Richard A. Moffitt
A5022550153- Pancreatic and Hepatic Oncology Research
- Cancer Genomics and Diagnostics
- COVID-19 Clinical Research Studies
- Long-Term Effects of COVID-19
- Cancer Cells and Metastasis
- Machine Learning in Healthcare
- Epigenetics and DNA Methylation
- Diabetes and associated disorders
- COVID-19 and healthcare impacts
- Glioma Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- AI in cancer detection
- Intensive Care Unit Cognitive Disorders
- Single-cell and spatial transcriptomics
- Renal cell carcinoma treatment
- Cancer, Hypoxia, and Metabolism
- Neuroendocrine Tumor Research Advances
- Infectious Encephalopathies and Encephalitis
- Pancreatitis Pathology and Treatment
- Diabetes Management and Research
- Diabetes Treatment and Management
- SARS-CoV-2 and COVID-19 Research
- Cell Image Analysis Techniques
- Respiratory viral infections research
- Pancreatic function and diabetes
Emory University
2007-2025
Stony Brook University
2017-2024
Collaborative Research Group
2024
Cohort (United Kingdom)
2024
Stony Brook Medicine
2018-2024
Johns Hopkins University
2014-2023
Stony Brook School
2019-2021
State University of New York
2018-2021
UNC Lineberger Comprehensive Cancer Center
2014-2020
Segeberger Kliniken
2020
Pancreatic cancer is the most lethal common solid malignancy. Systemic therapies are often ineffective, and predictive biomarkers to guide treatment urgently needed. We generated a pancreatic patient-derived organoid (PDO) library that recapitulates mutational spectrum transcriptional subtypes of primary cancer. New driver oncogenes were nominated transcriptomic analyses revealed unique clusters. PDOs exhibited heterogeneous responses standard-of-care chemotherapeutics investigational...
Purpose: To perform real-time whole genome sequencing (WGS) and RNA (RNASeq) of advanced pancreatic ductal adenocarcinoma (PDAC) to identify predictive mutational transcriptional features for better treatment selection.Experimental Design: Patients with PDAC were prospectively recruited prior first-line combination chemotherapy. Fresh tumor tissue was acquired by image-guided percutaneous core biopsy WGS RNASeq. Laser capture microdissection performed all cases. Primary endpoint feasibility...
Clinically relevant subtypes exist for pancreatic ductal adenocarcinoma (PDAC), but molecular characterization is not yet standard in clinical care. We implemented a biopsy protocol to perform time-sensitive whole-exome sequencing and RNA patients with advanced PDAC. Therapeutically genomic alterations were identified 48% (34/71) pathogenic/likely pathogenic germline 18% (13/71) of patients. Overall, 30% (21/71) enrolled experienced change management as result data. Twenty-six had and/or...
The National COVID Cohort Collaborative (N3C) is a centralized, harmonized, high-granularity electronic health record repository that the largest, most representative COVID-19 cohort to date. This multicenter data set can support robust evidence-based development of predictive and diagnostic tools inform clinical care policy.
Post-acute sequelae of SARS-CoV-2 infection, known as long COVID, have severely affected recovery from the COVID-19 pandemic for patients and society alike. Long COVID is characterised by evolving, heterogeneous symptoms, making it challenging to derive an unambiguous definition. Studies electronic health records are a crucial element US National Institutes Health's RECOVER Initiative, which addressing urgent need understand identify treatments, accurately who has it-the latter aim this study.
Abstract Purpose: Molecular subtyping for pancreatic cancer has made substantial progress in recent years, facilitating the optimization of existing therapeutic approaches to improve clinical outcomes cancer. With advances treatment combinations and choices, it is becoming increasingly important determine ways place patients on best therapies upfront. Although various molecular systems have been proposed, consensus regarding proposed subtypes, as well their relative utility, remains largely...
// Marybeth Anderson 1, 2 , Raoud Marayati Richard Moffitt and Jen Yeh 2, 3 1 Curriculum in Genetics & Molecular Biology, The University of North Carolina, Chapel Hill, NC Lineberger Comprehensive Cancer Center, Departments Surgery Pharmacology, Correspondence to: Yeh, email: jjyeh@med.unc.edu Keywords: pancreatic cancer, hexokinase glycolysis, metastasis Received: January 19, 2016     Accepted: May 02, Published: June 01, 2016 ABSTRACT Pancreatic ductal...
