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Multiplex bioimaging of single-cell spatial profiles for precision cancer diagnostics and therapeutics

机译:单细胞空间型材的多重生物模拟精密癌症诊断和治疗方法

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Cancers exhibit functional and structural diversity in distinct patients. In this mass, normal and malignant cells create tumor microenvironment that is heterogeneous among patients. A residue from primary tumors leaks into the bloodstream as cell clusters and single cells, providing clues about disease progression and therapeutic response. The complexity of these hierarchical microenvironments needs to be elucidated. Although tumors comprise ample cell types, the standard clinical technique is still the histology that is limited to a single marker. Multiplexed imaging technologies open new directions in pathology. Spatially resolved proteomic, genomic, and metabolic profiles of human cancers are now possible at the single-cell level. This perspective discusses spatial bioimaging methods to decipher the cascade of microenvironments in solid and liquid biopsies. A unique synthesis of top-down and bottom-up analysis methods is presented. Spatial multi-omics profiles can be tailored to precision oncology through artificial intelligence. Data-driven patient profiling enables personalized medicine and beyond.
机译:癌症在不同患者中表现出功能性和结构多样性。在这种质量中,正常和恶性细胞产生患者在非均相的肿瘤微环境。原发性肿瘤的残留物泄漏到血液中作为细胞簇和单细胞,提供关于疾病进展和治疗反应的线索。需要阐明这些分层微环境的复杂性。虽然肿瘤包括充足的细胞类型,但标准临床技术仍然是限于单个标记的组织学。多路复用成像技术在病理学中开放新方向。现在可以在单细胞水平下进行空间分离的蛋白质组学,基因组和代谢谱。该透视讨论了空间生物分析方法,以破译固体和液体活组织检查中的微环境级联。提出了独特的自上而下和自下而上分析方法的合成。空间多OMICS配置文件可以通过人工智能量身定制以精密肿瘤。数据驱动的患者分析使个性化药物及以后能够。

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