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纳米组学:基于纳米技术的血循环肿瘤组多维捕获

Nano-omics: nanotechnology-based multidimensional harvesting of the blood-circulating cancerome.

机构信息

Nanomedicine Lab, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.

Cancer Research UK Manchester Institute Cancer Biomarker Centre, The University of Manchester, Manchester, UK.

出版信息

Nat Rev Clin Oncol. 2022 Aug;19(8):551-561. doi: 10.1038/s41571-022-00645-x. Epub 2022 Jun 23.


DOI:10.1038/s41571-022-00645-x
PMID:35739399
Abstract

Over the past decade, the development of 'simple' blood tests that enable cancer screening, diagnosis or monitoring and facilitate the design of personalized therapies without the need for invasive tumour biopsy sampling has been a core ambition in cancer research. Data emerging from ongoing biomarker development efforts indicate that multiple markers, used individually or as part of a multimodal panel, are required to enhance the sensitivity and specificity of assays for early stage cancer detection. The discovery of cancer-associated molecular alterations that are reflected in blood at multiple dimensions (genome, epigenome, transcriptome, proteome and metabolome) and integration of the resultant multi-omics data have the potential to uncover novel biomarkers as well as to further elucidate the underlying molecular pathways. Herein, we review key advances in multi-omics liquid biopsy approaches and introduce the 'nano-omics' paradigm: the development and utilization of nanotechnology tools for the enrichment and subsequent omics analysis of the blood-circulating cancerome.

摘要

在过去的十年中,开发能够进行癌症筛查、诊断或监测的“简单”血液检测,并在无需进行侵入性肿瘤活检采样的情况下促进个性化治疗的设计,一直是癌症研究的核心目标。来自正在进行的生物标志物开发工作的数据表明,需要使用多个标记物,单独使用或作为多模态面板的一部分,以提高用于早期癌症检测的检测的灵敏度和特异性。在多个维度(基因组、表观基因组、转录组、蛋白质组和代谢组)中反映血液中癌症相关分子改变的发现,以及对所得多组学数据的整合,有可能发现新的生物标志物,并进一步阐明潜在的分子途径。在此,我们综述了多组学液体活检方法的主要进展,并介绍了“纳米组学”范例:用于富集和随后对血液循环肿瘤组进行组学分析的纳米技术工具的开发和利用。

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本文引用的文献

[1]
Detection of ovarian cancer via the spectral fingerprinting of quantum-defect-modified carbon nanotubes in serum by machine learning.

Nat Biomed Eng. 2022-3

[2]
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Nanoparticle-Enabled Enrichment of Longitudinal Blood Proteomic Fingerprints in Alzheimer's Disease.

ACS Nano. 2021-4-27

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Cancer Cell. 2021-4-12

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Methods for Proteogenomics Data Analysis, Challenges, and Scalability Bottlenecks: A Survey.

IEEE Access. 2021

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Sensitive and specific multi-cancer detection and localization using methylation signatures in cell-free DNA.

Ann Oncol. 2020-6

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