Integration of graph neural networks and transcriptomics analysis identify key pathways and gene signature for immunotherapy response and prognosis of skin melanoma

Objective The assessment of immunotherapy plays a pivotal role in the clinical management of skin melanoma. Graph neural networks (GNNs), alongside other deep learning algorithms and bioinformatics approaches, have demonstrated substantial promise in advancing cancer diagnosis and treatment strategi...

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Bibliographic Details
Published in:	BMC cancer Vol. 25; no. 1; pp. 648 - 18
Main Authors:	Ye, Maodong, Ren, Shuai, Luo, Huanjuan, Wu, Xiumin, Lian, Hongwei, Cai, Xiangna, Ji, Yingchang
Format:	Journal Article
Language:	English
Published:	London BioMed Central 09.04.2025 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	Algorithms Analysis Bioinformatics Biomarkers Biomarkers, Tumor - genetics Biomedical and Life Sciences Biomedicine Cancer Research Cancer therapies Care and treatment Cell culture Computational biology Computational Biology - methods Datasets Deep learning Enzyme-linked immunosorbent assay Gene expression Gene Expression Profiling Gene Expression Regulation, Neoplastic Genetic aspects Genetic diversity Genetic variation Graph Neural Networks Health Promotion and Disease Prevention Humans Immune checkpoint inhibitors Immunity Immunotherapy Immunotherapy - methods Immunotherapy response Medical prognosis Medical research Medicine/Public Health Melanoma Melanoma - genetics Melanoma - immunology Melanoma - mortality Melanoma - pathology Melanoma - therapy Metastases Neural networks Neural Networks, Computer Oncology Patient outcomes Patients Prediction models Prognosis Skin Skin cancer Skin Neoplasms - genetics Skin Neoplasms - immunology Skin Neoplasms - mortality Skin Neoplasms - pathology Skin Neoplasms - therapy Surgical Oncology Survival analysis Therapeutic targets Transcriptome Transcriptomics Transfection Tumor markers Tumor microenvironment Tumor Microenvironment - genetics Tumor Microenvironment - immunology Tumors China Graph neural networks Prognosis Immunotherapy response Tumor microenvironment Bioinformatics Melanoma
ISSN:	1471-2407, 1471-2407
Online Access:	Get full text
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