de Back Tim R, van Hooff Sander R, Sommeijer Dirkje W, Vermeulen Louis
Cancer Center Amsterdam, Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands; Amsterdam Gastroenterology Endocrinology Metabolism, Laboratory for Experimental Oncology and Radiobiology, Center for Experimental and Molecular Medicine, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands; Oncode Institute, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
Flevohospital, Department of Internal Medicine, Hospitaalweg 1, 1315 RA, Almere, The Netherlands.
Trends Cancer. 2024 Sep;10(9):842-856. doi: 10.1016/j.trecan.2024.06.007. Epub 2024 Jul 16.
Gastrointestinal (GI) cancers are highly heterogeneous at multiple levels. Tumor heterogeneity can be captured by molecular profiling, such as genetic, epigenetic, proteomic, and transcriptomic classification. Transcriptomic subtyping has the advantage of combining genetic and epigenetic information, cancer cell-intrinsic properties, and the tumor microenvironment (TME). Unsupervised transcriptomic subtyping systems of different GI malignancies have gained interest because they reveal shared biological features across cancers and bear prognostic and predictive value. Importantly, transcriptomic subtypes accurately reflect complex phenotypic states varying not only per tumor region, but also throughout disease progression, with consequences for clinical management. Here, we discuss methodologies of transcriptomic subtyping, proposed taxonomies for GI malignancies, and the challenges posed to clinical implementation, highlighting opportunities for future transcriptomic profiling efforts to optimize clinical impact.
胃肠道(GI)癌症在多个层面上具有高度异质性。肿瘤异质性可以通过分子谱分析来捕捉,如基因、表观遗传、蛋白质组和转录组分类。转录组亚型分析具有整合基因和表观遗传信息、癌细胞内在特性以及肿瘤微环境(TME)的优势。不同胃肠道恶性肿瘤的无监督转录组亚型分析系统已引起关注,因为它们揭示了不同癌症之间共有的生物学特征,并具有预后和预测价值。重要的是,转录组亚型准确反映了不仅因肿瘤区域而异,而且在疾病进展过程中也会变化的复杂表型状态,这对临床管理具有影响。在此,我们讨论转录组亚型分析的方法、针对胃肠道恶性肿瘤提出的分类法以及临床实施所面临的挑战,强调未来转录组分析工作优化临床影响的机会。