细胞周期蛋白 A2 在子宫内膜癌中的临床病理作用:组织芯片和 ScRNA 序列的整合。

Wei-jia Mo, Zi-Qian Liang, Jie-Zhuang Huang, Zhi-guang Huang, Zhi-Fu Zhi, Jun-Hong Chen, Gang Chen, J. Zeng, Zhen-bo Feng
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引用次数: 0

摘要

背景Cyclin A2(CCNA2)在子宫内膜癌(UCEC)中的综合表达水平和潜在的分子作用仍未被发现。方法收集来自内部和公共数据库的UCEC和正常子宫内膜组织,研究CCNA2的蛋白和信使RNA表达。Cistrome数据库鉴定了CCNA2的转录因子。通过单变量和多变量Cox回归以及Kaplan-Meier曲线分析评估了CCNA2在UCEC中的预后意义。结果共收集了32份内部UCEC和30份正常子宫内膜组织,以及720份UCEC和165份公共数据库中的对照样本。综合计算显示,CCNA2 在 UCEC 组织中表达上调(SMD = 2.43,95% 置信区间 2.23∼2.64)。由于在CCNA2的转录位点上存在结合峰,E2F1和FOXM1被确定为转录因子。CCNA2预示着UCEC的预后较差。然而,CCNA2并不是UCEC的独立预后因素。scRNA-seq分析揭示了五种细胞类型:UCEC中的B细胞、T细胞、单核细胞、自然杀伤细胞和上皮细胞。CCNA2主要在B细胞和T细胞中表达。此外,利用 AUCell 算法,CCNA2 在 T 细胞和 B 细胞中具有活性。CCNA2的过表达预示着UCEC的不良预后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clinicopathological role of Cyclin A2 in uterine corpus endometrial carcinoma: Integration of tissue microarrays and ScRNA-Seq.
BACKGROUND The comprehensive expression level and potential molecular role of Cyclin A2 (CCNA2) in uterine corpus endometrial carcinoma (UCEC) remains undiscovered. METHODS UCEC and normal endometrium tissues from in-house and public databases were collected for investigating protein and messenger RNA expression of CCNA2. The transcription factors of CCNA2 were identified by the Cistrome database. The prognostic significance of CCNA2 in UCEC was evaluated through univariate and multivariate Cox regression as well as Kaplan-Meier curve analysis. Single-cell RNA-sequencing (scRNA-seq) analysis was performed to explore cell types in UCEC, and the AUCell algorithm was used to investigate the activity of CCNA2 in different cell types. RESULTS A total of 32 in-house UCEC and 30 normal endometrial tissues as well as 720 UCEC and 165 control samples from public databases were eligible and collected. Integrated calculation showed that the CCNA2 expression was up-regulated in the UCEC tissues (SMD = 2.43, 95% confidence interval 2.23∼2.64). E2F1 and FOXM1 were identified as transcription factors due to the presence of binding peaks on transcription site of CCNA2. CCNA2 predicted worse prognosis in UCEC. However, CCNA2 was not an independent prognostic factor in UCEC. The scRNA-seq analysis disclosed five cell types: B cells, T cells, monocytes, natural killer cells, and epithelial cells in UCEC. The expression of CCNA2 was mainly located in B cells and T cells. Moreover, CCNA2 was active in T cells and B cells using the AUCell algorithm. CONCLUSION CCNA2 was up-regulated and mainly located in T cells and B cells in UCEC. Overexpression of CCNA2 predicted unfavorable prognosis of UCEC.
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