Vollständiger Abstract
Worum geht es in dieser Arbeit?
Abstract Immunological biomarkers are increasingly relevant for personalized cancer treatment, but peripheral blood-derived biomarkers are not yet used to guide therapy in head and neck squamous cell carcinoma (HNSCC). The prospective non-randomized DIREKHT study (ClinicalTrials.gov: NCT02528955, 2015-08-19) therefore integrated immune monitoring into postoperative radio(chemo)therapy (R(C)T) to explore blood-based biomarkers. In 70 oral cavity and oropharyngeal cancer patients receiving curative R(C)T, the peripheral immune status was assessed before and after therapy and during follow-up by flow cytometry-based immunophenotyping of 45 immune parameters. A machine learning workflow identified predictors of disease-free survival (DFS), using Repeated Elastic Net Technique (RENT) feature selection within repeated stratified K-fold cross-validation and nested cross-validation for tuning and assessment. This approach identified a 29-parameter immune signature from pre- and post-therapeutic profiles, with key contributors including HLA-DR + T cells, HLA-DR+ monocytes, and basophils. The best model achieved a Matthews correlation coefficient of 0.681, with pre- and post-therapeutic parameters contributing equally, highlighting immune dynamics during R(C)T. Adding clinical parameters did not improve performance (MCC = 0.678), but yielded a comparable model integrating immune and clinical variables. Blood-based immune signatures may have prognostic relevance for DFS after R(C)T in HNSCC. Validation in larger cohorts is required to confirm clinical applicability and reduce the signature.
Bibliografischer Nachweis
Publikationsdaten
- Autor:innen
- Anna-Jasmina Donaubauer, Oliver Tomic, Lia Mogge, Sarina K. Müller, Cecilia Marie Futsaether, Kristian Hovde Liland, Bao Ngoc Huynh, Jens von der Grün, Panagiotis Balermpas, Max Fleischmann, Matthias G. Hautmann, Felix Steger, Christopher Bohr, Thomas Hehr, Carmen Stromberger, Volker Budach, Markus Schymalla, Rita Engenhart-Cabillic, Lukas Kocik, Hans Geinitz, Ursula Nestle, Gunter Klautke, Claudia Scherl, Philipp Schubert, Stefanie Corradini, Rainer Fietkau, Udo S. Gaipl, Benjamin Frey, Marlen Haderlein
- Quelle
- npj Precision Oncology
- Publikation
- 2026-01-01
- Band / Ausgabe
- Nicht angegeben
- Seiten
- Nicht angegeben
- ISSN / ISBN
- 2397-768X
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Zitierfähiger Nachweis
Anna-Jasmina Donaubauer, Oliver Tomic, Lia Mogge, Sarina K. Müller, Cecilia Marie Futsaether, Kristian Hovde Liland, Bao Ngoc Huynh, Jens von der Grün, Panagiotis Balermpas, Max Fleischmann, Matthias G. Hautmann, Felix Steger, Christopher Bohr, Thomas Hehr, Carmen Stromberger, Volker Budach, Markus Schymalla, Rita Engenhart-Cabillic, Lukas Kocik, Hans Geinitz, Ursula Nestle, Gunter Klautke, Claudia Scherl, Philipp Schubert, Stefanie Corradini, Rainer Fietkau, Udo S. Gaipl, Benjamin Frey, Marlen Haderlein (2026). Exploratory immunomonitoring during radiochemotherapy in HNSCC and machine-learning reveal immune parameters associated with disease-free survival. npj Precision Oncology. https://doi.org/10.1038/s41698-026-01658-w
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