Identification of exosome-related genes in NSCLC via integrated bioinformatics and machine learning analysis

Identification of exosome-related genes in NSCLC via integrated bioinformatics and machine learning analysis

Abstract Exosomes are crucial in the development of non-small cell lung cancer (NSCLC), yet exosome-associated genes in NSCLC remain insufficiently explored. The present study identified 59 exosome-associated differentially expressed genes (EA-DEGs) from the Gene Expression Omnibus (GEO) and GeneCar...

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Bibliographic Details
Main Authors: Zhenjie Sun, Tianyu Du, Guosheng Yang, Yinghuan Sun, Xuyang Xiao
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
NSCLC
Exosome
Machine learning
TME
Genes
Online Access:https://doi.org/10.1038/s41598-025-04485-4
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https://doi.org/10.1038/s41598-025-04485-4

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