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.
CTSP-DLBCL1
CTSP Diffuse Large B-Cell Lymphoma (DLBCL) CALGB 50303
10 awards paid to create it · 13 awards funded work that used it
1. Awards that paid to create this data (6 of 10)
- Biostatistics and Bioinformatics Facility · Eric Andrew Ross, Margaret von Mehren · FY2019–2026
- Antitumor Assessment · Elisa de Stanchina, FRANCESCA M GANY · FY1985–2026
- Eastern Cooperative Oncology Group · JORDAN D BERLIN, DAVID H JOHNSON · FY1989–2013
- National Clinical Trials Network Research at the University of Wisconsin · Bethany M Anderson, DAVID M KUSHNER · FY2014–2018
- ECOG-ACRIN Network Group Operations Center · Peter J ODwyer, MITCHELL D. SCHNALL · FY2014–2026
- Alliance for Clinical Trials in Oncology Member Site Core · Evanthia Galanis, Olwen Hahn · FY2014–2026
The best connected are shown.
2. The dataset
3. Articles that used it (6)
- Phelan et al. · Nature · 2018347 citations
- Razzaghi et al. · The Journal of experimental medicine · 202129 citations
- Phelan et al. · Cancer cell · 202427 citations
- Yewdell et al. · Immunity · 202026 citations
- Moiso et al. · Cancer discovery · 202223 citations
- Ghose et al. · Molecular therapy oncolytics · 202111 citations
4. Awards those articles were funded by (6 of 13)
- Molecular Diagnosis and Prognosis in Aggressive Lymphoma · Lisa Rimsza · FY2011–2015funded 2 of these 6 articles
- Preclinical Models and Therapeutics Core · Giorgio Inghirami, David William Scott · FY2018–2022funded 1 of these 6 articles
- Signaling, Genomes, and Networks · Arminja Nadine Kettenbach, KEITH D. PAULSEN · FY1985–2026funded 1 of these 6 articles
- Antitumor Assessment · Elisa de Stanchina, FRANCESCA M GANY · FY1985–2026funded 1 of these 6 articles · also paid to create this data
- Immunology Research Training · Alexander Y Rudensky, JAMES P ALLISON · FY1985–2022funded 1 of these 6 articles
- Planning and Evaluation Core (PEC) · ADRIANA ESPINOSA, Sanna M Goyert · FY2008–2025funded 1 of these 6 articles
The best connected are shown.
Awards that paid to create this data
Credited on the dataset's own marker paper.
| Award | Project | Evidence |
|---|---|---|
| P30CA006927 P30FY2019–2026$29.7M | Biostatistics and Bioinformatics Facility | API |
| P30CA008748 P30FY1985–2026$718.6M | Antitumor Assessment | API2 |
| U10CA049957 U10FY1989–2013$7.4M | Eastern Cooperative Oncology Group | API |
| U10CA180799 U10FY2014–2018$2.8M | National Clinical Trials Network Research at the University of Wisconsin | API |
| U10CA180820 U10FY2014–2026$256.4M | ECOG-ACRIN Network Group Operations Center | API |
| U10CA180821 U10FY2014–2026$276.2M | Alliance for Clinical Trials in Oncology Member Site Core | API |
| U10CA180833 U10FY2014–2018$7.6M | Washington University/ Siteman Cancer Center Lead Academic Site | API |
| U10CA180847 U10FY2014–2018$2.6M | Vanderbilt Network Lead Academic Participating Site for the NCTN | API |
| U10CA180882 U10FY2014–2026$172.9M | Data Management Core | API |
| U10CA180888 U10FY2014–2026$231.9M | SWOG Network Group Operations Center of the NCTN | API |
Awards that funded work using this data
6 of 10 traced articles report an NCI award. 1 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 |
|---|---|---|---|
| U01CA157581 U01FY2011–2015$3.1M | Molecular Diagnosis and Prognosis in Aggressive Lymphoma | API | |
| P01CA229100 P01FY2018–2022$20.5M | Preclinical Models and Therapeutics Core | API | |
| P30CA023108 P30FY1985–2026$196.5M | Signaling, Genomes, and Networks | API | |
| P30CA008748 P30FY1985–2026$718.6M | Antitumor Assessment | API2 | |
| T32CA009149 T32FY1985–2022$6.1M | Immunology Research Training | API | |
| U54CA132378 U54FY2008–2025$52.1M | Planning and Evaluation Core (PEC) | API | |
| U54CA137788 U54FY2008–2026$52.4M | Outreach Core (PCORE) | API | |
| K08CA237856 K08FY2020–2024$976k | Mechanisms of non-genetic variation in melanoma | API | |
| P30CA014051 P30FY1985–2026$195.2M | Leadership, Planning and Evaluation | API | |
| R37CA225655 R37FY2018–2024$3.0M | Illuminating the evolutionary history of colorectal cancer metastasis: basic principles and clinical applications | API | |
| P30CA016058 P30FY1985–2026$258.1M | Shared Resource 10: Pharmacoanalytical Shared Resource (PhASR) | API | |
| P30CA033572 P30FY1985–2026$174.5M | Clinical Protocol and Data Management | API | |
| R01CA194742 R01FY2016–2021$2.7M | Reolysin-based combination therapy in relapsed multiple myeloma | 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 |
|---|---|---|
| P01CA229100 P01FY2018–2022$20.5M | Preclinical Models and Therapeutics Core | API |
| P30CA014051 P30FY1985–2026$195.2M | Leadership, Planning and Evaluation | API |
| P30CA016058 P30FY1985–2026$258.1M | Shared Resource 10: Pharmacoanalytical Shared Resource (PhASR) | API |
| P30CA023108 P30FY1985–2026$196.5M | Signaling, Genomes, and Networks | API |
| P30CA033572 P30FY1985–2026$174.5M | Clinical Protocol and Data Management | API |
| U01CA157581 U01FY2011–2015$3.1M | Molecular Diagnosis and Prognosis in Aggressive Lymphoma | API |
| U54CA132378 U54FY2008–2025$52.1M | Planning and Evaluation Core (PEC) | API |
| U54CA137788 U54FY2008–2026$52.4M | Outreach Core (PCORE) | 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.