Temporospatial genomic profiling in glioblastoma identifies commonly altered core pathways underlying tumor progression

Author:

Blomquist Mylan R12,Ensign Shannon Fortin3,D’Angelo Fulvio4,Phillips Joanna J5,Ceccarelli Michele6,Peng Sen7,Halperin Rebecca F8,Caruso Francesca P9,Garofano Luciano49,Byron Sara A8,Liang Winnie S8,Craig David W10,Carpten John D10,Prados Michael D11,Trent Jeffrey M8,Berens Michael E7,Iavarone Antonio4,Dhruv Harshil7,Tran Nhan L12

Affiliation:

1. Department of Cancer Biology, Mayo Clinic Arizona, Scottsdale, Arizona, USA

2. Department of Neurosurgery, Mayo Clinic Arizona, Scottsdale, Arizona, USA

3. Department of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA

4. Institute for Cancer Genetics, Columbia University Medical Center, New York, New York, USA

5. Department of Pathology, University of California, San Francisco, San Francisco, California, USA

6. BIOGEM, Ariano Irpino, Italy

7. Cancer and Cell Biology Division, Translational Genomics Research Institute, Phoenix, Arizona, USA

8. Integrated Cancer Genomics Division, The Translational Genomics Research Institute, Phoenix, Arizona, USA

9. Department of Science and Technology, Università degli Studi del Sannio, Benevento, Italy

10. Department of Translational Genomics, University of Southern California Keck School of Medicine, Los Angeles, California, USA

11. Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA

Abstract

Abstract Background Tumor heterogeneity underlies resistance and disease progression in glioblastoma (GBM), and tumors most commonly recur adjacent to the surgical resection margins in contrast non-enhancing (NE) regions. To date, no targeted therapies have meaningfully altered overall patient survival in the up-front setting. The aim of this study was to characterize intratumoral heterogeneity in recurrent GBM using bulk samples from primary resection and recurrent samples taken from contrast-enhancing (EN) and contrast NE regions. Methods Whole exome and RNA sequencing were performed on matched bulk primary and multiple recurrent EN and NE tumor samples from 16 GBM patients who received standard of care treatment alone or in combination with investigational clinical trial regimens. Results Private mutations emerge across multi-region sampling in recurrent tumors. Genomic clonal analysis revealed increased enrichment in gene alterations regulating the G2M checkpoint, Kras signaling, Wnt signaling, and DNA repair in recurrent disease. Subsequent functional studies identified augmented PI3K/AKT transcriptional and protein activity throughout progression, validated by phospho-protein levels. Moreover, a mesenchymal transcriptional signature was observed in recurrent EN regions, which differed from the proneural signature in recurrent NE regions. Conclusions Subclonal populations observed within bulk resected primary GBMs transcriptionally evolve across tumor recurrence (EN and NE regions) and exhibit aberrant gene expression of common signaling pathways that persist despite standard or targeted therapy. Our findings provide evidence that there are both adaptive and clonally mediated dependencies of GBM on key pathways, such as the PI3K/AKT axis, for survival across recurrences.

Funder

Ben and Catherine Ivy Foundation

National Institutes of Health

National Cancer Institute

Publisher

Oxford University Press (OUP)

Subject

Electrical and Electronic Engineering,Building and Construction

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