@article {MIYATA419, author = {HARUO MIYATA and YASUTO AKIYAMA and AKIRA IIZUKA and RYOTA KONDOU and CHIE MAEDA and AKARI KANEMATSU and KYOKO WATANABE and TADASHI ASHIZAWA and TAKESHI NAGASHIMA and KENICHI URAKAMI and KEIICHI OHSHIMA and TAKUYA KAWATA and KOJI MURAMATSU and AKIO SHIOMI and MASANORI TERASHIMA and TAKASHI SUGINO and AKIFUMI NOTSU and KEITA MORI and KEN YAMAGUCHI}, title = {Development of an Automatic Measurement Method for CD8 and PD-1 Positive T Cells Using Image Analysis Software}, volume = {42}, number = {1}, pages = {419--427}, year = {2022}, doi = {10.21873/anticanres.15500}, publisher = {International Institute of Anticancer Research}, abstract = {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.}, issn = {0250-7005}, URL = {https://ar.iiarjournals.org/content/42/1/419}, eprint = {https://ar.iiarjournals.org/content/42/1/419.full.pdf}, journal = {Anticancer Research} }