Batalha Sofia, Ferreira Sofia, Brito Catarina
Instituto de Biologia Experimental e Tecnológica (iBET), Apartado 12, 2781-901 Oeiras, Portugal.
Instituto de Tecnologia Química e Biológica António Xavier, University Nova de Lisboa, Avenida da República, 2780-157 Oeiras, Portugal.
Cancers (Basel). 2021 Mar 15;13(6):1305. doi: 10.3390/cancers13061305.
Breast cancer is the deadliest female malignancy worldwide and, while much is known about phenotype and function of infiltrating immune cells, the same attention has not been paid to the peripheral immune compartment of breast cancer patients. To obtain faster, cheaper, and more precise monitoring of patients' status, it is crucial to define and analyze circulating immune profiles. This review compiles and summarizes the disperse knowledge on the peripheral immune profile of breast cancer patients, how it departs from healthy individuals and how it changes with disease progression. We propose this data to be used as a starting point for validation of clinically relevant biomarkers of disease progression and therapy response, which warrants more thorough investigation in patient cohorts of specific breast cancer subtypes. Relevant clinical findings may also be explored experimentally using advanced 3D cellular models of human cancer-immune system interactions, which are under intensive development. We review the latest findings and discuss the strengths and limitations of such models, as well as the future perspectives. Together, the scientific advancement of peripheral biomarker discovery and cancer-immune crosstalk in breast cancer will be instrumental to uncover molecular mechanisms and putative biomarkers and drug targets in an all-human setting.
乳腺癌是全球最致命的女性恶性肿瘤,虽然人们对浸润性免疫细胞的表型和功能了解颇多,但乳腺癌患者的外周免疫区室却未得到同样的关注。为了更快、更经济且更精确地监测患者状态,定义和分析循环免疫谱至关重要。本综述汇编并总结了关于乳腺癌患者外周免疫谱的零散知识,包括其与健康个体的差异以及随疾病进展的变化情况。我们建议将这些数据用作验证疾病进展和治疗反应的临床相关生物标志物的起点,这需要在特定乳腺癌亚型的患者队列中进行更深入的研究。相关临床发现也可通过正在大力发展的先进人类癌症 - 免疫系统相互作用的3D细胞模型进行实验探索。我们回顾了最新发现,讨论了此类模型的优缺点以及未来前景。外周生物标志物发现和乳腺癌中癌症 - 免疫相互作用的科学进展将有助于在全人类环境中揭示分子机制、推定生物标志物和药物靶点。