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  • The Clinical Proteomic Tumor Analysis Consortium Clear Cell Renal Cell Carcinoma Collection (CPTAC-CCRCC)

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locationhttps://doi.org/10.7937/K9/TCIA.2018.OBLAMN27

Summary

Excerpt

This collection contains subjects from the National Cancer Institute’s Clinical Proteomic Tumor Analysis Consortium Clear Cell Renal Cell Carcinoma (CPTAC-CCRCC) cohort. CPTAC is a national effort to accelerate the understanding of the molecular basis of cancer through the application of large-scale proteome and genome analysis, or proteogenomics. Radiology and pathology images from CPTAC patients are being collected and made publicly available by The Cancer Imaging Archive to enable researchers to investigate cancer phenotypes which may correlate to corresponding proteomic, genomic and clinical data.

Imaging from each cancer type will be contained in its own TCIA Collection, with the collection name "CPTAC-cancertype".  Radiology imaging is collected from standard of care imaging performed on patients immediately before the pathological diagnosis, and from follow-up scans where available.  For this reason the radiology image data sets are heterogeneous in terms of scanner modalities, manufacturers and acquisition protocols. Pathology imaging is collected as part of the CPTAC qualification workflow.  


All CPTAC cohorts are released as Discovery or Confirmatoryas either a single combined cohort, or split into Discovery and Confirmatory where applicable.  There are two main types of proteomic studies: discovery proteomics and targeted proteomics. The term "discovery proteomics" is in reference to "untargeted" identification and quantification of a maximal number of proteins in a biological or clinical sample. The term “targeted proteomics” refers to quantitative measurements on a defined subset of total proteins in a biological or clinical sample, often following the completion of discovery proteomics studies to confirm interesting targets selected. Commonly used proteomic technologies and platforms are different types of mass spectrometry and protein microarrays depending on the needs, throughput and sample input requirement of an analysis, with further development on nanotechnologies and automation in the pipeline in order to improve the detection of low abundance proteins, increase throughput, and selectively reach a target protein in vivo.  Once the protein targets of interest are identified, high-throughput targeted assays are developed for confirmatory studies: tests to affirm that the initial tests were accurate. A summary of CPTAC imaging efforts can be found on the CPTAC Imaging Proteomics page. 

CPTAC Imaging Special Interest Group

You can join the CPTAC Imaging Special Interest Group to be notified of webinars & data releases, collaborate on common data wrangling tasks and seek out partners to explore research hypotheses!  Artifacts from previous webinars such as slide decks and video recordings can be found on the CPTAC SIG Webinars page. 

HTML
<iframe src="https://player.vimeo.com/video/390755227" width="640" height="400" frameborder="0" allow="autoplay; fullscreen" allowfullscreen></iframe>

On February 4, 2020 Dr. David Clarke presented the consortium's proteogenomic analyses of the CPTAC-CCRCC discovery cohort.  This deep dive into the CCRCC genomic and proteomic datasets will help researchers better understand how these can be correlated with features derived from the imaging data. (Download the slides)

Acknowledgements

We would like to acknowledge the individuals and institutions that have provided data for this collection:

