4.7 Article

A Novel Three-lncRNA Signature Predicts the Overall Survival of HNSCC Patients

Journal

ANNALS OF SURGICAL ONCOLOGY
Volume 28, Issue 6, Pages 3396-3406

Publisher

SPRINGER
DOI: 10.1245/s10434-020-09210-1

Keywords

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Funding

  1. Shanghai Anticancer Association [SACA-AX106, SACA-CY19B01]

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This study identified a novel three-lncRNA signature to predict survival of head and neck squamous cell caner (HNSCC) patients, and validated its predictive performance in two cohorts. The signature was associated with poor prognoses in HNSCC and may serve as a potential therapeutic target.
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 three-lncRNA 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, TNF alpha signaling via NF-kappa B, 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.

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