4.7 Article

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

Journal

CLINICAL CANCER RESEARCH
Volume 29, Issue 16, Pages 3051-3064

Publisher

AMER ASSOC CANCER RESEARCH
DOI: 10.1158/1078-0432.CCR-22-3790

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This study suggests that the DNA methylation landscape of tumor cells may indicate epigenetic changes caused by chronic tumor hypoxia. The researchers developed a tumor hypoxia classifier (Hypoxia-M) based on DNA methylation profiles, which showed independent prognostic effects in patients with head and neck squamous cell carcinoma (HNSCC). These findings underscore the importance of DNA methylation-based classifiers as biomarkers of tumor hypoxia.
◥ Purpose: Tumor hypoxia is a paradigmatic negative prognosti-cator 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 hypoth-esized that the tumor DNA methylation landscape might indicate epigenetic reprogramming induced by chronic intratumoral hypoxia. Experimental Design: A DNA-methylome-based tumor hyp-oxia 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 con-sisting 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 1/4 0.001) and overall survival (HR, 2.34; P 1/4 0.03) but not distant metastasis after RCHT in both cohorts. Hyp-oxia-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 1/4 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 hyp-oxia for identifying high-risk features in patients with HNSCC tumors. See related commentary by Heft Neal and Brenner, p. 2954

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