Opportunity Information: Apply for RFA CA 11 005

  • The National Institutes of Health in the education health sector is offering a public funding opportunity titled "Advanced In Vivo Imaging to Understand Cancer Systems (R01)" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.393 Cancer Cause and Prevention Research 93.394 Cancer Detection and Diagnosis Research 93.395 Cancer Treatment Research 93.396 Cancer Biology Research.
  • This funding opportunity was created on Dec 8, 2010 and posted on Dec 8, 2010.
  • Applicants must submit their applications by Feb 23, 2011. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
  • The funding agency has allocated a total of $5,000,000.00 to eligible and selected applicants.
  • Eligible applicants include: Native American tribal governments (Federally recognized) Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Public housing authorities/Indian housing authorities County governments Special district governments Others (see text field entitled Additional Information on Eligibility for clarification) Private institutions of higher education City or township governments Native American tribal organizations (other than Federally recognized tribal governments) Public and State controlled institutions of higher education Independent school districts State governments Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education Small businesses For profit organizations other than small businesses.
  • Other Eligible Applicants include the following Alaska Native and Native Hawaiian Serving Institutions Eligible Agencies of the Federal Government Faith based or Community based Organizations Hispanic serving Institutions Historically Black Colleges and Universities (HBCUs) Indian/Native American Tribal Governments (Other than Federally Recognized) Non domestic (non U.S.) Entities (Foreign Organizations) Regional Organizations Tribally Controlled Colleges and Universities (TCCUs) U.S. Territory or Possession.
Apply for RFA CA 11 005

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Opportunity Summary:

The Advanced In Vivo Imaging to Understand Cancer Systems (R01) opportunity (Funding Opportunity Number RFA-CA-11-005) was a discretionary NIH grant program designed to push cancer research forward by tightly linking two areas that often develop in parallel: cutting-edge in vivo imaging and systems biology. The central idea was to fund new, genuinely collaborative research projects that use advanced imaging methods in living systems to observe, measure, and interpret complex cancer behaviors at the highest possible resolution. Rather than supporting imaging as a standalone technical effort or systems biology as a purely computational exercise, the FOA emphasized integrated projects where imaging data and systems-level modeling inform each other to explain how cancer operates as a dynamic, interacting system.

The scientific goal was to improve understanding of "complex cancer phenomena" by capturing what happens in real time inside living organisms, where tumors interact with blood vessels, immune cells, surrounding tissue, and treatment pressures. In vivo imaging can reveal spatial and temporal patterns that are difficult to infer from static biopsies or simplified lab models, while systems biology provides the framework to connect those measurements into mechanistic explanations and predictive models. Applications were expected to bring together teams with complementary expertise, typically including specialists in in vivo cancer imaging, researchers focused on cancer complexity (such as tumor heterogeneity, microenvironment interactions, invasion and metastasis, and therapy response dynamics), and additional relevant disciplines depending on the project. The emphasis on collaboration suggests NIH was looking for proposals where the partnership is essential to the approach, not incidental.

The mechanism was the NIH R01 research project grant, which generally supports hypothesis-driven or problem-driven biomedical research with enough flexibility to accommodate multi-investigator work and technology-enabled biology. The activity category was listed under Education and Health, and it mapped to multiple cancer-related CFDA program areas, including cancer cause and prevention research (93.393), detection and diagnosis (93.394), treatment research (93.395), and cancer biology (93.396). That spread reflects the FOA's broad applicability: advanced in vivo imaging and systems approaches can contribute to understanding disease initiation, progression, detection strategies, and therapeutic response, depending on the biological question.

In terms of funding, the FOA reported an estimated total funding level of $5,000,000 and explicitly stated there was no cost sharing or matching requirement, meaning applicants were not required to provide institutional matching funds as a condition of award. The opportunity was posted and created on December 8, 2010, with an original and final closing date of February 23, 2011, and it was archived on March 26, 2011. Those dates indicate it was a time-limited solicitation with a specific submission window rather than an open-ended program announcement.

