# Neurologic Oncology Program

> **NIH NIH P30** · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2021 · $122,428

## Abstract

Neurologic Oncology Program: Summary 
The overarching scientific goal of the Neurologic Oncology (NE) Program is to use a team approach to 
advance the understanding of brain tumor biology and drive translation into more effective treatments. This 
goal is accomplished by innovative basic science, accompanied by a classic bench-to-bedside approach, 
which allows basic science discoveries to be developed into therapies and clinical trials. Further basic science 
exploration is also informed by insights that come from clinical care of the patient, previous clinical trial results, 
exceptional drug responders, and patients who develop resistance to treatment. 
Theme 1: Improved Understanding of the Underlying Biology of Brain Tumors 
Theme 2: Predicting Patient Disease, Response, and Survival 
Theme 3: Improving the Therapy of Brain Tumors 
NE Program: Key Metrics 
Membership (7 departments, 1 school) 31 
Full 19 
Associate 12 
Cancer-relevant Funding (direct costs as of 
$8,749,672 
05/31/2017) 
NCI $4,023,515 46% 
Peer-reviewed $1,511,567 17% 
Non-peer-reviewed $3,214,590 37% 
Cancer-relevant Publications (1/2012-7/2017) 553 
Inter-programmatic 263 48% 
Intra-Programmatic 260 47% 
High-Impact 109 20% 
Accruals to Clinical Trials (2016) 254 40 
Therapeutic 56 25 
Other Interventional 54 5 
Non-interventional 144 10

## Key facts

- **NIH application ID:** 10169277
- **Project number:** 5P30CA082103-22
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
- **Principal Investigator:** Susan M Chang
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $122,428
- **Award type:** 5
- **Project period:** 1999-08-05 → 2023-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10169277

## Citation

> US National Institutes of Health, RePORTER application 10169277, Neurologic Oncology Program (5P30CA082103-22). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10169277. Licensed CC0.

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