The Cancer Imaging Archive

Glioblastoma-Genomic-Mapping | Glioblastoma: Imaging Genomic Mapping Reveals Sex-specific Oncogenic Associations of Cell Death

DOI: 10.7937/K9/TCIA.2014.WIJJJPLM | Data Citation Required | 5 Views | Analysis Result

Summary

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.

 

Some data in this collection (a subset of TCGA-GBM) contains images that could potentially be used to reconstruct a human face. To safeguard the privacy of participants, users must sign and submit a TCIA Restricted License Agreement to help@cancerimagingarchive.net before accessing the data.

Collections Used In This Analysis Result

Citations & Data Usage Policy

Data Citation Required: Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution must include the following citation, including the Digital Object Identifier: