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Minnesota · Public charity

Lung Cancer Foundation of America

LUNG CANCER FOUNDATION OF AMERICA (lcfa) is working to change the public perception of lung cancer through education and personal stories about lung cancer and to improve patient outcomes through funding impactful research.

$200k
Granted FY2017
1
Grants FY2017
1
Organizations funded FY2017
Read the full brief
Median grant, FY2017
$200,000
Largest grant, FY2017
$200,000
Total assets, FY2017
$2.5M

Top grantees

Largest grants in FY2017.

RECIPIENTS TO BE CHOSEN IN 2018 (SEE FOOTNOTE IN PART IV )$200,000

Compare Lung Cancer Foundation of America with peer funders

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How do I get to Lung Cancer Foundation of America?

Find your warmest path to Lung Cancer Foundation of America through trustees and officers whose names appear on both boards. Search for your organization and Plinth traces the shortest route it can evidence.

Each link is a name appearing on two organizations’ public IRS 990 filings, matched on that name and, where the filings support it, on location. A same-state match has geographic support, which is a second matching feature rather than confirmation that the two are one person; a cross-state one is the likeliest to be two people who share a name. Every hop shows its tier, low-confidence and distant paths are held back rather than guessed, and it is worth confirming the person before you use the introduction.

About Lung Cancer Foundation of America

How much does Lung Cancer Foundation of America give?
Lung Cancer Foundation of America reported 1 grants totaling $200,000 in its FY2017 IRS filing.
What does Lung Cancer Foundation of America fund?
By grant dollars over FY2017 to FY2017, its largest causes are Health (100%).
Where is Lung Cancer Foundation of America based?
Lung Cancer Foundation of America is based in MN.

On method. Every financial figure here is read from IRS e-file XML, the funder’s own 990/990-PF, and from the multi-year returns of the 1 grantees we resolved, each linked to its source. Grantee outcomes are each organization’s own program-service reporting (Form 990, Part III), read as association with funding, never as caused by it. Low-confidence name matches are suppressed rather than guessed. How we build these →

How this is measured
Each figure carries one of six labels. Filed is what the funder reported on its return. Official is another government record about an organization, such as a federal award or a charity register, joined by name where no shared identifier exists. Resolved is an identity we worked out where the filing named a recipient without an EIN, kept only above a measured confidence threshold. Computed is arithmetic over those, like themes, portfolio clusters and co-funder strength. Context is a statistic about a place rather than about an organization, which is what the need overlay is: it describes the area a grantee’s address sits in, not where its work lands. Inferred is drawn by a model from text, like the partnerships read out of public news and organization websites. Each is labeled where it appears.

Generated from the IRS Form 990 e-file return for fiscal year 2017, released 2017. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Possibly out of date. A more recent filing (FY2025) is on record and reports $200k of grant expense, but none of it to a named recipient. On a Form 990 that can mean grants abroad, filed by region only (Schedule F), grants under $5,000, which are not itemized, or a schedule referenced as an attachment the e-file does not carry. The figures above are therefore from FY2017, the most recent year this funder named its grantees.

Source object · view filing

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