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以空间和多重分辨率剖析乳腺癌中的肿瘤免疫微环境

Dissecting Tumor-Immune Microenvironment in Breast Cancer at a Spatial and Multiplex Resolution.

作者信息

Tzoras Evangelos, Zerdes Ioannis, Tsiknakis Nikos, Manikis Georgios C, Mezheyeuski Artur, Bergh Jonas, Matikas Alexios, Foukakis Theodoros

机构信息

Department of Oncology-Pathology, Karolinska Institutet, 171 77 Stockholm, Sweden.

Breast Center, Theme Cancer, Karolinska University Hospital, 171 77 Stockholm, Sweden.

出版信息

Cancers (Basel). 2022 Apr 14;14(8):1999. doi: 10.3390/cancers14081999.

Abstract

The tumor immune microenvironment (TIME) is an important player in breast cancer pathophysiology. Surrogates for antitumor immune response have been explored as predictive biomarkers to immunotherapy, though with several limitations. Immunohistochemistry for programmed death ligand 1 suffers from analytical problems, immune signatures are devoid of spatial information and histopathological evaluation of tumor infiltrating lymphocytes exhibits interobserver variability. Towards improved understanding of the complex interactions in TIME, several emerging multiplex in situ methods are being developed and gaining much attention for protein detection. They enable the simultaneous evaluation of multiple targets in situ, detection of cell densities/subpopulations as well as estimations of functional states of immune infiltrate. Furthermore, they can characterize spatial organization of TIME-by cell-to-cell interaction analyses and the evaluation of distribution within different regions of interest and tissue compartments-while digital imaging and image analysis software allow for reproducibility of the various assays. In this review, we aim to provide an overview of the different multiplex in situ methods used in cancer research with special focus on breast cancer TIME at the neoadjuvant, adjuvant and metastatic setting. Spatial heterogeneity of TIME and importance of longitudinal evaluation of TIME changes under the pressure of therapy and metastatic progression are also addressed.

摘要

肿瘤免疫微环境(TIME)在乳腺癌病理生理学中起着重要作用。作为抗肿瘤免疫反应的替代指标已被探索用作免疫治疗的预测生物标志物,尽管存在一些局限性。程序性死亡配体1的免疫组织化学存在分析问题,免疫特征缺乏空间信息,肿瘤浸润淋巴细胞的组织病理学评估存在观察者间差异。为了更好地理解TIME中的复杂相互作用,正在开发几种新兴的多重原位方法,这些方法在蛋白质检测方面备受关注。它们能够在原位同时评估多个靶点,检测细胞密度/亚群以及估计免疫浸润的功能状态。此外,它们可以通过细胞间相互作用分析以及对不同感兴趣区域和组织隔室内分布的评估来表征TIME的空间组织,而数字成像和图像分析软件则使各种检测具有可重复性。在本综述中,我们旨在概述癌症研究中使用的不同多重原位方法,特别关注新辅助、辅助和转移情况下乳腺癌的TIME。还讨论了TIME的空间异质性以及在治疗和转移进展压力下对TIME变化进行纵向评估的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0561/9026731/3cc6ad6feb83/cancers-14-01999-g001.jpg

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