Brown Jason R, Wimberly Hallie, Lannin Donald R, Nixon Christian, Rimm David L, Bossuyt Veerle
Department of Pathology, Yale University Medical School, New Haven, Connecticut.
Department of Surgery, Yale University Medical School, New Haven, Connecticut.
Clin Cancer Res. 2014 Dec 1;20(23):5995-6005. doi: 10.1158/1078-0432.CCR-14-1622. Epub 2014 Sep 25.
Although tumor-infiltrating lymphocytes (TIL) have been associated with response to neoadjuvant therapy, measurement typically is subjective, semiquantitative, and unable to differentiate among subpopulations. Here, we describe a quantitative objective method for analyzing lymphocyte subpopulations and assessing their predictive value.
We developed a quantitative immunofluorescence assay to measure stromal expression of CD3, CD8, and CD20 on one slide. We validated this assay by comparison with flow cytometry on tonsil specimens and assessed predictive value in breast cancer on a neoadjuvant cohort (n = 95). Then, each marker was tested for prediction of pathologic complete response (pCR) compared with pathologist estimation of the percentage of lymphocyte infiltrate.
The lymphocyte percentage and CD3, CD8, and CD20 proportions were similar between flow cytometry and quantitative immunofluorescence on tonsil specimens. Pathologist TIL count predicted pCR [P = 0.043; OR, 4.77; 95% confidence interval (CI), 1.05-21.6] despite fair interobserver reproducibility (κ = 0.393). Stromal AQUA (automated quantitative analysis) scores for CD3 (P = 0.023; OR, 2.51; 95% CI, 1.13-5.57), CD8 (P = 0.029; OR, 2.00; 95% CI, 1.08-3.72), and CD20 (P = 0.005; OR, 1.80; 95% CI, 1.19-2.72) predicted pCR in univariate analysis. CD20 AQUA score predicted pCR (P = 0.019; OR, 5.37; 95% CI, 1.32-21.8) independently of age, size, nuclear grade, nodal status, ER, PR, HER2, and Ki-67, whereas CD3, CD8, and pathologist estimation did not.
We have developed and validated an objective, quantitative assay measuring TILs in breast cancer. Although this work provides analytic validity, future larger studies will be required to prove clinical utility.
尽管肿瘤浸润淋巴细胞(TIL)与新辅助治疗的反应相关,但通常的测量方法主观、半定量,且无法区分亚群。在此,我们描述一种用于分析淋巴细胞亚群并评估其预测价值的定量客观方法。
我们开发了一种定量免疫荧光测定法,可在一张载玻片上测量CD3、CD8和CD20的基质表达。我们通过与扁桃体标本的流式细胞术比较来验证该测定法,并在一个新辅助治疗队列(n = 95)的乳腺癌中评估其预测价值。然后,将每个标志物与病理学家对淋巴细胞浸润百分比的估计进行比较,测试其对病理完全缓解(pCR)的预测能力。
扁桃体标本的流式细胞术和定量免疫荧光测定法之间的淋巴细胞百分比以及CD3、CD8和CD20比例相似。尽管观察者间的可重复性一般(κ = 0.393),但病理学家的TIL计数可预测pCR [P = 0.043;OR,4.77;95%置信区间(CI),1.05 - 21.6]。在单变量分析中,CD3(P = 0.023;OR,2.51;95% CI,1.13 - 5.57)、CD8(P = 0.029;OR,2.00;95% CI,1.08 - 3.72)和CD20(P = 0.005;OR,1.80;95% CI,1.19 - 2.72)的基质AQUA(自动定量分析)评分可预测pCR。CD20的AQUA评分独立于年龄、大小、核分级、淋巴结状态、雌激素受体(ER)、孕激素受体(PR)、人表皮生长因子受体2(HER2)和Ki-67可预测pCR(P = 0.019;OR,5.37;95% CI,1.32 - 21.8),而CD3、CD