Identification and Verification of a Prognostic Risk Signature in Oral Squamous Cell Carcinoma.

ABSTRACT:

Introduction

Oral squamous cell carcinoma (OSCC) is a prevalent malignant condition. This study aimed to investigate the role of mTORC1 signaling and develop a prognostic model for OSCC.

Materials and methods

The single-sample gene set enrichment analysis (ssGSEA) algorithm was utilized to calculate the Z-Score of Hallmarks in OSCC, followed by univariate Cox regression analysis to identify processes associated with prognosis. Weighted gene co-expression network analysis (WGCNA) was performed using transcriptomic data from the cancer genome atlas (TCGA) cohort to identify genes correlated with mTORC1 signaling. A six-gene prognostic model was constructed using multifactorial Cox regression analysis and validated using an external dataset.

Results

The study uncovered a

SUBMITTER: Chen R 

PROVIDER: S-EPMC12728520 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature