Summary
The TCGA Glioma Phenotype Research Group is part of the CIP TCGA Radiology Initiative focused on analyzing images from the TCGA-GBM collection. Images which correlate to the Glioblastoma Multiforme 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
Research and Publications
Per TCGA and TCIA Guidelines there are no outstanding limitations from the freedom-to-publish criteria for these data sets:
Data Source |
Status |
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No restrictions; all data available without limitations |
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No restrictions; image data available without limitations |
We are currently hosting open t-cons for discussion of TCGA glioma based research projects (TCGA-GBM) on Wednesdays at 3pm Eastern. Please contact us at cancerimagingarchive@mail.nih.gov if you would like to join the calls or our mailing list to be otherwise kept in the loop on these topics.
TCGA-GBM 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. Current TCGA-GBM 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
Upcoming Events
- 03/13 - Dr. David Gutman will present on 3-D based quantitative analysis of brain tumors, covering his work in segmenting both T1 Post-GD lesions as well as the Flair envelope, and development of a computational pipeline to both register and extract imaging features from the MRI images included in the TCGA GBM data set.
- 03/20 - Dr. Dan Bratt will present an introduction to large scale analysis of the TCGA lower grade gliomas and a discussion of preliminary data coming from these tumors.
- 04/10 - RSNA 2013 Abstract deadline is 12pm CST
- 05/18 - ASNR meeting begins in San Diego (multiple abstracts from group members were accepted to this meeting)
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 |
Supporting Materials |
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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. |
http://www.ncbi.nlm.nih.gov/pubmed/23238158]) |
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Zinn PO, Sathyan P, Mahajan B, Bruyere J, Hegi M, et al. (2012) |
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Zinn PO, Majadan B, Sathyan P, Singh SK, Majumder S, et al. 2011 |
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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:
RSNA 2012 (Nov 25-Nov 30, 2012, Chicago, IL)
Presentations
Title |
Time and Location |
Supporting Materials |
---|---|---|
Predicting Genomic Features of Glioblastomas by Quantitative Analysis of Diffusion-weighted and Diffusion-Tensor Imaging (VSNR21-10) |
Time: Mon, Nov 26, 2012, 11:00-11:10AM |
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A Novel MRI-based Prognostic Classification Identifies Distinct Molecular Subgroups in GBM (SSG12-04) |
Time: Tue, Nov 27, 2012, 11:00-11:10AM |
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The NIH/NCI Cancer Imaging Archive (TCIA): A Comprehensive Source of DICOM Imaging Data for Research – Hands-on (ICIA41) |
Time: Wed, Nov 28, 2012, 10:30-12:00PM |
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Educational Exhibits
Title |
Time and Location |
Supporting Materials |
---|---|---|
The Cancer Genome Atlas (TCGA) Radiology Initiative for Image Genomic Mapping in Glioblastoma Multiforme: The TCGA Glioma Phenotype Research Group |
LL-INE2519 |
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ASNR 2012 (April 21-26, 2012, New York, NY)
Presentations
Title |
Time and Location |
Supporting Materials |
---|---|---|
Imaging Genomic Mapping in Glioblastoma Multiforme: A Novel Quantitative Merge between Imaging and Genomics. The Creation of a Signature for Tumor Necrosis Using Image Genomic Analysis in 12, 764 genes and 555 microRNAs |
Mon, Apr 23, 3:08 - 3:16 PM: Grand Ballroom Suite, Session 15a - Adult Brain: Neoplasms I |
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Quantitative Histogram Analysis of Diffusion and Diffusion Tensor Imaging of Glioblastomas for the Prediction of Clinical Outcome: A TCGA Glioma Phenotype Research Group Project |
Mon, Apr 23, 3:40 - 3:48 PM: Grand Ballroom Suite, Session 15a - Adult Brain: Neoplasms I |
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Survival Prediction in Glioblastoma: Role of Tumor Blood Volume versus Molecular Subclassification Using Genomic Mapping -- A TCGA Glioma Phenotype Research Group Project |
Tue, Apr 24, 3:00 - 3:08 PM: Grand Ballroom Suite, Session 34a - Adult Brain Neoplasms III |
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Associations between Genomic Features and Quantitative Histogram Analysis of Diffusion and Diffusion Tensor Imaging of Glioblastomas: A TCGA Glioma Phenotype Research Group Project |
Tue, Apr 24, 3:32 - 3:40 PM: Grand Ballroom Suite, Session 34a - Adult Brain Neoplasms III. |
Educational Exhibits
Title |
Time and Location |
