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-SARC
Sarcoma
23 awards paid to create it · 6 awards funded work that used it
1. Awards that paid to create this data (6 of 23)
- Functional Proteomics by Reverse Phase Protein Array in Cancer · YILING LU · FY2017–2021
- 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
- Center for Systems Analysis of the Cancer Regulome · ILYA SHMULEVICH · FY2009–2016
- MSKCC Center for Translational Cancer Genomic Analysis · Marc Ladanyi, CHRIS SANDER · FY2009–2016
- The BCM Tumor Genome Characterization Center · RICHARD A GIBBS, David Andrew Wheeler · FY2009–2013
The best connected are shown.
2. The dataset
3. Articles that used it (2)
4. Awards those articles were funded by (6)
- Hematologic Malignancies Program · Edward A Stadtmauer, STEPHAN A. GRUPP · FY1985–2026funded 1 of these 2 articles
- The role and regulation of Hippo pathway in sarcomagenesis · Tzipora Sarah Karin eisinger · FY2019–2023funded 1 of these 2 articles
- Molecular Targets for Cancer Detection and Treatment · Mary Y Armanios, Nilofer S. Azad · FY1985–2026funded 1 of these 2 articles
- Computational Core · SEAN X SUN, Sharon Gerecht · FY2016–2020funded 1 of these 2 articles
- PDX Core · JENNIFER E KOBLINSKI, Jose G. Trevino · FY2023–2026funded 1 of these 2 articles
- Targeting Radiation-Induced Myeloid Cells to Promote T cell Immunity in Undiffe… · Anusha Kalbasi · FY2020–2025funded 1 of these 2 articles
Awards that paid to create this data
Credited on the dataset's own marker paper.
| Award | Project | Evidence |
|---|---|---|
| R50CA221675 R50FY2017–2021$726k | Functional Proteomics by Reverse Phase Protein Array in Cancer | 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 |
| U24CA194362 U24FY2015–2019$3.6M | Advanced Development of an Open-source Platform for Web-based Integrative Digital Image Analysis in Cancer | API |
| U24CA199461 U24FY2015–2019$2.7M | Next-Generation Clustered Heat Maps for fluent, interactive exploration of omic data | API |
| U24CA210949 U24FY2016–2020$1.9M | Batch effects in molecular profiling data on cancers: detection, quantitation, interpretation, and correction | API |
| U24CA210950 U24FY2016–2020$1.8M | Integrated analysis of protein expression data from the Reverse Phase Protein Array (RPPA) platform | API |
| U24CA210957 U24FY2016–2020$2.2M | OHSU Center for Specialized Data Analysis as part of the GDAN | API |
| U24CA210969 U24FY2016–2020$2.5M | Integrative Cancer Epigenomic Data Analysis Center (ICE-DAC) | API |
| U24CA210974 U24FY2016–2020$4.2M | Visualization hub for genomics data exploration and translational discovery | API |
| U24CA210990 U24FY2016–2020$2.2M | UCSC-Buck Specialized Genomic Data Analysis Center for the Genomic Data Analysis Network | API |
| U24CA210999 U24FY2016–2020$4.7M | Global Infrastructure for Collaborative High-throughput Cancer Genomics Analysis | API |
Awards that funded work using this data
2 of 10 traced articles report an NCI award.
| Award | Project | Articles it is credited on | Evidence |
|---|---|---|---|
| P30CA016520 P30FY1985–2026$415.6M | Hematologic Malignancies Program | API | |
| R01CA229688 R01FY2019–2023$2.1M | The role and regulation of Hippo pathway in sarcomagenesis | API | |
| T32CA009071 T32FY1985–2026$16.7M | Molecular Targets for Cancer Detection and Treatment | API | |
| U54CA210173 U54FY2016–2020$20.1M | Computational Core | API | |
| U54CA283762 U54FY2023–2026$8.1M | PDX Core | API | |
| K08CA245181 K08FY2020–2025$1.1M | Targeting Radiation-Induced Myeloid Cells to Promote T cell Immunity in Undifferentiated Pleomorphic Sarcoma | 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 |
|---|---|---|
| P30CA016520 P30FY1985–2026$415.6M | Hematologic Malignancies Program | API |
| U54CA210173 U54FY2016–2020$20.1M | Computational Core | API |
| U54CA283762 U54FY2023–2026$8.1M | PDX Core | 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.