CIISA - Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, Universidade de Lisboa, Departamento de Morfologia e Função, Avenida da Universidade Técnica, 1300-477 Lisboa, Portugal.
CIISA - Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, Universidade de Lisboa, Departamento de Morfologia e Função, Avenida da Universidade Técnica, 1300-477 Lisboa, Portugal.
Biochim Biophys Acta Rev Cancer. 2021 Aug;1876(1):188587. doi: 10.1016/j.bbcan.2021.188587. Epub 2021 Jul 5.
In recent years, the tumor microenvironment (TME) has been a research hotspot, as it is composed of distinct cellular and non-cellular elements that may influence the diagnosis, prognosis, and treatment of breast cancer patients. Cancer cells are able to escape immune control through an immunoediting process which depends on complex communication networks between immune and cancer cells. Thus, a better understanding of the immune cell infiltrate in the breast cancer microenvironment is crucial for the development of more effective therapeutic approaches. In this review article, we overview the different actors that orchestrate the complexity of the TME, including tumor infiltrating lymphocytes (TILs), natural killer cells, tumor infiltrating dendritic cells (TIDCs), tumor associated macrophages (TAMs), tumor associated neutrophils (TANs), cancer associated fibroblasts (CAFs), myeloid-derived suppressor cells (MDSCs), distinct pro-angiogenic factors and immune checkpoint biomarkers. Additionally, we summarize the recent advances in the TME of feline mammary carcinoma (FMC). FMC has been proposed as a reliable cancer model for the study of human breast cancer, as they share clinicopathological, histopathological and epidemiological features, as well as the pathways involved in cancer initiation and progression.
近年来,肿瘤微环境(TME)一直是研究热点,因为它由不同的细胞和非细胞成分组成,可能会影响乳腺癌患者的诊断、预后和治疗。癌细胞通过免疫编辑过程逃避免疫控制,该过程取决于免疫细胞和癌细胞之间复杂的通信网络。因此,更好地了解乳腺癌微环境中的免疫细胞浸润对于开发更有效的治疗方法至关重要。在这篇综述文章中,我们概述了协调 TME 复杂性的不同因素,包括肿瘤浸润淋巴细胞(TILs)、自然杀伤细胞、肿瘤浸润树突状细胞(TIDCs)、肿瘤相关巨噬细胞(TAMs)、肿瘤相关中性粒细胞(TANs)、癌相关成纤维细胞(CAFs)、髓系来源的抑制细胞(MDSCs)、不同的促血管生成因子和免疫检查点生物标志物。此外,我们总结了猫乳腺肿瘤(FMC)TME 的最新进展。FMC 已被提议作为研究人类乳腺癌的可靠癌症模型,因为它们具有临床病理、组织病理学和流行病学特征,以及癌症发生和发展涉及的途径。