Identification of a Biomarker Panel from Genome-Wide Methylation to Detect Early HPV-Associated Oropharyngeal Cancer.

Brittney L Dickey, Ryan M Putney, Michael J Schell, Anders E Berglund, Antonio L Amelio, Jimmy J Caudell, Christine H Chung, Anna R Giuliano
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Abstract

As oropharyngeal cancer (OPC) associated with human papillomavirus (HPV) increases in men, the need for a screening test to diagnose OPC early is crucial. This study agnostically identified differentially methylated CpG sites to identify additional biomarkers to improve screening for early OPC.DNA was extracted from oral gargles of 89 early cases and 108 frequency matched healthy controls, and processed for genome-wide methylation using the Illumina Infinium MethylationEPIC BeadChip. Selected sites were combined with our prior methylation data in the EPB41L3 gene (CpG sites 438, 427, and 425) and oral HPV16 and HPV18 status were considered as binary variables (positive/negative). Lasso regression identified CpG sites strongly associated with early OPC. ROC curves with AUC were generated. The panel was validated utilizing bootstrap resampling.Machine learning analyses identified 14 markers that are significantly associated with early OPC, including one EPB41L3 CpG site (438) and oral HPV16 status. A final model was trained on all available samples using the discovered panel and was able to predict early OPC compared with controls with an AUC of 0.970 on the training set. In the bootstrap validation sets, the average AUC was 0.935, indicating adequate internal validity.Our data suggest that this panel can detect OPC early, however external validation of this panel is needed. Further refinement of a panel of biomarkers to diagnose OPC earlier is urgently needed to prevent complex treatment of OPC and associated comorbidities, while reducing risk of recurrence.

Prevention relevance: This study identified biomarkers using genome-wide methylation to create a panel capable of discerning early oropharyngeal cancer (OPC) from those without OPC. Such a biomarker panel would be an effective tool to detect OPC early and prevent complications of treatment associated with later diagnosis.

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通过全基因组甲基化鉴定生物标记物面板,以检测早期与 HPV 相关的口咽癌。
随着与人类乳头状瘤病毒(HPV)相关的口咽癌(OPC)在男性中的发病率不断上升,需要一种筛查检验来早期诊断口咽癌至关重要。本研究通过人工鉴定不同的甲基化CpG位点来确定更多的生物标志物,以改善早期OPC的筛查。从 89 例早期病例和 108 例频率匹配的健康对照的口腔漱口水中提取 DNA,并使用 Illumina Infinium MethylationEPIC BeadChip 进行全基因组甲基化处理。所选位点与 EPB41L3 基因(CpG 位点 438、427 和 425)的先前甲基化数据相结合,口腔 HPV16 和 HPV18 状态被视为二元变量(阳性/阴性)。拉索回归确定了与早期 OPC 密切相关的 CpG 位点。生成了具有 AUC 的受体运算特征曲线 (ROC)。利用自举法重新取样对面板进行了验证。机器学习分析确定了 14 个与早期 OPC 显著相关的标记物,包括一个 EPB41L3 CpG 位点(438)和口腔 HPV16 状态。使用所发现的标记位点对所有可用样本进行了最终模型训练,在训练集上,该模型能够预测与对照组相比的早期OPC,AUC为0.970。在引导验证集上,平均 AUC 为 0.935,显示出足够的内部有效性。我们的数据表明,该小组可以早期检测出 OPC,但还需要对该小组进行外部验证。我们迫切需要进一步完善生物标志物面板,以便更早地诊断出 OPC,从而避免对 OPC 和相关并发症进行复杂的治疗,同时降低复发风险。
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