Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
Sir Peter MacCallum Department of Oncology, Parkville, VIC, Australia.
Methods Mol Biol. 2021;2265:557-572. doi: 10.1007/978-1-0716-1205-7_39.
Tumor-infiltrating lymphocytes (TILs) are an important prognostic indicator in melanoma and play a key role in the patient's response to immune checkpoint blockade. However, until recently, it was not possible to combine multi-parameter markers to define the TILs and their histological context. Multiplex immunohistochemistry (mIHC) is a new technology which addresses this issue and enables simultaneous detection of melanoma and multiple immune subsets in formalin fixed paraffin embedded tissue. Following antigen retrieval, melanoma tissue sections are stained by OPAL on an autostainer, including serial rounds of epitope labelling with monoclonal antibodies followed by tyramide signal amplification (TSA). The stained tissue sections are then imaged on the Vectra instrument, and digital images are processed by analysis software (inForm and HALO) to derive tissue segmentation and immune subset densities within the tumor and tumor stroma. Spatial relationships between immune cells and tumor cells are then analyzed using a novel R algorithm. Taken together, multiplex IHC describes the histological context of the immune system in melanoma. The data is objective and allows for characterization of individual melanomas as T cell inflamed (hot), immune excluded, or no immune cells (cold).
肿瘤浸润淋巴细胞 (TILs) 是黑色素瘤的一个重要预后指标,在患者对免疫检查点阻断的反应中起着关键作用。然而,直到最近,还不可能将多参数标记物结合起来定义 TILs 及其组织学背景。多重免疫组化 (mIHC) 是一种新技术,可以解决这个问题,并能够在福尔马林固定石蜡包埋组织中同时检测黑色素瘤和多个免疫亚群。抗原修复后,黑色素瘤组织切片在自动染色机上用 OPAL 染色,包括用单克隆抗体进行一系列的表位标记,然后进行辣根过氧化物酶信号放大 (TSA)。然后在 Vectra 仪器上对染色的组织切片进行成像,并用分析软件 (inForm 和 HALO) 处理数字图像,以得出肿瘤和肿瘤基质内的组织分割和免疫亚群密度。然后使用一种新的 R 算法分析免疫细胞和肿瘤细胞之间的空间关系。总之,多重免疫组化描述了黑色素瘤中免疫系统的组织学背景。该数据是客观的,并允许对个别黑色素瘤进行特征描述,分为 T 细胞浸润(热)、免疫排斥或无免疫细胞(冷)。