Development of an Automatic Measurement Method for CD8 and PD-1 Positive T Cells Using Image Analysis Software
Development of an Automatic Measurement Method for CD8 and PD-1 Positive T Cells Using Image Analysis Software
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DOI：
10.21873/anticanres.15500
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发表时间：
2021-12
影响因子：
2
通讯作者：
H. Miyata;Y. Akiyama;A. Iizuka;Ryota Kondou;C. Maeda;Akari Kanematsu;Kyoko Watanabe;T. Ashizawa;T. Nagashima;K. Urakami;K. Ohshima;T. Kawata;Koji Muramatsu;A. Shiomi;M. Terashima;T. Sugino;A. Notsu;K. Mori;K. Yamaguchi
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文献类型：
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作者：
H. Miyata;Y. Akiyama;A. Iizuka;Ryota Kondou;C. Maeda;Akari Kanematsu;Kyoko Watanabe;T. Ashizawa;T. Nagashima;K. Urakami;K. Ohshima;T. Kawata;Koji Muramatsu;A. Shiomi;M. Terashima;T. Sugino;A. Notsu;K. Mori;K. Yamaguchi
背景/目的：随着免疫检查点阻断（ICB）治疗癌症的进展，需要对肿瘤浸润淋巴细胞（TIL）状态进行组织学观察，以利用图像分析软件评价ICB的抗肿瘤作用。材料与方法：从结直肠癌和胃癌患者获得的福尔马林固定的石蜡包埋切片具有超过500个单核苷酸变异，用抗CD 8和抗PD-1抗体染色。基于我们自己的算法和图像分析软件，建立了一种自动测量TIL的方法，并与人工计数方法进行了比较。结果如下：在CD 8 + T细胞计数测量中，手动和自动计数方法之间具有良好的相关性（Pearson检验，r=0.738）。然而，在PD-1+ T细胞测量中，两组中的TIL数量存在很大差异。调整参数设置后，PD-1+ T细胞测量中手动和自动方法之间的相关性得到改善（Pearson检验r=0.668）。结论：基于成像软件的自动测量可能是一种简单而有用的工具，用于根据TIL状态评估癌症免疫疗法的治疗效果。
Background/Aim: With the progress in cancer immunotherapy using immune checkpoint blockade (ICB) therapy, histological observations of tumor-infiltrating lymphocyte (TIL) status are needed to evaluate the antitumor effect of ICB using imaging analysis software. Materials and Methods: Formalin-fixed paraffin-embedded sections obtained from colorectal cancer and gastric cancer patients with more than 500 single nucleotide variants were stained with anti-CD8 and anti-PD-1 antibodies. Based on our own algorithm and imaging analysis software, an automatic TIL measurement method was established and compared to the manual counting methods. Results: In the CD8+ T cell number measurement, there was a good correlation (r=0.738 by Pearson test) between the manual and automated counting methods. However, in the PD-1+ T cell measurement, there was a large difference in TIL numbers in both groups. After adjustment of the parameter settings, the correlation between the manual and automated methods in the PD-1+ T cell measurements improved (r=0.668 by Pearson test). Conclusion: An imaging software-based automatic measurement could be a simple and useful tool for evaluating the therapeutic effect of cancer immunotherapies in terms of TIL status.