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.
TCGA-STAD
Stomach Adenocarcinoma
18 awards paid to create it · 10 awards funded work that used it
1. Awards that paid to create this data (6 of 18)
- Cancer Center Support Grant · PETER W PISTERS, FUNDA MERIC-BERNSTAM · FY2019–2025
- MD Anderson Gynecologic SPORE for Uterine Cancers · RUSSELL R BROADDUS, Karen Hsieh Lu · FY2003–2020
- Suppression of genomic instability by tuning the DNA damage response at telomer… · RACHEL L. FLYNN · FY2013–2015
- CANCER SUSCEPTIBILITY VARIANT DISCOVERY IN HIGH THROUGHPUT SEQUENCING DATA · Li Ding · FY2013–2016
- The TCGA Cancer Genome Characterization Center at MSKCC · Marc Ladanyi · FY2006–2009
- TCGA Data Analysis Center at Berkeley · PAUL T. SPELLMAN, Terence Paul Speed · FY2009–2016
The best connected are shown.
2. The dataset
3. Articles that used it
4. Awards those articles were funded by (6 of 10)
- Antitumor Assessment · Elisa de Stanchina, FRANCESCA M GANY · FY1985–2026funded this article
- SPORE in Prostate Cancer · Yu Chen, MICHAEL J MORRIS · FY2001–2026funded this article
- Project 3: Identifying Targetable Epigenetic and Immuno-Oncologic Vulnerabiliti… · Marc Ladanyi, SAMUEL SINGER · FY2018–2025funded this article
- Biospecimen Repository Core · Hikmat Al-Ahmadie, David B. Solit · FY2018–2024funded this article
- Role of ETS factors in specifying prostate luminal cell identity and androgen r… · CHARLES L. SAWYERS · FY2015–2025funded this article
- Understanding the role of an aberrant hepatic nuclear transcription circuit in… · Yu Chen · FY2017–2021funded this article
The best connected are shown.
Awards that paid to create this data
Credited on the dataset's own marker paper.
| Award | Project | Evidence |
|---|---|---|
| P30CA016672 P30FY2019–2025$163.9M | Cancer Center Support Grant | API |
| P50CA098258 P50FY2003–2020$52.0M | MD Anderson Gynecologic SPORE for Uterine Cancers | API |
| R00CA166729 R00FY2013–2015$705k | Suppression of genomic instability by tuning the DNA damage response at telomeres | API |
| R01CA180006 R01FY2013–2016$1.1M | CANCER SUSCEPTIBILITY VARIANT DISCOVERY IN HIGH THROUGHPUT SEQUENCING DATA | API |
| U24CA126543 U24FY2006–2009$5.1M | The TCGA Cancer Genome Characterization Center at MSKCC | API |
| U24CA143799 U24FY2009–2016$4.9M | TCGA Data Analysis Center at Berkeley | API |
| U24CA143835 U24FY2009–2016$10.6M | Center for Systems Analysis of the Cancer Regulome | API |
| U24CA143840 U24FY2009–2016$11.5M | MSKCC Center for Translational Cancer Genomic Analysis | API |
| U24CA143843 U24FY2009–2013$9.5M | The BCM Tumor Genome Characterization Center | API |
| U24CA143845 U24FY2009–2016$16.0M | The Cancer Genome Atlas Data Analysis Center | API |
| U24CA143848 U24FY2009–2016$20.8M | Gene Expression Patterns in Human Tumors Identified Using Transcript Sequencing | API |
| U24CA143858 U24FY2009–2016$8.9M | UCSC-Buck Inst. Genome Data Analysis Center for TCGA Research Network (GDAC) | API |
| U24CA143866 U24FY2009–2015$10.9M | Cancer transcriptome characterization using massively parallel DNA sequencing | API |
| U24CA143867 U24FY2009–2016$17.0M | Genome Characterization Center (GCC) | API |
| U24CA143882 U24FY2009–2016$13.3M | The USC-JHU Cancer Epigenome Characterization Center | API |
| U24CA143883 U24FY2009–2016$10.6M | Integrative Pipeline for Analysis & Translational Application of TCGA Data (GDAC) | API |
| U24CA144025 U24FY2009–2016$14.0M | Harvard Genome Characterization Center | API |
| U24CA180951 U24FY2013–2017$2.9M | Cloud Based Resource for Data Hosting, Visualization and Analysis Using UCSC Canc | API |
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 | Antitumor Assessment | API | |
| P50CA092629 P50FY2001–2026$103.3M | SPORE in Prostate Cancer | API | |
| P50CA217694 P50FY2018–2025$33.2M | Project 3: Identifying Targetable Epigenetic and Immuno-Oncologic Vulnerabilities in Synovial Sarcoma | API | |
| P50CA221745 P50FY2018–2024$23.9M | 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 | |
| R01CA228216 R01FY2018–2022$2.5M | Epigenetic mechanisms of transcriptional activation of a novel oncogenic ALK variant in cancer | API | |
| R01CA265026 R01FY2022–2025$3.0M | Defining the role of histone H3K4 mono-methyltransferase dysfunction in urothelial carcinoma | API | |
| U01CA224044 U01FY2019–2023$5.1M | Patient-Derived Models of Prostate Cancer for Personalized Medicine | API | |
| U54CA224079 U54FY2017–2021$13.6M | Project 2: Reversing resistance caused by lineage plasticity through epigenetic therapy | 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 | Antitumor Assessment | API |
| P50CA092629 P50FY2001–2026$103.3M | SPORE in Prostate Cancer | API |
| P50CA217694 P50FY2018–2025$33.2M | Project 3: Identifying Targetable Epigenetic and Immuno-Oncologic Vulnerabilities in Synovial Sarcoma | API |
| P50CA221745 P50FY2018–2024$23.9M | Biospecimen Repository Core | API |
| U01CA224044 U01FY2019–2023$5.1M | Patient-Derived Models of Prostate Cancer for Personalized Medicine | 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.