Department of Epidemiology, College of Public Health, University of Kentucky, Lexington, USA; Department of Medicine, Vanderbilt University Medical Cancer, Nashville, USA.
Department of Otolaryngology, Massachusetts Eye and Ear, Massachusetts General Hospital, Harvard Medical School, Boston, USA; Broad Institute of MIT and Harvard, Cambridge, USA.
Ann Oncol. 2022 Jun;33(6):638-648. doi: 10.1016/j.annonc.2022.03.005. Epub 2022 Mar 16.
A significant barrier to adoption of de-escalated treatment protocols for human papillomavirus-driven oropharyngeal cancer (HPV-OPC) is that few predictors of poor prognosis exist. We conducted the first large whole-genome sequencing (WGS) study to characterize the genetic variation of the HPV type 16 (HPV16) genome and to evaluate its association with HPV-OPC patient survival.
A total of 460 OPC tumor specimens from two large United States medical centers (1980-2017) underwent HPV16 whole-genome sequencing. Site-specific variable positions [single nucleotide polymorphisms (SNPs)] across the HPV16 genome were identified. Cox proportional hazards model estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for overall survival by HPV16 SNPs. Harrell C-index and time-dependent positive predictive value (PPV) curves and areas under the PPV curves were used to evaluate the predictive accuracy of HPV16 SNPs for overall survival.
A total of 384 OPC tumor specimens (83.48%) passed quality control filters with sufficient depth and coverage of HPV16 genome sequencing to be analyzed. Some 284 HPV16 SNPs with a minor allele frequency ≥1% were identified. Eight HPV16 SNPs were significantly associated with worse survival after false discovery rate correction (individual prevalence: 1.0%-5.5%; combined prevalence: 15.10%); E1 gene position 1053 [HR for overall survival (HR): 3.75, 95% CI 1.77-7.95; P = 0.0099]; L2 gene positions 4410 (HR: 5.32, 95% CI 1.91-14.81; P = 0.0120), 4539 (HR: 6.54, 95% CI 2.03-21.08; P = 0.0117); 5050 (HR: 6.53, 95% CI 2.34-18.24; P = 0.0030), and 5254 (HR: 7.76, 95% CI 2.41-24.98; P = 0.0030); and L1 gene positions 5962 (HR: 4.40, 95% CI 1.88-10.31; P = 0.0110) and 6025 (HR: 5.71, 95% CI 2.43-13.41; P = 0.0008) and position 7173 within the upstream regulatory region (HR: 9.90, 95% CI 3.05-32.12; P = 0.0007). Median survival time for patients with ≥1 high-risk HPV16 SNPs was 3.96 years compared with 18.67 years for patients without a high-risk SNP; log-rank test P < 0.001. HPV16 SNPs significantly improved the predictive accuracy for overall survival above traditional factors (age, smoking, stage, treatment); increase in C-index was 0.069 (95% CI 0.019-0.119, P < 0.001); increase in area under the PPV curve for predicting 5-year survival was 0.068 (95% CI 0.015-0.111, P = 0.008).
HPV16 genetic variation is associated with HPV-OPC prognosis and can improve prognostic accuracy.
人乳头瘤病毒(HPV)驱动的口咽癌(HPV-OPC)采用降级治疗方案的一个主要障碍是预后不良的预测因素很少。我们进行了首次大规模全基因组测序(WGS)研究,以描述 HPV16 基因组的遗传变异,并评估其与 HPV-OPC 患者生存的关系。
两个美国大型医疗中心(1980-2017 年)的 460 例 OPC 肿瘤标本进行了 HPV16 全基因组测序。确定了 HPV16 基因组中特定位置的单核苷酸多态性(SNP)。Cox 比例风险模型估计了 HPV16 SNP 对总生存率的风险比(HR)和 95%置信区间(CI)。Harrell C 指数和时间依赖性阳性预测值(PPV)曲线及其曲线下面积用于评估 HPV16 SNP 对总生存率的预测准确性。
通过 HPV16 基因组测序的足够深度和覆盖范围,质量控制过滤后有 384 例 OPC 肿瘤标本(83.48%)通过质量控制。确定了 284 个具有≥1%的次要等位基因频率的 HPV16 SNP。在假发现率校正后,有 8 个 HPV16 SNP 与较差的生存显著相关(个体患病率:1.0%-5.5%;联合患病率:15.10%);E1 基因位置 1053 [总生存率的 HR(HR):3.75,95%CI 1.77-7.95;P = 0.0099];L2 基因位置 4410(HR:5.32,95%CI 1.91-14.81;P = 0.0120),4539(HR:6.54,95%CI 2.03-21.08;P = 0.0117);5050(HR:6.53,95%CI 2.34-18.24;P = 0.0030)和 5254(HR:7.76,95%CI 2.41-24.98;P = 0.0030);L1 基因位置 5962(HR:4.40,95%CI 1.88-10.31;P = 0.0110)和 6025(HR:5.71,95%CI 2.43-13.41;P = 0.0008)以及上游调控区的位置 7173(HR:9.90,95%CI 3.05-32.12;P = 0.0007)。有≥1 个高危 HPV16 SNP 的患者的中位生存时间为 3.96 年,而无高危 SNP 的患者为 18.67 年;对数秩检验 P < 0.001。HPV16 SNP 显著提高了传统因素(年龄、吸烟、分期、治疗)以上的总体生存率预测准确性;C 指数增加 0.069(95%CI 0.019-0.119,P < 0.001);预测 5 年生存率的 PPV 曲线下面积增加 0.068(95%CI 0.015-0.111,P = 0.008)。
HPV16 遗传变异与 HPV-OPC 预后相关,可提高预后准确性。