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.
PDC000222
CPTAC HNSCC Discovery Study
0 awards paid to create it · 15 awards funded work that used it
1. Awards that paid to create this data
2. The dataset
3. Articles that used it
4. Awards those articles were funded by (6 of 15)
- Cancer Center Administration · ALEX MACDONALD, SELWYN M VICKERS · FY1985–2026funded this article
- Cancer Research Training and Education Coordination · Kerry L Burnstein, David Benner Lombard · FY2019–2026funded this article
- Translational Breast Cancer Research Training Program · Suzanne AW Fuqua, Mothaffar Fahed Rimawi · FY2018–2022funded this article
- Proteogenomic studies aimed at understanding ovarian tumor responses to agents… · Michael Birrer, AMANDA G PAULOVICH · FY2017–2021funded this article
- Proteogenomic Translational Research Center for Clinical Proteomic · BRIAN J DRUKER, Karin D Rodland · FY2017–2021funded this article
- MICROSCALED PROTEOGENOMICS FOR CANCER CLINICAL TRIALS · Meenakshi Anurag, STEVEN A CARR · FY2017–2021funded this article
The best connected are shown.
Why one side of this chain is empty
- No repository or reviewer names this dataset's marker paper, so no award can be credited with creating it.
Awards that funded work using this data
1 of 10 traced articles report an NCI award.
| Award | Project | Articles it is credited on | Evidence |
|---|---|---|---|
| P30CA008748 P30FY1985–2026$717.9M | Cancer Center Administration | API | |
| P30CA240139 P30FY2019–2026$40.7M | Cancer Research Training and Education Coordination | API | |
| T32CA203690 T32FY2018–2022$1.0M | Translational Breast Cancer Research Training Program | API | |
| U01CA214114 U01FY2017–2021$8.4M | Proteogenomic studies aimed at understanding ovarian tumor responses to agents targeting the DNA damage response and translating this knowledge into clinical benefit | API | |
| U01CA214116 U01FY2017–2021$6.8M | Proteogenomic Translational Research Center for Clinical Proteomic | API | |
| U01CA214125 U01FY2017–2021$7.0M | MICROSCALED PROTEOGENOMICS FOR CANCER CLINICAL TRIALS | API | |
| U24CA210954 U24FY2016–2020$4.9M | iPGDAC, An Integrative Proteogenomic Data Analysis Center for CPTAC | API | |
| U24CA210955 U24FY2016–2020$5.3M | PNNL Proteome Characterization Center | API | |
| U24CA210967 U24FY2016–2020$4.1M | University of Michigan Proteogenomics Data Analysis Center | API | |
| U24CA210972 U24FY2016–2020$3.3M | Proteogenomic Data Analysis for Cancer Systems Biology and Clinical Translation | API | |
| U24CA210979 U24FY2016–2020$4.4M | Integrated high throughput proteogenomic data analysis center for CPTAC | API | |
| U24CA210985 U24FY2016–2020$5.3M | The Comprehensive Proteome Characterization Center at Johns Hopkins: High Precision Discovery and Confirmation of Genoproteomic Targets | API | |
| U24CA210986 U24FY2016–2020$6.4M | Center of Excellence for High Throughput Proteogenomic Characterization | API | |
| U24CA210993 U24FY2016–2020$4.6M | Systems Biology based Proteogenomic Translator for Cancer Marker Discovery towards Precision Medicine | API | |
| U24CA271037 U24FY2022–2026$4.4M | Michigan Center for Translational Cancer Proteogenomics | 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 |
|---|---|---|
| P30CA008748 P30FY1985–2026$717.9M | Cancer Center Administration | API |
| P30CA240139 P30FY2019–2026$40.7M | Cancer Research Training and Education Coordination | API |
| U01CA214114 U01FY2017–2021$8.4M | Proteogenomic studies aimed at understanding ovarian tumor responses to agents targeting the DNA damage response and translating this knowledge into clinical benefit | API |
| U01CA214116 U01FY2017–2021$6.8M | Proteogenomic Translational Research Center for Clinical Proteomic | API |
| U01CA214125 U01FY2017–2021$7.0M | MICROSCALED PROTEOGENOMICS FOR CANCER CLINICAL TRIALS | API |
| U24CA210954 U24FY2016–2020$4.9M | iPGDAC, An Integrative Proteogenomic Data Analysis Center for CPTAC | API |
| U24CA210955 U24FY2016–2020$5.3M | PNNL Proteome Characterization Center | API |
| U24CA210967 U24FY2016–2020$4.1M | University of Michigan Proteogenomics Data Analysis Center | API |
| U24CA210972 U24FY2016–2020$3.3M | Proteogenomic Data Analysis for Cancer Systems Biology and Clinical Translation | API |
| U24CA210979 U24FY2016–2020$4.4M | Integrated high throughput proteogenomic data analysis center for CPTAC | API |
| U24CA210985 U24FY2016–2020$5.3M | The Comprehensive Proteome Characterization Center at Johns Hopkins: High Precision Discovery and Confirmation of Genoproteomic Targets | API |
| U24CA210986 U24FY2016–2020$6.4M | Center of Excellence for High Throughput Proteogenomic Characterization | API |
| U24CA210993 U24FY2016–2020$4.6M | Systems Biology based Proteogenomic Translator for Cancer Marker Discovery towards Precision Medicine | API |
| U24CA271037 U24FY2022–2026$4.4M | Michigan Center for Translational Cancer Proteogenomics | 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.