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基于数据驱动的循环肿瘤细胞外渗途径发现。

Data-Driven Discovery of Extravasation Pathway in Circulating Tumor Cells.

机构信息

Institute of Bioinformatics, International Technology Park, Whitefield, Bangalore, 560 066, India.

Manipal University, Madhav Nagar, Manipal, 576104, India.

出版信息

Sci Rep. 2017 Mar 6;7:43710. doi: 10.1038/srep43710.

Abstract

Circulating tumor cells (CTCs) play a crucial role in cancer dissemination and provide a promising source of blood-based markers. Understanding the spectrum of transcriptional profiles of CTCs and their corresponding regulatory mechanisms will allow for a more robust analysis of CTC phenotypes. The current challenge in CTC research is the acquisition of useful clinical information from the multitude of high-throughput studies. To gain a deeper understanding of CTC heterogeneity and identify genes, pathways and processes that are consistently affected across tumors, we mined the literature for gene expression profiles in CTCs. Through in silico analysis and the integration of CTC-specific genes, we found highly significant biological mechanisms and regulatory processes acting in CTCs across various cancers, with a particular enrichment of the leukocyte extravasation pathway. This pathway appears to play a pivotal role in the migration of CTCs to distant metastatic sites. We find that CTCs from multiple cancers express both epithelial and mesenchymal markers in varying amounts, which is suggestive of dynamic and hybrid states along the epithelial-mesenchymal transition (EMT) spectrum. Targeting the specific molecular nodes to monitor disease and therapeutic control of CTCs in real time will likely improve the clinical management of cancer progression and metastases.

摘要

循环肿瘤细胞(CTCs)在癌症转移中起着至关重要的作用,并为基于血液的标志物提供了有前途的来源。了解 CTC 的转录谱谱及其相应的调控机制,将允许对 CTC 表型进行更强大的分析。目前 CTC 研究的挑战是从大量高通量研究中获取有用的临床信息。为了更深入地了解 CTC 的异质性,并确定在肿瘤间普遍受到影响的基因、途径和过程,我们从 CTC 中的基因表达谱文献中进行挖掘。通过计算机分析和 CTC 特异性基因的整合,我们发现了在各种癌症的 CTC 中起重要作用的高度显著的生物学机制和调控过程,白细胞渗出途径特别丰富。该途径似乎在 CTC 向远处转移部位的迁移中起着关键作用。我们发现,来自多种癌症的 CTC 以不同的量表达上皮和间充质标志物,这表明在 EMT 谱中存在动态和混合状态。针对特定的分子节点来监测疾病,并实时控制 CTC 的治疗,可能会改善癌症进展和转移的临床管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5b2/5337960/0afb35013f61/srep43710-f1.jpg

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