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-Reference-Cited by-同舟云学术

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

Published:2024-03 Issue: Volume:49 Page:100953
ISSN:1476-5586
Container-title:Neoplasia
language:en
Short-container-title:Neoplasia

Author:

Hecht Markus^ORCID,Frey Benjamin^ORCID,Gaipl Udo S.^ORCID,Tianyu Xie,Eckstein Markus^ORCID,Donaubauer Anna-Jasmina,Klautke Gunther,Illmer Thomas,Fleischmann Maximilian,Laban Simon,Hautmann Matthias G.,Tamaskovics Bálint,Brunner Thomas B.,Becker Ina,Zhou Jian-Guo^ORCID,Hartmann Arndt,Fietkau Rainer,Iro Heinrich,Döllinger Michael,Gostian Antoniu-Oreste,Kist Andreas M.^ORCID

Publisher

Elsevier BV

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1. Defining intra-tumoral and systemic immune biomarkers for locally advanced head-and-neck cancer – detailed protocol of a prospective, observatory multicenter trial (ImmunBioKHT) and first results of the immunophenotyping of the patients’ peripheral blood;Frontiers in Oncology;2024-09-13

2. Neutrophils seeking new neighbors: radiotherapy affects the cellular framework and the spatial organization in a murine breast cancer model;Cancer Immunology, Immunotherapy;2024-03-02