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Data from DNA-Methylome–Based Tumor Hypoxia Classifier Identifies HPV-Negative Head and Neck Cancer Patients at Risk for Locoregional Recurrence after Primary Radiochemotherapy

Authors :
Amir Abdollahi
Jürgen Debus
Peter Schirmacher
Michael Baumann
Christel Herold-Mende
Albrecht Stenzinger
Claus Belka
Stephanie E. Combs
Daniel Zips
Anca Ligia Grosu
Martin Stuschke
Mechtild Krause
Ingeborg Tinhofer
Fabian Lohaus
Steffen Löck
Annett Linge
Claus Rödel
Panagiotis Balermpas
Ina Kurth
Jakob Liermann
Juliane Hörner-Rieber
Ute Wirkner
Maximilian Knoll
Christian Schwager
Katrin Rein
Bouchra Tawk
Publication Year :
2023
Publisher :
American Association for Cancer Research (AACR), 2023.

Abstract

Purpose:Tumor hypoxia is a paradigmatic negative prognosticator of treatment resistance in head and neck squamous cell carcinoma (HNSCC). The lack of robust and reliable hypoxia classifiers limits the adaptation of stratified therapies. We hypothesized that the tumor DNA methylation landscape might indicate epigenetic reprogramming induced by chronic intratumoral hypoxia.Experimental Design:A DNA-methylome–based tumor hypoxia classifier (Hypoxia-M) was trained in the TCGA (The Cancer Genome Atlas)-HNSCC cohort based on matched assignments using gene expression–based signatures of hypoxia (Hypoxia-GES). Hypoxia-M was validated in a multicenter DKTK-ROG trial consisting of human papillomavirus (HPV)–negative patients with HNSCC treated with primary radiochemotherapy (RCHT).Results:Although hypoxia-GES failed to stratify patients in the DKTK-ROG, Hypoxia-M was independently prognostic for local recurrence (HR, 4.3; P = 0.001) and overall survival (HR, 2.34; P = 0.03) but not distant metastasis after RCHT in both cohorts. Hypoxia-M status was inversely associated with CD8 T-cell infiltration in both cohorts. Hypoxia-M was further prognostic in the TCGA-PanCancer cohort (HR, 1.83; P = 0.04), underscoring the breadth of this classifier for predicting tumor hypoxia status.Conclusions:Our findings highlight an unexplored avenue for DNA methylation–based classifiers as biomarkers of tumoral hypoxia for identifying high-risk features in patients with HNSCC tumors.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....7ad5b4827e1ca5c7772ea7f9dd0edfc3
Full Text :
https://doi.org/10.1158/1078-0432.c.6626957.v1