Sailer Verena, Holmes Emily Eva, Gevensleben Heidrun, Goltz Diane, Dröge Freya, Franzen Alina, Dietrich Jörn, Kristiansen Glen, Bootz Friedrich, Schröck Andreas, Dietrich Dimo
Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY USA.
Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY USA.
Clin Epigenetics. 2017 Feb 2;9:12. doi: 10.1186/s13148-017-0317-7. eCollection 2017.
Molecular biomarkers assisting risk-group assignment and subsequent treatment stratification are urgently needed for patients with squamous cell cancer of the head and neck region (HNSCC). Aberrant methylation is a frequent event in cancer and, therefore, a promising source for potential biomarkers. Here, the methylation status of the paired-like homeodomain transcription factor 3 () was evaluated in HNSCC.
Using a quantitative real-time PCR, methylation was assessed in a cohort of 326 HNSCC patients treated for localized or locally advanced disease (training cohort). The results were validated with Infinium HumanMethylation450 BeadChip data from a 528 HNSCC patient cohort (validation cohort) generated by The Cancer Genome Atlas (TCGA) Research Network.
methylation was significantly higher methylated in tumor compared to normal adjacent tissue (NAT; training cohort: median methylation NAT 32.3%, tumor 71.8%, < 0.001; validation cohort: median methylation NAT 16.9%, tumor 35.9%, < 0.001). methylation was also significantly correlated with lymph node status both in the training ( = 0.006) and validation ( < 0.001) cohort. methylation was significantly higher in HPV-associated (p16-positive) tumors compared to p16-negative tumors (training cohort: 73.7 vs. 66.2%, = 0.013; validation cohort: 40.0 vs. 33.1%, = 0.015). Hypermethylation was significantly associated with the risk of death (training cohort: hazard ratio (HR) = 1.80, [95% confidence interval (CI) 1.20-2.69], = 0.005; validation cohort: HR = 1.43, [95% CI 1.05-1.95], = 0.022). In multivariate Cox analyses, added independent prognostic information. Messenger RNA (mRNA) expression analysis revealed an inverse correlation with methylation in the TCGA cohort.
DNA methylation is an independent prognostic biomarker for overall survival in patients with HNSCC and might aid in the process of risk stratification for individualized treatment.
头颈部鳞状细胞癌(HNSCC)患者迫切需要分子生物标志物来辅助风险分组及后续的治疗分层。异常甲基化在癌症中很常见,因此是潜在生物标志物的一个有前景的来源。在此,对HNSCC中配对样同源结构域转录因子3()的甲基化状态进行了评估。
使用定量实时PCR,对326例接受局部或局部晚期疾病治疗的HNSCC患者队列(训练队列)的甲基化进行评估。结果通过癌症基因组图谱(TCGA)研究网络生成的528例HNSCC患者队列(验证队列)的Infinium HumanMethylation450 BeadChip数据进行验证。
与相邻正常组织(NAT)相比,肿瘤中的甲基化显著更高(训练队列:NAT甲基化中位数32.3%,肿瘤71.8%,<0.001;验证队列:NAT甲基化中位数16.9%,肿瘤35.9%,<0.001)。在训练队列(=0.006)和验证队列(<0.001)中,甲基化也与淋巴结状态显著相关。与p16阴性肿瘤相比,HPV相关(p16阳性)肿瘤中的甲基化显著更高(训练队列:73.7%对66.2%,=0.013;验证队列:40.0%对33.1%,=0.015)。高甲基化与死亡风险显著相关(训练队列:风险比(HR)=1.80,[95%置信区间(CI)1.20 - 2.69],=0.005;验证队列:HR = 1.43,[95% CI 1.05 - 1.95],=0.022)。在多变量Cox分析中,增加了独立的预后信息。信使核糖核酸(mRNA)表达分析显示在TCGA队列中与甲基化呈负相关。
DNA甲基化是HNSCC患者总生存的独立预后生物标志物,可能有助于个体化治疗的风险分层过程。