Spatiotemporal Omics-Refining the landscape of precision medicine.

Life medicine Pub Date : 2022-11-14 eCollection Date: 2022-10-01 DOI:10.1093/lifemedi/lnac053
Jiajun Zhang, Jianhua Yin, Yang Heng, Ken Xie, Ao Chen, Ido Amit, Xiu-Wu Bian, Xun Xu
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引用次数: 0

Abstract

Current streamline of precision medicine uses histomorphological and molecular information to indicate individual phenotypes and genotypes to achieve optimal outcome of treatment. The knowledge of detected mutations and alteration can hardly describe molecular interaction and biological process which can finally be manifested as a disease. With molecular diagnosis revising the modalities of disease, there is a trend in precision medicine to apply multiomic and multidimensional information to decode tumors, regarding heterogeneity, pathogenesis, prognosis, etc. Emerging state-of-art spatiotemporal omics provides a novel vision for in discovering clinicopathogenesis associated findings, some of which show a promising potential to be translated to facilitate clinical practice. Here, we summarize the available spatiotemporal omic technologies and algorithms, highlight the novel scientific findings and explore potential applications in the clinical scenario. Spatiotemporal omics present the ability to provide impetus to rewrite clinical pathology and to answer outstanding clinical questions. This review emphasizes the novel vision of spatiotemporal omics to refine the landscape of precision medicine in the clinic.

时空奥密克戎提炼精准医学版图
目前精准医学的流程使用组织形态学和分子信息来指示个体表型和基因型,以实现最佳治疗结果。检测到的突变和改变的知识很难描述最终表现为疾病的分子相互作用和生物学过程。随着分子诊断对疾病模式的修正,精准医学有一种趋势,即应用多组学和多维信息来解码肿瘤,包括异质性、发病机制、预后等。新兴的时空组学为发现临床病理学相关发现提供了新的视角,其中一些显示出被翻译以促进临床实践的有希望的潜力。在这里,我们总结了可用的时空经济学技术和算法,强调了新的科学发现,并探索了在临床场景中的潜在应用。时空组学能够为改写临床病理学和回答悬而未决的临床问题提供动力。这篇综述强调了时空组学的新视野,以提炼临床中精准医学的景观。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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