Bridging the Gap Between Cancer Mechanism and Population Science (U01) | Apply Online

Frequently Asked Questions (FAQs): NIH PAR-13-081 - Bridging the Gap Between Cancer Mechanism and Population Science (U01)

What is the NIH grant opportunity PAR-13-081 trying to fund?

PAR-13-081 supports research projects that intentionally connect cancer mechanistic science (such as cancer biology and related laboratory or model-based work) with population science (such as epidemiology, incidence and outcome patterns, risk factors, disparities, screening uptake, and survivorship trends). The goal is to close the long-standing divide between what is discovered about how cancer works at the mechanistic level and what is observed in real-world populations.

What does "bridging the gap" mean in practical project terms?

It means the project should move information in both directions: mechanistic insights should help explain population-level patterns, and population findings should be used to test, refine, or challenge mechanistic or biological models. The research plan is expected to connect observations across scales, rather than treating mechanistic and population research as separate tracks.

What kinds of research components are considered "mechanistic science" in this FOA?

The FOA describes mechanistic cancer science in terms of topics like molecular pathways, cellular behavior, tumor microenvironment, genetic and epigenetic changes, and biomarkers. In general, this refers to research aimed at understanding how cancer develops, progresses, or responds to exposures or interventions at a biological or mechanistic level.

What kinds of research components are considered "population science" in this FOA?

The FOA describes population science through examples such as incidence patterns, risk factors, disparities, screening uptake, outcomes, and survivorship trends. This includes approaches that analyze real-world patterns and variability across people and groups, including differences driven by exposures, behaviors, and clinical outcomes.

Why does NIH emphasize combining mechanistic and population science in one project?

The FOA highlights that many cancer research questions are difficult to solve using only one approach. A purely mechanistic study may identify a pathway or biomarker but struggle to show relevance across diverse populations or real clinical settings. A purely epidemiologic study may identify associations or disparities but not explain the underlying biology or causal mechanisms. NIH is seeking integrated projects that connect and cross-validate evidence across scales.

Does the FOA allow projects that are only mechanistic or only epidemiologic?

Based on the FOA description provided, the intent is not to fund projects that stay entirely within one approach. The opportunity emphasizes integrated work where mechanistic and population science components are deliberately connected within the same cohesive project.

What does "cross-validate evidence across scales" mean here?

It means population-level observations should be linked to biological measurements or models, and biological findings should be evaluated in the context of population variability, exposures, behaviors, and clinical outcomes. The design should make the connection between levels a central part of how the research question is answered.

What kinds of outcomes or impacts does NIH want these projects to support?

The FOA highlights practical health relevance, focusing on how cross-scale connections could inform treatment, prevention, diagnosis, and/or screening. In other words, the integration should ideally produce findings that are both biologically grounded and meaningful for real-world cancer control.

What is the funding mechanism for this opportunity?

The mechanism is a U01 cooperative agreement. This is a type of NIH award that generally involves a more collaborative relationship with NIH program staff than a standard research grant.

What does a U01 cooperative agreement imply for how the project is run?

Under cooperative agreements, NIH program staff often have substantial involvement in shaping or overseeing aspects of the research as it progresses. The FOA frames this involvement as supporting alignment with program objectives and helping ensure complex, multi-disciplinary integration is carried out effectively.

Does the FOA require one integrated project or can applicants propose multiple subprojects?

The FOA emphasizes that each application must propose only one cohesive project that integrates mechanistic and population science components. It does not support a bundle of loosely related subprojects; integration is expected to be built into the core logic, design, and execution of one unified research plan.

What types of organizations are eligible to apply?

Eligibility is broad and includes many U.S. and non-U.S. organizations. Eligible applicants include: state, county, city or township, and special district governments; public and private institutions of higher education; nonprofits (with and without 501(c)(3) status, with the common exception language for institutions of higher education); and for-profit organizations, including small businesses.

Are minority-serving institutions specifically included in the eligibility language?

Yes. The FOA explicitly includes institutional types such as Historically Black Colleges and Universities (HBCUs), Hispanic-serving Institutions, Tribal Colleges and Universities (TCCUs), Alaska Native and Native Hawaiian-serving institutions, and Asian American Native American Pacific Islander Serving Institutions (AANAPISIs).

Are foreign (non-U.S.) organizations eligible to apply?

Yes. The FOA states that foreign organizations and foreign institutions are eligible to apply.

Are foreign components allowed if the applicant is a U.S. organization?

Yes. The FOA notes that foreign components are allowed under NIH policy, and non-U.S. components of U.S. organizations may participate.

Does this opportunity require cost sharing or matching funds?

No. The description states that the announcement does not require cost sharing or matching.

What agency sponsors this funding opportunity?

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

How is this opportunity categorized in terms of funding type and activity areas?

It is categorized as discretionary funding and falls under health and education activity areas.

What CFDA program areas are associated with this FOA?

The description lists CFDA numbers 93.273, 93.393, 93.394, and 93.396, which map to cancer biology, detection and diagnosis, cause and prevention, and also alcohol research programs.

Does the FOA only support projects strictly about cancer biology, or can it include related exposures like alcohol?

While the FOA is cancer-focused, the listed CFDA mappings include alcohol research programs, signaling that relevant projects could include cancer-related questions where exposures such as alcohol use intersect with biological mechanisms and population risk patterns, as long as the project remains cohesive and aligned with NIH requirements.

When was PAR-13-081 posted, and what were the closing dates?

The opportunity was posted and created on January 10, 2013. The original and final closing date was November 4, 2015, and the archive date was December 5, 2015.

Is PAR-13-081 still open for applications?

No. The FOA is archived, with a final closing date of November 4, 2015, and an archive date of December 5, 2015.

If the FOA is archived, why might it still be useful to read?

Even though it is archived, the description remains an example of NIH priorities around integrative, cross-disciplinary cancer research that links mechanistic biology with population science to produce findings that are biologically grounded and applicable to real-world cancer prevention and control.

Where was the full announcement hosted, and who is listed for website or linking issues?

The full announcement was hosted on the NIH grants site (per the source description). The contact listed for access or linking issues is the NIH Office of Extramural Research webmaster at FBOWebmaster@OD.NIH.GOV.