Supporting Materials |
---|---|---|
Genomic Imaging: Creation of a Uniformed Terminology to Describe the Morphologic MR Imaging Features of Gliomas to Augment Clinical Research in the Genomics of Cancer: A TCGA Glioma Phenotype Research Group Project |
Mon, Apr 23, 6:30 AM - 9:00 PM: Rhinelander, Session eEdE1 - Adult Brain (Electronic Education Exhibit) |
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Genomic Imaging: Gliomas and Perfusion Imaging: a TCGA Glioma Phenotype Research Group Project |
Mon, Apr 23, 6:30 AM - 9:00 PM: Rhinelander, Session eEdE1 - Adult Brain (Electronic Education Exhibit) |
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Imaging Genomics: Correlation of Invasive Genomic Composition and Patient Survival Using Qualitative and Quantitative MR Imaging Parameters |
Mon, Apr 23, 6:30 AM - 9:00 PM: Rhinelander, Session eEdE1 - Adult Brain (Electronic Education Exhibit) |
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Methodology for Imaging Genomics of Gliomas |
Mon, Apr 23, 6:30 AM - 9:00 PM: Rhinelander, Session eEdE1 - Adult Brain (Electronic Education Exhibit) |
Posters
Title |
Time and Location |
Supporting Materials |
---|---|---|
Man vs Machine - Validation of the Qualitative Imaging Feature Set VASARI Using Volumetric Analysis by 3 D Slicer of the TCGA GBM Dataset: A TCGA Glioma Phenotype Research Group Project |
Monday, Apr 23, 2012, 6:30 AM - 3:00 PM: Americas Hall II, Session P1 - Adult Brain (Printed Poster) |
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Imaging Genomic Mapping of Edema/Cellular Invasion MR Imaging-Phenotypes in Glioblastoma Multiforme |
Monday, Apr 23, 2012, 6:30 AM - 3:00 PM: Americas Hall II, Session eP1 - Adult Brain (Electronic Poster) |
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Introduction into Imaging Genomic Mapping in Brain Tumors |
Monday, Apr 23, 2012, 6:30 AM - 3:00 PM: Americas Hall II, Session eP1 - Adult Brain (Electronic Poster) |
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Radiogenogram: MR Imaging as a Screening Tool for Uncovering Novel Genomic Drug Targets |
Monday, Apr 23, 2012, 6:30 AM - 3:00 PM: Americas Hall II, Session eP1 - Adult Brain (Electronic Poster) |
RSNA 2011 (Nov 27-Dec 2, 2011, Chicago, IL)
Title |
Presentation Time (CST) and Location |
Supporting Materials |
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A Coordinated Method for Clinical Trials Research: Multireader Assessment of MR Imaging Features of Human Gliomas |
Tue Nov 29 2011 9:25AM - 9:35AM ROOM E451B |
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Computer-aided Visual Image Analysis of Glioblastomas and Genomic Features |
Sun Nov 27 2011 12:30PM - 1:00PM ROOM Lakeside Learning Center (poster) |
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A Novel Statistical Method for Lossless Compression of Diagnostic Imaging Features |
Wed Nov 30 2011 12:15PM - 12:45PM ROOM Lakeside Learning Center |
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Prediction of Glioblastoma Multiforme (GBM) Time to Recurrence Using MRI Image Features and Gene Expression |
Thu Dec 01 2011 11:50AM - 12:00PM ROOM N229 |
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Radiogenomic Mapping in GBM: A Novel Quantitative Merge between Imaging and Genomics - The Creation of a Signature for Tumor Necrosis Using Image Genomic Analysis in 12, 764 genes and 555 microRNAs |
Tue Nov 29 2011 11:00 AM - 11:10 AM ROOM E451B |
SNO 2011 (Nov 17-20, 2011, Orange County, CA)
Title |
Supporting Materials |
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Radiogenomic Mapping in GBM in Patients with High versus Low Edema/Tumor Infiltration using An Image- Genomic Analysis of 12, 764 genes and 555 microRNAs |
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Survival prediction using molecular classification of glioblastomas: Role of tumor blood volume estimation using DSC T2* MR perfusion |
The Cancer Genome Atlas Network Symposium (Nov 17-18, 2011, Washington, DC)
Title |
Supporting Materials |
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Neuroimaging Predictors of Survival, Pathology, and Molecular Profiles in TCGA Glioblastomas |
ASNR 2011 (June 4-9, 2011, Seattle, WA)
Title |
Supporting Materials |
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Relationship between MR Imaging Features, Gene Expression Subtype, and Histopathologic Features of Glioblastomas |
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Associations Between MR Imaging and Genomic Features of Glioblastomas |
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A Methodology for Multi-reader Assessment of MR Imaging Features of Gliomas in Clinical Trials |
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Prediction of Glioblastoma Multiforme (GBM) Patient Survival Using MRI Image Features and Gene Expression |