Peripheral T cell cytotoxicity predicts T cell function in the tumor microenvironment

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作者
Kota Iwahori
Yasushi Shintani
Soichiro Funaki
Yoko Yamamoto
Mitsunobu Matsumoto
Tetsuya Yoshida
Akiko Morimoto-Okazawa
Atsunari Kawashima
Eiichi Sato
Stephen Gottschalk
Meinoshin Okumura
Atsushi Kumanogoh
Hisashi Wada
机构
[1] Osaka University,Department of Clinical Research in Tumor Immunology, Graduate School of Medicine
[2] Osaka University,Department of Respiratory Medicine and Clinical Immunology, Graduate School of Medicine
[3] Osaka University,Department of General Thoracic Surgery, Graduate School of Medicine
[4] Shionogi & Co.,Department of Frontier Research in Tumor Immunology, Graduate School of Medicine
[5] Ltd.,Department of Pathology (Medical Research Center), Institute of Medical Science
[6] Osaka University,Department of Bone Marrow Transplant and Cellular Therapy
[7] Tokyo Medical University,undefined
[8] St. Jude Children’s Research Hospital,undefined
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Scientific Reports | / 9卷
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摘要
Cancer immunotherapy, including immune checkpoint inhibitors, exerts beneficial effects in cancer patients. However, immune checkpoint inhibitors are only advantageous for a limited population of cancer patients. Therefore, companion diagnostics are needed in order to identify patients for whom these therapies are effective. In the present study, we evaluated detailed immunological aspects in clinical specimens from non-small cell lung cancer (NSCLC) patients. We analyzed the immune profiles, T cell cytotoxicity, and TCR repertoire of peripheral blood, normal lung tissue, and tumor tissue from NSCLC patients. By using bispecific T-cell engager technology to assess the cytotoxicity of T cells, we found that the cytotoxicity of tumor-infiltrated T cells closely correlated with that of peripheral T cells. This correlation was supported by the immune profiles, cytokine production, and results of the TCR repertoire analysis from these specimens. We also found that the cytotoxicity of peripheral T cells has potential as a predictor of the effects of nivolumab in the tumor microenvironment. These results imply further applications to blood-based immune monitoring systems and predictive biomarkers for cancer immunotherapy.
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