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.
prad_organoids_msk_2022
Prostate Cancer (MSK, Science 2022)
11 awards paid to create it · 0 awards funded work that used it
1. Awards that paid to create this data (6 of 11)
- Antitumor Assessment · Elisa de Stanchina, FRANCESCA M GANY · FY2025–2026
- Project 1: Non-Invasive Clinical Assay for Early Detection of Treatment Resista… · Himisha Beltran, David S. Rickman · FY2017–2021
- Biospecimen Repository Core · Hikmat Al-Ahmadie, David B. Solit · FY2024
- Role of ETS factors in specifying prostate luminal cell identity and androgen r… · CHARLES L. SAWYERS · FY2015–2025
- Understanding the role of an aberrant hepatic nuclear transcription circuit in… · Yu Chen · FY2017–2021
- Computational and experimental methods for scalable identification of oncogenic… · EKTA KHURANA, Neville Sanjana · FY2018–2026
The best connected are shown.
2. The dataset
3. Articles that used it
4. Awards those articles were funded by
Why one side of this chain is empty
- This dataset has no accession that articles quote, so no reuse can be traced and nothing it enabled is visible.
Awards that paid to create this data
Credited on the dataset's own marker paper.
| Award | Project | Evidence |
|---|---|---|
| P30CA008748 P30FY2025–2026$48.4M | Antitumor Assessment | API |
| P50CA211024 P50FY2017–2021$21.8M | Project 1: Non-Invasive Clinical Assay for Early Detection of Treatment Resistance in Patients with Metastatic Prostate Cancer | API |
| P50CA221745 P50FY2024$1.8M | Biospecimen Repository Core | API |
| R01CA193837 R01FY2015–2025$4.7M | Role of ETS factors in specifying prostate luminal cell identity and androgen receptor dependence | API |
| R01CA208100 R01FY2017–2021$2.5M | Understanding the role of an aberrant hepatic nuclear transcription circuit in prostate cancer tumorigenesis and castration resistance | API |
| R01CA218668 R01FY2018–2026$4.7M | Computational and experimental methods for scalable identification of oncogenic non-coding regions | API |
| R01CA228216 R01FY2018–2022$2.5M | Epigenetic mechanisms of transcriptional activation of a novel oncogenic ALK variant in cancer | API |
| R37CA241486 R37FY2020–2026$4.1M | Molecular mechanisms underlying lineage plasticity in prostate cancer | API |
| U01CA224044 U01FY2019–2023$5.1M | Patient-Derived Models of Prostate Cancer for Personalized Medicine | API |
| U01CA252048 U01FY2021–2025$3.1M | Understanding and targeting MAPK pathway activation in NF1-deficient malignant peripheral nerve sheath tumor (MPNST) | API |
| U54CA224079 U54FY2017–2021$13.6M | Project 2: Reversing resistance caused by lineage plasticity through epigenetic therapy | 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.