■脑肿瘤是复杂且异质性的恶性肿瘤,在诊断方面存在重大挑战,预后,和治疗。蛋白质组学,对蛋白质及其功能的大规模研究,已成为全面研究脑肿瘤调节的分子机制的有力工具。
■这篇综述从蛋白质组学的角度探讨了脑肿瘤,强调通过蛋白质组学方法获得的最新进展和见解。它深入研究了所采用的蛋白质组学技术,并强调了早期检测的潜在生物标志物,预后,和治疗计划。最近的PubMed中心蛋白质组学研究(2017年至今)进行了讨论,总结蛋白质表达改变的发现,翻译后的变化,和蛋白质相互作用。这揭示了脑肿瘤信号通路及其在创新治疗方法中的意义。
蛋白质组学为脑肿瘤的诊断和治疗提供了巨大的潜力。为了释放它的全部好处,进一步的转化研究至关重要。将蛋白质组学与其他组学数据相结合可以增强我们对脑肿瘤的掌握。验证和翻译蛋白质组生物标志物对于更好的患者结果至关重要。挑战包括肿瘤的复杂性,缺乏精选的蛋白质组数据库,以及研究人员和临床医生之间合作的必要性。克服这些挑战需要投资于技术,数据共享,翻译研究。
脑肿瘤是复杂多样的癌症类型,对其诊断提出了重大挑战。预后,和治疗。蛋白质组学,一个专注于大规模研究蛋白质及其功能的领域,已经成为理解脑肿瘤在分子水平上如何工作的强大工具。在这次审查中,我们对蛋白质组学在脑肿瘤调控研究中的作用进行了详细的研究,讨论从蛋白质组学技术中获得的最新进展和见解。我们探索了各种基于质谱的蛋白质组学方法,这有助于揭示与脑肿瘤相关的独特蛋白质模式。通过分析蛋白质表达的变化,修改,互动,和细胞内的位置,研究人员已经获得了关于脑肿瘤潜在机制的重要知识。蛋白质组学在识别潜在的生物标志物以进行早期检测方面也起着至关重要的作用。预测患者结果,并开发靶向治疗和免疫疗法。然而,仍然有挑战需要克服,例如集成来自不同的“组学”字段的数据,标准化协议和分析程序,并利用人工智能来解释复杂的蛋白质组数据。我们需要更有力的尝试来验证和翻译所有这些发现,以使患者受益。
Brain tumors are complex and heterogeneous malignancies with significant challenges in diagnosis, prognosis, and therapy. Proteomics, the large-scale study of proteins and their functions, has emerged as a powerful tool to comprehensively investigate the molecular mechanisms underlying brain tumor regulation.
This review explores brain tumors from a proteomic standpoint, highlighting recent progress and insights gained through proteomic methods. It delves into the proteomic techniques employed and underscores potential biomarkers for early detection, prognosis, and treatment planning. Recent PubMed Central proteomic studies (2017-present) are discussed, summarizing findings on altered protein expression, post-translational changes, and protein interactions. This sheds light on brain tumor signaling pathways and their significance in innovative therapeutic approaches.
Proteomics offers immense potential for revolutionizing brain tumor diagnosis and therapy. To unlock its full benefits, further translational research is crucial. Combining proteomics with other omics data enhances our grasp of brain tumors. Validating and translating proteomic biomarkers are vital for better patient results. Challenges include tumor complexity, lack of curated proteomic databases, and the need for collaboration between researchers and clinicians. Overcoming these challenges requires investment in technology, data sharing, and translational research.
Brain tumors are complex and diverse types of cancer that present significant challenges in their diagnosis, prognosis, and treatment. Proteomics, a field that focuses on studying proteins and their functions on a large scale has emerged as a powerful tool for understanding how brain tumors work at the molecular level. In this review, we offer a detailed look into the role of proteomics in studying brain tumor regulation, discussing recent advancements and insights gained from proteomic techniques. We explore various mass spectrometry-based proteomic methods, which help uncover unique protein patterns associated with brain tumors. By analyzing changes in protein expression, modifications, interactions, and location within cells, researchers have gained important knowledge about the underlying mechanisms of brain tumors. Proteomics also plays a crucial role in identifying potential biomarkers for early detection, predicting patient outcomes, and developing targeted therapies and immunotherapies. However, there are still challenges to overcome, such as integrating data from different ‘omics’ fields, standardizing protocols and analysis procedures and utilizing artificial intelligence to interpret complex proteomic data. We require more robust attempts at validating and translating all these findings for patient benefit.