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欧米克技术改善乳腺癌研究和诊断

Arianna Orsini¹, Chiara Diquigiovanni¹, Elena Bonora¹

¹Department of Medical and Surgical Sciences (DIMEC), University of Bologna, 40131 Bologna, Italy.

International journal of molecular sciences

|August 26, 2023

概括

乳腺癌研究正在推进多组数据,整合液体活检和人工智能成像等技术. 这种方法增强了对瘤演变,治疗反应和患者对这种常见疾病的结果的理解.

科学领域:

瘤学和基因组学在
生物医学研究生物医学研究
癌症生物学癌症生物学

背景情况:

乳腺癌 (BC) 是全球诊断最多的癌症,导致显著的死亡率.
BC的复杂性源于其瘤微环境和细胞异质性,影响治疗疗效.
高通量测序的出现开启了生物医学研究中大规模的奥米克数据的时代.

研究的目的:

对乳腺癌应用的近期多学科研究成果进行审查.
提供关于OMIC技术及其在BC的应用的全面概述.
探索omics在了解BC表型,生物标志物,疗法,诊断和预后方面的潜力.

主要方法:

审查乳腺癌的多个omics研究.
介绍各种omics技术:液体活检,转录组学,表观组学,蛋白质组学,代谢组学,药物组学和AI成像.
分析不同BC表型,生物标志物,向疗法,诊断,治疗和预后的应用.

主要成果:

多omics方法对于破译乳腺癌复杂的生态系统至关重要.
这些技术提供了关于BC形成,演变和异质性的见解.
应用范围包括生物标志物发现,个性化治疗策略和改进的诊断/预后能力.

结论:

多omics数据集成正在改变乳腺癌研究和临床实践.
这些先进的技术对改善患者的治疗结果和开发新的治疗策略具有显著的前景.
在BC研究中继续探索omics对于推进精准医学至关重要.

关键词:

生物标志物生物标志物乳腺癌乳腺癌乳腺癌奥米克技术技术的技术.瘤异质性的异质性

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Genomics

Genomics

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