泛癌分析确定了……在人类癌症中的致癌作用。（原文中“of”后面缺失具体内容）

Pan-cancer analysis identifies the oncogenic role of in human cancers.

作者信息

Ouyang Yujie, Wu Ziyi, Aili Dilihumaer, Yang Chunhua, Zhang Hui, Wu Tong

机构信息

Department of Dermatology, The Third Xiangya Hospital of Central South University, Changsha, Hunan 410013, China.

Department of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China.

出版信息

Aging (Albany NY). 2024 Nov 25;16(21):13392-13408. doi: 10.18632/aging.206163.

DOI:10.18632/aging.206163

PMID:39591374

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11719100/

Abstract

OBJECTIVE

To investigate expression, prognosis, immune cell infiltration of C () in cancer.

METHODS

We used TIMER and GEPIA datasets to analyze the differential expression of in multiple tumors. GEPIA and Kaplan-Meier plotter databases were utilized to observe the prognostic significance of in cancer. TIMER and cBioPortal databases were adopted for the analysis regarding immune infiltration and mutation respectively.

RESULTS

The results showed that was highly expressed in multiple cancers including BLCA, BRCA, CHOL, COAD, ESCA, HNSC, KICH, KIRC, KIRP, LIHC, LUAD, LUSC, READ, STAD, THCA, UCEC ( < 0.001) and CESC ( < 0.01). High expression was associated with a poor overall survival prognosis in several cancers, including ACC, BRCA, KIRC, KIRP, LGG, LIHC, LUAD and MESO. Additionally, expression was correlated with the cancer-associated immune infiltration level in BRCA, COAD, LUSC, STAD and THYM.

CONCLUSIONS

is expected to be a potential biomarker for tumor prognosis and immune infiltration in various cancers.

摘要

目的

研究C（）在癌症中的表达、预后及免疫细胞浸润情况。

方法

我们使用TIMER和GEPIA数据集分析多种肿瘤中的差异表达。利用GEPIA和Kaplan-Meier plotter数据库观察在癌症中的预后意义。分别采用TIMER和cBioPortal数据库进行免疫浸润和突变分析。

结果

结果显示，在包括BLCA、BRCA、CHOL、COAD、ESCA、HNSC、KICH、KIRC、KIRP、LIHC、LUAD、LUSC、READ、STAD、THCA、UCEC（<0.001）和CESC（<0.01）在内的多种癌症中高表达。在几种癌症中高表达与总体生存预后不良相关，包括ACC、BRCA、KIRC、KIRP、LGG、LIHC、LUAD和MESO。此外，在BRCA、COAD、LUSC、STAD和THYM中与癌症相关的免疫浸润水平相关。