Eligibility was broad and included many organizational types across public, private, nonprofit, and governmental sectors. Eligible applicants included federally recognized Native American tribal governments and other tribal organizations, state governments, county and local governments (including city or township governments and special district governments), independent school districts, public and state-controlled higher education institutions, and private institutions of higher education. Nonprofits were eligible both with and without 501(c)(3) status (with the latter category explicitly excluding institutions of higher education). The FOA also allowed small businesses and for-profit organizations other than small businesses, which is notable because it opens the door to industry participation where specialized imaging platforms or translational capabilities may be important. Additional eligible entities listed included Alaska Native and Native Hawaiian Serving Institutions, Hispanic-serving institutions, Historically Black Colleges and Universities (HBCUs), Tribally Controlled Colleges and Universities (TCCUs), faith-based and community-based organizations, regional organizations, eligible federal agencies, U.S. territories or possessions, and non-U.S. entities (foreign organizations). In practical terms, this eligibility language signaled an interest in reaching a wide range of capable research environments, including international partners and institutions serving underrepresented communities, as long as the proposed work aligned with NIH requirements and the FOA's collaborative, integrative intent.

The sponsoring agency was the National Institutes of Health. The full announcement was available through the NIH Grants Guide at the provided link (http://grants.nih.gov/grants/guide/rfa-files/RFA-CA-11-005.html). For access or technical issues, the contact point listed was the NIH Office of Extramural Research (OER) webmaster via FBOWebmaster@OD.NIH.GOV, which suggests that operational questions about locating the announcement or troubleshooting access were routed through NIH OER support.

Overall, this FOA can be read as a targeted investment in research that treats cancer as an evolving system and uses in vivo imaging to generate the kinds of high-resolution, context-rich data needed to build and test systems-level explanations. The strongest projects under this kind of announcement would typically be those that demonstrate true interdependence between imaging innovation and systems biology, with a clear plan for how the combined approach will reveal cancer behaviors that neither field could fully resolve on its own.

Frequently Asked Questions (FAQs)

What is the Advanced In Vivo Imaging to Understand Cancer Systems (R01) opportunity?

It is a discretionary NIH funding opportunity (Funding Opportunity Number RFA-CA-11-005) that was designed to advance cancer research by tightly integrating advanced in vivo imaging in living systems with systems biology approaches. The goal was to support collaborative projects where imaging measurements and systems-level modeling directly inform one another to explain cancer as a dynamic, interacting system.

What is the main scientific purpose of this FOA?

The FOA aimed to improve understanding of complex cancer phenomena by capturing and interpreting what happens in real time inside living organisms. It emphasized observing tumor interactions with blood vessels, immune cells, surrounding tissue, and treatment pressures, and connecting those observations to mechanistic and predictive systems biology models.

What does "advanced in vivo imaging" mean in the context of this opportunity?

Within this FOA, advanced in vivo imaging refers to cutting-edge imaging methods used in living systems to observe and measure cancer behaviors with very high spatial and temporal resolution, enabling the study of how tumors behave and interact within their native biological context.

What does "systems biology" mean in this FOA?

Systems biology, as described here, is the framework used to connect complex imaging measurements into mechanistic explanations and predictive models of cancer behavior. The FOA specifically emphasized that systems biology should not be purely computational in isolation from experimental measurements.

How is this FOA different from imaging-only or modeling-only research?

The FOA emphasized integrated projects rather than standalone imaging technology development or purely computational systems biology. The expectation was that imaging data would drive systems-level modeling, and systems-level modeling would in turn shape imaging strategies and interpretation, forming an interdependent approach.

What kinds of cancer questions or phenomena were this FOA trying to address?

The FOA focused on "complex cancer phenomena" such as tumor heterogeneity, interactions with the tumor microenvironment, invasion and metastasis, and the dynamics of therapy response. More broadly, it targeted research that treats cancer as an evolving system with interacting components.

What type of grant mechanism was used?

The funding mechanism was the NIH R01 Research Project Grant, which typically supports hypothesis-driven or problem-driven biomedical research and can accommodate multi-investigator, collaborative projects.