Stratification of patients with post-acute sequelae SARS-CoV-2 infection (PASC, or long COVID) would allow precision clinical management strategies. However, COVID is incompletely understood and characterised by a wide range manifestations that are difficult to analyse computationally. Additionally, the generalisability machine learning classification COVID-19 outcomes has rarely been tested.
<h3>Importance</h3> Understanding of SARS-CoV-2 infection in US children has been limited by the lack large, multicenter studies with granular data. <h3>Objective</h3> To examine characteristics, changes over time, outcomes, and severity risk factors within National COVID Cohort Collaborative (N3C). <h3>Design, Setting, Participants</h3> A prospective cohort study encounters end dates before September 24, 2021, was conducted at 56 N3C facilities throughout US. Participants included younger...
Since late 2019, the novel coronavirus SARS-CoV-2 has introduced a wide array of health challenges globally. In addition to complex acute presentation that can affect multiple organ systems, increasing evidence points long-term sequelae being common and impactful. The worldwide scientific community is forging ahead characterize range outcomes associated with infection; however underlying assumptions in these studies have varied so widely resulting data are difficult compareFormal definitions...
Abstract Background Naming a newly discovered disease is difficult process; in the context of COVID-19 pandemic and existence post-acute sequelae SARS-CoV-2 infection (PASC), which includes long COVID, it has proven especially challenging. Disease definitions assignment diagnosis code are often asynchronous iterative. The clinical definition our understanding underlying mechanisms COVID still flux, deployment an ICD-10-CM for USA took nearly 2 years after patients had begun to describe their...
Abstract Long COVID, or complications arising from COVID-19 weeks after infection, has become a central concern for public health experts. The United States National Institutes of Health founded the RECOVER initiative to better understand long COVID. We used electronic records available through COVID Cohort Collaborative characterize association between SARS-CoV-2 vaccination and diagnosis. Among patients with infection August 1, 2021 January 31, 2022, we defined two cohorts using distinct...
Quantitative assessment of spatial relations between tumor and tumor-infiltrating lymphocytes (TIL) is increasingly important in both basic science clinical aspects breast cancer research. We have developed evaluated convolutional neural network analysis pipelines to generate combined maps regions TILs routine diagnostic whole slide tissue images. The provide insight about the structural patterns distribution lymphocytic infiltrates facilitate improved quantification TILs. Both TIL analyses...
Abstract Objective In response to COVID-19, the informatics community united aggregate as much clinical data possible characterize this new disease and reduce its impact through collaborative analytics. The National COVID Cohort Collaborative (N3C) is now largest publicly available HIPAA limited dataset in US history with over 6.4 million patients a testament partnership of 100 organizations. Materials Methods We developed pipeline for ingesting, harmonizing, centralizing from 56...
The majority of U.S. reports COVID-19 clinical characteristics, disease course, and treatments are from single health systems or focused on one domain. Here we report the creation National COVID Cohort Collaborative (N3C), a centralized, harmonized, high-granularity electronic record repository that is largest, most representative cohort cases controls to date. This multi-center dataset supports robust evidence-based development predictive diagnostic tools informs critical care policy.In...
Prior observational studies suggest that aspirin use may be associated with reduced mortality in high-risk hospitalized patients COVID-19, but aspirin's efficacy moderate COVID-19 is not well studied.To assess whether early lower odds of in-hospital COVID-19.Observational cohort study 112 269 enrolled from January 1, 2020, through September 10, 2021, at 64 health systems the United States participating National Institute Health's COVID Cohort Collaborative (N3C).Aspirin within first day...
This cohort study uses data from the US National COVID Cohort Collaborative to evaluate upper airway infections in children during surge of Omicron (B.1.1.529) variant SARS-CoV-2 US.
Abstract Bulk analyses of pancreatic ductal adenocarcinoma (PDAC) samples are complicated by the tumor microenvironment (TME), i.e. signals from fibroblasts, endocrine, exocrine, and immune cells. Despite this, we others have established stroma subtypes with prognostic significance. However, understanding underlying driving distinct stromal landscapes is still incomplete. Here integrate 92 single cell RNA-seq seven independent studies to build a reproducible PDAC atlas focus on tumor-TME...