A Novel Three-lncRNA Signature Predicts the Overall Survival of HNSCC Patients
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ORIGINAL ARTICLE – TRANSLATIONAL RESEARCH
A Novel Three-lncRNA Signature Predicts the Overall Survival of HNSCC Patients Hongyi Jiang, MM1,2, Ben Ma, MD1,2, Weibo Xu, MM1,2, Yi Luo, MM1,2, Xiao Wang, MD1,2, Shishuai Wen, MD1,2, Tian Liao, MM1,2, Zhongwu Lu, MD1,2, Shuwen Yang, MD1,2, and Yu Wang, MD1,2 1 2
Department of Head and Neck Surgery, Fudan University Shanghai Cancer Center, Shanghai, People’s Republic of China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People’s Republic of China
ABSTRACT Background. A number of long non-coding RNAs (lncRNAs) have been found to be involved in tumor progression and associated with disease prognoses in various types of cancer. Our study identified a novel three-lncRNA signature to predict survival of head and neck squamous cell caner (HNSCC) patients. Methods. We utilized The Cancer Genome Atlas (TCGA) cohort to screen out overall survival (OS)-associated lncRNAs in HNSCC and further developed a model to identify a lncRNA signature for evaluating disease status and prognosis. The lncRNA signature was then validated in HNSCC patients from our Fudan University Shanghai Cancer Center (FUSCC) cohort. Results. LINC02434, AL139327.2, and AC126175.1 were identified by multivariable Cox regression analyses of independent risk factors for deceased status. We built a risk score model based on the three-lncRNA signature using
coefficient of multivariable Cox regression and expression value of the three lncRNAs. The high-risk signature score was significantly associated with decreased OS in both the TCGA cohort and the FUSCC cohort. The high-risk group had worse overall survival than the low-risk group in TCGA cohort. To further validate the robustness of threelncRNA signature risk score model developed in the TCGA dataset, the performance of risk score also evaluated in our institute FUSCC cohort. Additionally, the signature score showed a positive correlation with aggressive outcomes of HNSCC, such as III/IV stage, TP53 mutation, and PI3KCA mutation. The gene set enrichment analysis indicates that the risk score is associated with cancer metastasis-related pathways. Several cancer-related pathways, such as epithelial mesenchymal transition, TNFa signaling via NFjB, MYC targets, and angiogenesis. Conclusions. The three-lncRNA signature could provide a novel prediction insight into the prognosis of HNSCC patients. The three-lncRNA signature was identified as a predictor of poor prognoses in HNSCC, which may serve as a potential therapeutic target.
Hongyi Jiang, Ben Ma and Weibo Xu have contributed equally to this work.
Electronic supplementary material The online version of this article (https://doi.org/10.1245/s10434-020-09210-1) contains supplementary material, which is available to authorized users. Ó Society of Surgical Oncology 2020 First Received: 29 April 2020 Accepted: 18 September 2020 S. Yang, MD e-mail: [email protected] Y. Wang, MD e-mail: [email protected]; [email protected]
Head and neck carcinoma is a worldwide deadly disease with a
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