# Clinical Studies NCORP Boot Camp Program for Early-Career Investigators

> **NIH NIH UG1** · WAKE FOREST UNIVERSITY HEALTH SCIENCES · 2022 · $387,500

## Abstract

Administrative Supplement to UG1 CA189824 in response to NOT‐OD‐22‐057
Project Summary Supplement: The Wake Forest NCI Community Oncology Research Program
Research Base (WF NCORP) is committed to training the next generation of Cancer Control and
Cancer Care Delivery Research (CCDR) investigators. WF NCORP MPIs (Lesser & Weaver) and
leaders supported by this supplement (Dressler, Klepin, & Strom) are experienced research
mentors, including mentoring experience with trainees traditionally under-represented in
biomedical research. Through this supplement, our team will build on current mentoring activities
in the parent award to expand mentoring opportunities for new NCORP investigators who are
members of groups underrepresented in the biomedical research enterprise by adapting a
successful Clinical Trials Boot Camp program developed by Dr. Dressler for the WF
Comprehensive Cancer Center (WF CCC). The new NCORP Boot Camp program will facilitate
the research success of participants by enhancing their access to mentoring, pilot grant funds,
and grant writing skills, with the ultimate goal of enhancing the diversity, equity, inclusion, and
accessibility (DEIA) of WF NCORP study PIs and the WF NCORP leadership pipeline.

## Key facts

- **NIH application ID:** 10605461
- **Project number:** 3UG1CA189824-09S2
- **Recipient organization:** WAKE FOREST UNIVERSITY HEALTH SCIENCES
- **Principal Investigator:** GLENN J LESSER
- **Activity code:** UG1 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $387,500
- **Award type:** 3
- **Project period:** 2014-08-01 → 2025-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10605461

## Citation

> US National Institutes of Health, RePORTER application 10605461, Clinical Studies NCORP Boot Camp Program for Early-Career Investigators (3UG1CA189824-09S2). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10605461. Licensed CC0.

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