Overview
For more than 10 years, researchers have relied on CRDC data and its resources to conduct and publish peer-reviewed work. Over that time, CRDC has tracked more than 30,000 data citations, along with hundreds of publications, as searched through PubMed.
The CRDC team tracks usage metrics, citations, and peer reviewed papers that:
- Include original datasets shared through the CRDC
- Re-use CRDC data for comparative analysis and/or to test computation methods
- Note the use of publicly-available analytical tools accessible through CRDC Data Commons and/or Cloud Resources
Spotlight
Spotlight
AACR Cancer Research Series
A four-part manuscript series published online in March 2024, in Cancer Research, one of the flagship journals of the American Association for Cancer Research (AACR), highlights the CRDC’s accomplishments from the past 10 years. The series lead authors and editors include: Anthony (Tony) Kerlavage, Jill S. Barnholtz-Sloan, Tanja Davidsen, Erika Kim, David Pot, Arthur Brady, Erin Beck, Heather Creasy, and Zhining Wang.
Featured Publications
Enrichment of lung cancer computed tomography collections with AI-derived annotations —Scientific Data
A team of researchers affiliated with the CRDC Imaging Data Commons (IDC) has demonstrated the use of AI in generating annotations for imaging data sets that are now better situated to serve as reference data sets for users across the cancer research community. The paper was published in early January 2024, in Nature’s open access journal Scientific Data. The research team thoroughly demonstrates the process of working with two datasets that are now annotated and available through the IDC. The paper describes their methodology and results in detail, and includes links to tutorials for working with these datasets and the tools developed to create these annotations. Link to the dataset.
Integrative multi-omic cancer profiling reveals DNA methylation patterns associated with therapeutic vulnerability and cell-of-origin—Cancer Cell
A working group led by Li Ding, PhD, built a pan-cancer catalog of DNA methylation events associated with RNA transcript and protein changes that they mined to uncover epigenetic alterations that have broad effects on the tumor microenvironment, can inform tumor lineage, heterogeneity, and other phenotypes, and reveal potential new therapeutic avenues. The paper, published in Cancer Cell, describes novel methylation subtypes with distinct RNA and protein signatures and identifies FGFR2 hypomethylation and STAT5A hypermethylation as critical for further investigation. Link to the dataset.
cGAST-STING pathway expression correlates with genomic instability and immune cell infiltration in breast cancer —NPJ Breast Cancer
A research consortium based in the Netherlands investigated the clinical significance of inflammatory signaling and its associations with markers of replication stress, metrics of genome instability, and immune cell infiltration level in breast cancer samples, using TCGA and METABRIC cohorts for comparison. With this work published in npj Breast Cancer, the researchers conclude that the cGAS-STING pathway, notably in triple negative breast cancers, may support identification of tumors that respond favorably to genotoxic chemotherapeutics or immunotherapy.
Gene expression data and clinical information from TCGA and METABRIC are downloaded from the cBioportal portal and UCSC Xena on August 10th, 2022. The GEO datasets can be downloaded through the accession number GSE173839. The data analyzed in the current study are available from the corresponding author upon request.
Select Publications
Explore the collection of peer-reviewed publications that showcase the breadth and depth of research using CRDC data and resources. This includes publications from across the CRDC Data Commons and Cloud Resources that illustrate how CRDC data, tools, and resources are used by the research community.
Select Publications Find a list of peer-reviewed publications.
How to Cite CRDC
NCI Cancer Research Data Commons (CRDC) should be cited with the URL "datacommons.cancer.gov" and the following paper:
Izumi V. Hinkson, Tanja M. Davidsen, Juli D. Klemm, Ishwar Chandramouliswaran, Anthony R. Kerlavage, Warren A. Kibbe. “A Comprehensive Infrastructure for Big Data in Cancer Research: Accelerating Cancer Research and Precision Medicine.” Front Cell Dev Biol. 2017; 5: 83. Published 2017 Sep 21. doi: 10.3389/fcell.2017.00083
When citing individual data commons or CRDC cloud resources, please refer to the attribution policies of those CRDC components, available on their microsites and portals.