  • Beaumont Health System, Royal Oak, MI - Special thanks to George D. Wilson, PhD from the Department of Radiation Oncology Research, Barbara Pruetz of the Biobank, Debra Kapczynski, MHSA, CIIP, RT(R)(CT) and Rachel Deyer from the Department of Diagnostic Radiology.
  • International Institute for Molecular Oncology, Poznań, Poland - Special thanks to Maciej Wiznerowicz MD, PhD and Jan Lubiński MD PhDAndrzej Antczak MD, PhD, and Gabriel Bromiński MD, from Józef Struś City Hospital and Polyclinic in Poznań, Poland.
  • St. Joseph's Hospital and Medical Center, Phoenix, AZ - Special thanks to Jennifer Eschbacher, MD from the Department of Neuropathology, Catherine Seiler, PhDRosy Singh and Beth Hermes from the Biobank Core Facility, and Victor Sisneros, RT(R)(CT), CPSA.
  • Boston Medical Center, Boston, MA - Special thanks to Chris D. Andry M.Phil, PhD from the Department of Pathology and Laboratory Medicine,  Margaret Lavoye, Artem Kaliaev, Wilson Chavez, Stephan Anderson, Jorge Soto, and Mitchell Horn from the Department of Radiology, Elizabeth Duffy, MA and Cheryl Spencer, MA of the Biobank.
  • BioPartners, CA - Special thanks to Alexander Gasparian, PhD. from the Department of Drug Discovery and Biomedical Sciences, University of South Carolina College of Pharmacy, Kakhaber Zaalishvili, MD Medical Advisor and Staff Pathologist at BioPartners, LLC, Milla Gorodnia, President of BioPartners, Inc., Victoria Christensen, Global Business Development/Project Coordination Manager, Oksana Havryliuk, MD. Chief of Research department of radiodiagnostics of NCI (Ukraine), Marianna Gredil’, Director of BioPartners, LLC, and Anna Legenka Chief of the Data Department at BioPartners, LLC 
  • University of Pittsburgh/UPMC, Pittsburgh, PA - Special thanks to Scott Beasley (MD, FACR), Michele Keller (MHA), and Rose Jarosz in the Department of Radiology; Rajiv Dhir (MBBS, MBA) and Tony Green (HT (ASCP), AS) in the Department of Pathology (PBC).


Clinical Data
Localtab Group



Localtab
activetrue
titleData Access

Data Access

Data TypeDownload all or Query/FilterLicense
Images (DICOM,
54
52.7 GB)

     

Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/33948213/TCIA-CPTAC-CCRCC
-batch8-Sep2019
_v11_20230818.tcia?
version=2&amp;modificationDate=1569606470298&amp;
api=v2
     



Tcia button generator
labelSearch
urlhttps://www.cancerimagingarchive.net/nbia-search/?CollectionCriteria=CPTAC-CCRCC



(Download requires the NBIA Data Retriever)

Tcia cc by 3

Tissue Slide Images (SVS, 190 GB)


Tcia button generator
urlhttps://faspex.cancerimagingarchive.net/aspera/faspex
/external_deliveries/226?passcode=9cb811d096453ac5468a49352b018ccec8526376
?context=eyJyZXNvdXJjZSI6InBhY2thZ2VzIiwidHlwZSI6ImV4dGVybmFsX2Rvd25sb2FkX3BhY2thZ2UiLCJpZCI6IjU4NCIsInBhc3Njb2RlIjoiMTczZGYwYjBmMTI1Y2IxOTY0MmU2NmIyOGIzYzdlMjkwMmJjNWU1MiIsInBhY2thZ2VfaWQiOiI1ODQiLCJlbWFpbCI6ImhlbHBAY2FuY2VyaW1hZ2luZ2FyY2hpdmUubmV0In0=



Tcia button generator
labelSearch
urlhttps://pathdb.cancerimagingarchive.net/
datascope
eaglescope/
cptac
dist/
home/
?
filter={%22Tumor%22:%5B%22CCRCC%22%5D,%22Image_Available%22:%5B%22Yes%22%5D}

Discovery Study (see Detailed Description tab for more info)

configurl=/system/files/collectionmetadata/202208/cptac_metadata_page_0.json&filterState=[{"id":"Tumor","title":"Tumor","field":"Tumor","operation":"eq","values":"CCRCC"}]



(Requires the IBM-Aspera-Connect plugin

Tcia cc by 3

  • Proteomic Data Commons (Proteomic & Clinical Data)
  • Genomic Data Commons (Genomic & Clinical Data)
  • Pathology 
  • Radiology

    Click the Versions tab for more info about data releases.

    Third Party Analyses

    Nci_crdc additional resources

    Third Party Analyses of this Dataset

    TCIA encourages the community to publish your analyses of our datasets. Below is a list of such third party analyses published using this Collection:




    Localtab
    titleDetailed
    Localtab
    titleDetailed Description

    Detailed Description


    Radiology Image Statistics

    Pathology Image Statistics

    Modalities

    CT, MR, CR, SR, DX

    Pathology

    Number of Participants

    6365

    222

    Number of Studies

    8285

    N/A

    Number of Series

    670727

    N/A

    Number of Images

    9499,500098

    783
    Images Size (GB)5452.7190


    Accessing

    the Proteomic & Genomic Clinical Data

    CPTAC publication cohorts

    All CPTAC cohorts are released as either a single combined cohort, or split into Discovery and Confirmatory where applicableIn the case of CPTAC-CCRCC there was a "Discovery Cohort" release.  Images associated with these cases can be downloaded using the following links:

