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.
BEATAML1.0-COHORT
Functional Genomic Landscape of Acute Myeloid Leukemia
7 awards paid to create it · 33 awards funded work that used it
1. Awards that paid to create this data (6 of 7)
- Characterizing the pathogenesis and targeted therapeutics of Wilms' Tumor 1 (WT… · Haijiao Zhang · FY2019–2020
- Translational Oncology Research Program · Jeffrey Wallace Tyner, Mindy Roberts · FY2019–2026
- Characterizing the pathogenesis and targeted therapeutics of Wilms' Tumor 1 (WT… · Haijiao Zhang · FY2021–2023
- Pathogenetic Mechanism and Clinical Targeting of CSF3R-Driven Cancer · Jeffrey Wallace Tyner · FY2014–2018
- An Academic-Industry Partnership to Advance Functional Genomics for Personalize… · CHRISTOPHER J KEMP · FY2018–2022
- Functional Genomic Discovery of Pathway Targeted and Immune Modulatory Therapeu… · BRIAN J DRUKER, Jeffrey Wallace Tyner · FY2017–2021
The best connected are shown.
2. The dataset
3. Articles that used it (5)
4. Awards those articles were funded by (6 of 33)
- ECOG-ACRIN Network Group Statistics and Data Management Center · PAUL J CATALANO, CONSTANTINE A. GATSONIS · FY2014–2026funded 1 of these 5 articles
- Member Site Core · Peter J ODwyer, MITCHELL D. SCHNALL · FY2014–2026funded 1 of these 5 articles
- COG NCTN Network Group Operations Center · Douglas S. Hawkins, Richard Aplenc · FY2014–2026funded 1 of these 5 articles
- SWOG Network Group Operations Center of the NCTN · DAWN HERSHMAN, PRIMO N. LARA · FY2014–2026funded 1 of these 5 articles
- Children's Oncology Group Statistics and Data Center · TODD A ALONZO, Meenakshi Devidas · FY2014–2026funded 1 of these 5 articles
- Antitumor Assessment · Elisa de Stanchina, FRANCESCA M GANY · FY1985–2026funded 3 of these 5 articles
The best connected are shown.
Awards that paid to create this data
Credited on the dataset's own marker paper.
| Award | Project | Evidence |
|---|---|---|
| K99CA237630 K99FY2019–2020$204k | Characterizing the pathogenesis and targeted therapeutics of Wilms' Tumor 1 (WT1) mutations in AML | API |
| P30CA069533 P30FY2019–2026$46.0M | Translational Oncology Research Program | API |
| R00CA237630 R00FY2021–2023$747k | Characterizing the pathogenesis and targeted therapeutics of Wilms' Tumor 1 (WT1) mutations in AML | API |
| R01CA183974 R01FY2014–2018$1.6M | Pathogenetic Mechanism and Clinical Targeting of CSF3R-Driven Cancer | API |
| R01CA214428 R01FY2018–2022$3.0M | An Academic-Industry Partnership to Advance Functional Genomics for Personalized Oncology. | API |
| U01CA217862 U01FY2017–2021$5.3M | Functional Genomic Discovery of Pathway Targeted and Immune Modulatory Therapeutic Combinations in Hematologic Malignancies | API |
| U54CA224019 U54FY2017–2026$25.0M | Architecture and Trajectory of Acquired Resistance to Therapy in AML | API |
Awards that funded work using this data
5 of 10 traced articles report an NCI award.