Which agency sponsored this funding opportunity?

The sponsoring agency was the National Institutes of Health (NIH).

What was the estimated total funding amount available under this FOA?

The FOA reported an estimated total funding level of $5,000,000.

Was cost sharing or matching required?

No. The FOA explicitly stated there was no cost sharing or matching requirement, meaning applicants were not required to provide institutional matching funds as a condition of award.

When was the opportunity posted and what were the closing dates?

The opportunity was posted and created on December 8, 2010. The original and final closing date was February 23, 2011. The opportunity was archived on March 26, 2011, indicating it was time-limited with a specific submission window.

Is this FOA still open?

No. Based on the listed final closing date (February 23, 2011) and the archive date (March 26, 2011), this was not an open-ended program announcement and is no longer open for applications.

What was the activity category for this opportunity?

The activity category was listed under Education and Health.

Which CFDA program areas did this FOA map to?

It mapped to multiple cancer-related CFDA program areas: cancer cause and prevention research (93.393), detection and diagnosis (93.394), treatment research (93.395), and cancer biology (93.396).

Why did this FOA map to multiple cancer CFDA areas?

The FOA had broad applicability because integrated in vivo imaging and systems biology approaches can be used to study cancer initiation, progression, detection strategies, and therapeutic response, depending on the biological question being addressed.

What kinds of teams or collaborations were expected?

Applications were expected to bring together complementary expertise, typically including specialists in in vivo cancer imaging and researchers focused on cancer complexity (for example, heterogeneity, microenvironment interactions, invasion/metastasis, and therapy response dynamics). The FOA emphasized collaborations where the partnership is essential to the scientific approach rather than incidental.

What does NIH mean here by "genuinely collaborative" projects?

Based on the FOA description, a genuinely collaborative project is one where imaging innovation and systems-level modeling are interdependent. The collaboration is expected to be central to the research plan, with imaging and modeling iteratively informing experimental design, data interpretation, and mechanistic understanding.

What types of organizations were eligible to apply?

Eligibility was broad and included public, private, nonprofit, and governmental organizations. Examples listed include tribal governments and tribal organizations; state, county, and local governments (including city/township and special district governments); independent school districts; public and state-controlled higher education institutions; private institutions of higher education; nonprofits with and without 501(c)(3) status (with the non-501(c)(3) category excluding institutions of higher education); small businesses; and for-profit organizations other than small businesses.

Were institutions serving specific communities explicitly included in eligibility?

Yes. The eligible entities listed included Alaska Native and Native Hawaiian Serving Institutions, Hispanic-serving institutions, Historically Black Colleges and Universities (HBCUs), and Tribally Controlled Colleges and Universities (TCCUs), as well as faith-based and community-based organizations.

Were federal agencies eligible to apply?

Yes. The eligibility list included eligible federal agencies.

Were U.S. territories or possessions eligible?

Yes. U.S. territories or possessions were included in the eligibility list.

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

Yes. The eligibility list explicitly included non-U.S. entities (foreign organizations).

Does the eligibility language suggest NIH wanted to include industry participation?

The FOA allowed both small businesses and for-profit organizations other than small businesses. This broad eligibility can enable participation by industry groups that may have specialized imaging platforms or translational capabilities relevant to the integrated imaging-and-systems approach described.

Where can the full announcement be found?

The full announcement was available through the NIH Grants Guide at: http://grants.nih.gov/grants/guide/rfa-files/RFA-CA-11-005.html

Who was listed as the contact for access or technical issues?

For access or technical issues, the listed contact was the NIH Office of Extramural Research (OER) webmaster at FBOWebmaster@OD.NIH.GOV.

What kinds of questions would this FOA be best suited for, based on its description?

It was best suited for research questions that require observing cancer behavior in living systems over time and interpreting those observations through systems-level frameworks. The FOA description suggests a strong fit for projects where high-resolution, context-rich imaging data are necessary to build and test mechanistic, predictive explanations of cancer dynamics.

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