Zhang Jiajun, Yin Jianhua, Heng Yang, Xie Ken, Chen Ao, Amit Ido, Bian Xiu-Wu, Xu Xun
BGI Research-Southwest, BGI, Chongqing 401329, China.
JFL-BGI STOmics Center, Jinfeng Laboratory, Chongqing 401329, China.
Life Med. 2022 Nov 14;1(2):84-102. doi: 10.1093/lifemedi/lnac053. eCollection 2022 Oct.
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.
当前精准医学的流程是利用组织形态学和分子信息来指示个体的表型和基因型,以实现最佳治疗效果。所检测到的突变和改变的知识很难描述最终可表现为疾病的分子相互作用和生物学过程。随着分子诊断改变疾病模式,精准医学呈现出一种趋势,即应用多组学和多维度信息来解读肿瘤的异质性、发病机制、预后等。新兴的时空组学技术为发现临床发病机制相关发现提供了新视角,其中一些显示出有望转化以促进临床实践的潜力。在此,我们总结了现有的时空组学技术和算法,突出了新的科学发现,并探索其在临床场景中的潜在应用。时空组学有能力推动重写临床病理学并回答悬而未决的临床问题。本综述强调了时空组学在优化临床精准医学格局方面的新视角。