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人类乳头瘤病毒 16 型基因组内的遗传变异与口咽癌的预后相关。

Genetic variation within the human papillomavirus type 16 genome is associated with oropharyngeal cancer prognosis.

机构信息

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.

出版信息

Ann Oncol. 2022 Jun;33(6):638-648. doi: 10.1016/j.annonc.2022.03.005. Epub 2022 Mar 16.

Abstract

PURPOSE

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.

PATIENTS AND METHODS

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.

RESULTS

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).

CONCLUSIONS

HPV16 genetic variation is associated with HPV-OPC prognosis and can improve prognostic accuracy.

摘要

目的

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。

方法

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。

结果

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)。

结论

HPV16 遗传变异与 HPV-OPC 预后相关,可提高预后准确性。

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