Autor: |
Hitomi, Kajikawa, Michinari, Hirata, Miya, Haruna, Azumi, Ueyama, Katsutoshi, Hirose, Atsunari, Kawashima, Kota, Iwahori, Kazuhide, Matsunaga, Satoru, Toyosawa, Narikazu, Uzawa, Hisashi, Wada |
Rok vydání: |
2022 |
Předmět: |
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Zdroj: |
Anticancer research. 42(5) |
ISSN: |
1791-7530 |
Popis: |
Tumor immunity in the tumor microenvironment is activated in patients with feasible clinical responses to immune checkpoint inhibitors. The immunological profile of tumor-infiltrating lymphocytes (TILs) obtained from patients with oral squamous cell carcinoma (OSCC) was examined in relation to their prognosis.Surface antigens, including immune checkpoint molecules, on TILs from 31 patients with primary OSCC were analyzed by flow cytometry. The activation status of TILs was examined through a heatmap analysis and unsupervised clustering classified patients into groups with activated or inactivated TILs. A supervised machine-learning algorithm for single-cell analyses in relation to prognosis was run using the Cluster Identification, Characterization, and Regression (CITRUS) program.None of surface antigens were related to prognosis. The CITRUS program revealed a relationship between CD45RACD25 |
Databáze: |
OpenAIRE |
Externí odkaz: |
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