Medicine and Health Sciences Commons^™

Sex Differences In Determinants Of Covid-19 Severe Outcomes – Findings From The National Covid Cohort Collaborative (N3c), Yilin Yoshida, San Chu, Sarah Fox, Yuanhao Zu, Dragana Lovre, Joshua L. Denson, Lucio Miele, Franck Mauvais-Jarvis

School of Medicine Faculty Publications

Objective: The impact of comorbidities and biomarkers on COVID-19 severity vary by sex but have not yet been verified in population-based studies. We examined the association of comorbidities, inflammatory biomarkers, and severe outcomes in men and women hospitalized for COVID-19. Design: This is a retrospective cohort analysis based on the National COVID Cohort Collaborative (N3C). We included 574,391 adult patients admitted for COVID-19 at hospitals or emergency rooms between 01/01/2020 and 12/31/2021. Methods: We defined comorbidities at or before the first admission for COVID-19 by Charlson Comorbidity Index (CCI) and CCI components. We used the averaged lab values taken within …

Immune Checkpoint Inhibitors In Luminal Gastrointestinal Malignancies: Going Beyond Msi-H/Dmmr, Tmb And Pd-L1, Daniel S. Lefler, Adam E. Snook, Babar Bashir

Department of Medical Oncology Faculty Papers

In luminal gastrointestinal tumors, immune checkpoint inhibitors (ICIs) targeting PD-1, PD-L1 and CTLA-4 have been investigated in multiple settings. The indications for these drugs are primarily dependent on specific biomarkers that imply immunogenicity: overexpression of PD-L1, tumor mutational burden, loss of mismatch repair proteins (dMMR) and/or high microsatellite instability status. Although these markers can be both predictive and prognostic, there is variability in how they are measured and used to guide therapies. Moreover, the use of ICIs can be further refined with a better understanding of the tumor microenvironment and interactions with other available therapies. The purpose of this review …

Machine Learning Analyses Of Highly-Multiplexed Immunofluorescence Identifies Distinct Tumor And Stromal Cell Populations In Primary Pancreatic Tumors, Krysten Vance, Alphan Alitinok, Seth Winfree, Heather Jensen Smith, Benjamin Swanson Md, Phd, Paul M. Grandgenett, Kelsey Klute, Daniel J Crichton, Michael A. Hollingsworth

Journal Articles: Eppley Institute

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a formidable challenge for patients and clinicians.

OBJECTIVE: To analyze the distribution of 31 different markers in tumor and stromal portions of the tumor microenvironment (TME) and identify immune cell populations to better understand how neoplastic, non-malignant structural, and immune cells, diversify the TME and influence PDAC progression.

METHODS: Whole slide imaging (WSI) and cyclic multiplexed-immunofluorescence (MxIF) was used to collect 31 different markers over the course of nine distinctive imaging series of human PDAC samples. Image registration and machine learning algorithms were developed to largely automate an imaging analysis pipeline identifying distinct cell …