Comprehensive analysis of scRNA-seq and bulk RNA-seq data via machine learning and bioinformatics reveals the role of lysine metabolism-related genes in gastric carcinogenesis.
Journal:
BMC cancer
PMID:
40205350
Abstract
BACKGROUND: Gastric cancer (GC) is a highly aggressive and heterogeneous cancer with extremely complex biological characteristics. Lysine and its metabolism are closely related to human cancer, but little is known about how lysine metabolism-related genes contribute to gastric carcinogenesis.
Authors
Keywords
Biomarkers, Tumor
Carcinogenesis
Cell Line, Tumor
Cell Proliferation
Computational Biology
Gene Expression Regulation, Neoplastic
Gene Regulatory Networks
Humans
Lysine
Machine Learning
Nomograms
Prognosis
RNA-Seq
Sequence Analysis, RNA
Single-Cell Analysis
Single-Cell Gene Expression Analysis
Stomach Neoplasms
Vimentin