Machine Learning-assisted immunophenotyping of peripheral blood identifies innate immune cells as best predictor of response to induction chemo-immunotherapy in head and neck squamous cell carcinoma – knowledge obtained from the CheckRad-CD8 trial

Machine Learning-assisted immunophenotyping of peripheral blood identifies innate immune cells as best predictor of response to induction chemo-immunotherapy in head and neck squamous cell carcinoma – knowledge obtained from the CheckRad-CD8 trial

Purpose: Individual prediction of treatment response is crucial for personalized treatment in multimodal approaches against head-and-neck squamous cell carcinoma (HNSCC). So far, no reliable predictive parameters for treatment schemes containing immunotherapy have been identified. This study aims to...

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Bibliographic Details
Main Authors: Markus Hecht, Benjamin Frey, Udo S. Gaipl, Xie Tianyu, Markus Eckstein, Anna-Jasmina Donaubauer, Gunther Klautke, Thomas Illmer, Maximilian Fleischmann, Simon Laban, Matthias G. Hautmann, Bálint Tamaskovics, Thomas B. Brunner, Ina Becker, Jian-Guo Zhou, Arndt Hartmann, Rainer Fietkau, Heinrich Iro, Michael Döllinger, Antoniu-Oreste Gostian, Andreas M. Kist
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Neoplasia: An International Journal for Oncology Research
Subjects:
Chemotherapy
Immunotherapy
HNSCC
Induction therapy
Immune phenotyping
Online Access:http://www.sciencedirect.com/science/article/pii/S1476558623000775

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http://www.sciencedirect.com/science/article/pii/S1476558623000775

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