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肝脏转移瘤的组织病理学生长模式:更新的共识指南用于模式评分、观点和最近的机制见解。

Histopathological growth patterns of liver metastasis: updated consensus guidelines for pattern scoring, perspectives and recent mechanistic insights.

机构信息

Translational Cancer Research Unit, GZA Hospitals, Iridium Netwerk and University of Antwerp, Antwerp, Belgium.

Department of Surgery, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.

出版信息

Br J Cancer. 2022 Oct;127(6):988-1013. doi: 10.1038/s41416-022-01859-7. Epub 2022 Jun 1.

Abstract

The first consensus guidelines for scoring the histopathological growth patterns (HGPs) of liver metastases were established in 2017. Since then, numerous studies have applied these guidelines, have further substantiated the potential clinical value of the HGPs in patients with liver metastases from various tumour types and are starting to shed light on the biology of the distinct HGPs. In the present guidelines, we give an overview of these studies, discuss novel strategies for predicting the HGPs of liver metastases, such as deep-learning algorithms for whole-slide histopathology images and medical imaging, and highlight liver metastasis animal models that exhibit features of the different HGPs. Based on a pooled analysis of large cohorts of patients with liver-metastatic colorectal cancer, we propose a new cut-off to categorise patients according to the HGPs. An up-to-date standard method for HGP assessment within liver metastases is also presented with the aim of incorporating HGPs into the decision-making processes surrounding the treatment of patients with liver-metastatic cancer. Finally, we propose hypotheses on the cellular and molecular mechanisms that drive the biology of the different HGPs, opening some exciting preclinical and clinical research perspectives.

摘要

2017 年首次制定了用于评分肝转移瘤组织病理学生长模式(HGPs)的共识指南。此后,许多研究都应用了这些指南,进一步证实了 HGPs 在不同肿瘤类型肝转移患者中的潜在临床价值,并开始揭示不同 HGPs 的生物学特性。在本指南中,我们对这些研究进行了概述,讨论了预测肝转移 HGPs 的新策略,如全切片组织病理学图像和医学成像的深度学习算法,并强调了具有不同 HGPs 特征的肝转移动物模型。基于对大量结直肠癌肝转移患者队列的汇总分析,我们提出了一种新的分类方法,根据 HGPs 将患者分为不同类别。还提出了一种最新的肝转移 HGPs 评估标准方法,旨在将 HGPs 纳入肝转移性癌症治疗决策过程。最后,我们对驱动不同 HGPs 生物学的细胞和分子机制提出了假设,为临床前和临床研究开辟了一些令人兴奋的新视角。

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