Comprehensive Analysis of m6A‐Related Programmed Cell Death Genes Unveils a Novel Prognostic Model for Lung Adenocarcinoma

Journal of Cellular and Molecular Medicine, Journal Year: 2025, Volume and Issue: 29(2)

Published: Jan. 1, 2025

ABSTRACT Lung adenocarcinoma (LUAD) involves complex dysregulated cellular processes, including programmed cell death (PCD), influenced by N6‐methyladenosine (m6A) RNA modification. This study integrates bulk and single‐cell sequencing data to identify 43 prognostically valuable m6A‐related PCD genes, forming the basis of a 13‐gene risk model (m6A‐related signature [mPCDS]) developed using machine‐learning algorithms, CoxBoost SuperPC. The mPCDS demonstrated significant predictive performance across multiple validation datasets. In addition its prognostic accuracy, revealed distinct genomic profiles, pathway activations, associations with tumour microenvironment potential for predicting drug sensitivity. Experimental identified RCN1 as oncogene driving LUAD progression promising therapeutic target. offers new approach stratification personalised treatment strategies.

Language: Английский

Development of a machine learning-derived programmed cell death index for prognostic prediction and immune insights in colorectal cancer

Discover Oncology, Journal Year: 2025, Volume and Issue: 16(1)

Published: April 24, 2025

Language: Английский