AI Article Synopsis
- Traditional methods for selecting prognostic biomarkers often fail to validate in different populations, necessitating better strategies for identifying reliable classifiers.
- This study introduced a new approach using DNA methylation analysis to group CpG dinucleotides by genomic features, revealing a specific hypermethylation profile linked to poor survival in head and neck squamous cell carcinoma.
- The results highlight potential therapeutic targets in the cancer and could help identify patients with worse prognoses who might benefit from more intense treatment options.*
Article Abstract
Panels of prognostic biomarkers selected using candidate approaches often do not validate in independent populations, so additional strategies are needed to identify reliable classifiers. In this study, we used an array-based approach to measure DNA methylation and applied a novel method for grouping CpG dinucleotides according to well-characterized genomic sequence features. A hypermethylation profile among 13 CpG loci, characterized by polycomb group target genes, mammalian interspersed repeats, and transcription factor-binding sites (PcG/MIR/TFBS), was associated with reduced survival (HR, 3.98; P = 0.001) in patients with head and neck squamous cell carcinoma. This association was driven by CpGs associated with the TAP1 and ALDH3A1 genes, findings that were validated in an independent patient group (HR, 2.86; P = 0.04). Together, the data not only elucidate new potential targets for therapeutic intervention in head and neck cancer but also may aid in the identification of poor prognosis patients who may require more aggressive treatment regimens.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3650639 | PMC |
| http://dx.doi.org/10.1158/0008-5472.CAN-11-4121-T | DOI Listing |
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