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FAQs: Physical Science Oncology Centers (U54) - RFA-CA-09-009

What is the Physical Science Oncology Centers (U54) opportunity?

The Physical Science Oncology Centers (U54) opportunity (Funding Opportunity Number RFA-CA-09-009) is a National Cancer Institute (NCI), NIH cooperative agreement intended to create a coordinated network of research centers that merge physical sciences with cancer biology. The program is built around the idea that cancer is shaped not only by genetics and biochemistry, but also by physical laws operating across scales, from molecules and cells to tissues and whole tumors.

What was NCI trying to accomplish with this program?

NCI aimed to build a collaborative “Network of Physical Science Oncology Centers (PS-OCs)” to advance a more complete, physics-informed understanding of how cancer emerges, evolves, and behaves. The intent was to accelerate cancer research by embedding physical science thinking, measurement, and theory into cancer studies, and to encourage new quantitative and conceptual frameworks that conventional approaches might miss.

What does PS-OC stand for?

PS-OC refers to the “Physical Science Oncology Center,” and the broader program intended to create a “Network of Physical Science Oncology Centers (PS-OCs)” operating as a coordinated set of centers rather than isolated projects.

Is this a single-project grant or a center-based program?

This was a center-based program. The FOA emphasized building research centers that can support coordinated research programs, shared capabilities, and network-wide collaboration, rather than funding standalone, disconnected projects.

What is the U54 mechanism, and what does “cooperative agreement” imply?

The opportunity used the U54 cooperative agreement mechanism. As described in the provided information, this typically involves substantial programmatic involvement by NIH staff compared with a standard research project grant, reflecting the networked and coordinated nature of the initiative.

What types of disciplines were expected to be involved?

The PS-OCs were expected to intentionally cross traditional discipline boundaries by bringing together experts in physics, cancer biology, physical chemistry, mathematics, and engineering, along with the infrastructure needed for truly integrated work across these areas.

What is meant by “team science” in this FOA?

In this context, “team science” refers to intentionally integrated, multidisciplinary work where physical scientists and cancer researchers collaborate closely. The goal is to merge methods, measurements, modeling, and theory so the resulting work is genuinely integrated rather than parallel efforts housed under one umbrella.

Why does the FOA emphasize a “network” of centers?

The network emphasis was meant to ensure that insights and tools developed in one center could be tested, refined, and extended through iterative interactions with other centers. The FOA envisioned coordinated research across centers, with shared learning and collaboration at the network level.

What were the major research thrusts highlighted in the FOA?

The FOA described three major research thrusts for PS-OCs: (1) originating and testing novel, non-traditional physical science-based approaches to understanding and controlling cancer; (2) generating “orthogonal” physical measurements and integrating them with existing cancer knowledge; and (3) developing and evaluating theory-driven approaches rooted in physics to build comprehensive, dynamic pictures of cancer processes.

What does “non-traditional physical science-based approaches” mean here?

Based on the FOA description, this refers to ideas and methods grounded in the physical sciences that would not typically be considered part of mainstream cancer research, with an emphasis on originating and testing new approaches for understanding and potentially controlling cancer.

What are “orthogonal” physical measurements in the context of this program?

“Orthogonal” measurements are fundamentally different kinds of quantitative physical data that complement traditional biological and clinical information. The FOA examples include measures such as force, stiffness, transport, spatial organization, and dynamics, as well as other measurable physical properties, integrated with cancer knowledge.

What does the FOA mean by “theory-driven approaches rooted in physics”?

The FOA called for developing and evaluating approaches that use physics-based theory and modeling to explain cancer processes. The goal was to move toward a comprehensive and dynamic understanding (how cancer changes and behaves over time and across scales) rather than relying on static snapshots.

What kinds of outcomes was NCI aiming for long-term?

The intended long-term outcome went beyond incremental advances on existing questions. The initiative was framed as a catalyst for new bodies of knowledge and potentially new fields of cancer study, specifically identifying which aspects of physics, chemistry, and engineering are critical at different levels of cancer biology.

How does the FOA conceptualize cancer?

The FOA treats cancer as more than a genetic or biochemical disease. It describes cancer as a process shaped by physical laws across many scales, from molecules and cells to tissues and whole tumors, and seeks approaches that reflect cancer as a complex, multiscale physical-biological system.

What activity categories were associated with this opportunity?

The opportunity was categorized as discretionary funding, with activity categories listed under education and health.

What CFDA numbers were associated with this opportunity?

The provided information lists two associated CFDA numbers: 93.393 (Cancer Cause and Prevention Research) and 93.399 (Cancer Control).

What was the award ceiling?

The listed award ceiling was $2,250,000.

Was cost sharing or matching required?

No cost sharing or matching requirement was stated in the provided information.

Who was the sponsoring agency?

The sponsoring organization was the National Cancer Institute (NCI) within the National Institutes of Health (NIH).

What organizations were eligible to apply?

Eligibility was broad and included: public and private institutions of higher education; nonprofits (including both 501(c)(3) and certain non-501(c)(3) nonprofits); small businesses; for-profit organizations (including those other than small businesses); and government entities at the state, county, and city/township levels.

Were non-U.S. (foreign) organizations eligible?

Yes. The FOA allowed non-U.S. entities (foreign organizations) among other eligible applicants, consistent with the network-building intent and the desire to recruit strong teams and capabilities, as permitted by NIH policy and the FOA specifics.

Were U.S. territories or possessions mentioned as eligible?

Yes. The FOA listed U.S. territories or possessions as among the other eligible applicants.

Were eligible federal agencies included?

Yes. The FOA allowed other eligible applicants such as eligible federal agencies.

Were regional organizations included as eligible applicants?

Yes. Regional organizations were included among other eligible applicants.

What were the key dates for this funding opportunity?

The posted and creation date was December 9, 2008. The original and current closing date was March 13, 2009. The archive date was April 13, 2009.

Is this funding opportunity still open?

No. The provided information indicates the closing date was March 13, 2009, and the opportunity was archived on April 13, 2009.

What was the overarching approach to research encouraged by the FOA?

The FOA encouraged an approach that combines experimentation, quantitative measurement of physical properties, modeling, and theory to build predictive, mechanistic understanding of cancer across scales, supported by shared center infrastructure and network collaboration.

Why did the FOA prioritize shared infrastructure and capabilities?

The program expected centers to assemble infrastructure and shared capabilities needed for integrated work across disciplines. This structure supports coordinated research programs within each center and helps the broader network share, test, and extend tools and insights across sites.

What does “predictive, mechanistic understanding” imply in the FOA framing?

In the FOA framing, it implies moving toward explanations and models that can account for how cancer processes work and change over time (mechanistic), and that can help anticipate behaviors or outcomes based on physical and biological principles (predictive), rather than simply describing observations.

How was the PS-OC network expected to influence the broader cancer research field?

The network was intended to reshape how certain cancer problems are conceptualized, measured, and modeled by encouraging frameworks that reflect tumor behavior as a complex, multiscale physical-biological system and by helping establish which physical science concepts matter at different levels of cancer biology.