# Northwestern University Lead Academic Participating Site, GY4 Supplemental Request

> **NIH NIH UG1** · NORTHWESTERN UNIVERSITY · 2023 · $299,998

## Abstract

Summary/Abstract:
The Robert H. Lurie Comprehensive Cancer Center of Northwestern University (LCC) has a long history of NCTN
participation with ECOG membership since 1973. Currently, the LCC infrastructure supports participation in
clinical trials and ancillary studies through the ECOG-ACRIN, SWOG, Alliance, NRG, and COG. LCC has an
established history of accruing to and participating in NCTN trials including selection as a high performing site in
2015, 2016 and 2017.
In 2019, Northwestern University was designated as a Lead Academic Performing site (LAPS) and in this new
role continues to significantly accrue patients to NCTN trials, exceeding planned accrual goals in both years as
a LAPS institution.
Through continued demonstration of significant scientific accomplishments and new initiatives, recruitment of
accomplished senior faculty and productive junior faculty, comprehensive and integrated infrastructure for
oversight of cancer-related clinical trials, LCC will continue to expand participation in NCTN trials, provide
scientific leadership of key network activities, and increase inter-institutional collaborations and access to unique
scientific resources, to advance cancer interventions.

## Key facts

- **NIH application ID:** 10736415
- **Project number:** 3UG1CA233320-04S1
- **Recipient organization:** NORTHWESTERN UNIVERSITY
- **Principal Investigator:** AL B BENSON
- **Activity code:** UG1 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $299,998
- **Award type:** 3
- **Project period:** 2022-11-11 → 2023-02-28

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10736415

## Citation

> US National Institutes of Health, RePORTER application 10736415, Northwestern University Lead Academic Participating Site, GY4 Supplemental Request (3UG1CA233320-04S1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10736415. Licensed CC0.

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