Research and Early Development, Pharmaceuticals, Bayer AG, Müllerstr. 178, 13353 Berlin, Germany.
Int J Mol Sci. 2022 Jun 3;23(11):6281. doi: 10.3390/ijms23116281.
Cancer arises following alterations at different cellular levels, including genetic and epigenetic modifications, transcription and translation dysregulation, as well as metabolic variations. High-throughput omics technologies that allow one to identify and quantify processes involved in these changes are now available and have been instrumental in generating a wealth of steadily increasing data from patient tumors, liquid biopsies, and from tumor models. Extensive investigation and integration of these data have led to new biological insights into the origin and development of multiple cancer types and helped to unravel the molecular networks underlying this complex pathology. The comprehensive and quantitative analysis of a molecule class in a biological sample is named omics and large-scale omics studies addressing different prostate cancer stages have been performed in recent years. Prostate tumors represent the second leading cancer type and a prevalent cause of cancer death in men worldwide. It is a very heterogenous disease so that evaluating inter- and intra-tumor differences will be essential for a precise insight into disease development and plasticity, but also for the development of personalized therapies. There is ample evidence for the key role of the androgen receptor, a steroid hormone-activated transcription factor, in driving early and late stages of the disease, and this led to the development and approval of drugs addressing diverse targets along this pathway. Early genomic and transcriptomic studies have allowed one to determine the genes involved in prostate cancer and regulated by androgen signaling or other tumor-relevant signaling pathways. More recently, they have been supplemented by epigenomic, cistromic, proteomic and metabolomic analyses, thus, increasing our knowledge on the intricate mechanisms involved, the various levels of regulation and their interplay. The comprehensive investigation of these omics approaches and their integration into multi-omics analyses have led to a much deeper understanding of the molecular pathways involved in prostate cancer progression, and in response and resistance to therapies. This brings the hope that novel vulnerabilities will be identified, that existing therapies will be more beneficial by targeting the patient population likely to respond best, and that bespoke treatments with increased efficacy will be available soon.
癌症是在不同细胞水平发生改变的结果,包括遗传和表观遗传改变、转录和翻译失调以及代谢变化。现在已经有高通量组学技术可以识别和量化这些变化过程,并从患者肿瘤、液体活检和肿瘤模型中生成大量不断增加的数据。对这些数据的广泛研究和整合,为多种癌症类型的起源和发展提供了新的生物学见解,并有助于揭示这种复杂病理学的分子网络。对生物样本中一类分子的全面和定量分析称为组学,近年来已经对不同前列腺癌阶段进行了大规模的组学研究。前列腺肿瘤是第二大常见癌症类型,也是全球男性癌症死亡的主要原因。这是一种非常异质的疾病,因此评估肿瘤内和肿瘤间的差异对于深入了解疾病的发展和可塑性以及开发个性化治疗方法至关重要。有充分的证据表明,雄激素受体(一种类固醇激素激活的转录因子)在驱动疾病的早期和晚期阶段发挥关键作用,这导致了针对该途径中不同靶点的药物的开发和批准。早期的基因组和转录组研究使人们能够确定参与前列腺癌的基因,并确定受雄激素信号或其他肿瘤相关信号通路调控的基因。最近,这些研究又补充了表观基因组、染色质组、蛋白质组和代谢组学分析,从而增加了我们对涉及的复杂机制、各种调节水平及其相互作用的了解。对这些组学方法的全面研究及其整合到多组学分析中,使我们对前列腺癌进展以及对治疗的反应和耐药性所涉及的分子途径有了更深入的了解。这带来了新的希望,即通过确定新的脆弱性,针对最有可能有反应的患者群体来提高现有治疗方法的效果,以及开发更有效的定制治疗方法。