Funding in, findings out
For any dataset: the NCI award that paid to create it, and the awards that got a published finding out of it afterwards.
TARGET-AML
Acute Myeloid Leukemia
6 awards paid to create it · 18 awards funded work that used it
1. Awards that paid to create this data (6)
- Biology and Prognostic Implications of FLT3 Mutations in AML · SOHEIL MESHINCHI · FY2005–2016
- Children's Oncology Group Statistics and Data Center Grant · JAMES R ANDERSON, Meenakshi Devidas · FY2003–2013
- Children's Oncology Group Chair's Grant · PETER C. ADAMSON, GREGORY H REAMAN · FY2003–2013
- COG NCTN Network Group Operations Center · Douglas S. Hawkins, Richard Aplenc · FY2014–2026
- Children's Oncology Group Statistics and Data Center · TODD A ALONZO, Meenakshi Devidas · FY2014–2026
- Support for Human Specimen Banking in NCI-Sponsored Clinical Trials-(CGB) · Nilsa Del Carmen Ramirez Milan, GREGORY H REAMAN · FY2005–2014
2. The dataset
3. Articles that used it (6 of 9)
- Bolouri et al. · Nature medicine · 2018724 citations
- Farrar et al. · Cancer research · 2016139 citations
- McNeer et al. · Leukemia · 2019121 citations
- Umeda et al. · Nature genetics · 2024117 citations
- Umeda et al. · Blood cancer discovery · 2022105 citations
- Smith et al. · Clinical cancer research : an official journal of the American Association for Cancer Research · 202069 citations
The best connected are shown.
4. Awards those articles were funded by (6 of 18)
- Children's Oncology Group Statistics and Data Center Grant · JAMES R ANDERSON, Meenakshi Devidas · FY2003–2013funded 2 of these 9 articles · also paid to create this data
- Cancer Biology (CBP) · Douglas R. Green, Michael A Dyer · FY1985–2026funded 5 of these 9 articles
- Children's Oncology Group Chair's Grant · PETER C. ADAMSON, GREGORY H REAMAN · FY2003–2013funded 6 of these 9 articles · also paid to create this data
- Biology and Prognostic Implications of FLT3 Mutations in AML · SOHEIL MESHINCHI · FY2005–2016funded 5 of these 9 articles · also paid to create this data
- COG NCTN Network Group Operations Center · Douglas S. Hawkins, Richard Aplenc · FY2014–2026funded 5 of these 9 articles · also paid to create this data
- Children's Oncology Group Statistics and Data Center · TODD A ALONZO, Meenakshi Devidas · FY2014–2026funded 5 of these 9 articles · also paid to create this data
The best connected are shown.
Awards that paid to create this data
Credited on the dataset's own marker paper.
| Award | Project | Evidence |
|---|---|---|
| R01CA114563 R01FY2005–2016$4.4M | Biology and Prognostic Implications of FLT3 Mutations in AML | API2 |
| U10CA098413 U10FY2003–2013$67.5M | Children's Oncology Group Statistics and Data Center Grant | API2 |
| U10CA098543 U10FY2003–2013$335.5M | Children's Oncology Group Chair's Grant | API2 |
| U10CA180886 U10FY2014–2026$455.4M | COG NCTN Network Group Operations Center | API2 |
| U10CA180899 U10FY2014–2026$175.1M | Children's Oncology Group Statistics and Data Center | API2 |
| U24CA114766 U24FY2005–2014$14.5M | Support for Human Specimen Banking in NCI-Sponsored Clinical Trials-(CGB) | API2 |
Awards that funded work using this data
9 of 10 traced articles report an NCI award. 6 of these awards also paid to create the data - the same team publishing again on its own cohort, not a duplicated row.
| Award | Project | Articles it is credited on | Evidence |
|---|---|---|---|
| U10CA098413 U10FY2003–2013$67.5M | Children's Oncology Group Statistics and Data Center Grant | API2 | |
| U24CA114766 U24FY2005–2014$14.5M | Support for Human Specimen Banking in NCI-Sponsored Clinical Trials-(CGB) | API2 | |
| T32CA009351 T32FY1985–2026$8.9M | Pediatric Oncology Research Training Program | API | |
| P30CA008748 P30FY1985–2026$719.5M | Cancer Center Administration | API | |
| R01CA204396 R01FY2016–2025$5.2M | ABERRANT SIGNALING IN ACUTE MYELOID LEUKEMIA | API | |
| P30CA016058 P30FY1985–2026$258.5M | Shared Resource 10: Pharmacoanalytical Shared Resource (PhASR) | API | |
| U54CA243124 U54FY2019–2023$20.9M | Experimental and preclinical modeling of NUP98-rearranged acute leukemia | API | |
| K08CA256489 K08FY2021–2025$1.2M | Co-targeting BET Bromodomain Proteins and Aberrant Signaling in AML. | API | |
| T32CA236748 T32FY2019–2026$2.0M | Childhood Hematological Malignancies Training Program | API | |
| P30CA021765 P30FY1985–2026$335.9M | Cancer Biology (CBP) | API | |
| U10CA098543 U10FY2003–2013$335.5M | Children's Oncology Group Chair's Grant | API2 | |
| R01CA114563 R01FY2005–2016$4.4M | Biology and Prognostic Implications of FLT3 Mutations in AML | API2 | |
| U10CA180886 U10FY2014–2026$455.4M | COG NCTN Network Group Operations Center | API2 | |
| U10CA180899 U10FY2014–2026$175.1M | Children's Oncology Group Statistics and Data Center | API2 | |
| R01CA139158 R01FY2011–2021$3.7M | MiRNAs in hepatocellular carcinoma development and treatment | API | |
| P01CA096832 P01FY2003–2025$67.7M | CORE A - Administration | API | |
| R50CA211481 R50FY2016–2020$841k | MULTIMODAL PRECLINICAL CANCER IMAGING AND THERAPY RESEARCH SPECIALIST | API | |
| P30CA015704 P30FY1985–2026$562.9M | Prostate Cancer | API |
Awards that maintain or redistribute this data
Resource and center grants credited on articles that used the data. Kept out of the flow above because they pay for the pipes, not for a cohort or a finding.
| Award | Project | Evidence |
|---|---|---|
| P01CA096832 P01FY2003–2025$67.7M | CORE A - Administration | API |
| P30CA008748 P30FY1985–2026$719.5M | Cancer Center Administration | API |
| P30CA015704 P30FY1985–2026$562.9M | Prostate Cancer | API |
| P30CA016058 P30FY1985–2026$258.5M | Shared Resource 10: Pharmacoanalytical Shared Resource (PhASR) | API |
| P30CA021765 P30FY1985–2026$335.9M | Cancer Biology (CBP) | API |
| U54CA243124 U54FY2019–2023$20.9M | Experimental and preclinical modeling of NUP98-rearranged acute leukemia | API |
Where the links come from
NIH RePORTER maps a PMID to the awards that reported it. On a dataset’s marker paper that gives the awards which created it; on an article that used the data, the awards which funded that use.
The two sides are not measured alike. Generation is complete: a dataset has one marker paper and every award on it is resolved. Reuse is a sample - the articles using a dataset can number in the thousands, and only the few dozen strongest are retrieved and looked up. Every award shown here funded reuse; there are more that are not shown.
How far it reaches
283 datasets have an award credited with creating them, 80 with using them, and 31 both.
What is missing
No citable accession means no traceable articles; no authoritative marker paper means no attributable generation award. Absence is a gap in the record. Methods.
Start from an award instead, and see every dataset it touches.