| Award | Project | Articles it is credited on | Evidence |
|---|---|---|---|
| U10CA180794 U10FY2014–2026$177.8M | ECOG-ACRIN Network Group Statistics and Data Management Center | API | |
| U10CA180820 U10FY2014–2026$250.8M | Member Site Core | API | |
| U10CA180886 U10FY2014–2026$437.4M | COG NCTN Network Group Operations Center | API | |
| U10CA180888 U10FY2014–2026$225.6M | SWOG Network Group Operations Center of the NCTN | API | |
| U10CA180899 U10FY2014–2026$165.4M | Children's Oncology Group Statistics and Data Center | API | |
| U24CA196172 U24FY2015–2026$41.1M | ECOG-ACRIN Biospecimen Bank to Support NCTN | API | |
| P30CA240139 P30FY2019–2026$40.5M | Behavioral and Community-Based Research Shared Resource | API | |
| R01CA166835 R01FY2012–2026$4.6M | Targeted therapy for t(8;21)+ AML | API | |
| R01CA186702 R01FY2014–2026$8.0M | Mechanisms of epitranscriptomic regulation in cancer | API | |
| R01CA193842 R01FY2015–2025$4.1M | Characterizing the MSI2 network in leukemia | API | |
| R01CA225231 R01FY2018–2022$3.2M | Identification of therapeutic targets for leukemia stem cells in AML-iPSC models | API | |
| P20CA192996 P20FY2015–2018$1.2M | 2/2 Partnership to Study Racial/Ethnic Differences in GI Cancer Biology | API | |
| P30CA045508 P30FY1987–2026$227.1M | Cancer Research Training and Education Coordination Core | API | |
| R01CA188134 R01FY2017–2021$3.0M | Nrf2 Regulation of Ductal Pancreatic Cancer Etiology and Treatment Response | API | |
| R01CA229699 R01FY2019–2025$2.9M | Targeting aberrant enhancer landscapes in pancreatic cancer | API | |
| R01CA249002 R01FY2021–2025$3.9M | Fibroblast Heterogeneity in Pancreatic Cancer | API | |
| U01CA188590 U01FY2015–2017$934k | Computational Framework for Single-Cell Genomics of Tumors | API | |
| U01CA210240 U01FY2017–2026$12.9M | Pancreatic Cancer Detection Consortium | API | |
| U01CA224013 U01FY2018–2022$4.2M | CSHL-JAX Patient-Derived Models of Pancreatic Cancer as Systems for Investigating Tumor Heterogeneity | API | |
| P30CA008748 P30FY1985–2026$717.1M | Antitumor Assessment | API | |
| R01CA226802 R01FY2018–2022$2.4M | Unbiased identification of spliceosome vulnerabilities across cancer | API | |
| R01CA253981 R01FY2021–2025$2.9M | Modeling myelodysplasia | API | |
| R01CA275007 R01FY2022–2026$2.6M | Therapeutic targeting of IRAK4 in MDS | API | |
| F31CA284751 F31FY2023–2024$60k | Targeting Nonsense-Mediated RNA Decay in Splicing Factor Mutant Myeloid Malignancies. | API | |
| K12CA167540 K12FY2012–2026$11.7M | Washington University Paul Calabresi K12 Career Development Award for Clinical Oncology | API | |
| P01CA101937 P01FY2003–2023$106.0M | Genomics Of Acute Myeloid Leukemia. | API | |
| P30CA091842 P30FY2001–2026$223.2M | Clinical Protocol and Data Management | API | |
| P50CA171963 P50FY2013–2026$58.6M | Core A: Biospecimen Processing | API | |
| P50CA254838 P50FY2021–2025$21.5M | The Memorial Sloan Kettering Cancer Center SPORE in Leukemia | API | |
| R01CA242020 R01FY2020–2024$2.7M | Targeting an RNA Binding Protein Network in Acute Myeloid Leukemia | API | |
| R01CA251138 R01FY2020–2024$3.3M | Interrogating the minor spliceosome to understand and treat leukemia | API | |
| R01CA283364 R01FY2023–2026$2.9M | Synthetic introns for selective targeting of RNA splicing factor-mutant leukemia | API | |
| R35CA304457 R35FY2025–2026$2.0M | Understanding and Targeting Aberrant RNA Splicing in Leukemia | 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 |
|---|---|---|
| P01CA101937 P01FY2003–2023$106.0M | Genomics Of Acute Myeloid Leukemia. | API |
| P30CA008748 P30FY1985–2026$717.1M | Antitumor Assessment | API |
| P30CA045508 P30FY1987–2026$227.1M | Cancer Research Training and Education Coordination Core | API |
| P30CA091842 P30FY2001–2026$223.2M | Clinical Protocol and Data Management | API |
| P30CA240139 P30FY2019–2026$40.5M | Behavioral and Community-Based Research Shared Resource | API |
| P50CA171963 P50FY2013–2026$58.6M | Core A: Biospecimen Processing | API |
| P50CA254838 P50FY2021–2025$21.5M | The Memorial Sloan Kettering Cancer Center SPORE in Leukemia | API |
| U01CA188590 U01FY2015–2017$934k | Computational Framework for Single-Cell Genomics of Tumors | API |
| U01CA210240 U01FY2017–2026$12.9M | Pancreatic Cancer Detection Consortium | API |
| U01CA224013 U01FY2018–2022$4.2M | CSHL-JAX Patient-Derived Models of Pancreatic Cancer as Systems for Investigating Tumor Heterogeneity | API |
| U10CA180794 U10FY2014–2026$177.8M | ECOG-ACRIN Network Group Statistics and Data Management Center | API |
| U10CA180820 U10FY2014–2026$250.8M | Member Site Core | API |
| U10CA180886 U10FY2014–2026$437.4M | COG NCTN Network Group Operations Center | API |
| U10CA180888 U10FY2014–2026$225.6M | SWOG Network Group Operations Center of the NCTN | API |
| U10CA180899 U10FY2014–2026$165.4M | Children's Oncology Group Statistics and Data Center | API |
| U24CA196172 U24FY2015–2026$41.1M | ECOG-ACRIN Biospecimen Bank to Support NCTN | 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.