Division of Liver Diseases, Liver Cancer Program, Department of Medicine, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Division of Liver Diseases, Liver Cancer Program, Department of Medicine, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Adv Cancer Res. 2022;156:167-199. doi: 10.1016/bs.acr.2022.01.008. Epub 2022 Feb 28.
Biliary tract cancers (BTCs), which include cholangiocarcinoma (CCA) and gallbladder cancer (GBC), are heterogenous malignancies characterized by distinct molecular features often associated with specific clinical traits and/or outcomes. Such complex molecular heterogeneity, both within each BTC subtype and between distinct subtypes, poses a great challenge to personalized medicine. Recent technological advances have allowed the integration of multiple -omics derived from large cohorts of patients with distinct solid cancers to ultimately design stratification algorithms for prognostic prediction or more efficient treatment allocation. In this regard, although BTCs lag behind other tumors when it comes to our understanding of their molecular complexity, over the past decade, tremendous efforts have been made to generate supervised or unsupervised molecular classifications. As a result, CCAs and GBCs can be assigned to distinct molecular and/or prognostic classes. Notably, the discovery of biologically relevant subgroups of tumors harboring frequent targetable alterations (i.e., mutations in IDH1, FGFR2 fusion proteins) holds important therapeutic implications for BTCs, particularly iCCA. Furthermore, the recent application of single cell-based technologies or more conservative (and less precise) "virtual microdissection" algorithms to isolate signals derived from the immune and stromal cells has identified the first microenvironment-based classes. In this chapter, we will review the molecular and immune classes of BTCs, with a particular focus on their clinical implications.
胆道癌(BTCs)包括胆管癌(CCA)和胆囊癌(GBC),是具有不同分子特征的异质性恶性肿瘤,这些特征通常与特定的临床特征和/或结果相关。这种复杂的分子异质性,无论是在每种 BTC 亚型内还是在不同亚型之间,都对个性化医学构成了巨大挑战。最近的技术进步允许整合来自不同实体癌大队列的多种组学数据,最终设计用于预后预测或更有效治疗分配的分层算法。在这方面,尽管 BTCs 在我们对其分子复杂性的理解方面落后于其他肿瘤,但在过去十年中,已经做出了巨大努力来生成有监督或无监督的分子分类。结果,CCA 和 GBC 可以被分配到不同的分子和/或预后类别。值得注意的是,发现具有频繁可靶向改变的肿瘤具有生物学相关性的亚组(即 IDH1 突变、FGFR2 融合蛋白),这对 BTCs 具有重要的治疗意义,特别是 iCCA。此外,最近应用单细胞技术或更保守(和不精确)的“虚拟微观解剖”算法来分离来自免疫和基质细胞的信号,已经确定了第一个基于微环境的分类。在本章中,我们将回顾 BTCs 的分子和免疫分类,特别关注其临床意义。