Singh U, Cui Y, Dimaano N, Mehta S, Pruitt S K, Yearley J, Laterza O F, Juco J W, Dogdas B
a Translational Medicine , Merck & Co., Inc ., Kenilworth.
b Applied Mathematics and Modeling, Data Science , Merck & Co. Inc ., Rahway , New Jersey.
Biotech Histochem. 2018;93(6):411-423. doi: 10.1080/10520295.2018.1445290. Epub 2018 Jun 4.
Tumor infiltrating lymphocytes (TIL), especially T-cells, have both prognostic and therapeutic applications. The presence of CD8+ effector T-cells and the ratio of CD8+ cells to FOXP3+ regulatory T-cells have been used as biomarkers of disease prognosis to predict response to various immunotherapies. Blocking the interaction between inhibitory receptors on T-cells and their ligands with therapeutic antibodies including atezolizumab, nivolumab, pembrolizumab and tremelimumab increases the immune response against cancer cells and has shown significant improvement in clinical benefits and survival in several different tumor types. The improved clinical outcome is presumed to be associated with a higher tumor infiltration; therefore, it is thought that more accurate methods for measuring the amount of TIL could assist prognosis and predict treatment response. We have developed and validated quantitative immunohistochemistry (IHC) assays for CD3, CD8 and FOXP3 for immunophenotyping T-lymphocytes in tumor tissue. Various types of formalin fixed, paraffin embedded (FFPE) tumor tissues were immunolabeled with anti-CD3, anti-CD8 and anti-FOXP3 antibodies using an IHC autostainer. The tumor area of stained tissues, including the invasive margin of the tumor, was scored by a pathologist (visual scoring) and by computer-based quantitative image analysis. Two image analysis scores were obtained for the staining of each biomarker: the percent positive cells in the tumor area and positive cells/mm tumor area. Comparison of visual vs. image analysis scoring methods using regression analysis showed high correlation and indicated that quantitative image analysis can be used to score the number of positive cells in IHC stained slides. To demonstrate that the IHC assays produce consistent results in normal daily testing, we evaluated the specificity, sensitivity and reproducibility of the IHC assays using both visual and image analysis scoring methods. We found that CD3, CD8 and FOXP3 IHC assays met the fit-for-purpose analytical acceptance validation criteria and that they can be used to support clinical studies.
肿瘤浸润淋巴细胞(TIL),尤其是T细胞,具有预后和治疗应用价值。CD8 +效应T细胞的存在以及CD8 +细胞与FOXP3 +调节性T细胞的比例已被用作疾病预后的生物标志物,以预测对各种免疫疗法的反应。使用包括阿特珠单抗、纳武单抗、帕博利珠单抗和曲美木单抗在内的治疗性抗体阻断T细胞上抑制性受体与其配体之间的相互作用,可增强针对癌细胞的免疫反应,并已在几种不同肿瘤类型中显示出临床益处和生存率的显著改善。临床结果的改善被认为与更高的肿瘤浸润有关;因此,人们认为更准确的测量TIL数量的方法有助于预后评估和预测治疗反应。我们已经开发并验证了用于肿瘤组织中T淋巴细胞免疫表型分析的CD3、CD8和FOXP3定量免疫组织化学(IHC)检测方法。使用IHC自动染色仪,用抗CD3、抗CD8和抗FOXP3抗体对各种类型的福尔马林固定、石蜡包埋(FFPE)肿瘤组织进行免疫标记。由病理学家(视觉评分)和基于计算机的定量图像分析对染色组织的肿瘤区域(包括肿瘤的浸润边缘)进行评分。针对每个生物标志物的染色获得了两个图像分析评分:肿瘤区域中阳性细胞的百分比和每平方毫米肿瘤区域中的阳性细胞数。使用回归分析比较视觉评分与图像分析评分方法,结果显示高度相关,表明定量图像分析可用于对IHC染色切片中的阳性细胞数量进行评分。为了证明IHC检测在日常常规检测中能产生一致的结果,我们使用视觉和图像分析评分方法评估了IHC检测的特异性、敏感性和可重复性。我们发现CD3、CD8和FOXP3的IHC检测符合适用目的的分析验收验证标准,可用于支持临床研究。