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.
nsclc_ctdx_msk_2022
Metastatic Non-Small Cell Lung Cancer (MSK, Nature Medicine 2022)
7 awards paid to create it · 0 awards funded work that used it
1. Awards that paid to create this data (6 of 7)
- Mediators of Lung Adenocarcinoma Metastasis · JOAN MASSAGUE, Piro Lito · FY2026
- Antitumor Assessment · Elisa de Stanchina, FRANCESCA M GANY · FY2025–2026
- MSK SPORE in Genomic Instability in Breast Cancer · Simon N. Powell, Sohrab P Shah · FY2023–2025
- Studies on the effects of a novel intermittent therapy on intratumoral clonal a… · Piro Lito · FY2019–2023
- Dissecting KRAS oncoprotein signaling with small molecule inhibitors · Piro Lito · FY2018–2026
- Mechanisms of adaptation and resistance to emerging therapies for lung cancer · Piro Lito · FY2023–2026
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 |
|---|---|---|
| P01CA129243 P01FY2026$4.9M | Mediators of Lung Adenocarcinoma Metastasis | API |
| P30CA008748 P30FY2025–2026$48.4M | Antitumor Assessment | API |
| P50CA247749 P50FY2023–2025$9.5M | MSK SPORE in Genomic Instability in Breast Cancer | API |
| R01CA230267 R01FY2019–2023$2.0M | Studies on the effects of a novel intermittent therapy on intratumoral clonal architecture and resistance | API |
| R01CA230745 R01FY2018–2026$3.8M | Dissecting KRAS oncoprotein signaling with small molecule inhibitors | API |
| R01CA279264 R01FY2023–2026$2.0M | Mechanisms of adaptation and resistance to emerging therapies for lung cancer | API |
| T32CA009207 T32FY1985–2026$20.1M | Investigational Cancer Therapeutics Training Program (ICTTP) | 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.