# Cellular, molecular and quantitative imaging analysis of screening-detected lung adenocarcinoma

> **NIH NIH U01** · VANDERBILT UNIVERSITY MEDICAL CENTER · 2020 · $681,562

## Abstract

   
DESCRIPTION (provided by applicant): Suspicious screening-detected lung nodules present a formidable challenge to patients and their providers. The standard of care lacks accuracy in predicting a) malignancy from benign disease and b) indolent vs aggressive behavior. The answer to these questions justifies diametrically opposed strategies (biopsy vs follow up) each of which carries huge consequences including cure of the cancer, risk of death during a procedure or risk of dying from not intervening early in the disease. This application will focus o the behavior of early stage adenocarcinoma of the lung and not on the distinction between benign from malignant nodules. We assembled a unique multidisciplinary group of experts to tackle this problem in an original way. We will develop a retrospective and a prospective repository for both tissue (ADC fresh frozen tissues, blood) and images from which we will derive detailed quantitative structural imaging analysis, targeted genomic analysis and single cell analysis to interrogate the functional genomics of these tumors. The integration of this multidimensional data imaging/molecular/cellular/epidemiology will allow us to identify and validate cellular and molecular determinants of tumor behavior in the context of their inter- and intra-tumor heterogeneity. With these results, we will be able to build integrated models of ADC behavior, validate a new genomic molecular test on circulating DNA and propose prospective studies that would eventually offer a different intervention based on these predictions i.e. surgery, vs no surgery, adjuvant immuno- or chemotherapy vs no adjuvant therapy and therefore reduce overtreatment and ultimately increase the rate of cure and reduce healthcare cost.

## Key facts

- **NIH application ID:** 10253260
- **Project number:** 3U01CA196405-06S1
- **Recipient organization:** VANDERBILT UNIVERSITY MEDICAL CENTER
- **Principal Investigator:** Fabien Maldonado
- **Activity code:** U01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $681,562
- **Award type:** 3
- **Project period:** 2015-09-24 → 2022-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10253260

## Citation

> US National Institutes of Health, RePORTER application 10253260, Cellular, molecular and quantitative imaging analysis of screening-detected lung adenocarcinoma (3U01CA196405-06S1). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10253260. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*