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Spatially Resolved Whole Transcriptome Analysis of Histologically-Characterized Tissue Microarray of Patient-Matched Primary and Recurrent Glioblastomas to Identify Underlying Mechanisms of Treatment Resistance

K.J. Lee, R. Chkheidze, H. Alrefai,C. Margaroli, A. Gaggar,T. Nguyen,J.C. Anderson,R. Bash, C.R. Miller,C.D. Willey

International journal of radiation oncology, biology, physics(2023)

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Abstract
Recurrent selection at previously identified genomic loci and molecular pathways underscores a possible conserved set of pathways for treatment resistance. This analysis has yielded a set of gene and molecular pathways that will guide future work in our lab targeting treatment resistance using novel therapeutics and radiation techniques in GBM. Future directions include assessing the feasibility of mapping these clinical samples onto our previously generated panel of comprehensively characterized patient-derived xenograft lines.
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Key words
recurrent glioblastomas,whole transcriptome analysis,histologically-characterized,patient-matched
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