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-MESO
Mesothelioma
22 awards paid to create it · 7 awards funded work that used it
1. Awards that paid to create this data (6 of 22)
- Algorithms to link signaling pathways with transcriptional programs for precisi… · Hatice Ulku Osmanbeyoglu · FY2016–2017
- Antitumor Assessment · Elisa de Stanchina, FRANCESCA M GANY · FY2019–2026
- Cancer Center Support Grant · PETER W PISTERS, FUNDA MERIC-BERNSTAM · FY2019–2025
- Algorithms to link signaling pathways with transcriptional programs for precisi… · Hatice Ulku Osmanbeyoglu · FY2019–2022
- Prospective Validation of Prognostic and Predictive Molecular tests in Mesothel… · RAPHAEL BUENO · FY2006–2021
- T32 Research Training in Academic Medical Oncology · Michael Davies, Courtney DiNardo · FY1994–2026
The best connected are shown.
2. The dataset
3. Articles that used it (2)
4. Awards those articles were funded by (6 of 7)
- Defining the barriers to immune surveillance in solid tumors · Samarth Hegde · FY2017–2018funded 1 of these 2 articles
- Defining the barriers to immune surveillance in solid tumors · Samarth Hegde · FY2020–2023funded 1 of these 2 articles
- Investigating Macrophage Molecular and Functional Diversity in Tumor Immunity · Brian D Brown, MIRIAM MERAD · FY2021–2025funded 1 of these 2 articles
- Type 2 immunity: a primitive response to epithelial injury that shapes bone mar… · MIRIAM MERAD, Thomas Urban Marron · FY2023–2026funded 1 of these 2 articles
- UT Southwestern Medical Center Simmons Comprehensive Cancer Center · Carlos L Arteaga, Jerry William Shay · FY2010–2026funded 1 of these 2 articles
- ITIM-receptors for cancer treatment · CHENGCHENG ZHANG · FY2020–2024funded 1 of these 2 articles
The best connected are shown.
Awards that paid to create this data
Credited on the dataset's own marker paper.
| Award | Project | Evidence |
|---|---|---|
| K99CA207871 K99FY2016–2017$270k | Algorithms to link signaling pathways with transcriptional programs for precision medicine | API |
| P30CA008748 P30FY2019–2026$224.6M | Antitumor Assessment | API |
| P30CA016672 P30FY2019–2025$163.9M | Cancer Center Support Grant | API |
| R00CA207871 R00FY2019–2022$738k | Algorithms to link signaling pathways with transcriptional programs for precision medicine | API |
| R01CA120528 R01FY2006–2021$4.8M | Prospective Validation of Prognostic and Predictive Molecular tests in Mesothelioma | API |
| T32CA009666 T32FY1994–2026$10.4M | T32 Research Training in Academic Medical Oncology | 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 |
| U24CA199461 U24FY2015–2019$2.7M | Next-Generation Clustered Heat Maps for fluent, interactive exploration of omic data | API |
| U24CA210950 U24FY2016–2020$1.8M | Integrated analysis of protein expression data from the Reverse Phase Protein Array (RPPA) platform | API |
| U24CA210969 U24FY2016–2020$2.5M | Integrative Cancer Epigenomic Data Analysis Center (ICE-DAC) | API |
| U24CA210990 U24FY2016–2020$2.2M | UCSC-Buck Specialized Genomic Data Analysis Center for the Genomic Data Analysis Network | 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 |
|---|---|---|---|
| F99CA223043 F99FY2017–2018$58k | Defining the barriers to immune surveillance in solid tumors | API | |
| K00CA223043 K00FY2020–2023$374k | Defining the barriers to immune surveillance in solid tumors | API | |
| R01CA254104 R01FY2021–2025$3.4M | Investigating Macrophage Molecular and Functional Diversity in Tumor Immunity | API | |
| R01CA277479 R01FY2023–2026$2.6M | Type 2 immunity: a primitive response to epithelial injury that shapes bone marrow and lung myeloid crosstalk | API | |
| P30CA142543 P30FY2010–2026$97.2M | UT Southwestern Medical Center Simmons Comprehensive Cancer Center | API | |
| R01CA248736 R01FY2020–2024$2.9M | ITIM-receptors for cancer treatment | API | |
| R01CA263079 R01FY2022–2026$1.9M | Reprogramming myeloid cells to inhibit cancer development | 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 |
|---|---|---|
| P30CA142543 P30FY2010–2026$97.2M | UT Southwestern Medical Center Simmons Comprehensive Cancer Center | 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.