie, Junqi
Wei, Zheng
Tang, Chuanchao
Song, Chuanhui
Wang, Yufeng
Cai, Yu
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-26
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Background.
Accumulating evidence has demonstrated the pivotal role of long noncoding RNAs (lncRNAs) in competing endogenous RNA (ceRNA) networks for predicting survival and evaluating prognosis in cancer patients.
However, the pathogenesis of head and neck squamous cell carcinoma (HNSCC) remains unclear, and prognostic biomarkers for HNSCC are still lacking.
Methods.
A total of 546 RNA sequencing profiles of HNSCC patients with clinical outcome data were obtained from the Cancer Genome Atlas (TCGA) database, providing a large sample of RNA sequencing data.
From these, 71 Long noncoding RNAs lncRNAs, 8 microRNAs (miRNAs), and 16 messenger RNAs (mRNAs) were identified to construct a HNSCC-specific ceRNA network (fold change >2, P < 0.05).
Univariate and multivariate Cox proportional regression models were used to assess independent indicators of prognosis.
Then the expression of lncRNAs harboring prognostic value was validated in human HNSCC cell lines and tumor samples from our cohort and another two datasets from GEO (Gene Expression Omnibus) databases.
Results.
As a result, a 3-mRNA signature and 6-lncRNA signature were identified.
The six-lncRNA signature exhibited the highest prognostic value.
Notably, in the six lncRNAs, HOTTIP showed the greatest prognostic value and was significantly correlated with clinical stage and histological grade of HNSCC patients.
Furthermore, it was proved that HOTTIP was upregulated in HNSCC cell lines and cancerous tissues compared with corresponding normal cell lines and normal tissues.
Functional assessment analysis revealed that HOTTIP might play a key role in the oncogenesis and progression of HNSCC.
Conclusion.
The present study deepened our understanding of the ceRNA-related regulatory mechanism in the pathogenesis of HNSCC and identified candidate prognostic biomarkers for clinical outcome prediction in HNSCC.
HOTTIP may function as a key candidate biomarker in HNSCC and serve as a prognostic marker for HNSCC patients.
American Psychological Association (APA)
Yin, Xiteng& Yang, Weidong& Xie, Junqi& Wei, Zheng& Tang, Chuanchao& Song, Chuanhui…[et al.]. 2019. HOTTIP Functions as a Key Candidate Biomarker in Head and Neck Squamous Cell Carcinoma by Integrated Bioinformatic Analysis. BioMed Research International،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1126045
Modern Language Association (MLA)
Yin, Xiteng…[et al.]. HOTTIP Functions as a Key Candidate Biomarker in Head and Neck Squamous Cell Carcinoma by Integrated Bioinformatic Analysis. BioMed Research International No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1126045
American Medical Association (AMA)
Yin, Xiteng& Yang, Weidong& Xie, Junqi& Wei, Zheng& Tang, Chuanchao& Song, Chuanhui…[et al.]. HOTTIP Functions as a Key Candidate Biomarker in Head and Neck Squamous Cell Carcinoma by Integrated Bioinformatic Analysis. BioMed Research International. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1126045
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1126045