# Consortium on Translational Research in Early Detection of Liver Cancer:Data Management and Coordinating Center (DMCC)

> **NIH NIH U24** · FRED HUTCHINSON CANCER CENTER · 2024 · $620,425

## Abstract

PROJECT SUMMARY ABSTRACT
The key to success of the Consortium on Translational Research in Early Detection of Liver Cancer (Consortium)
lies in good communication among scientists in multiple disciplines, efficient evaluation and prioritization of
promising biomarkers, and rigorous validation studies to demonstrate their potential clinical utilities in improving
the surveillance and early detection of liver cancer and stratifying the risk of liver cancer in patients with cirrhosis.
The overall aims of the proposed Data Management and Coordinating Center (DMCC) are to (i) enhance
communication and collaboration among Consortium investigators; (ii) coordinate Consortium collaborative
research and provide statistical support; (iii) develop and maintain integrated research and biorepository
databases for Consortium studies; and (iv) support and facilitate trans-Consortium collaborative research.
Under the direction of the Consortium Steering Committee, the DMCC will 1) perform network coordination and
promote collaborations among scientific investigators by providing support for Consortium meetings and
conference calls, developing and maintaining all Consortium documents, including the Manual of Operations and
Procedures (MOP), and by maintaining and enhancing the Consortium’s secure website; 2) support Consortium
collaborative studies by working with Consortium investigators on study design, protocol development, data
forms, and study manuals; coordinating and monitoring studies; tracking specimen sharing, blinding, and
randomization; and performing QA/QC and study evaluation; 3) maintain and enhance the COMPASS Data
Management System (CDMS) used to facilitate Consortium collaborative activities. CDMS provides online, end-
to-end data management solutions, including investigator and study coordinator communications, regulatory
compliance, remote subject registration, clinical data capture, biospecimen sample management, imaging data
repository, and document management. CDMS can provide online visibility of analytical datasets for all
participating researchers, and statistical and informatic tools relevant to Consortium research; 4) support and
facilitate trans-Consortium collaborative studies by promoting team science, monitoring study procedures, and
using cutting edge statistical, computational, and Artificial Intelligence methods to ensure efficient yet rigorous
study design and maximize research outputs.
Our research strategy is built from this guiding principle: provide the highest quality service to the Consortium
while remaining innovative and providing scientific leadership to help the Consortium achieve its mission. Our
qualifications include being the DMCC for the Early Detection Research Network since its inception, serving as
lead statisticians for the two largest ongoing cirrhosis cohort studies in this country, and being responsible for
two FDA-cleared Imaging AI products and many statistical innovations in early detection research.

## Key facts

- **NIH application ID:** 10927360
- **Project number:** 5U24CA230144-08
- **Recipient organization:** FRED HUTCHINSON CANCER CENTER
- **Principal Investigator:** Ziding Feng
- **Activity code:** U24 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $620,425
- **Award type:** 5
- **Project period:** 2018-09-17 → 2028-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10927360

## Citation

> US National Institutes of Health, RePORTER application 10927360, Consortium on Translational Research in Early Detection of Liver Cancer:Data Management and Coordinating Center (DMCC) (5U24CA230144-08). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10927360. Licensed CC0.

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