{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Budhathoki S"],"funding":["Cancer Research UK","NIDCR NIH HHS","Programme Grants for Applied Research","University of Pittsburgh","National Cancer Institute","National Institute for Health Research (NIHR)","National Institute of Dental and Craniofacial Research","National Institutes of Health","Princess Margaret Hospital Foundation","Canadian Cancer Society Research Institute"],"pagination":["2069-2080"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10006331"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["152(10)"],"pubmed_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"],"journal":["International journal of cancer"],"pubmed_title":["A risk prediction model for head and neck cancers incorporating lifestyle factors, HPV serology and genetic markers."],"pmcid":["PMC10006331"],"funding_grant_id":["RP‐PG‐0707‐10034","C18281/A19169","P30CA047904","R01 DE025712","RP-PG-0707-10034","1X01HG007780‐0","R01‐CA90731","P50CA097190"],"pubmed_authors":["Diergaarde B","Hayes N","Agudo A","Ness A","Macfarlane GJ","Holcatova I","Brhane Y","Hope A","Wisniewski K","Thomas S","Virani S","Waterboer T","Hung RJ","Huang SH","Lagiou P","Pring M","Dudding T","McKay JD","Conway DI","Healy CM","Znaor A","Olshan A","Brenner N","Brennan P","Robinson M","Kanterewicz B","Lagiou A","Macfarlane TV","Polesel J","Richiardi L","Barzan L","Budhathoki S","Alemany L","Bender N","Basta P","Hueniken K","Canova C","Liu G"],"additional_accession":[]},"is_claimable":false,"name":"A risk prediction model for head and neck cancers incorporating lifestyle factors, HPV serology and genetic markers.","description":"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","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 May","modification":"2025-04-05T10:54:28.585Z","creation":"2025-04-05T10:54:28.585Z"},"accession":"S-EPMC10006331","cross_references":{"pubmed":["36694401"],"doi":["10.1002/ijc.34444"]}}