# Data Coordination Center for PDX Net

> **NIH NIH U24** · JACKSON LABORATORY · 2020 · $900,000

## Abstract

PROJECT SUMMARY
Patient-derived xenografts (PDXs) are a powerful model system for assessing drug efficacy of anti-cancer
agents and understanding molecular mechanisms of drug resistance. However, results from individual
research groups have been difficult to validate due to the lack of standardized PDX procedures, lack of scale
for adequately powered PDX studies and the inability to efficiently share PDX specimens. A key contributor to
this challenge is the lack of well-managed resources for community sharing and large-scale analysis of
integrated, standardized datasets from PDX models. The JAX-Seven Bridges PDX Data Commons and
Coordination Center (PDCCC) seeks to address this challenge and unite the efforts of the component data-
generating (PDX Development and Trial Centers/PDTCs) and PDX model sharing (NCI’s Patient-Derived
Model Repository/PDMR) parts of the PDX Development and Trials Centers Research Network (PDXNet) into
a cohesive, trans-Network whole. Using innovative cloud computing and bioinformatic approaches, our
PDCCC will provide administrative and computational infrastructure for PDXNet to enable PDX method
standardization, model sharing, data sharing, and massive-scale data analysis. We will build a data storage,
sharing, and analysis platform that harmonizes PDXNet data with other large datasets and analysis workflows
available in the NCI Cancer Genomics Cloud. Simultaneously, we will administer planning meetings, training
activities, and research pilots to build synergies within the PDXNet, enhancing the ability of the PDXNet to
develop clinical trials from PDX studies. Our Specific Aims are to 1) establish a leadership and
administration unit to manage and coordinate activities within PDXNet, including annual meetings,
regular conference calls, training activities, trans-Network pilot projects, and outreach; 2) develop a cloud-
integrated PDXnet Data Commons that integrates PDXNet data with the existing cloud-based data analysis
platform - the Seven Bridges Cancer Genomics Cloud (SB-CGC); and 3) build analysis workflows and data
sharing practices to optimize PDXNet research and enable PDXNet data to facilitate clinical trial design. To
accomplish these Aims we have assembled a team with unique expertise in PDXs, cancer treatment, genomic
analysis, data coordination, and project management from The Jackson Laboratory and Seven Bridges. Our
combined institutional strengths include a history of leadership in (and commitment) to PDX, data resource,
analytic and consensus standards development and application; practical expertise in PDX model sharing and
collaborative community efforts; a broad array of statistical, bioinformatic, and software-related PDX resources;
leadership expertise in large-scale, cloud-based biomedical data projects, notably the SB-CGC; and deep
experience in high-performance database engineering and development. Our goal is to build an innovative,
systematically organized PDCCC that will advance the efforts ...

## Key facts

- **NIH application ID:** 10143552
- **Project number:** 3U24CA224067-02S1
- **Recipient organization:** JACKSON LABORATORY
- **Principal Investigator:** Jeffrey Hsu-Min Chuang
- **Activity code:** U24 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $900,000
- **Award type:** 3
- **Project period:** 2017-09-25 → 2022-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10143552

## Citation

> US National Institutes of Health, RePORTER application 10143552, Data Coordination Center for PDX Net (3U24CA224067-02S1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10143552. Licensed CC0.

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