Department of Cancer Epidemiology, Center for Immunization and infection Research in Cancer, Moffitt Cancer Center, Tampa, Florida.
Department of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, Florida.
Cancer Prev Res (Phila). 2024 Apr 2;17(4):169-176. doi: 10.1158/1940-6207.CAPR-23-0317.
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.
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.
随着与人类乳头瘤病毒(HPV)相关的口咽癌(OPC)在男性中发病率的增加,需要一种筛查试验来早期诊断 OPC。本研究采用无偏倚方法鉴定差异甲基化 CpG 位点,以发现额外的生物标志物来改善早期 OPC 的筛查。
从 89 例早期病例和 108 例频率匹配的健康对照者的口腔漱口液中提取 DNA,并用 Illumina Infinium MethylationEPIC BeadChip 进行全基因组甲基化处理。选择的位点与我们之前在 EPB41L3 基因中的甲基化数据(CpG 位点 438、427 和 425)相结合,并将口腔 HPV16 和 HPV18 状态视为二分类变量(阳性/阴性)。使用 Lasso 回归鉴定与早期 OPC 强烈相关的 CpG 位点。生成具有 AUC 的 ROC 曲线。利用 bootstrap 重采样对该面板进行验证。
机器学习分析鉴定出 14 个与早期 OPC 显著相关的标志物,包括 EPB41L3 基因的一个 CpG 位点(438)和口腔 HPV16 状态。使用发现的面板在所有可用样本上训练最终模型,并能够使用 AUC 为 0.970 来区分早期 OPC 与对照组。在 bootstrap 验证集中,平均 AUC 为 0.935,表明内部有效性良好。
该面板可早期检测 OPC,但需要进行外部验证。迫切需要进一步细化诊断 OPC 的生物标志物面板,以预防 OPC 及其相关合并症的复杂治疗,同时降低复发风险。