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Excavating the pathogenic gene of breast cancer based on high throughput data of tumor and somatic reprogramming
Cell Cycle ( IF 3.4 ) Pub Date : 2021-08-13 , DOI: 10.1080/15384101.2021.1961410
Lian Duan 1, 2 , Zhendong Wang 3 , Xin Zheng 1, 4, 5 , Junjian Li 1, 4, 5 , Huamin Yin 1, 4, 5 , Weibo Tang 4, 5, 6 , Dejian Deng 4, 5, 6 , Hui Liu 6 , Jiayu Wei 7 , Yan Jin 8, 9 , Feng Liu 2 , Jingling Shen 4, 5
Affiliation  

ABSTRACT

Breast cancer (BC) is one of the most common malignancies in female, and has a high mortality rate. The mechanisms of tumorigenesis and reprogramming of somatic cells have a certain degree of similarity. Here, we focus on the relationship between gene expression, signaling pathways and functions in BC compared to induced pluripotent stem cells (iPSCs). We first identified differentially expressed genes (DEGs) common to BC and iPSCs in datasets from GEO and TCGA. We found 22 DEGs that were significantly associated with clinicopathological features and prognosis by performing Kaplan-Meier survival analysis and one-way ANOVA. The results of protein mass spectrometry of tumor stem cells (Mcfips) demonstrated that the proteins encoded by 8 of these DEGs were also differentially expressed. The functional enrichment analysis showed that most of the 30 DEGs were related to collagen and chromatin functions. Our results might offer targets for future studies into the mechanisms underlying tumor occurrence and progression, and our studies could provide valuable data for both basic research and clinical applications of BC.



中文翻译:

基于肿瘤高通量数据和体细胞重编程挖掘乳腺癌致病基因

摘要

乳腺癌(BC)是女性最常见的恶性肿瘤之一,死亡率很高。体细胞的肿瘤发生机制和重编程机制具有一定的相似性。在这里,我们关注与诱导多能干细胞 (iPSC) 相比,BC 中基因表达、信号通路和功能之间的关系。我们首先在来自 GEO 和 TCGA 的数据集中鉴定了 BC 和 iPSC 共有的差异表达基因 (DEG)。我们通过进行 Kaplan-Meier 生存分析和单向方差分析,发现了 22 个与临床病理学特征和预后显着相关的 DEG。肿瘤干细胞(Mcfips)的蛋白质质谱结果表明,这些DEGs中的8个编码的蛋白质也有差异表达。功能富集分析表明,30个DEG中的大部分都与胶原蛋白和染色质功能有关。我们的研究结果可能为未来研究肿瘤发生和进展的机制提供目标,我们的研究可以为BC的基础研究和临床应用提供有价值的数据。

更新日期:2021-09-28
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