Excavating the pathogenic gene of breast cancer based on high throughput data of tumor and somatic reprogramming
Excavating the pathogenic gene of breast cancer based on high throughput data of tumor and somatic reprogramming
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基于肿瘤和体细胞重编程高通量数据挖掘乳腺癌致病基因
DOI：
10.1080/15384101.2021.1961410
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发表时间：
2021-08
期刊：
影响因子：
4.3
通讯作者：
Jingling Shen
中科院分区：
文献类型：
--
作者：
Lian Duan;Zhendong Wang;Xin Zheng;Junjian Li;Huamin Yin;Weibo Tang;Dejian Deng;Hui Liu;Jiayu Wei;Yan Jin;Feng Liu;Jingling Shen
乳腺癌是女性最常见的恶性肿瘤之一，死亡率高。体细胞重编程与肿瘤发生机制有一定的相似性。在这里，我们专注于基因表达，信号通路和功能之间的关系在BC相比，诱导多能干细胞（iPSC）。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）。通过Kaplan-Meier生存分析和单因素方差分析，我们发现22个DEG与临床病理特征和预后显著相关。肿瘤干细胞（Mcfips）的蛋白质质谱分析结果表明，其中8个DEG编码的蛋白质也存在差异表达。功能富集分析表明，30个DEG中的大多数与胶原和染色质功能有关。我们的研究结果可能为进一步研究肿瘤发生和发展的机制提供靶点，为BC的基础研究和临床应用提供有价值的数据。
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.
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影响因子：
10.5
作者：
Morgan MA;Shilatifard A
通讯作者：
Shilatifard A
DOI：
10.1891/9780826121646.0002
发表时间：
2018-09
期刊：
Cancer Rehabilitation
影响因子：
--
作者：
K. Miller;R. Siegel;R. Khan;A. Jemal
通讯作者：
K. Miller;R. Siegel;R. Khan;A. Jemal
影响因子：
2.9
作者：
Lu H;Zhu H
通讯作者：
Zhu H
DOI：
10.1186/s13046-015-0150-9
发表时间：
2015-05-15
期刊：
Journal of experimental & clinical cancer research : CR
影响因子：
--
作者：
Madhavan S;Gusev Y;Singh S;Riggins RB
通讯作者：
Riggins RB
影响因子：
16.6
作者：
Takahashi, Ryou-u;Miyazaki, Hiroaki;Takeshita, Fumitaka;Yamamoto, Yusuke;Minoura, Kaho;Ono, Makiko;Kodaira, Makoto;Tamura, Kenji;Mori, Masaki;Ochiya, Takahiro
通讯作者：
Ochiya, Takahiro