Background: Since most HPV-associated disease occurs in the tonsillar-related areas (TRA) - palatine and lingual tonsils, the effect of HPV on survival in non-tonsillar oropharyngeal subsites (nTRA) is not well established. The objective of this study was to use a large population-based cohort to investigate the survival impact of HPV in nTRA subsites versus TRA subsites.
Methods: This SEER database study was conducted by stratifying the HPV-positive oropharyngeal cancer cohort into two primary groups, TRA and nTRA.
Results: HPV-positive squamous cell cancer was significantly more common in TRAs (73%) compared to nTRAs (31.2%, p < 0.001). After controlling for age, treatment, stage, race, and income, patients with HPV-positive disease in nTRAs had a worse cause-specific survival (CSS) than individuals with HPV-positive disease in TRAs (HR = 2.16, 95% CI 1.20-3.86, p = 0.01).
Conclusion: Patients with HPV-positive OPSCC in nTRAs had poorer survival outcomes compared to patients with HPV-positive OPSCC in TRAs.
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http://dx.doi.org/10.1016/j.amjoto.2019.05.006 | DOI Listing |
J Clin Virol
January 2025
Center for Immunotherapy and Precision Immuno-Oncology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA; Department of Radiation Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA. Electronic address:
Background: Plasma cell-free Human Papillomavirus DNA (cfHPVDNA) is a biomarker for oropharyngeal carcinoma. Existing diagnostics may be limited by inadequate sensitivity or high cost/complexity for longitudinal monitoring.
Objectives: We hypothesized that sensitive and specific plasma cfHPVDNA detection may be achieved via a highly-multiplex qPCR method.
Int J Mol Sci
December 2024
Laboratorio de Oncovirología, Departamento de Ciencias Biomédicas, Facultad de Medicina, Universidad de Tarapacá, Arica 1000000, Chile.
High-risk human papillomaviruses (HR-HPVs) are the etiological agents of cervical, anogenital, and a subset of oropharyngeal cancers. In addition, HR-HPVs have been detected in lung carcinomas worldwide, even though the role of these viruses in this type of cancer is not fully understood. This study evaluated the presence of HPV in a cohort of 204 lung cancer cases by multiplex polymerase chain reaction (PCR)-Luminex.
View Article and Find Full Text PDFCancers (Basel)
December 2024
Laboratory of Experimental Radiotherapy, Department of Oncology, University of Leuven, 3000 Leuven, Belgium.
Background: This study aimed to explore the differences in quantitative diffusion-weighted (DW) MRI parameters in oropharyngeal squamous cell carcinoma (OPC) based on Human Papillomavirus (HPV) status before and during radiotherapy (RT).
Methods: Echo planar DW sequences acquired before and during (chemo)radiotherapy (CRT) of 178 patients with histologically proven OPC were prospectively analyzed. The volumetric region of interest (ROI) was manually drawn on the apparent diffusion coefficient (ADC) map, and 105 DW-MRI radiomic parameters were extracted.
Cancers (Basel)
December 2024
Department of Radiation Oncology, Penn State College of Medicine, Hershey, PA 17033, USA.
Limited metastatic squamous cell carcinoma of the oropharynx (OPC) lacks clear management guidelines, especially for HPV-associated disease. The objective of this study was to investigate if primary site radiotherapy (RT) benefits overall survival in limited metastatic OPC. Utilizing the National Cancer Database (NCDB), patients aged 18-90 with OPC presenting as cM1 with limited metastatic disease to one distant site were identified.
View Article and Find Full Text PDFPathologica
December 2024
Department of Medicine and Health Sciences "V. Tiberio", University of Molise, Campobasso, Italy.
HPV status is an important prognostic factor in oropharyngeal squamous cell carcinoma (OPSCC), with HPV-positive tumors associated with better overall survival. To determine HPV status, we rely on the immunohistochemical investigation for expression of the P16 protein, which must be associated with molecular investigation for the presence of viral DNA. We aim to define a criterion based on image analysis and machine learning to predict HPV status from hematoxylin/eosin stain.
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