The Persian Gulf Nuclear Medicine Research Center, Department of Molecular Imaging and Radionuclide Therapy (MIRT), Bushehr Medical University Hospital, School of Medicine, Bushehr University of Medical Sciences, Bushehr, Iran.
Laboratory of Computational Biotechnology and Bioinformatics (CBB), Department of Plant Breeding and Biotechnology (PBB), Faculty of Agriculture, University of Zabol, Zabol, Iran.
Curr Pharm Des. 2020;26(31):3783-3798. doi: 10.2174/1381612826666200218104921.
Prostate cancer is the most prevalent type of cancer and the second cause of death in men worldwide. Various diagnostic and treatment procedures are available for this type of malignancy, but High-grade or locally advanced prostate cancers showed the potential to develop to lethal phase that can be causing dead. Therefore, new approaches are needed to prolong patients' survival and to improve their quality of life. Precision medicine is a novel emerging field that plays an essential role in identifying new sub-classifications of diseases and in providing guidance in treatment that is based on individual multi-omics data. Multi-omics approaches include the use of genomics, transcriptomics, proteomics, metabolomics, epigenomics and phenomics data to unravel the complexity of a disease-associated biological network, to predict prognostic biomarkers, and to identify new targeted drugs for individual cancer patients. We review the impact of multi-omics data in the framework of systems biology in the era of precision medicine, emphasising the combination of molecular imaging modalities with highthroughput techniques and the new treatments that target metabolic pathways involved in prostate cancer.
前列腺癌是全球范围内最常见的癌症类型和男性死亡的第二大原因。针对这种恶性肿瘤，有各种诊断和治疗程序可用，但高级别或局部晚期前列腺癌有发展为致命阶段的潜力，这可能导致死亡。因此，需要新的方法来延长患者的生存时间并提高他们的生活质量。精准医学是一个新兴的领域，它在确定疾病的新亚分类和提供基于个体多组学数据的治疗指导方面发挥着重要作用。多组学方法包括使用基因组学、转录组学、蛋白质组学、代谢组学、表观基因组学和表型组学数据来揭示与疾病相关的生物网络的复杂性，预测预后生物标志物，并为个体癌症患者确定新的靶向药物。我们综述了多组学数据在精准医学时代系统生物学框架中的作用，强调了将分子成像模式与高通量技术相结合，以及针对涉及前列腺癌的代谢途径的新治疗方法。