    Accessing the Proteomic & Genomic Clinical Data

    To access/download the clinical data on the Proteomic Data Commons (PDC) and Genomic Data Commons (GDC)once you have identified the data of your interest, move to the 'Clinical' tab on the browse page. Select the checkbox to select a specific row, all rows on the page or all pages and click the export clinical manifest button in CSV or TSV format on the GDC, or TSV or JSON format on the PDC.

    To access/download the clinical data on the Proteomic Data Commons (PDC) and Genomic Data Commons (GDC)once you have identified the data of your interest, move to the 'Clinical' tab on the browse page. Select the checkbox to select a specific row, all rows on the page or all pages and click the export clinical manifest button in CSV or TSV format on the GDC, or TSV or JSON format on the PDC.

    A Note about TCIA and CPTAC Subject Identifiers and Dates

    Subject Identifiers: 

    A subject with radiology and pathology images stored in TCIA is identified with a de-identified project Patient ID that is identical to the Patient ID of the same subject with clinical, proteomic, and/or genomic data stored in other CPTAC databases and web sites.

    Dates: 

    The radiology imaging data is in DICOM format. To provide temporal context information aligned with events in the clinical data set for each patient, TCIA has inserted information in DICOM tag (0012,0050) Clinical Trial Time Point ID. This DICOM tag contains the number of days from the date the patient was initially diagnosed pathologically with the disease to the date of the scan. E.g. a scan acquired 3 days before the diagnosis would contain the value -3. A follow up scan acquired 90 days after diagnosis would contain the value 90.

    The DICOM date tags (i.e. birth dates, imaging study dates, etc.) are modified per TCIA's standard process which offsets them by a random number of days. The offset is a number of days between 3 and 10 years prior to the real date that is consistent for each TCIA image-submitting site and collection, but that varies among sites and among collections from the same site. Thus, the number of days between a subject’s longitudinal imaging studies are accurately preserved when more than one study has been archived while still meeting HIPAA requirements.


    Localtab
    titleCitations & Data Usage Policy

    Citations & Data Usage Policy 

    Users of this data must abide by the Creative Commons Attribution 3.0 Unported License under which it has been published. CPTAC proteomic and genomic data use must also comply with the CPTAC Data Use Agreement. Questions may be directed to help@cancerimagingarchive.net. Attribution should include references to the following citations:

    Tcia limited license policy

    Infoinfo
    titleData Citation

    National Cancer Institute Clinical Proteomic Tumor Analysis Consortium (CPTAC). (2018). Radiology Data from the The Clinical Proteomic Tumor Analysis Consortium Clear Cell Renal Cell Carcinoma [Collection (CPTAC-CCRCC] collection ) (Version 11) [Data set]. The Cancer Imaging Archive.https://doi.org/10.7937/k9K9/tciaTCIA.2018.oblamn27OBLAMN27


    Info
    titleAcknowledgement

    The CPTAC program requests that publications using data from this program include the following statement: “Data used in this publication were generated by the National Cancer Institute Clinical Proteomic Tumor Analysis Consortium (CPTAC).”

    Info
    titleTCIA Citation

    Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. (paper)

    Other Publications Using This Data

    TCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk.

    Consortium (CPTAC).”


    Info
    titleTCIA Citation

    Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Pringle, M., Tarbox, L., & Prior, F. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045–1057). Springer Science and Business Media LLC. https://doi.org/10.1007/s10278-013-9622-7

    Other Publications Using This Data

    TCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact TCIA's Helpdesk.




    Changed to new Aspera download link for histopathology slides.

