# Clinical Trials, Translational Pathology, Biostatistics and Bioinformatics Cores

> **NIH NIH U54** · MEHARRY MEDICAL COLLEGE · 2020 · $503,174

## Abstract

Summary 
In this application, we propose to intensify the role of our existing MVTCP shared resource cores: Clinical Trials Core 
(CTC), Bioinfomatics and Biostatistics Core (BBC), and Translational Pathology Core (TPC). These cores have been 
instrumental in the success of our Cancer Partnership in the previous funding cycles and will continue to facilitate and 
accelerate the success of full research projects (3), pilot project (1), as well as the Education and Cancer Outreach 
cores. In this renewal application, specific aims for the Cores are to: 
1. Promote and support access of minority and underserved patients onto clinical trials that are usually not available 
 at community public hospitals (Clinical Trials Core); 
2. Provide professional expertise in biostatistics and bioinformatics for all cancer-related research in the MVTCP 
 (Bioinfomatics and Biostatistics Core); and 
3. Facilitate studies of MVTCP investigators that involve tissue analysis by collecting and banking human tissues 
 from majority and minority populations and providing state of the art technology for analysis of these tissues along 
 with instruction to students and faculty on the latest technologies available (Translational Pathology Core).

## Key facts

- **NIH application ID:** 10012765
- **Project number:** 5U54CA163069-10
- **Recipient organization:** MEHARRY MEDICAL COLLEGE
- **Principal Investigator:** Maureen Sanderson
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $503,174
- **Award type:** 5
- **Project period:** 2011-09-26 → 2021-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10012765

## Citation

> US National Institutes of Health, RePORTER application 10012765, Clinical Trials, Translational Pathology, Biostatistics and Bioinformatics Cores (5U54CA163069-10). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10012765. Licensed CC0.

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