Predicting cervical lymph node metastasis in OSCC based on computed tomography imaging genomics.

ABSTRACT:

Background

To investigate the correlation between computed tomography (CT) radiomic characteristics and key genes for cervical lymph node metastasis (LNM) in oral squamous cell carcinoma (OSCC).

Methods

The region of interest was annotated at the edge of the primary tumor on enhanced CT images from 140 patients with OSCC and obtained radiomic features. Ribonucleic acid (RNA) sequencing was performed on pathological sections from 20 patients. the DESeq software package was used to compare differential gene expression between groups. Weighted gene co-expression network analysis was used to construct co-expressed gene modules, and the KEGG and GO databases were used for pathway enrichment analysis of key gene modules. Finally, Pearson correlation coefficients were calculated be

SUBMITTER: Jin N 

PROVIDER: S-EPMC10557859 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature