The rising incidence of human papillomavirus (HPV)-associated oropharyngeal squamous cell carcinoma (OPSCC) necessitates advancements in risk stratification to optimize treatment outcomes and improve the quality of life for patients. Despite its favorable prognosis compared to HPV-negative OPSCC, current clinical staging and biomarkers, such as p16 status, are limited in their ability to distinguish between high- and low-risk patients within HPV-associated OPSCC. This limitation results in the overtreatment of low-risk patients, exposing them to unnecessary toxicity, and the undertreatment of high-risk patients who require more aggressive interventions. This review critically evaluates current stratification methods, including clinical assessments, de-escalation trials, and candidate molecular biomarkers for risk stratification. Emerging approaches such as immune markers, viral genomic integration patterns, and other molecular markers offer promising avenues for enhanced prognostic accuracy. By integrating advanced risk stratification methods, tailored treatment approaches may one day be developed to balance oncologic efficacy with reduced treatment-related morbidity. This review underscores the need for continued research into predictive biomarkers and adaptive treatment strategies to better address the diverse risk profiles of HPV-associated OPSCC patients.
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http://dx.doi.org/10.3390/cancers17030357 | DOI Listing |
J Clin Lipidol
February 2025
Fatty Acid Research Institute, Sioux Falls, SD, USA (Drs Tintle, Marchioli, and Harris); Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA (Dr Harris).
Background: Accurate predictive tools are crucial for identifying patients at increased risk for atherosclerotic cardiovascular disease (ASCVD). The Pooled Cohort Equation (PCE) is commonly used to predict 10-year risk for ASCVD, but its accuracy remains imperfect.
Objective: This study examined the extent to which the omega-3 index (O3I; the proportion of eicosapentaenoic acid+docosahexaenoic acid in erythrocyte membranes) improved the predictive capability of PCE.
Zhong Nan Da Xue Xue Bao Yi Xue Ban
October 2024
Research for Genetic Epidemiology and Genomics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou Jiangsu 215123, China.
Objectives: Osteoporosis is characterized by decreased bone mass and damaged bone microstructure, often leading to fragility fractures. Low bone mineral density is a key risk factor for fractures. Serum cystatin C (CysC), an endogenous marker of glomerular filtration rate, is negatively correlated with bone mineral density and may be a potential risk factor for osteoporosis.
View Article and Find Full Text PDFBMJ Open
March 2025
Department of Preventive Medicine, Tokai University School of Medicine, Isehara, Japan.
Objectives: While there is growing evidence that physical activity reduces the risk of hepatocellular carcinoma (HCC), the impact of occupational physical activity and sedentary behaviour remains unclear. This study aimed to investigate the associations between occupational physical activity and sedentary behaviour and HCC risk.
Design: Matched case-control study.
Gastroenterology
March 2025
APC Microbiome Ireland, College of Medicine and Health, University College Cork, Cork, Ireland.
Inflammatory bowel disease (IBD) is marked by significant clinical heterogeneity, posing challenges for accurate diagnosis and personalized treatment strategies. Conventional approaches, such as endoscopy and histology, often fail to adequately and accurately predict medium and long-term outcomes, leading to suboptimal patient management. Artificial intelligence (AI) is emerging as a transformative force enabling standardized, accurate, and timely disease assessment and outcome prediction, including therapeutic response.
View Article and Find Full Text PDFAm J Obstet Gynecol
March 2025
Université Paris Cité, Institut Santé des femmes, U1153, Centre of Research In Epidemiology and Statistics (CRESS), Obstetrical, Perinatal and Paediatric Epidemiology Research Team (EPOpé), INSERM, INRAE, Paris, France; Department of Obstetrics and Gynecology, Hôpital Robert Debré, Assistance Publique-Hôpitaux de Paris, 48 Bd Sérurier, 75019 Paris, France.
Background: Macrosomia, classically defined by an arbitrary birthweight threshold, is associated with an increased risk of postpartum hemorrhage (PPH). However, some preliminary evidence suggests that lower birthweights may also be at increased risk. We hypothesized that birthweight, analyzed as a continuous variable, is significantly associated with the risk of severe postpartum hemorrhage, with the risk increasing not only at higher birthweights traditionally associated with macrosomia but also potentially at lower birthweights.
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