Deep immunophenotyping at the single-cell level identifies a combination of anti-IL-17 and checkpoint blockade as an effective treatment in a preclinical model of data-guided personalized immunotherapy

Deep immunophenotyping at the single-cell level identifies a combination of anti-IL-17 and checkpoint blockade as an effective treatment in a preclinical model of data-guided personalized immunotherapy

Background Although immune checkpoint blockade is effective for several malignancies, a substantial number of patients remain refractory to treatment. The future of immunotherapy will be a personalized approach adapted to each patient’s cancer-immune interactions in the tumor microenvironment (TME)...

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Bibliographic Details
Main Authors: Yukari Kobayashi, Kazuhiro Kakimi, Koji Nagaoka, Akihiro Hosoi, Masashi Fujita, Masataka Shirai, Kiyomi Taniguchi, Changbo Sun, Kazuhiro Maejima, Hidewaki Nakagawa, Sachiyo Nomura
Format: Article
Language:English
Published: BMJ Publishing Group 2020-10-01
Series:Journal for ImmunoTherapy of Cancer
Online Access:https://jitc.bmj.com/content/8/2/e001358.full
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