Opportunity Information: Apply for PAR 16 089

  • The HHS-NIH11 in the education, health sector is offering a public funding opportunity titled "Imaging and Biomarkers for Early Cancer Detection (U01)" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.393, 93.394,.
  • This funding opportunity was created on Jan 25, 2016 and posted on Jan 25, 2016.
  • Applicants must submit their applications by Dec 11, 2018. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
  • Eligible applicants include: State governments, County governments, City or township governments, Special district governments, Independent school districts, Public and State controlled institutions of higher education, Native American tribal governments (Federally recognized), Public housing authorities/Indian housing authorities, Native American tribal organizations (other than Federally recognized tribal governments), Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education, Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education, Private institutions of higher education, For profit organizations other than small businesses, Small businesses, Others (see text field entitled Additional Information on Eligibility for clarification).
Apply for PAR 16 089

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Opportunity Summary:

The Imaging and Biomarkers for Early Cancer Detection (U01) opportunity (PAR 16-089) is a National Institutes of Health cooperative agreement run under HHS/NIH (listed as HHS-NIH11). It supports collaborative research projects focused on making cancer screening and early detection more accurate and clinically useful, with a particular emphasis on finding aggressive cancers earlier, improving assessment of cancer risk, and strengthening diagnostic approaches. A central theme of the announcement is integration: applicants are expected to combine multi-modality imaging strategies (for example, using more than one type of imaging approach in a coordinated way) with multiplexed biomarker methodologies (approaches that measure multiple biomarkers together) so that these tools work as a single, complementary system rather than as separate, disconnected tests.

A defining feature of the program is that it is structured to create and operate a Consortium for Imaging and Biomarkers (CIB). Instead of funding isolated projects that operate independently, the FOA is designed to fund multiple multi-disciplinary research teams, referred to as Units, that will not only carry out their own proposed research but also actively participate in consortium-wide collaboration. That collaborative expectation includes conducting joint or aligned studies where appropriate, routinely exchanging information and data, sharing expertise and know-how, and leveraging common resources developed across the consortium. In practical terms, the government is signaling that the scientific value they want is not just in any single team s discoveries, but in the added benefit that comes from standardization, cross-validation, shared tools, and coordinated problem-solving across several teams working toward similar early detection goals.

The funding mechanism is a U01 cooperative agreement, which generally indicates a closer working relationship with the funding agency than a standard research grant. While the announcement summary does not spell out specific oversight details, the cooperative agreement format typically implies that NIH program staff may have substantial involvement in coordinating consortium activities, encouraging data and resource sharing, and helping align individual projects with broader consortium objectives. The activity area is categorized under Education and Health, and the program is associated with CFDA numbers 93.393 and 93.394, which correspond to NIH cancer-related assistance programs.

Eligibility is broad and includes many types of organizations that can contribute to early cancer detection research. Eligible applicants include state, county, city, township, and special district governments; independent school districts; public and state-controlled institutions of higher education; private institutions of higher education; federally recognized Native American tribal governments as well as other tribal organizations; public housing authorities and Indian housing authorities; nonprofit organizations with or without 501(c)(3) status; for-profit organizations other than small businesses; and small businesses. The listing also includes an Others category, with additional clarification referenced in the full eligibility text, suggesting that NIH intended to keep the applicant pool wide to attract the best multidisciplinary teams and capabilities.

Key dates show the FOA was created and posted on January 25, 2016, with an application closing date of December 11, 2018 (both original and current closing dates are the same in the provided record). The source record does not provide an award ceiling or the expected number of awards, which means those details would typically need to be confirmed in the full FOA text or related NIH notices. Overall, the opportunity is best understood as a coordinated, team-science program aimed at accelerating clinically meaningful early cancer detection by deliberately pairing imaging and biomarker technologies and requiring funded teams to function as an active, resource-sharing consortium rather than as standalone projects.

Frequently Asked Questions (FAQs)

What is the name of this funding opportunity?

The opportunity is called Imaging and Biomarkers for Early Cancer Detection (U01), referenced as PAR 16-089.

Which agency is offering this opportunity?

This is a National Institutes of Health (NIH) opportunity under HHS/NIH (listed as HHS-NIH11).

What type of funding mechanism is this?

The mechanism is a U01 cooperative agreement, which generally indicates a closer working relationship with the funding agency than a standard research grant.

What is the main purpose of the program?

The program supports collaborative research intended to make cancer screening and early detection more accurate and clinically useful, with emphasis on:

  • Detecting aggressive cancers earlier
  • Improving assessment of cancer risk
  • Strengthening diagnostic approaches

What kinds of technologies or approaches does the FOA emphasize?

A central theme is integration. Applicants are expected to combine:

  • Multi-modality imaging strategies (using more than one imaging approach in a coordinated way)
  • Multiplexed biomarker methodologies (measuring multiple biomarkers together)

The intent is for imaging and biomarker methods to function as a single complementary system, not as separate, disconnected tests.

Does this program fund standalone projects, or is collaboration required?

Collaboration is a defining feature. The FOA is designed to create and operate a Consortium for Imaging and Biomarkers (CIB), rather than funding isolated projects that operate independently.

What is the Consortium for Imaging and Biomarkers (CIB)?

The CIB is a consortium structure where multiple funded, multi-disciplinary research teams work together under a shared program framework. The goal is to generate added value through consortium-wide coordination, such as standardization, cross-validation, shared tools, and coordinated problem-solving.

What are the research teams called within this consortium structure?

Funded multi-disciplinary research teams are referred to as Units.

What is expected of funded Units besides conducting their own research?

Units are expected to actively participate in consortium-wide collaboration, including (as described in the summary):

  • Conducting joint or aligned studies where appropriate
  • Routinely exchanging information and data
  • Sharing expertise and know-how
  • Leveraging common resources developed across the consortium

What does the cooperative agreement format imply for NIH involvement?

While specific oversight details are not provided in the summary, the cooperative agreement format typically implies that NIH program staff may have substantial involvement in coordinating consortium activities, encouraging sharing of data and resources, and helping align individual projects with broader consortium objectives.

How is this opportunity categorized?

The activity area is categorized under Education and Health.

What CFDA numbers are associated with this program?

The program is associated with CFDA 93.393 and CFDA 93.394, which correspond to NIH cancer-related assistance programs.

Who is eligible to apply?

Eligibility is broad and includes many organization types, including:

  • State, county, city, township, and special district governments
  • Independent school districts
  • Public and state-controlled institutions of higher education
  • Private institutions of higher education
  • Federally recognized Native American tribal governments and other tribal organizations
  • Public housing authorities and Indian housing authorities
  • Nonprofit organizations (with or without 501(c)(3) status)
  • For-profit organizations other than small businesses
  • Small businesses
  • An Others category (with additional clarification referenced in the full eligibility text)

When was this FOA created and posted?

The FOA was created and posted on January 25, 2016.

What is the application closing date?

The application closing date is listed as December 11, 2018. The provided record indicates the original and current closing dates are the same.

Is an award ceiling listed in the provided information?

No. The source record does not provide an award ceiling.

Does the provided information state how many awards will be made?

No. The source record does not state the expected number of awards.

What is the overall program goal in practical terms?

Based on the summary, the program aims to accelerate clinically meaningful early cancer detection by deliberately pairing imaging and biomarker technologies, while requiring funded teams to operate as an active, resource-sharing consortium rather than as standalone projects.

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