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location | https://doi.org/10.7937/K9/TCIA.2014.WIJJJPLM |
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Description
PURPOSE:
To identify the molecular profiles of cell death as defined by MRI necrosis volumes and uncover gender-specific molecular signatures potentially driving oncogenesis and cell death in glioblastoma.
MATERIALS AND METHODS:
This retrospective study was HIPAA compliant, institutionally review board approved and informed consent was waived. We identified the molecular profiles of 99 patients (female 30, male 69) from The Cancer Genome Atlas (TCGA) with quantitative MR-imaging data were obtained from The Cancer Imaging Archive (TCIA). Volumes of necrosis on MRI were extracted. Differential gene expression profiles were obtained in those patients, including males and females separately, with high versus low MR volumes of tumor necrosis. Ingenuity pathway analysis and MirWalk were used for mRNA-microRNA interaction analysis. Our histopathology dataset (N= 368; female 144, males 224) was used to validate the MRI findings by assessing the amount of cell death. Connectivity map was used identify therapeutics with potential to target gender specific cell death in glioblastoma.
RESULTS:
Female patients demonstrated significantly lower volumes of necrosis on MRI compared to males (6,821 versus 11,050 mm3; P=0.03). Female patients, unlike males, with high volumes of necrosis on imaging had significantly shorter survival (6.5 versus 14.5 months, P=0.01). Transcription factor analysis suggested that cell death in female GBM patients is associated with MYC, while that in male is associated with TP53 activity. Additionally, we identify group of therapeutics that can potentially be tested to target cell death in gender specific manner.
CONCLUSIONS:
Our results suggest that GBM cell death may be driven by gender-specific molecular pathways.
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title | Data Access |
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| Data AccessCollections Used in this Third Party AnalysisBelow is a list of the Collections used in these analyses:Click the Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever Data Type | Download all or Query/Filter | License |
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Corresponding Original Images from TCGA-GBM - Image Data (DICOM) |
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url | https://wiki.cancerimagingarchive.net/download/attachments/19039040/doiJNLP-Kh3XJS4T.tcia?api=v2 |
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(Requires NBIA Data Retriever.) | |
Please contact help@cancerimagingarchive.net with any questions regarding usage. |
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title | Citations & Data Usage Policy |
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| Citations & Data Usage Policy These collections are freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License. Questions may be directed to help@cancerimagingarchive.net. Please be sure to acknowledge both this data set and TCIA in publications by including the following citations in your work: Tcia limited license policy |
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| Rivka Colen, R. R. Colen, Jixin Wang, Sanjay J., Singh, David AS., Gutman, Pascal O. ZinnD. A., & Zinn, P. O. (2014). Imaging Genomic Mapping Reveals Gender-Specific Oncogenic Associations of Cell Death in Glioblastoma (Glioblastoma-Genomic-Mapping)[Data set]. The Cancer Imaging Archive. http https://doi.org/10.7937/K9/TCIA.2014.WIJJJPLM |
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title | Publication Citation |
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| Colen, R. R., Wang, J., Singh, S. K., Gutman, D. A., & Zinn, P. O. (2015). Glioblastoma: Imaging Genomic Mapping Reveals Sex-specific Oncogenic Associations of Cell Death. In Radiology (Vol. 275, Issue 1, pp. 215–227). Radiological Society of North America (RSNA). https://doi.org/10.1148/radiol.14141800 PMID: 25490189 |
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| 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 . (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, . In Journal of Digital Imaging , Volume (Vol. 26, Number Issue 6, December, 2013, pp 1045-1057. (paper) |
In addition to the dataset citation above, please be sure to cite the following if you utilize these data in your research: Other Publications Using This DataTCIA maintains a list of publications that leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA's Helpdesk. |
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| Version 1 (Current): 2014/12/11
Data Type | Download all or Query/Filter |
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Image Data (DICOM) | |
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