Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, UK.
School of Clinical Medicine, University of Cambridge, UK.
Mol Oncol. 2024 Sep;18(9):2065-2069. doi: 10.1002/1878-0261.13707. Epub 2024 Aug 7.
Genomic medicine has transformed the lives of patients with cancer by enabling individualised and evidence-based clinical decision-making. Despite this progress, the implementation of precision cancer medicine is limited by its dependence on isolated biomarkers. The development of bulk and single-cell multiomic technologies has revealed the enormous complexity of the cancer ecosystem. Beyond the cancer cell, the tumour microenvironment, macroenvironment and host factors, including the microbiome, profoundly influence the cancer phenotype, and accounting for these enhances the resolution of precision medicine. The advent of robust multiomic profiling and interpretable machine learning algorithms mark the dawn of a new postgenomic era of personalised cancer medicine. In Precision Cancer Medicine 2.0, high-resolution personalised clinical decision-making is informed by the comprehensive multiomic profiling of tumour and host, integrated using artificial intelligence.
基因组医学通过实现个体化和基于证据的临床决策,改变了癌症患者的生活。尽管取得了这一进展,但精准癌症医学的实施受到其对孤立生物标志物的依赖的限制。批量和单细胞多组学技术的发展揭示了癌症生态系统的巨大复杂性。除了癌细胞,肿瘤微环境、宏环境和宿主因素,包括微生物组,深刻影响着癌症表型,考虑到这些因素可以提高精准医学的分辨率。强大的多组学分析和可解释的机器学习算法的出现标志着个性化癌症医学的后基因组时代的到来。在精准癌症医学 2.0 中,通过对肿瘤和宿主的全面多组学分析,并利用人工智能进行整合,为高分辨率的个体化临床决策提供信息。