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
中科院分区:
文献类型:
--
作者:
Chen Y;Lee K;Liang Y;Qin S;Zhu Y;Liu J;Yao S
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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影响因子:
7.3
作者:
Gao J;Aksoy BA;Dogrusoz U;Dresdner G;Gross B;Sumer SO;Sun Y;Jacobsen A;Sinha R;Larsson E;Cerami E;Sander C;Schultz N
通讯作者:
Schultz N
DOI:
10.1007/s00432-004-0555-x
发表时间:
2004-08-01
影响因子:
3.6
作者:
Ji, JF;Zhao, LQ;Liu, ZH
通讯作者:
Liu, ZH
影响因子:
8.4
作者:
Kang, Phil Jun;Zheng, Jie;You, Seungkwon
通讯作者:
You, Seungkwon
影响因子:
5.2
作者:
Jiang, Jianwen;Zheng, Qiuxian;Zheng, Shusen
通讯作者:
Zheng, Shusen
影响因子:
17.1
作者:
Kinde I;Bettegowda C;Wang Y;Wu J;Agrawal N;Shih IeM;Kurman R;Dao F;Levine DA;Giuntoli R;Roden R;Eshleman JR;Carvalho JP;Marie SK;Papadopoulos N;Kinzler KW;Vogelstein B;Diaz LA Jr
通讯作者:
Diaz LA Jr