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Multi-omics characterization and machine learning of lung adenocarcinoma molecular subtypes to guide precise chemotherapy and immunotherapy.

Frontiers in immunology - 1 Jan 2024

Zhang Yi, Wang Yuzhi, Qian Haitao

Abstract excerpt

Background: Lung adenocarcinoma (LUAD) is a heterogeneous tumor characterized by diverse genetic and molecular alterations. Developing a multi-omics-based classification system for LUAD is urgently needed to advance biological understanding. Methods: Data on clinical and pathological characteristics, genetic alterations, DNA methylation patterns, and the expression of mRNA, lncRNA, and microRNA, along with...

Topics

Humans
Adenocarcinoma of Lung
Machine Learning
Lung Neoplasms
Immunotherapy
Biomarkers, Tumor
Gene Expression Regulation, Neoplastic
Prognosis
Mutation
Computational Biology
Gene Expression Profiling

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Precision Medicine

Male

Genomics

Female

Multiomics

Source

Open in PubMed Open full text

Identifiers

PMID: 39669580
DOI: 10.3389/fimmu.2024.1497300
PMCID: PMC11634853

Genes

SLC2A1
CCK

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 31 Aug 2026.

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