# NIH grant: Novel and improved exposure assessment in childhood cancer (NICE) (1R16GM165989-01) — retained record

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source: [us-gov-api](https://highsignal.app/data/us-gov-api) (us-gov-api:nih-reporter)  published 2026-08-01 00:00 ingested 2026-08-04 08:36

[original source ↗](https://reporter.nih.gov/project-details/1R16GM165989-01)

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NIH grant 1R16GM165989-01: Novel and improved exposure assessment in childhood cancer (NICE)
Institute: {'code': 'GM', 'abbreviation': 'NIGMS', 'name': 'National Institute of General Medical Sciences', 'admin_org_id': '12500024', 'admin_funding_url': ''}. PI: Julia  Heck. Award: $149460.
Start: 2026-08-01T00:00:00.
PROJECT SUMMARY
Cancer is the second leading cause of death in children. Traffic-related exposures are ubiquitous and diesel is
an established carcinogen in humans and animals, while green space around the residence may mitigate
these health impacts as well increase physical activity. Valid exposure assessment methods in population-
based epidemiologic studies are a key factor for identifying and acting on risks that are preventable. Here, this
project will assess the roles of traffic-related and other air exposures and green space on childhood cancer risk
in a large population-based study. The study team has over a decade of experience building exposure models
for air exposures in California and studying fetal development and childhood cancer. The study team has built
and validated statewide land use regression models in California for nitrogen dioxide (NO2) and particulate
matter <2.5 micrometers in diameter (PM2.5), both with a 30 m x 30 m resolution, a land use regression model
of ultrafine PM for the South Coast Air Basin (which encompasses Los Angeles County and parts of Orange
and Riverside Counties), and a model of oil and gas development in California. The project will leverage these
resources and apply models to an existing study of childhood cancers in California, for which there is already
extensive characterization of other environmental exposures (pesticides, ambient industrial agents), and in
addition there has been well-described confounding information including perinatal and gestational risk factors.
This project will characterize risk in both more common and rarer, understudied cancers. Graduate and
undergraduate student research assistants will be involved on all parts of this project including but not limited
to using ArcGIS, data cleaning and management, statistical programming, presentation of findings, manuscript
preparation, human subjects protection, data security, and project management. Results will provide necessary
evidence for larger scale studies of exposure biomarkers, encourage policies to protect pregnant women and
children, and provide opportunities for population-based prevention of pediatric cancers.
```



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