Improving Understanding of Glioblastoma Through Preservation of Biologically Active Brain Tissue (PRESERVE GBM)
Summary
To collect and preserve glioblastoma tissue during standard of care tumor resection surgery and blood for future molecular and genetic testing. Tissue for research will be collected from three different regions within the same tumor to study how these regions differ in their structure, DNA, and RNA and also to compare the data obtained from this testing to imaging data found in the medical record. The goal of this study is to help us better understand what the glioblastoma tumor tissue looks like and how it functions. This understanding can lead to new therapies for the treatment of glioblastoma in the future.
Arms & interventions
- ProcedureSpecimen Collection
Collect and preserve glioblastoma tissue for exploratory analyses to generate hypotheses for future studies.
Outcome measures
Primary
Number of glioblastoma (GBM) samples for analysis
Total number of GBM samples collected and preserved for analysis
Time frame: 2 years
Eligibility criteria
Study locations (1)
Miami Cancer Institute at Baptist Health, Inc.
Miami, Florida, 33176
References
- GLASS Consortium. Glioma through the looking GLASS: molecular evolution of diffuse gliomas and the Glioma Longitudinal Analysis Consortium. Neuro Oncol. 2018 Jun 18;20(7):873-884. doi: 10.1093/neuonc/noy020.(PubMed)
- Kumar A, Boyle EA, Tokita M, Mikheev AM, Sanger MC, Girard E, Silber JR, Gonzalez-Cuyar LF, Hiatt JB, Adey A, Lee C, Kitzman JO, Born DE, Silbergeld DL, Olson JM, Rostomily RC, Shendure J. Deep sequencing of multiple regions of glial tumors reveals spatial heterogeneity for mutations in clinically relevant genes. Genome Biol. 2014 Dec 3;15(12):530. doi: 10.1186/s13059-014-0530-z.(PubMed)
- Lee JK, Wang J, Sa JK, Ladewig E, Lee HO, Lee IH, Kang HJ, Rosenbloom DS, Camara PG, Liu Z, van Nieuwenhuizen P, Jung SW, Choi SW, Kim J, Chen A, Kim KT, Shin S, Seo YJ, Oh JM, Shin YJ, Park CK, Kong DS, Seol HJ, Blumberg A, Lee JI, Iavarone A, Park WY, Rabadan R, Nam DH. Spatiotemporal genomic architecture informs precision oncology in glioblastoma. Nat Genet. 2017 Apr;49(4):594-599. doi: 10.1038/ng.3806. Epub 2017 Mar 6.(PubMed)
- Prasanna P, Patel J, Partovi S, Madabhushi A, Tiwari P. Radiomic features from the peritumoral brain parenchyma on treatment-naive multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings. Eur Radiol. 2017 Oct;27(10):4188-4197. doi: 10.1007/s00330-016-4637-3. Epub 2016 Oct 24.(PubMed)