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范式迷失。

Paradigm Lost.

作者信息

Mellor Jane, Hunter Ewan, Akoulitchev Alexandre

机构信息

Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK.

Oxford BioDynamics Plc, Oxford OX4 2WB, UK.

出版信息

Cancers (Basel). 2025 Jun 28;17(13):2187. doi: 10.3390/cancers17132187.

Abstract

: The 3-dimensional (3D) architecture of the genome in the nucleus of a living cell plays an unexpected yet fundamental regulatory role in cell biology. As an imprint of the cellular genetic, epigenetic and metabolic status, it discriminates pathological conditions through conditional changes to long-range 3D interactions (up to 300 kb) and thus could act as a powerful molecular biomarker linked closely to clinical outcomes. : Here an assessment is made of the latest paradigm shift in molecular biology from a supply chain where information flows from DNA to RNA to protein, to the concept of heritable 3D folding of the genome reflecting the epigenetic and metabolic state of the cell, and which serves as a molecular biomarker for complex clinical outcome. : While biomarkers based on individual components of the supply chain fail to accurately reflect clinical outcomes, 3D genomics offers highly informative insights, exemplified for immuno-oncology and prostate cancer diagnosis by clinical tests of superior performance, already in practice in the US and UK. : A more complete understanding of human biology will require models that account for the flow of information to and from the 3D genomic architecture in living cells, together with its regulation and logic. Integrating these principles into biomarker discovery and therapeutic design, along with other frontline approaches in precision medicine, including multi-omics and other system-level tools, will be essential for advancing precision medicine beyond its current limitations.

摘要

活细胞细胞核中基因组的三维(3D)结构在细胞生物学中发挥着意想不到却至关重要的调节作用。作为细胞遗传、表观遗传和代谢状态的印记,它通过长程3D相互作用(长达300 kb)的条件性变化来区分病理状况,因此可作为与临床结果紧密相关的强大分子生物标志物。

在此,对分子生物学中最新的范式转变进行了评估,即从信息从DNA流向RNA再流向蛋白质的供应链模式,转变为反映细胞表观遗传和代谢状态的基因组可遗传3D折叠概念,且该概念可作为复杂临床结果的分子生物标志物。

虽然基于供应链单个组件的生物标志物无法准确反映临床结果,但3D基因组学提供了极具信息量的见解,美国和英国已在实践中的卓越性能临床试验为例,说明了其在免疫肿瘤学和前列腺癌诊断中的应用。

要更全面地理解人类生物学,需要建立能够解释活细胞中3D基因组结构信息流入和流出及其调控和逻辑的模型。将这些原理整合到生物标志物发现和治疗设计中,以及精准医学中的其他前沿方法,包括多组学和其他系统层面的工具,对于突破精准医学目前的局限至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8cc/12249029/67c2d916e93c/cancers-17-02187-g001.jpg

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