Research Paper|Volume 13, Issue 6|pp 8688—8705

Establishment and validation of an eight-gene metabolic–related prognostic signature model for lung adenocarcinoma

Weishuang Ma^1,⁴, Jiaming Liang², Jinhui Liu³, Dongbo Tian⁴, Zisheng Chen⁴

¹Zhouxin Community Health Service, Qingcheng District, Qingyuan, China
²State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, National Clinical Research Center for Respiratory Disease, Guangzhou, China
³The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
⁴Department of Respiratory Medicine, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People’s Hospital, Qingyuan, China

* Equal contribution

Received: October 31, 2020Accepted: February 3, 2021Published: February 22, 2021

https://doi.org/10.18632/aging.202681

Copyright: © 2021 Ma et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

In this study, we constructed an eight-gene metabolic related signature for LUAD. The eight-gene prognostic signature (including PLAUR, F2, UGT2B17, GNG7, IDO2, ST3GAL6, PIK3CG, and GLS2) exhibited a good prognostic value in the TCGA LUAD training dataset and testing dataset. In addition, the risk score based on the signature model was significantly correlated with immune cell infiltration and expression levels of immune markers in LUAD patients. LUAD cohorts from GEO were used to validate the model, indicating the usefulness of the model. In summary, we developed and validated an eight-gene signature model for LUAD, which can reflect the immune microenvironment characteristics and predict the prognostic outcomes for LUAD patients.