Gholami Nasrin, Haghparast Amin, Alipourfard Iraj, Nazari Majid
Hematology and Oncology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
GenomeFan, Tehran, Iran.
Cancer Cell Int. 2022 Sep 5;22(1):274. doi: 10.1186/s12935-022-02691-y.
Recent advances in omics technology have prompted extraordinary attempts to define the molecular changes underlying the onset and progression of a variety of complex human diseases, including cancer. Since the advent of sequencing technology, cancer biology has become increasingly reliant on the generation and integration of data generated at these levels. The availability of multi-omic data has transformed medicine and biology by enabling integrated systems-level approaches. Multivariate signatures are expected to play a role in cancer detection, screening, patient classification, assessment of treatment response, and biomarker identification. This review reports current findings and highlights a number of studies that are both novel and groundbreaking in their application of multi Omics to prostate cancer.
组学技术的最新进展促使人们做出非凡努力,以确定包括癌症在内的多种复杂人类疾病的发生和发展背后的分子变化。自测序技术问世以来,癌症生物学越来越依赖于在这些层面上生成和整合数据。多组学数据的可用性通过启用综合系统层面的方法改变了医学和生物学。多变量特征有望在癌症检测、筛查、患者分类、治疗反应评估和生物标志物识别中发挥作用。本综述报告了当前的研究结果,并重点介绍了一些在将多组学应用于前列腺癌方面既新颖又具有开创性的研究。