    Version 8: Updated 2019/09/30

    Localtab
    titleVersions

    Version 11 (Current): Updated 2023/08/18

    Data TypeDownload all or Query/Filter
    Images (DICOM, 52.7 GB)

         

    Tcia button generator
    urlhttps://wiki.cancerimagingarchive.net/download/attachments/33948213/TCIA-CPTAC-CCRCC_v11_20230818.tcia?api=v2



    Tcia button generator
    labelSearch
    urlhttps://www.cancerimagingarchive.net/nbia-search/?CollectionCriteria=CPTAC-CCRCC



    (Download requires the NBIA Data Retriever)

    Tissue Slide Images (SVS, 190 GB)


    Tcia button generator
    urlhttps://faspex.cancerimagingarchive.net/aspera/faspex?context=eyJyZXNvdXJjZSI6InBhY2thZ2VzIiwidHlwZSI6ImV4dGVybmFsX2Rvd25sb2FkX3BhY2thZ2UiLCJpZCI6IjU4NCIsInBhc3Njb2RlIjoiMTczZGYwYjBmMTI1Y2IxOTY0MmU2NmIyOGIzYzdlMjkwMmJjNWU1MiIsInBhY2thZ2VfaWQiOiI1ODQiLCJlbWFpbCI6ImhlbHBAY2FuY2VyaW1hZ2luZ2FyY2hpdmUubmV0In0=



    Tcia button generator
    labelSearch
    urlhttps://pathdb.cancerimagingarchive.net/eaglescope/dist/?configurl=/system/files/collectionmetadata/202208/cptac_metadata_page_0.json&filterState=[{"id":"Tumor","title":"Tumor","field":"Tumor","operation":"eq","values":"CCRCC"}]


    (Download and apply the IBM-Aspera-Connect plugin to your browser to retrieve this faspex package) 

    Added DICOM imaging.

    Version 10: Updated 2023/02/24

    Data TypeDownload all or Query/Filter
    Images (DICOM,  54.7 GB)


    Tcia button generator
    urlhttps://wiki.cancerimagingarchive.net/download/attachments/33948213/TCIA-CPTAC-CCRCC_v10_20230224.tcia?api=v2



    (Requires NBIA Data Retriever)

    Tissue Slide Images (SVS, 190 GB)


    Tcia button generator
    urlhttps://faspex.cancerimagingarchive.net/aspera/faspex?context=eyJyZXNvdXJjZSI6InBhY2thZ2VzIiwidHlwZSI6ImV4dGVybmFsX2Rvd25sb2FkX3BhY2thZ2UiLCJpZCI6IjcwMiIsInBhc3Njb2RlIjoiYTZhM2E5OTQ1MGY0OWY1ZmY0NzNiZjM3MjEyZDY1ZGMxY2EyNDYwZiIsInBhY2thZ2VfaWQiOiI3MDIiLCJlbWFpbCI6ImhlbHBAY2FuY2VyaW1hZ2luZ2FyY2hpdmUubmV0In0=



    Tcia button generator
    labelSearch
    urlhttps://cancerimagingarchive.net/datascope/cptac/home/?filter={%22Tumor%22:%5B%22CCRCC%22%5D,%22Image_Available%22:%5B%22Yes%22%5D}



    Radiology modality data cleanup to remove extraneous scans.

    Version 9: Updated 2020/09/03

    Data TypeDownload all or Query/Filter
    Images (DICOM,  54.7 GB)


    Tcia button generator
    urlhttps://wiki.cancerimagingarchive.net/download/attachments/33948213/TCIA-CPTAC-CCRCC-batch8-Sep2019.tcia?version=2&modificationDate=1569606470298&api=v2


    (Requires NBIA Data Retriever)

    Tissue Slide Images (SVS, 190 GB)


    Tcia button generator
    urlhttps://faspex.cancerimagingarchive.net/aspera/faspex?context=eyJyZXNvdXJjZSI6InBhY2thZ2VzIiwidHlwZSI6ImV4dGVybmFsX2Rvd25sb2FkX3BhY2thZ2UiLCJpZCI6IjcwMiIsInBhc3Njb2RlIjoiYTZhM2E5OTQ1MGY0OWY1ZmY0NzNiZjM3MjEyZDY1ZGMxY2EyNDYwZiIsInBhY2thZ2VfaWQiOiI3MDIiLCJlbWFpbCI6ImhlbHBAY2FuY2VyaW1hZ2luZ2FyY2hpdmUubmV0In0=



    Tcia button generator
    labelSearch
    urlhttps://cancerimagingarchive.net/datascope/cptac/home/?filter={%22Tumor%22:%5B%22CCRCC%22%5D,%22Image_Available%22:%5B%22Yes%22%5D}



    Clinical Data (web)
    Proteomics (web)

    Changed to new Aspera download link for histopathology slides.

    Version 8: Updated 2019/09/30

    Data TypeDownload all or Query/Filter
    Images (DICOM,  54.7 GB)


    Tcia button generator
    urlhttps://wiki.cancerimagingarchive.net/download/attachments/33948213/TCIA-CPTAC-CCRCC-batch8-Sep2019.tcia?version=2&modificationDate=1569606470298&api=v2


    (Requires NBIA Data Retriever)

    Tissue Slide Images (SVS, 190 GB)


    Tcia button generator
    labelSearch
    urlhttps://cancerimagingarchive.net/datascope/cptac/home/?filter={%22Tumor%22:%5B%22CCRCC%22%5D,%22Image_Available%22:%5B%22Yes%22%5D}



    Clinical Data (web)
    Proteomics (web)


    Added new subjects.

    Version 7: Updated 2019/06/30

    Data TypeDownload all or Query/Filter
    Images (DICOM,  35.8 GB)


    Tcia button generator
    urlhttps://wiki.cancerimagingarchive.net/download/attachments/33948213/TCIA-CPTAC-CCRCC-batch7-June2019.tcia?version=1&modificationDate=1561763800296&api=v2


    (Requires NBIA Data Retriever)

    Tissue Slide Images (SVS, 190 GB)


    Tcia button generator
    labelSearch
    urlhttps://cancerimagingarchive.net/datascope/cptac/home/?filter={%22Tumor%22:%5B%22CCRCC%22%5D,%22Image_Available%22:%5B%22Yes%22%5D}



    Clinical Data (web)
    Proteomics (web)

    Added new subjects.

    Version 6: Updated 2019/03/30

    Data TypeDownload all or Query/Filter
    Images (DICOM, 37.1 GB)


    Tcia button generator
    urlhttps://wiki.cancerimagingarchive.net/download/attachments/33948213/TCIA-CPTAC-CCRCC-batch6-Mar2019.tcia?version=1&modificationDate=1554001600428&api=v2


    (Requires NBIA Data Retriever)

    Tissue Slide Images (web)


    Tcia button generator
    labelSearch
    urlhttps://cancerimagingarchive.net/datascope/cptac/home/?filter={%22Tumor%22:%5B%22CCRCC%22%5D,%22Image_Available%22:%5B%22Yes%22%5D}



    Clinical Data (web)
    Proteomics (web)

    Added new subjects

    Version 5: Updated 2019/01/23

    Localtab
    titleVersions
    Version 9 (Current): 2020/09/03

    Data TypeDownload all or Query/Filter

    Images (DICOM,  54.7 GB)
    Tissue Slide Images (SVS, 190 GB)
    Clinical Data (web)
    Proteomics (web)
    Images (DICOM, 19.9 GB)


    Tcia button generator
    urlhttps://wiki.cancerimagingarchive.net/download/attachments/33948213/TCIA-CPTAC-CCRCC-batch4-Oct2018.tcia?version=1&modificationDate=1540929769046&api=v2


    (Requires NBIA Data Retriever)

    Tissue Slide Images (web)


    Tcia button generator
    labelSearch
    urlhttps://cancerimagingarchive.net/datascope/cptac/home/?filter={%22Tumor%22:%5B%22CCRCC%22%5D,%22Image_Available%22:%5B%22Yes%22%5D}



    Clinical Data (web)
    Proteomics
    Data TypeDownload all or Query/Filter
    Images (DICOM,  54.7 GB)
    Tissue Slide Images (SVS, 190 GB)
    (web)
    Clinical
    Proteomics (web)

    Added links to clinical and proteomic data from CPTAC Discovery Study (

    Proteomics)

    Added new subjects.first 110 patients)

    Version

    7

    4: Updated

    2019

    2018/

    06

    10/

    30

    24

    Data TypeDownload all or Query
    /FilterImages (DICOM,  35.8 GB)Image Removed
    /Filter
    Images (DICOM, 19.9 GB)


    Tcia button generator
    urlhttps://wiki.cancerimagingarchive.net/download/attachments/33948213/TCIA-CPTAC-CCRCC-batch4-Oct2018.tcia?version=1&modificationDate=1540929769046&api=v2


    (Requires NBIA Data Retriever

    )Tissue Slide Images (SVS, 190 GB)Clinical Data (web)Proteomics (web)

    Added new subjects.

    Version 6: Updated 2019/03/30

    Data TypeDownload all or Query/FilterImages (DICOM, 37.1 GB)Tissue Slide Images (web)Clinical Data (web)Proteomics (web)

    Added new subjects

    Version 5: Updated 2019/01/23

    .)

    Tissue Slide Images (web)


    Tcia button generator
    labelSearch
    urlhttps://cancerimagingarchive.net/datascope/cptac/home/?filter={%22Tumor%22:%5B%22CCRCC%22%5D,%22Image_Available%22:%5B%22Yes%22%5D}



    Proteomics (web)


    Tcia button generator
    labelSearch
    urlhttps://proteomics.cancer.gov/programs/cptac



    Added new subjects.

    Version 3: Updated 2018/06/30

    Data TypeDownload all or Query
    /FilterImages (DICOM, 19.9 GB)Tissue Slide Images (web)Clinical Data (web)Proteomics (web)

    Added links to clinical and proteomic data from CPTAC Discovery Study (first 110 patients)

    Version 4: Updated 2018/10/24

    /Filter
    Images (DICOM, 13.5 GB)


    Tcia button generator
    urlhttps://wiki.cancerimagingarchive.net/download/attachments/33948213/TCIA_CPTAC-CCRCC-2018-06-30-doiJNLP-4GYLKdwX.tcia?version=1&modificationDate=1534787043304&api=v2


    (Requires NBIA Data Retriever.)

    Tissue Slide Images (web)


    Tcia button generator
    labelSearch
    urlhttps://cancerimagingarchive.net/datascope/cptac/home/?filter={%22Tumor%22:%5B%22CCRCC%22%5D,%22Image_Available%22:%5B%22Yes%22%5D}



    Proteomics (web)


    Tcia button generator
    labelSearch
    urlhttps://proteomics.cancer.gov/programs/cptac
    Data TypeDownload all or Query/FilterImages (DICOM, 19.9 GB)Tissue Slide Images (web)Proteomics (web) Image Removed



    Added new subjects.

    Version

    3

    2: Updated 2018/

    06

    04/

    30

    26

    Data TypeDownload all or Query/Filter
    Images (DICOM
    , 13.5 GB) Image Removed
    , 11.8 GB)


    Tcia button generator
    urlhttps://wiki.cancerimagingarchive.net/download/attachments/33948213/TCIA_CPTAC-CCRCC-B2-doiJNLP-NqBivMdn.tcia?version=1&modificationDate=1534787043950&api=v2


    (Requires NBIA Data Retriever.)

    Tissue Slide Images (web)

    Proteomics (web)

    Added new subjects.

    Version 2: Updated 2018/04/26


    Tcia button generator
    labelSearch
    urlhttps://cancerimagingarchive.net/datascope/cptac/home/?filter={%22Tumor%22:%5B%22CCRCC%22%5D,%22Image_Available%22:%5B%22Yes%22%5D}



    Proteomics (web)


    Tcia button generator
    labelSearch
    urlhttps://proteomics.cancer.gov/programs/cptac



    Data TypeDownload all or Query/FilterImages (DICOM, 11.8 GB)

    Tissue Slide Images (web)

    Proteomics (web)

    Added new subjects.

    Version 1: Updated 2018/01/10

    Data TypeDownload all or Query/Filter
    Images (DICOM, 2.96
    GB) Image Removed
    GB)


    Tcia button generator
    urlhttps://wiki.cancerimagingarchive.net/download/attachments/33948213/CPTAC-CCRCC-B1a-doiJNLP-b7u1LBnu.tcia?version=1&modificationDate=1534787044562&api=v2



    (Requires NBIA Data Retriever.)

    Tissue Slide Images (web)
    Image Removed


    Tcia button generator
    labelSearch
    urlhttps://cancerimagingarchive.net/datascope/cptac/



    Proteomics (web)
    Image Removed


    Tcia button generator
    labelSearch
    urlhttps://proteomics.cancer.gov/data-portal