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衰老相关基因和非编码 RNA 在胰腺癌进展中发挥作用。

Senescence-associated genes and non-coding RNAs function in pancreatic cancer progression.

机构信息

Hefei National Laboratory for Physical Sciences at the Microscale, CAS Key Laboratory of Brain Function and Disease, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China , Hefei, Anhui, China.

The First Affiliated Hospital, Division of Life Sciences and Medicine, University of Science and Technology of China , Hefei, Anhui, China.

出版信息

RNA Biol. 2020 Nov;17(11):1693-1706. doi: 10.1080/15476286.2020.1719752. Epub 2020 Jan 30.

Abstract

Pancreatic cancer is a major cause of mortality with a poor diagnosis and prognosis that most often occurs in elderly patients. Few studies, however, focus on the interplay of age and pancreatic cancer at the transcriptional level. Here we evaluated the possible roles of age-dependent, differentially expressed genes (DEGs) in pancreatic cancer. These DEGs were used to construct a correlation network and clustered in six gene modules, among which two modules were highly correlated with patients' survival time. Integrating different datasets, including ATAC-Seq and ChIP-Seq, we performed multi-parallel analyses and identified eight age-dependent protein coding genes and two non-coding RNAs as potential candidates. These candidates, together with KLF5, a potent functional transcription factor in pancreatic cancer, are likely to be key elements linking cellular senescence and pancreatic cancer, providing insights on the balance between them, as well as on diagnosis and subsequent prognosis of pancreatic cancer.

摘要

胰腺癌是一种主要的致死原因,其诊断和预后较差,大多数情况下发生在老年患者中。然而,很少有研究关注转录水平上年龄和胰腺癌之间的相互作用。在这里,我们评估了年龄依赖性差异表达基因(DEGs)在胰腺癌中的可能作用。这些 DEGs 用于构建相关网络,并聚类成六个基因模块,其中两个模块与患者的生存时间高度相关。通过整合不同的数据集,包括 ATAC-Seq 和 ChIP-Seq,我们进行了多平行分析,确定了 8 个年龄依赖性的蛋白编码基因和 2 个非编码 RNA 作为潜在的候选物。这些候选物,以及在胰腺癌中具有强大功能的转录因子 KLF5,可能是连接细胞衰老和胰腺癌的关键因素,为它们之间的平衡以及胰腺癌的诊断和后续预后提供了见解。

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