Objective: The International Agency for Research on Cancer has classified 13 infectious agents as carcinogenic or probably carcinogenic to humans. We aimed to estimate the percentage (ie, population-attributable fraction) and number of incident cancer cases in Texas in 2015 that were attributable to oncogenic infections, overall and by race/ethnicity.
Methods: We calculated population-attributable fractions for cancers attributable to human papillomavirus (HPV), , hepatitis C virus (HCV), hepatitis B virus (HBV), and human herpesvirus 8 (HHV-8) infections using prevalence estimates from National Health and Nutrition Examination Survey laboratory data and relative risks associated with infection from previous epidemiological studies. The Texas Cancer Registry provided cancer incidence data.
Results: We estimated that 3603 excess cancer cases, or 3.5% of all cancers diagnosed in 2015, among adults aged ≥25 in Texas were attributable to oncogenic infections. Hispanic adults had the highest proportion of cancer cases attributable to infections (5.6%), followed by non-Hispanic Black (5.4%) and non-Hispanic White (2.3%) adults. HPV infection caused the highest proportion of all cancer cases (1.8%) compared with other oncogenic infections (HCV, 0.8%; , 0.5%; HBV, 0.3%; HHV-8, 0.1%). Hispanic adults had the highest proportions of all cancers caused by HPV infection (2.6%) and (1.1%), and non-Hispanic Black adults had the highest proportions of all cancers caused by HCV infection (1.7%), HBV infection (0.7%), and HHV-8 (0.3%).
Conclusion: Preventable oncogenic infections contribute to cancer incidence in Texas and may affect racial/ethnic minority groups disproportionately. Infection control and prevention should be stressed as an important component of cancer prevention.
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http://dx.doi.org/10.1177/0033354920954497 | DOI Listing |
BMC Med Genomics
January 2025
Illumina Cambridge Ltd., Granta Park, Great Abington, Cambridge, UK.
Rearrangements involving the DUX4 gene (DUX4-r) define a subtype of paediatric and adult acute lymphoblastic leukaemia (ALL) with a favourable outcome. Currently, there is no 'standard of care' diagnostic method for their confident identification. Here, we present an open-source software tool designed to detect DUX4-r from short-read, whole-genome sequencing (WGS) data.
View Article and Find Full Text PDFBMC Cancer
January 2025
Department of Medicine, Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada.
Background: Integrating germline genetic testing (GGT) recommendations from tumor testing into hereditary cancer clinics and precision oncology trials presents challenges that require multidisciplinary expertise and infrastructure. While there have been advancements in standardizing molecular tumor boards, the implementation of tumor profiling for germline-focused assessments has only recently gained momentum. However, this progress remains inconsistent across institutions, largely owing to a lack of systematic approaches for managing these findings.
View Article and Find Full Text PDFSci Rep
January 2025
First Department of Medicine, Medical School, University of Pécs, Ifjúság Útja 13, 7624, Pécs, Hungary.
Both acute kidney injury and chronic kidney disease are risk factors for many outcomes of gastrointestinal bleeding (GIB). These are associated with higher mortality, longer hospitalisation, and greater need for transfusion in case of overt GIB. Our study aimed to further evaluate the role of kidney function in several clinical outcomes of GIB patients.
View Article and Find Full Text PDFNPJ Precis Oncol
January 2025
Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), School of Computing, University of Leeds, Leeds, UK.
Histopathology foundation models show great promise across many tasks, but analyses have been limited by arbitrary hyperparameters. We report the most rigorous single-task validation study to date, specifically in the context of ovarian carcinoma morphological subtyping. Attention-based multiple instance learning classifiers were compared using three ImageNet-pretrained encoders and fourteen foundation models, each trained with 1864 whole slide images and validated through hold-out testing and two external validations (the Transcanadian Study and OCEAN Challenge).
View Article and Find Full Text PDFHead Neck Pathol
January 2025
Department of Oral and Maxillofacial Pathology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.
Purpose: This study aimed to investigate the role of DNA ploidy and proliferation index in distinguishing ameloblastoma (AB) from ameloblastic carcinoma (AC).
Methods: The study included 29 ACs, 6 conventional ABs that transformed into ACs, and a control cohort of 20 conventional ABs. The demographics and clinicopathologic details of the included cases were summarised and compared.
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