K A Lang Kuhs1, D L Faden2, L Chen3, D K Smith4, M Pinheiro5, C B Wood6, S Davis7, M Yeager8, J F Boland8, M Cullen8, M Steinberg8, S Bass8, X Wang9, P Liu10, M Mehrad11, T Tucker12, J S Lewis13, R L Ferris14, L Mirabello5. 1. Department of Epidemiology, College of Public Health, University of Kentucky, Lexington, USA; Department of Medicine, Vanderbilt University Medical Cancer, Nashville, USA. Electronic address: krystle.kuhs@uky.edu. 2. Department of Otolaryngology, Massachusetts Eye and Ear, Massachusetts General Hospital, Harvard Medical School, Boston, USA; Broad Institute of MIT and Harvard, Cambridge, USA. 3. Division of Cancer Biostatistics, Department of Internal Medicine and Biostatistics and Bioinformatics Shared Resource Facility, Markey Cancer Center, University of Kentucky, Lexington, USA. 4. Department of Biostatistics, Vanderbilt University Medical Center, Nashville, USA. 5. Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, USA. 6. Department of Otolaryngology - Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, USA; Department of Otolaryngology - Head and Neck Surgery, University of Tennessee Health Science Center, Memphis, USA. 7. Department of Otolaryngology - Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, USA. 8. Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, USA; Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, USA. 9. Department of Pharmacology and Regenerative Medicine, The University of Illinois at Chicago, Chicago, USA. 10. Department of Radiation Oncology, Washington University School of Medicine, St. Louis, USA. 11. Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, USA. 12. Department of Epidemiology, College of Public Health, University of Kentucky, Lexington, USA. 13. Department of Otolaryngology - Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, USA; Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, USA. 14. University of Pittsburgh Medical Center Hillman Cancer Center, Pittsburgh, USA; Department of Otolaryngology-Head and Neck Surgery, University of Pittsburgh Medical Center, Pittsburgh, USA.
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 (HRos): 3.75, 95% CI 1.77-7.95; Pfdr = 0.0099]; L2 gene positions 4410 (HRos: 5.32, 95% CI 1.91-14.81; Pfdr = 0.0120), 4539 (HRos: 6.54, 95% CI 2.03-21.08; Pfdr = 0.0117); 5050 (HRos: 6.53, 95% CI 2.34-18.24; Pfdr = 0.0030), and 5254 (HRos: 7.76, 95% CI 2.41-24.98; Pfdr = 0.0030); and L1 gene positions 5962 (HRos: 4.40, 95% CI 1.88-10.31; Pfdr = 0.0110) and 6025 (HRos: 5.71, 95% CI 2.43-13.41; Pfdr = 0.0008) and position 7173 within the upstream regulatory region (HRos: 9.90, 95% CI 3.05-32.12; Pfdr = 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.
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 (HRos): 3.75, 95% CI 1.77-7.95; Pfdr = 0.0099]; L2 gene positions 4410 (HRos: 5.32, 95% CI 1.91-14.81; Pfdr = 0.0120), 4539 (HRos: 6.54, 95% CI 2.03-21.08; Pfdr = 0.0117); 5050 (HRos: 6.53, 95% CI 2.34-18.24; Pfdr = 0.0030), and 5254 (HRos: 7.76, 95% CI 2.41-24.98; Pfdr = 0.0030); and L1 gene positions 5962 (HRos: 4.40, 95% CI 1.88-10.31; Pfdr = 0.0110) and 6025 (HRos: 5.71, 95% CI 2.43-13.41; Pfdr = 0.0008) and position 7173 within the upstream regulatory region (HRos: 9.90, 95% CI 3.05-32.12; Pfdr = 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.
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