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结直肠肝转移的组织病理学和免疫预后因素

Histopathological and Immune Prognostic Factors in Colo-Rectal Liver Metastases.

作者信息

Rigamonti Alessandra, Feuerhake Friedrich, Donadon Matteo, Locati Massimo, Marchesi Federica

机构信息

Department of Immunology and Inflammation, IRCCS Humanitas Research Hospital, 20089 Rozzano, Italy.

Department of Biotechnology and Translational Medicine, University of Milan, 20129 Milan, Italy.

出版信息

Cancers (Basel). 2021 Mar 3;13(5):1075. doi: 10.3390/cancers13051075.

Abstract

Prognostic studies are increasingly providing new tools to stratify colo-rectal liver metastasis patients into clinical subgroups, with remarkable implications in terms of clinical management and therapeutic choice. Here, the strengths and hurdles of current prognostic tools in colo-rectal liver metastasis are discussed. Alongside more classic histopathological parameters, which capture features related to the tumor component, such as tumor invasion, tumor growth pattern and regression score, we will discuss immune mediators, which are starting to be considered important features. Their objective quantification has shown significant results in prognostication studies, with most of the work focused on adaptive immune cells, namely T cells. As for macrophages, they are only starting to be appreciated and we will present recent advances in evaluation of macrophage morphological features. Deeper knowledge acquired by multiparametric analyses is rapidly uncovering the variety of immune players that should be assessed. The future projection is to implement deep-learning histopathological tools and to integrate histopathological and immune metrics in multiparametric scores, with the ultimate objective to achieve a deeper resolution of the tumor features and their relevance for colo-rectal liver metastasis.

摘要

预后研究越来越多地提供新工具,将结直肠癌肝转移患者分层到临床亚组中,这在临床管理和治疗选择方面具有显著意义。在此,我们讨论当前结直肠癌肝转移预后工具的优势和障碍。除了更经典的组织病理学参数,这些参数捕捉与肿瘤成分相关的特征,如肿瘤侵袭、肿瘤生长模式和消退评分外,我们还将讨论免疫介质,它们开始被认为是重要特征。它们的客观量化在预后研究中已显示出显著结果,大多数工作集中在适应性免疫细胞,即T细胞。至于巨噬细胞,它们才刚刚开始受到重视,我们将介绍巨噬细胞形态特征评估的最新进展。多参数分析获得的更深入知识正在迅速揭示应评估的各种免疫参与者。未来的设想是实施深度学习组织病理学工具,并将组织病理学和免疫指标整合到多参数评分中,最终目标是更深入地解析肿瘤特征及其与结直肠癌肝转移的相关性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36fc/7959473/62254ab234d0/cancers-13-01075-g001.jpg

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