# NEXT GENERATION CANCER MODELS (NON CMDC) MOLECULAR CHARACTERIZATION AND CLINICAL DATA COLLECTION

> **NIH NIH N01** · LEIDOS BIOMEDICAL RESEARCH, INC. · 2020 · $992,988

## Abstract

The purpose of the project is to fund the molecular characterization of models for distribution that probably would not have as complete annotation (e.g. the parent tumor and sometime normal could be missing), would increase the number of models that would have whole genome sequencing at 15X, whole exome sequencing at 150X, transcriptome sequencing and epigenetic characterization, i.e. the models would have the same data as are available for CMDC generated models.  For the models for which clinical data is available, it would be collected as well (collected under a different mechanism).  This would increase the number of models available for large scale screening studies, increase the number of tumor subtypes available through the developed distribution pipeline and for a modest investment enlarge the number of models that NCI provides to the community.  It is estimated that up to 200 NGCMs would be added through this pipeline.

## Key facts

- **NIH application ID:** 10282474
- **Project number:** 75N91019D00024-0-759102000037-1
- **Recipient organization:** LEIDOS BIOMEDICAL RESEARCH, INC.
- **Principal Investigator:** ETHAN DMITROVSKY
- **Activity code:** N01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $992,988
- **Award type:** —
- **Project period:** 2020-09-25 → 2023-09-24

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10282474

## Citation

> US National Institutes of Health, RePORTER application 10282474, NEXT GENERATION CANCER MODELS (NON CMDC) MOLECULAR CHARACTERIZATION AND CLINICAL DATA COLLECTION (75N91019D00024-0-759102000037-1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10282474. Licensed CC0.

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