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Hosted on Acast. See acast.com/privacy for more information.
This episode’s guest, Dr. David Chapel, was the recipient of the 2020 USCAP Stephen Vogel Award for his research as a trainee in the University of Chicago! Here, he discusses his recent report on a multi-institutional cohort of 225 malignant peritoneal mesotheliomas, assessed for 21 clinical, morphologic, and immunohistochemical potential prognostic parameters. The exemplary study, published in Modern Pathology, clarifies the complex interaction of clinical and pathologic features in peritoneal mesothelioma and validates the prognostic significance of a standardized nuclear grading system.
Study by Chapel et al, Malignant peritoneal mesothelioma: prognostic significance of clinical and pathologic parameters and validation of a nuclear-grading system in a multi-institutional series of 225 cases. Modern Pathology, 34, 380-395, 2021. https://www.nature.com/articles/s41379-020-00688-4
APOBEC3B (A3B) is a newly recognized endogenous source of mutations in a range of human cancers by inflicting C-to-T or C-to-G base substitutions in 5′-TCA/T trinucleotide
motifs. In this episode, Drs. Harris and Argyris discuss the impact of their recent findings on the role of APOBEC3A in Head and Neck Squamous Cancer. Study by Argyris et al, Endogenous APOBEC3B overexpression characterizes HPV-positive and HPV-negative oral epithelial dysplasias and head and neck cancers. Modern Pathology, 34, 280-290, 2020.
Dr. Netto discusses with his two guests, Dr. Peter MCaffrey from the UTMB in Galveston and Dr. Adam Booth, their publication on developing a machine learning model using 5 serum
chemistry laboratory parameters for the prediction of death from COVID-19. The discussion is followed by a conversation on the exciting role of AI and social media in Pathology given the unique expertise of the guests. Study by Booth et al, Development of a prognostic model for mortality in COVID-19 infection using machine learning. Modern Pathology, 2020. https://www.nature.com/articles/s41379-020-00700-x
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