Summary
Through this Notice of Funding Opportunity (NOFO), the National Cancer Institute (NCI) intends to support extramural research to investigate and mitigate challenges facing clinical assay development and subsequent analytical validation due to preanalytical variability in tumor tissue biopsies, blood biospecimens utilized as liquid biopsies", or other biospecimens as described in this NOFO. Extramural research funded under this NOFO may include investigations of preanalytical variability associated with the procurement and study of small biopsies (core biopsies, small excision samples), blood utilized for "liquid biopsies", tissue swabs, tissue secretions, pleural and esophageal aspirates, feces, or bodily fluids like sweat, urine, CSF, breast milk and saliva. Investigator-designed experiments will explore how different biospecimen preanalytical conditions affect emerging and clinically relevant biomarkers quantified by a variety of testing platforms. The results from this research program will improve the understanding of how analytical quantification of clinically relevant biomarkers is affected by variation in biospecimen collection, processing, and storage procedures. The overall goal is to expedite biomarker clinical assay development through evidence-based standardization of biopsy handling practices.
Eligibility
- Small Businesses
- Private Institutions of Higher Education
- State Governments
- Other
- Native American Tribal Organizations Other Than Federally Recognized Tribal Governments
- Nonprofits Non Higher Education Without 501c3
- Special District Governments
- For Profit Organizations Other Than Small Businesses
- Public and Indian Housing Authorities
- Public and State Institutions of Higher Education
- Nonprofits Having A 501(c)(3) Status With the Irs Other Than Institutions of Higher Education
- City Or Township Governments
- Independent School Districts
- County Governments
- Native American Tribal Governments Federally Recognized
Funding categories
- Education
- Health
Official source and attribution
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