A Solicitation of the National Institutes of Health (NIH) and The Centers for Disease Control and Prevention (CDC) for Small Business Innovation Research (SBIR) Contract Proposals

Active
No
Status
Closed
Release Date
August 25th, 2023
Open Date
August 25th, 2023
Due Date(s)
November 14th, 2023
Close Date
November 14th, 2023
Topic No.
NIH/NCI 457

Topic

Technologies for Detecting Tumor-Derived Cell Clusters

Agency

Department of Health and Human ServicesNational Institutes of Health

Program

Type: SBIRPhase: BOTHYear: 2023

Summary

The National Institutes of Health (NIH) and The Centers for Disease Control and Prevention (CDC) are seeking proposals for technologies that can detect tumor-derived cell clusters. These clusters play a crucial role in metastasis and have been shown to have a higher metastatic potential than individual circulating tumor cells (CTCs). The goal is to develop technologies that can assess metastatic risk early and facilitate prompt interventions, ultimately improving cancer outcomes. The solicitation is open to Fast-Track proposals, with a total of 3-5 anticipated awards. The budget for Phase I is up to $400,000 for up to 12 months, and for Phase II, it is up to $2,000,000 for up to 2 years. Proposals exceeding the budget or project duration may not be funded. The current status of the solicitation is closed. The biology of tumor-derived cell clusters is poorly understood, and there is a need for technologies that can enrich, enumerate, and analyze these clusters to better understand their role in metastasis.

Description

Fast-Track proposals will be accepted. Direct-to-Phase II proposals will NOT be accepted. Number of anticipated awards: 3-5 Budget (total costs, per award): Phase I: up to $400,000 for up to 12 months Phase II: up to $2,000,000 for up to 2 years PROPOSALS THAT EXCEED THE BUDGET OR PROJECT DURATION LISTED ABOVE MAY NOT BE FUNDED. Summary Technologies that can assess metastatic risk early and facilitate prompt interventions can significantly improve cancer outcomes because most cancer deaths are due to metastasis. Currently, very few markers are available for predicting metastatic risk. Disseminated tumor cells that enter circulation are pivotal in the metastatic cascade, and circulating tumor cells (CTCs) are being used as putative markers for monitoring tumor dynamics and treatment response. However, accumulating evidence suggests that tumor-derived cell clusters (TDCCs) may be a more important factor in metastasis and associated poor progression-free survival and overall survival. Clustering is an adaptive mechanism that enhances CTC survival and migration in the harsh conditions of the bloodstream, confers stemness, immune evasiveness, and increases their metastatic potential. TDCCs are reported to consist of either homotypic clusters composed of only cancer cells; or heterotypic clusters made of stromal cells or immune cells including fibroblasts (CAFs), macrophage-like cells (CAMLs), endothelial cells (TECs), tumor-macrophage hybrid cells (TMHCs), and neutrophils, along with tumor cells. Compared to single CTCs, TDCCs have been shown to have distinct molecular features, exhibit a higher proliferation rate, and 20 to 230-fold more metastatic potential than individual CTCs. Overall, these data suggest that composition and heterogeneity of TDCCs may be more informative for assessing metastatic risk or for predicting and following treatment response than assays based on single CTCs. The biology of formation, dissemination, and metastatic mechanisms associated with TDCCs are poorly understood because currently, very few technologies exist to study TDCCs. Studies that detect TDCCs or elucidate their biology merely adapt existing CTC-based technologies that are grossly inadequate for heterotypic clusters. There is an unmet need for technologies that combine cluster enrichment, enumeration, and downstream molecular analysis to better understand biology and the role of different cells in metastasis