Dataset Information

A risk prediction model for head and neck cancers incorporating lifestyle factors, HPV serology and genetic markers.

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.

SUBMITTER: Budhathoki S

PROVIDER: S-EPMC10006331 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

A risk prediction model for head and neck cancers incorporating lifestyle factors, HPV serology and genetic markers.

Budhathoki Sanjeev S Diergaarde Brenda B Liu Geoffrey G Olshan Andrew A Ness Andrew A Waterboer Tim T Virani Shama S Basta Patricia P Bender Noemi N Brenner Nicole N Dudding Tom T Hayes Neil N Hope Andrew A Huang Shao Hui SH Hueniken Katrina K Kanterewicz Beatriz B McKay James D JD Pring Miranda M Thomas Steve S Wisniewski Kathy K Thomas Sera S Brhane Yonathan Y Agudo Antonio A Alemany Laia L Lagiou Areti A Barzan Luigi L Canova Cristina C Conway David I DI Healy Claire M CM Holcatova Ivana I Lagiou Pagona P Macfarlane Gary J GJ Macfarlane Tatiana V TV Polesel Jerry J Richiardi Lorenzo L Robinson Max M Znaor Ariana A Brennan Paul P Hung Rayjean J RJ

International journal of cancer 20230201 10

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 ...[more]

PMID: 36694401

Similar Datasets

Project description:Human papillomaviruses (HPVs) are associated with nearly all cervical cancers (CCs), 20-30% of head and neck cancers (HNCs), and other cancers. Because HNCs also arise in HPV-negative patients, this type of cancer provides unique opportunities to define similarities and differences of HPV-positive versus HPV-negative cancers arising in the same tissue. Here, we describe genome-wide expression profiling of 84 HNCs, CCs and site-matched normal epithelial samples in which we used laser capture microdissection to enrich samples for tumor-derived versus normal epithelial cells. This analysis revealed that HPV+HNCs and CCs differed in their patterns of gene expression yet shared many changes compared to HPV-HNCs. Some of these shared changes were predicted, but many others were not. Notably, HPV+HNCs and CCs were found to be upregulated in their expression of a distinct and larger subset of cell cycle genes than observed in HPV-HNC. Moreover, HPV+ cancers over-expressed testis-specific genes that are normally expressed only in meiotic cells. Many, though not all, of the hallmark differences between HPV+HNC and HPV-HNC were a direct consequence of HPV and in particular the viral E6 and E7 oncogenes. This included a novel association of HPV oncogenes with testes specific gene expression. These findings in primary human tumors provide novel biomarkers for early detection of HPV+ and HPV- cancers, and emphasize the potential value of targeting E6 and E7 function, alone or combined with radiation and/or traditional chemotherapy, in the treatment of HPV+ cancers. Experiment Overall Design: All tissue samples were fresh frozen in liquid nitrogen and collected with patientsâ?? consent under approval of the Institutional Review Boards from all participating institutions. Each tissue sample was cryosectioned, and selected sections stained with hematoxylin/eosin, and reviewed to determine tumor content, pathological status, and freedom from necrosis and freezing artifacts. Epithelial cells from all normal samples and tumor cells from HNC or CC samples with less than 80% tumor were laser capture microdissected from adjacent sections using a PixCell II LCM system. For guidance, an adjacent section was briefly stained with hematoxylin to visualize tissue structure. Total RNA was extracted from sectioned and/or microdissected samples as follows: 1 ml of TRIzol (Invitrogen, Carlsbad, CA) was added to each tissue sample, homogenized by passing through a 20 gauge needle, and added to 0.2 ml chloroform. After centrifugation at 20,000 xg for 20 min at 4oC, RNA in the aqueous phase was precipitated with an equal volume of isopropanol for 30 min at 4oC, pelleted, and washed twice with cold 70% ethanol. Double strand (ds) cDNA was synthesized from this RNA using a SuperScript ds cDNA synthesis kit (Invitrogen) and T7 promoter-linked oligo (dT)24. Complementary RNA (cRNA) was synthesized from T7 promoter-linked ds cDNA using a MEGAscript high transcription kit (Ambion, Austin, TX). To obtain a sufficient cRNA for 2 microarray hybridizations, this amplification process was repeated. Second round cRNA was biotin labeled using a BioArray High Yield RNA Transcript Labeling Kit (Enzo Life Sciences, Farmingdale, NY) and stored at -80oC until hybridized. cRNA quality and quantity was determined by gel electrophoresis and UV spectrophotometry. Whole human gene expression was profiled using Affymetrix Human Genome U133 Plus 2.0 arrays.

Dataset Information

A risk prediction model for head and neck cancers incorporating lifestyle factors, HPV serology and genetic markers.

Publications

A risk prediction model for head and neck cancers incorporating lifestyle factors, HPV serology and genetic markers.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets