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Driven by input from its the scientific community, the Cancer Imaging Program (CIP) finds itself stands at the junction crossroad of two powerful scientific requisites; : the need for cross-disciplinary research and the increase of inter-institutional data - sharing. The Cancer Imaging Archive (TCIA) offers the opportunity for development of an emerging is building a research community focused on connecting cancer phenotypes to genotypes by making available providing clinical images matched to subjects from the The Cancer Genome Atlas (TCGA). |
TCGA began in 2006 as a three-year pilot jointly sponsored by the National Cancer Institute (NCI) and National Human Genome Research Institute (NHGRI). The TCGA pilot project (focused initially on glioblastoma, ovary, and lung cancers) confirmed that an atlas of genomic changes could be constructed for specific cancer types. It also showed that a national network networks of research and technology teams working on related projects could pool their efforts, create an economy of scale, and develop an infrastructure for making the data publicly accessible. Importantly, it proved that making the data freely available would enable Freely available data enables researchers across the world to make and validate important discoveries. The success of that pilot led encouraged the National Institutes of Health to commit major new resources to TCGA (NIH) to invest in TCGA’s efforts to collect and characterize more than 20 additional tumor types . All of the data is made and make findings freely accessible for researchers to download via their TCGA Data Portal.
As an opportunity to leverage that this wealth of new biomedical knowledge, CIP committed substantial effort to gather and place the used its agreements with TCGA Tissue Site Source institutions to collect clinical diagnostic images for TCIA that match the genomically analyzed TCGA tissue cases in to TCIA. CIP has developed agreements with many of the TCGA Tissue Site Source institutions to collect many of the 20-plus cancer types that TCGA has analyzedcharacterized.
Ongoing Research Efforts
Imaging Source Site (ISS) Groups are being
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populated and governed by participants from institutions that have provided imaging data to the archive for a given cancer type. Modeled after TCGA analysis groups,
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ISS
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groups are given the opportunity to publish a marker paper for a given cancer
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type per the guidelines in the table above. This opportunity will generate increased participation in
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building
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these multi-institutional data sets
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as they become an open community resource. Current ISS groups include:
Group Name | Tumor Type |
| TCGA Bladder Phenotype Research Group | Urothelial Bladder Carcinoma (BLCA) |
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TCGA Collections Publication Guidelines
TCIA publication guidelines are , derived from the policy outlined by the The Cancer Genome Atlas. These TCGA, must be followed followed in addition to the publication policy of to the TCGA Data Portal publication policy: http://cancergenome.nih.gov/abouttcga/policies/publicationguidelines.
There are no limitations on publications containing analyses using any TCGA-linked imaging data set sets, if the data set meets one of the following three freedom-to-publish criteria:
- A marker paper has been published on that tumor type; or
- It has been 12 months after since the authors’ DICOM data for 100 cases of a given tumor type have had their DICOM data been published on TCIA; or
- The author receives specific approval from the TCGA Image Source Site (ISS) Groups ISS groups representing any relevant tumor types.
Specifically, the The specific status of each tumor data set is available below. If you have questions, do on the Data Usage Policies and Restrictions page. Do not hesitate to contact cancerimagingarchive@mail.nih.gov.
Tumor Type | ||
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| TCGA-BLCA | No restrictions; all data available without limitations | Projects have not reached 100 imaging cases; Please check with cancerimagingarchive@mail.nih.gov prior to any publication |
No restrictions; all data available without limitations | No restrictions; image data available without limitations | |
No restrictions; all data available without limitations | No restrictions; image data available without limitations | |
| TCGA-HNSC | No restrictions; all data available without limitations | Projects have not reached 100 imaging cases; Please check with cancerimagingarchive@mail.nih.gov prior to any publication |
| TCGA-KICH | No restrictions; all data available without limitations | Projects have not reached 100 imaging cases; Please check with cancerimagingarchive@mail.nih.gov prior to any publication |
No restrictions; all data available without limitations | No restrictions; image data available without limitations | |
| TCGA-KIRP | Publication limitations in place until 6/20/2014. Please check with tcga@mail.nih.gov prior to any publication | Projects have not reached 100 imaging cases; Please check with cancerimagingarchive@mail.nih.gov prior to any publication |
No restrictions; all data available without limitations | Projects have not reached 100 imaging cases; Please check with cancerimagingarchive@mail.nih.gov prior to any publication | |
| TCGA-LIHC | Publication limitations in place until 7/31/2014. Please check with tcga@mail.nih.gov prior to any publication | Projects have not reached 100 imaging cases; Please check with cancerimagingarchive@mail.nih.gov prior to any publication |
No restrictions; all data available without limitations | Projects have not reached 100 imaging cases; Please check with cancerimagingarchive@mail.nih.gov prior to any publication | |
| TCGA-LUSC | No restrictions; all data available without limitations | Projects have not reached 100 imaging cases; Please check with cancerimagingarchive@mail.nih.gov prior to any publication |
No restrictions; all data available without limitations | Projects have not reached 100 imaging cases; Please check with cancerimagingarchive@mail.nih.gov prior to any publication | |
No restrictions; all data available without limitations | Projects have not reached 100 imaging cases; Please check with cancerimagingarchive@mail.nih.gov prior to any publication |
Ongoing Research Efforts
CIP continues to encourage ad hoc multi-institutional research teams for analysis of these data sets as they are collected. Efforts have already begun or are being initiated for the following TCGA tissue types. Points of contact for collaborating with the existing research groups can be found on their respective pages.
Group Name | Tumor Type |
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| TCGA Head-Neck Phenotype Research Group | Head-neck squamous cell carcinoma (HNSC) |
References
contact help@cancerimagingarchive.net with any questions.
References
The following links contain publications from the main TCGA project as well as their posted publication guidelines:
Included below are some posters and presentations which help summarize the CIP TCGA Radiology Initiative and its supporting components such as TCIA.
- TCIA Workshop at 2014 TCGA Symposium - Presented at TCGA Scientific Symposium, May 12, 2014 in Washington, DC.
- Imaging and Genomics: Is There a Synergy? - Published in August 2012 in Radiology 2012 ,264,329-331:329–31.
- A Scalable Methodology for Correlating Clinical Imaging Features with TCGA Data - Presented at TCGA Network Symposium, November 17-1817–18, 2011 Washington, DC.
- The Cancer Imaging Archive: a Repository of Advanced Imaging Information Correlated with TCGA Samples - Presented at TCGA Network Symposium, November 17-1817–18, 2011 Washington, DC
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