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基于铁死亡相关基因的预后预测生存模型,并与肺鳞癌免疫浸润相关。

A survival model for prognostic prediction based on ferroptosis-associated genes and the association with immune infiltration in lung squamous cell carcinoma.

机构信息

Department of Thoracic Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi City, Guizhou Province, China.

Department of pathology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi City, Guizhou Province, China.

出版信息

PLoS One. 2023 Mar 16;18(3):e0282888. doi: 10.1371/journal.pone.0282888. eCollection 2023.

Abstract

Lung squamous cell carcinoma (LUSC) is the primary pathological type of lung cancer with a less favorable prognosis. This study attempts to construct a ferroptosis-associated signature associated with overall survival (OS) that can predict the prognosis of LUSC and explore its relationship with immune infiltration. A 5 ferroptosis-associated gene model was constructed by LASSO-penalized regression analysis to predict the prognosis of patients with LUSC in the TCGA database and validated in the GEO and TCGA databases. Patients were stratified into high-risk and low-risk groups by the median value of the risk scores, and the former prognosis was significantly worse (P<0.001). Additionally, we found a certain association between the two risk groups and immune infiltration through CIBERSORT. Meanwhile, the differentially expressed genes (DEGs) between normal and tumor tissue were used to perform functional analysis, which showed a significant association with leukocyte transendothelial migration pathways in the TCGA cohort. In addition, immune cell infiltration analysis confirmed that M2 macrophages were significantly highly expressed in the high-risk group. Overall, the model successfully established by ferroptosis-associated genes suggests that ferroptosis may be related to immune infiltration in LUSC.

摘要

肺鳞状细胞癌(LUSC)是肺癌的主要病理类型,预后较差。本研究试图构建一个与总生存期(OS)相关的铁死亡相关特征,以预测 LUSC 的预后,并探讨其与免疫浸润的关系。通过 LASSO 惩罚回归分析构建了一个 5 个铁死亡相关基因模型,以预测 TCGA 数据库中 LUSC 患者的预后,并在 GEO 和 TCGA 数据库中进行了验证。通过风险评分的中位数将患者分为高风险组和低风险组,前者的预后明显更差(P<0.001)。此外,我们通过 CIBERSORT 发现两组之间存在一定的免疫浸润关联。同时,使用正常组织和肿瘤组织之间的差异表达基因(DEGs)进行功能分析,在 TCGA 队列中发现与白细胞跨内皮迁移途径显著相关。此外,免疫细胞浸润分析证实,高风险组中 M2 巨噬细胞的表达明显升高。总体而言,铁死亡相关基因成功建立的模型表明,铁死亡可能与 LUSC 中的免疫浸润有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/827b/10019706/2ea84ae6caa1/pone.0282888.g001.jpg

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