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Dataset Information

Construction and validation of an EGFR-related risk signature identified <i>SHC1</i> as a prognostic biomarker for lung adenocarcinoma.


ABSTRACT:

Background

Lung adenocarcinoma (LUAD) is a significant subtype of lung cancer, contributing to high mortality rates and posing substantial challenges to public health. This study aims to explore the significance of the epidermal growth factor receptor (EGFR)-related gene SHC1 in the progression and prognosis of LUAD.

Methods

Patient RNA sequencing (RNA-seq) and clinical data were acquired from The Cancer Genome Atlas (TCGA) database. Using the least absolute shrinkage and selection operator (LASSO) Cox regression, we then generated a multigene signature of EGFR signaling-related genes (ESRGs) for the prognostic prediction of LUAD. We investigated the relationship between SHC1 gene expression and immune cell infiltration by employing single-sample gene set enric

SUBMITTER: Cao H 

PROVIDER: S-EPMC12335678 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature