Screening key lncRNAs with diagnostic and prognostic value for head and neck squamous cell carcinoma based on machine learning and mRNA-lncRNA co-expression network analysis.

Journal: Cancer biomarkers : section A of Disease markers

Published Date: Jan 1, 2020

Abstract

BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) is the seventh most common type of cancer around the world. The aim of this study was to seek the long non-coding RNAs (lncRNAs) acting as diagnostic and prognostic biomarker of HNSCC.

Authors

Ying Hu

Department of Ultrasonography, The First Affiliated Hospital, College of Medicine, Zhejiang University, Qingchun Road No. 79, Hangzhou, Zhejiang 310003, China.
Geyang Guo

Department of Radiotherapy, Hunan Cancer Hospital and the Affliated Cancer Hospital of Xiangya School of Medicine, Central South University, Hunan, China.
Junjun Li
Jie Chen

School of Basic Medical Sciences, Health Science Center, Ningbo University, Ningbo, China.
Pingqing Tan

Department of Head and Neck Surgery, Hunan Cancer Hospital and the Affliated Cancer Hospital of Xiangya School of Medicine, Central South University, Hunan, China.

Keywords

Biomarkers, Tumor Computational Biology Gene Expression Regulation, Neoplastic Gene Regulatory Networks Head and Neck Neoplasms High-Throughput Screening Assays Humans Machine Learning Prognosis RNA, Long Noncoding RNA, Messenger Squamous Cell Carcinoma of Head and Neck

External Resources

View on PubMed Access via DOI PubMed (31815689)

Screening key lncRNAs with diagnostic and prognostic value for head and neck squamous cell carcinoma based on machine learning and mRNA-lncRNA co-expression network analysis.

Abstract

Authors

Keywords

External Resources

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