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

Journal: Frontiers in immunology

Published Date: Nov 28, 2024

Abstract

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.

Authors

Yi Zhang

Department of Thyroid Surgery, China-Japan Union Hospital of Jilin University, Jilin University, Changchun, China.
Yuzhi Wang

Department of Laboratory Medicine, Deyang People's Hospital, Deyang, Sichuan, China.
Haitao Qian

Department of Anesthesiology, The First People's Hospital of Lianyungang, Lianyungang, Jiangsu, China.

Keywords

Adenocarcinoma of Lung Biomarkers, Tumor Computational Biology Female Gene Expression Profiling Gene Expression Regulation, Neoplastic Genomics Humans Immunotherapy Lung Neoplasms Machine Learning Male Multiomics Mutation Precision Medicine Prognosis

External Resources

View on PubMed Access via DOI PubMed (39669580)

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

Abstract

Authors

Keywords

External Resources

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