TY - JOUR T1 - Development of an Automatic Measurement Method for CD8 and PD-1 Positive T Cells Using Image Analysis Software JF - Anticancer Research JO - Anticancer Res SP - 419 LP - 427 DO - 10.21873/anticanres.15500 VL - 42 IS - 1 AU - HARUO MIYATA AU - YASUTO AKIYAMA AU - AKIRA IIZUKA AU - RYOTA KONDOU AU - CHIE MAEDA AU - AKARI KANEMATSU AU - KYOKO WATANABE AU - TADASHI ASHIZAWA AU - TAKESHI NAGASHIMA AU - KENICHI URAKAMI AU - KEIICHI OHSHIMA AU - TAKUYA KAWATA AU - KOJI MURAMATSU AU - AKIO SHIOMI AU - MASANORI TERASHIMA AU - TAKASHI SUGINO AU - AKIFUMI NOTSU AU - KEITA MORI AU - KEN YAMAGUCHI Y1 - 2022/01/01 UR - http://ar.iiarjournals.org/content/42/1/419.abstract N2 - 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. ER -