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. 2024 Jul 5;15:1415310. doi: 10.3389/fphar.2024.1415310

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Copyright © 2024 Wang, Zhang, You, Xu, Zhang, Li, Yang and Wang.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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(A–L) Survival Analysis of Lung Cancer Patients Based on NNMT-Associated Gene Expression. This study explored the correlation between NNMT and other genes in lung cancer. Patients were divided into high and low expression groups for these genes based on median gene expression levels, and survival analyses were conducted. (M,N) Predictive Model for Lung Cancer Patient Survival Outcomes Constructed Using Lasso Regression Analysis. The model refined to include parameters for 10 genes. (O) The ROC of Predictive Model. Risk Score = IGFBP1 × 0.0843 - CA10 × 0.0189 - CRYBA4 × 0.2311 - ARGFXP2 × 0.1468 + EPGN × 0.1024 + KRT6C × 0.0475 + DSC1 × 0.0777 - GDF7 × 0.0373 + ZIC5 × 0.0173 - SLC14A2 × 0.0498. The ROC of the Predictive Model is 0.732.