You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 99 Next »

Summary

 

The TCGA Glioma Phenotype Research Group is part of the CIP TCGA Radiology Initiative focused on analyzing images from the TCGA-GBM and TCGA-LGG collections. Images which correlate to the Glioblastoma Multiforme and Lower Grade Glioma tissue data in the TCGA Data Portal are continuing to be gathered for submission to TCIA.

According to the TCGA page on Glioblastoma Multiforme, researchers have already made the following types of discoveries with this data:

  • Identified a new subtype of GBM that affects younger adults and has an increased survival rate. A subset of GBM tumors had specific chemical changes or 'marks' called methylation of a large group of genes. The methylation of these genes may account for the improved survival of these patients when compared to patients with other subtypes of GBM. These findings could aid in development of new treatment options for these patients.
  • Recognized four distinct molecular subtypes of GBM that respond differently to aggressive therapies. Patients with one subtype survive about 50 percent longer than those with other GBM subtypes. Knowing a tumor's subtype could help match each patient to the most effective therapies. See more information about TCGA brain tumor subtype studies.
  • Identified possible mechanisms that can cause some GBM tumors to become resistant to therapy after treatment with the standard chemotherapy called temozolomide. Treatment with temozolomide can cause gene mutations that help tumor cells become resistant. If GBM tumors return after successful treatment with temozolomide, the new gene mutations make the tumor resistant to further treatment with the drug. This finding could be used to develop new drugs that will not activate this drug resistance mechanism.
  • Pinpointed four gene mutations in GBM tumors that may provide new insights into the biology of this disease.
    • NF1, a gene identified as the cause of neurofibromatosis 1, a rare, inherited disorder characterized by uncontrolled tissue growth along nerves
    • ERBB2 , a gene involved in breast cancer
    • TP53, a gene involved in many types of cancers
    • PIK3R1 , a gene that controls an enzyme that is found in many cancers

Per the TCGA page on Lower Grade Glioma, researchers also hope to make the following types of discoveries:

  • Define the gene expression patterns of adult lower grade gliomas as compared to pediatric cases that have been studied in other programs
  • Determine if there are genomic changes that correlate with malignancy
  • Examine genetic changes that emerge when lower grade glioma becomes to glioblastoma multiforme
  • Identify clinical features that are associated with a specific pattern of genomic changes

Research and Publications

Per TCGA and TCIA Guidelines the following limitations from the freedom-to-publish criteria are in effect for the glioma data sets:

Tumor Type

TCGA-GBM

No restrictions; all data available without limitations

No restrictions; image data available without limitations

TCGA-LGG

Publication limitations in place until 3/11/2014

Projects have not reached 100 imaging cases; Please check with cancerimagingarchive@mail.nih.gov prior to any publication

Please contact us at cancerimagingarchive@mail.nih.gov if you have any questions about these policies.

TCGA-GBM/LGG Marker Paper and Image Source Sites (ISS)

Imaging Source Site (ISS) Groups are 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, these groups are given the opportunity to publish a marker paper for a given cancer type per the aforementioned publication policy. The TCGA Glioma Phenotype Research Group's formation pre-dated current TCIA policies on TCGA related publications and therefore there is no ISS marker paper for TCGA-GBM imaging data. However several publications and numerous conference presentations utilizing this data have been generated by the research group, which are outlined below in the References section. Analysis of TCGA-LGG imaging data is currently underway.  Current TCGA-GBM and TCGA-LGG source sites include:

  • Thomas Jefferson University
  • Henry Ford Hospital
  • University of California, San Francisco
  • MD Anderson Cancer Center
  • Emory University
  • Mayo Clinic
  • CWRU School of Medicine

Please contact cancerimagingarchive@mail.nih.gov if you have scientific questions you would like to direct to the TCGA-GBM/LGG ISS or if you are interested in collaborating with their group.

References

The following links contain publications from the main TCGA project, as well as their posted publication guidelines.

Publications utilizing TCGA-GBM imaging data from TCIA:

Citation

TCIA Shared Lists (Help Using Shared Lists)

Supporting Materials

MR Imaging Predictors of Molecular Profile and Survival: Multi-institutional Study of the TCGA Glioblastoma Data Set.
Gutman DA, Cooper LA, Hwang SN, Holder CA, Gao J, Aurora TD, Dunn WD Jr, Scarpace L, Mikkelsen T, Jain R, Wintermark M, Jilwan M, Raghavan P, Huang E, Clifford RJ, Mongkolwat P, Kleper V, Freymann J, Kirby J, Zinn PO, Moreno C, Jaffe C, Colen R, Rubin DL, Saltz J, Flanders A, Brat DJ.
Radiology. 2013 May;267(2):560-9. doi: 10.1148/radiol.13120118. Epub 2013 Feb 7. (link)

 

 

Genomic Mapping and Survival Prediction in Glioblastoma: Molecular Subclassification Strengthened by Hemodynamic Imaging Biomarkers.
Jain R, Poisson L, Narang J, Gutman D, Scarpace L, Hwang SN, Holder C, Wintermark M, Colen RR, Kirby J, Freymann J, Brat DJ, Jaffe C, Mikkelsen T.
Radiology. 2013 Apr;267(1):212-20. doi: 10.1148/radiol.12120846. Epub 2012 Dec 13. (link)

  • TCGA-GBM DSC T2* MR Perfusion  (contains the raw perfusion image studies)
  • TCGA-GBM DSC T2* nordicICE (contains the post-processed nordiceICE perfusion image studies)
  • A spreadsheet contains scaling factors, rCBV values, and scanner info as well as text files which contain text dumps of DICOM elements for nordicICE perfusion image studies are available at: DSC T2* MR Perfusion Analysis.

A Novel Volume-Age-KPS (VAK) Glioblastoma Classification Identifies a Prognostic Cognate microRNA-Gene Signature.
Zinn PO, Sathyan P, Mahajan B, Bruyere J, Hegi M, et al. (2012)
PLoS ONE 7(8): e41522. doi:10.1371/journal.pone.0041522 (link)

 

 

Radiogenomic Mapping of Edema/Cellular Invasion MRI-Phenotypes in Glioblastoma Multiforme.
Zinn PO, Majadan B, Sathyan P, Singh SK, Majumder S, et al. 2011
PLoS ONE 6(10): e25451. doi:10.1371/journal.pone.0025451 (link)

  • Radiogenomic Mapping of Edema/Cellular Invasion MRI-Phenotypes

 

Note: For more information on how Shared Lists are used to cite and share data please view our TCIA Citation Guidelines .

Conference abstracts utilizing TCGA-GBM imaging data from TCIA:

  • No labels