A Cholesterol Homeostasis-Related Gene Signature Predicts Prognosis of Endometrial Cancer and Correlates With Immune Infiltration.

A Cholesterol Homeostasis-Related Gene Signature Predicts Prognosis of Endometrial Cancer and Correlates With Immune Infiltration.
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胆固醇稳态相关基因特征可预测子宫内膜癌的预后并与免疫浸润相关

DOI:
10.3389/fgene.2021.763537
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发表时间:
2021
影响因子:
3.7
通讯作者:
Yao S
Yao S
中科院分区:
生物学3区
文献类型:
--
作者:
Chen Y;Lee K;Liang Y;Qin S;Zhu Y;Liu J;Yao S

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背景:子宫内膜癌(Endometrial cancer,EC)是妇科最常见的恶性肿瘤之一。胆固醇代谢已被证实与肿瘤的增殖、侵袭和转移密切相关。然而,胆固醇稳态相关基因与食管癌预后的关系尚不清楚。方法:将来自癌症基因组图谱(TCGA)数据库的EC患者随机分为训练队列和测试队列。采用转录组分析、单变量生存分析和LASSO考克斯回归分析从训练队列中构建胆固醇稳态相关基因标签。随后,使用Kaplan-Meier(KM)图、受试者操作特征(ROC)曲线和主成分分析(PCA)来验证基因签名在两个队列中的预测性能。此外,对两个危险组之间的差异表达基因(DEG)进行富集分析和免疫浸润分析。结果:选择了7个胆固醇稳态相关基因建立基因签名。KM图、ROC曲线和两个队列的主成分分析表明,基因签名是一个有效的独立预后指标。富集分析和免疫浸润分析表明,高危组普遍存在免疫浸润细胞和免疫功能低下。结论:我们构建并验证了一个胆固醇稳态相关的基因标签,以预测EC的预后,这与免疫浸润相关,并有望帮助EC的诊断和精确治疗。
Background: Endometrial cancer (EC) is one of the most common gynecological malignancies in women. Cholesterol metabolism has been confirmed to be closely related to tumor proliferation, invasion and metastasis. However, the correlation between cholesterol homeostasis-related genes and prognosis of EC remains unclear. Methods: EC patients from the Cancer Genome Atlas (TCGA) database were randomly divided into training cohort and test cohort. Transcriptome analysis, univariate survival analysis and LASSO Cox regression analysis were adopted to construct a cholesterol homeostasis-related gene signature from the training cohort. Subsequently, Kaplan-Meier (KM) plot, receiver operating characteristic (ROC) curve and principal component analysis (PCA) were utilized to verify the predictive performance of the gene signature in two cohorts. Additionally, enrichment analysis and immune infiltration analysis were performed on differentially expressed genes (DEGs) between two risk groups. Results: Seven cholesterol homeostasis-related genes were selected to establish a gene signature. KM plot, ROC curve and PCA in two cohorts demonstrated that the gene signature was an efficient independent prognostic indicator. The enrichment analysis and immune infiltration analysis indicated that the high-risk group generally had lower immune infiltrating cells and immune function. Conclusion: We constructed and validated a cholesterol homeostasis-related gene signature to predict the prognosis of EC, which correlated to immune infiltration and expected to help the diagnosis and precision treatment of EC.
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