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. 2023 Feb 1;24(3):2794. doi: 10.3390/ijms24032794

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© 2023 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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Schematic outline of the study. RNA sequencing data of NSCLC patients with GSE103584 were analyzed by the WGCNA method, and modules with high significant correlation with distant recurrence were identified. The hub genes were intersected for PPI network construction, enrichment analysis, and AUC calculation. The hub genes and image texture features were identified using the Pearson correlation method. The 6 genes and 4 image texture features were significantly correlated. A random forest model of NSCLC distant recurrence was constructed with identified hub genes and image texture features.