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一种新型锌代谢相关基因特征可预测肺腺癌的预后和免疫治疗反应。

A novel zinc metabolism-related gene signature to predict prognosis and immunotherapy response in lung adenocarcinoma.

机构信息

State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.

Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.

出版信息

Front Immunol. 2023 Mar 24;14:1147528. doi: 10.3389/fimmu.2023.1147528. eCollection 2023.

Abstract

BACKGROUND

Zinc is a key mineral element in regulating cell growth, development, and immune system. We constructed the zinc metabolism-related gene signature to predict prognosis and immunotherapy response for lung adenocarcinoma (LUAD).

METHODS

Zinc metabolism-associated gene sets were obtained from Molecular Signature Database. Then, the zinc metabolism-related gene signature (ZMRGS) was constructed and validated. After combining with clinical characteristics, the nomogram for practical application was constructed. The differences in biological pathways, immune molecules, and tumor microenvironment (TME) between the different groups were analyzed. Tumor Immune Dysfunction and Exclusion algorithm (TIDE) and two immunotherapy datasets were used to evaluate the immunotherapy response.

RESULTS

The signature was constructed according to six key zinc metabolism-related genes, which can well predict the prognosis of LUAD patients. The nomogram also showed excellent prediction performance. Functional analysis showed that the low-risk group was in the status of immune activation. More importantly, the lower risk score of LUAD patients showed a higher response rate to immunotherapy.

CONCLUSION

The state of zinc metabolism is closely connected to prognosis, tumor microenvironment, and response to immunotherapy. The zinc metabolism-related signature can well evaluate the prognosis and immunotherapy response for LUAD patients.

摘要

背景

锌是调节细胞生长、发育和免疫系统的关键矿物质元素。我们构建了锌代谢相关基因特征,以预测肺腺癌 (LUAD) 的预后和免疫治疗反应。

方法

从分子特征数据库中获取锌代谢相关基因集。然后,构建和验证锌代谢相关基因特征 (ZMRGS)。结合临床特征后,构建了用于实际应用的列线图。分析不同组之间的生物学途径、免疫分子和肿瘤微环境 (TME) 的差异。使用肿瘤免疫功能障碍和排除算法 (TIDE) 和两个免疫治疗数据集来评估免疫治疗反应。

结果

该特征是根据六个关键的锌代谢相关基因构建的,可很好地预测 LUAD 患者的预后。列线图也表现出出色的预测性能。功能分析表明,低风险组处于免疫激活状态。更重要的是,LUAD 患者的风险评分越低,对免疫治疗的反应率越高。

结论

锌代谢状态与预后、肿瘤微环境和免疫治疗反应密切相关。锌代谢相关特征可很好地评估 LUAD 患者的预后和免疫治疗反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b26f/10079938/8000c41ddc65/fimmu-14-1147528-g001.jpg

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