M⁶A-related lncRNA signature for predicting prognosis and immune response in head and neck squamous cell carcinoma.

ABSTRACT:

Objectives

N6-methyladenosine (m⁶A) and long non-coding RNAs (lncRNAs) significantly impact the prognosis and the response to immunotherapy in head and neck squamous cell carcinoma (HNSCC). Therefore, this study aimed to develop an m⁶A-related lncRNA (m⁶AlncRNA) model for predicting the prognosis and the immunotherapeutic response in HNSCC.

Methods

We identified the m⁶AlncRNAs and constructed a risk assessment signature by using univariable Cox, Least Absolute Shrinkage and Selection Operator (LASSO), and multivariate Cox regression analyses. The Kaplan-Meier analysis, receiver-operating characteristic (ROC) curves, principal component analysis (PCA), decision curve analysis (DCA), consistency index (C-index), and nomogram were app

SUBMITTER: Yin J 

PROVIDER: S-EPMC9730119 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature