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转录组分析揭示与乳腺癌转移相关的关键基因和通路。

Transcriptome Analysis Reveals Key Genes and Pathways Associated with Metastasis in Breast Cancer.

作者信息

Li Wei, Liu Jianling, Zhang Bin, Bie Qingli, Qian Hui, Xu Wenrong

机构信息

Key Laboratory of Laboratory Medicine of Jiangsu Province, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, People's Republic of China.

Central Lab, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei, People's Republic of China.

出版信息

Onco Targets Ther. 2020 Jan 13;13:323-335. doi: 10.2147/OTT.S226770. eCollection 2020.

Abstract

BACKGROUND

Metastasis is the major cause of death in breast cancer patients. Although the strategies targeting metastasis have promoted survival, the underlying mechanisms still remain unclear. In this study, we used microarray data of primary breast tumor, tumor derived from bone and liver, and skin metastatic tissue, to identify the key genes and pathways that are involved in metastasis in breast cancer.

METHODS

We first calculated the differentially expressed genes (DEGs) between three metastatic tissues and primary tumor tissue, and then used it to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Further, we analyzed the correlation of genes enriched in GO terms and KEGG pathways with survival of breast cancer patients. To identify the key genes and pathways associated with metastasis, we overlapped the DEGs and KEGG pathways. In our in vitro experiments, we knocked down the key gene, , and detected the PI3K expression in tumor cells to evaluate their effect on tumor metastasis.

RESULTS

We identified six genes () that correlated with survival. Seven key genes () and seven signaling pathways (metabolic pathways, phagosome pathway, PI3K-AKT signaling pathway, focal adhesion, ECM-receptor interaction, pancreatic secretion, human papillomavirus infection) associated with metastasis were also identified. Our in vitro experiments revealed that was highly expressed in MDA-MB231 cells compared to MCF-7 cells. Moreover, knockdown of increased apoptosis, while inhibiting the proliferation, invasion, and migration ability of breast cancer cells. The PI3K/AKT signaling pathway was also found to be highly expressed in MDA-MB231 cells.

CONCLUSION

Our results reveal the key genes and signaling pathways that contribute to metastasis, and highlight that strategic targeting of and PI3K/AKT signaling pathways could inhibit metastasis of breast cancer.

摘要

背景

转移是乳腺癌患者死亡的主要原因。尽管针对转移的策略提高了生存率,但其潜在机制仍不清楚。在本研究中,我们使用原发性乳腺肿瘤、骨和肝来源的肿瘤以及皮肤转移组织的微阵列数据,以鉴定参与乳腺癌转移的关键基因和通路。

方法

我们首先计算三种转移组织与原发性肿瘤组织之间的差异表达基因(DEG),然后用其进行基因本体论(GO)和京都基因与基因组百科全书(KEGG)通路富集分析。此外,我们分析了在GO术语和KEGG通路中富集的基因与乳腺癌患者生存率的相关性。为了鉴定与转移相关的关键基因和通路我们将DEG与KEGG通路进行了重叠分析。在我们的体外实验中,我们敲低关键基因,并检测肿瘤细胞中的PI3K表达,以评估它们对肿瘤转移的影响。

结果

我们鉴定出六个与生存相关的基因( )。还鉴定出七个与转移相关的关键基因( )和七个信号通路(代谢通路、吞噬体通路、PI3K-AKT信号通路、粘着斑、细胞外基质-受体相互作用、胰腺分泌、人乳头瘤病毒感染)。我们的体外实验表明,与MCF-7细胞相比, 在MDA-MB231细胞中高表达。此外,敲低 可增加细胞凋亡,同时抑制乳腺癌细胞的增殖、侵袭和迁移能力。还发现PI3K/AKT信号通路在MDA-MB231细胞中高表达。

结论

我们的结果揭示了促成转移的关键基因和信号通路,并强调对 和PI3K/AKT信号通路的策略性靶向可能抑制乳腺癌转移。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6653/6968804/61f47afb45e6/OTT-13-323-g0001.jpg

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