EXPIRED
May 24, 2024
National Cancer Institute (NCI)
The Division of Cancer Prevention (DCP) at the National Cancer Institute (NCI) announces this Notice of Special Interest (NOSI) to encourage current grant or cooperative agreement awardees to apply for administrative supplement funds to support research with an overall goal of characterizing the natural history and longitudinal dynamics of lung nodules through harnessing the power of cancer data reuse with the National Lung Screening Trial datasets.
The primary endpoint for lung cancer screening trials, cancer mortality, requires long and extensive follow-up to ensure trial completion. The inclusion of a surrogate endpoint, such as lung nodule development and progression, can improve the speed and efficiency of clinical trials without affecting the scientific rigor. Therefore, this NOSI supports the characterization of the lung nodules to be used as a surrogate endpoint for clinical trials and for physician support services. Radiologists and artificial intelligence algorithms can identify and track nodules over time. The combination of which may allow for distinguishing between the trajectories of benign and precancerous nodules, particularly when the changes in lung nodules are linked to pathologic diagnoses. The goal of the supplemental funding is to support research to define and improve the identification of benign, pre-cancerous and cancerous lung nodules through longitudinal analysis of nodule characteristics to improve physician support services and precision cancer screening and detection.
Radiologists utilize quantitative imaging biomarkers such as a nodules volume, surface area, density, shape, and margins to determine if a nodule should be biopsied or removed. Enhanced capabilities of CT-scanners have improved imaging data, such as decreased scanning thickness and enhanced image resolution. These technological advancements allow radiologists to identify nodules earlier in their development. The improved detection of these smaller nodules increases the difficulty for radiologists to recommend a course of action as knowing the trajectory of these nodules requires more information and a high percentage of the nodules will remain benign. Improved quantitative imaging biomarkers that account for the natural history of the nodule provides more context to the clinicians on a future course of action for biopsy or removal and overall prevention of lung cancer.
The National Lung Screening Trial (NLST; NCT00047385) was a randomized controlled trial conducted by the Lung Screening Study group and the American College of Radiology Imaging Network to determine whether screening for lung cancer with low-dose helical computed tomography (CT) reduces mortality from lung cancer in high-risk individuals relative to screening with chest radiography. Approximately 54,000 participants were enrolled between August 2002 and April 2004. Data collection has ended, and information is complete through December 31, 2009.
NLST datasets include longitudinal CT and pathology images. The datasets are comprehensive; they include data on participant characteristics, screening exam results, diagnostic procedures, lung cancer, histopathologic diagnosis, and mortality. Images from over 75,000 CT screening exams are available. Longitudinal CT scans include three annual screenings and one post-screening follow-up scan. Over 1,200 pathology images from a subset of NLST lung cancer patients (~500 of over 2,000 patients) may be made available. NLST data can be accessed through multiple NIH sources including the Imaging Data Commons, The Cancer Imaging Archive, and the Cancer Data Access System.
The research objective of this supplement notice is to examine the natural history of lung nodules using longitudinal analysis of CT scans and clinically relevant data.
Investigators should request supplemental support to:
Applications not responsive to this NOSI include those that:
Applications for this initiative must be submitted using the following opportunity or its subsequent reissued equivalent.
Eligibility
Budget and Period of Support
Application Due Date: Submission must be received by July 8, 2024, by 5:00 PM local time of applicant organization for FY 2024 funding. The NOSI will expire July 9, 2024.
For funding consideration, applicants must include NOT-CA-24-058" (without quotation marks) in the Agency Routing Identifier field (box 4B) of the SF424 R&R form. Applications without this information in box 4B will not be considered for this initiative.
Applicants should begin the supplement application abstract by stating This application is being submitted in response to the Notice of Special Interest (NOSI) identified as NOT-CA-24-058
To facilitate efficient processing of the request, applicants are strongly encouraged to notify the assigned NCI Program Official for the parent award that a request has been submitted in response to this NOSI.
Page Limits
The application must include the following sections and adhere to the following limits:
Review and Selection Process
NCI will conduct administrative reviews of applications and will support the most meritorious applications submitted for consideration, based upon availability of funds. Additionally, NCI program staff will evaluate applications using the following selection factors:
Applicants are encouraged to discuss their application with the scientific/research contacts listed in this NOSI prior to submission.
Applications nonresponsive to the terms of this NOSI will not be considered for funding.
Scientific/Research Contact(s)
Amanda Skarlupka, Ph.D.
National Cancer Institute (NCI)
Telephone: 240-276-7360
Email: Amanda.skarlukpa@nih.gov
Financial/Grants Management Contact(s)
Crystal Wolfrey
National Cancer Institute (NCI)
Telephone: 301- 496-8634
Email: wolfreyc@mail.nih.gov