# Patients Registry -Virtual Biorepository Core

> **NIH NIH U54** · CASE WESTERN RESERVE UNIVERSITY · 2021 · $290,457

## Abstract

SUMMARY 
The theme of our BETRNet Research Center (RC) is to identify genetic determinants of Barrett's esophagus 
(BE) and esophageal adenocarcinoma (EAC) to enable genetic marker guided early detection, risk stratification, 
prevention and therapy. The BETRNet Patients Registry-Virtual Biorepository (PRVB) Core will interact with all 
RC investigators at our participating institutions to continue and improve the effective methods and designs that 
successfully enabled us to share human biospecimens and clinical data across institutions to efficiently achieve 
our project goals in our existing BETRNet and will enable success in our new projects. We communicate 
regularly with our RC investigators to make sure they have access to high quality, clinically annotated 
biospecimens for their research questions. In addition, the Core provides infrastructure and oversight for secure 
management of all biospecimen, clinical, demographic and molecular data from the BETRNet RC, working 
closely with our investigators and the BETRNet Administrative Core. The Core will ensure adherence to data 
sharing in adherence with the guidelines as outlined from the BETRNet Coordinating Center and the NCI 
BETRNet Program Office in order to provide biospecimens and data to other BETRNet RCs for research.

## Key facts

- **NIH application ID:** 10153705
- **Project number:** 5U54CA163060-10
- **Recipient organization:** CASE WESTERN RESERVE UNIVERSITY
- **Principal Investigator:** JOSEPH EDWARD WILLIS
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $290,457
- **Award type:** 5
- **Project period:** 2011-09-26 → 2023-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10153705

## Citation

> US National Institutes of Health, RePORTER application 10153705, Patients Registry -Virtual Biorepository Core (5U54CA163060-10). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10153705. Licensed CC0.

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