A risk prediction model for head and neck cancers incorporating lifestyle factors, HPV serology and genetic markers. Issue 10 (1st February 2023)

• Record Type: Journal Article
• Authors: Budhathoki, Sanjeev; Diergaarde, Brenda; Liu, Geoffrey; Olshan, Andrew; Ness, Andrew; Waterboer, Tim; Virani, Shama; Basta, Patricia; Bender, Noemi; Brenner, Nicole; Dudding, Tom; Hayes, Neil; Hope, Andrew; Huang, Shao Hui; Hueniken, Katrina; Kanterewicz, Beatriz; McKay, James D.; Pring, Miranda; Thomas, Steve; Wisniewski, Kathy; Thomas, Sera; Brhane, Yonathan; Agudo, Antonio; Alemany, Laia; Lagiou, Areti; Barzan, Luigi; Canova, Cristina; Conway, David I.; Healy, Claire M.; Holcatova, Ivana; Lagiou, Pagona; Macfarlane, Gary J.; Macfarlane, Tatiana V.; Polesel, Jerry; Richiardi, Lorenzo; Robinson, Max; Znaor, Ariana; Brennan, Paul; Hung, Rayjean J.;
• Is Part Of: International journal of cancer. Volume 152:Issue 10(2023)
• Page Start: 2069
• Page End: 2080
• Publication Date: 2023-02-01
• Subjects: head and neck cancer risk -- HPV serostatus -- polygenic risk score -- risk prediction models; Cancer -- Periodicals; Cancer -- Prevention -- Periodicals; 616.994
• DOI: 10.1002/ijc.34444
• Languages: English
• ISSNs: 0020-7136

Abstract

Abstract: Head and neck cancer is often diagnosed late and prognosis for most head and neck cancer patients remains poor. To aid early detection, we developed a risk prediction model based on demographic and lifestyle risk factors, human papillomavirus (HPV) serological markers and genetic markers. A total of 10 126 head and neck cancer cases and 5254 controls from five North American and European studies were included. HPV serostatus was determined by antibodies for HPV16 early oncoproteins (E6, E7) and regulatory early proteins (E1, E2, E4). The data were split into a training set (70%) for model development and a hold‐out testing set (30%) for model performance evaluation, including discriminative ability and calibration. The risk models including demographic, lifestyle risk factors and polygenic risk score showed a reasonable predictive accuracy for head and neck cancer overall. A risk model that also included HPV serology showed substantially improved predictive accuracy for oropharyngeal cancer (AUC = 0.94, 95% CI = 0.92‐0.95 in men and AUC = 0.92, 95% CI = 0.88‐0.95 in women). The 5‐year absolute risk estimates showed distinct trajectories by risk factor profiles. Based on the UK Biobank cohort, the risks of developing oropharyngeal cancer among 60 years old and HPV16 seropositive in the next 5 years ranged from 5.8% to 14.9% with an average of 8.1% for men, 1.3% to 4.4% with an average of 2.2% for women. Absolute risk was generally higher among individuals with heavy smoking, heavy drinking, HPV seropositivity and those with higher polygenic risk score. These risk models may be helpful for identifying people at high risk of developing head and neck cancer. Abstract : What's new? The prognosis for head and neck cancer remains poor, partly because it is often diagnosed late. As a way to boost early detection, the authors here describe a risk prediction model based on demographic and lifestyle risk factors, human papillomavirus (HPV) serological markers and genetic markers. The risk model was trained on five large datasets from Europe and North America and showed excellent predictive accuracy. They calculated 5‐year absolute risk estimates using the UK Biobank cohort. Absolute risk increased with older age, HPV seropositivity and heavy smoking or drinking. This model could help identify patients for surveillance or prevention efforts.