Xu Zishan, Li Wei, Dong Xiangyang, Chen Yingying, Zhang Dan, Wang Jingnan, Zhou Lin, He Guoyang
Department of Pathology, Xinxiang Medical University, Xinxiang 453000, China.
School of Forensic Medicine, Xinxiang Medical University, Xinxiang 453000, China.
Clin Chim Acta. 2024 Jun 1;559:119686. doi: 10.1016/j.cca.2024.119686. Epub 2024 Apr 23.
Colorectal cancer (CRC) is a leading cause of cancer-related deaths. Recent advancements in genomic technologies and analytical approaches have revolutionized CRC research, enabling precision medicine. This review highlights the integration of multi-omics, spatial omics, and artificial intelligence (AI) in advancing precision medicine for CRC. Multi-omics approaches have uncovered molecular mechanisms driving CRC progression, while spatial omics have provided insights into the spatial heterogeneity of gene expression in CRC tissues. AI techniques have been utilized to analyze complex datasets, identify new treatment targets, and enhance diagnosis and prognosis. Despite the tumor's heterogeneity and genetic and epigenetic complexity, the fusion of multi-omics, spatial omics, and AI shows the potential to overcome these challenges and advance precision medicine in CRC. The future lies in integrating these technologies to provide deeper insights and enable personalized therapies for CRC patients.
结直肠癌(CRC)是癌症相关死亡的主要原因。基因组技术和分析方法的最新进展彻底改变了CRC研究,推动了精准医学的发展。本综述重点介绍了多组学、空间组学和人工智能(AI)在推进CRC精准医学方面的整合。多组学方法揭示了驱动CRC进展的分子机制,而空间组学则深入了解了CRC组织中基因表达的空间异质性。AI技术已被用于分析复杂数据集、识别新的治疗靶点以及改善诊断和预后。尽管肿瘤具有异质性以及遗传和表观遗传复杂性,但多组学、空间组学和AI的融合显示出克服这些挑战并推进CRC精准医学的潜力。未来在于整合这些技术,以提供更深入的见解并为CRC患者实现个性化治疗。