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Hia Ghosh, BS

Job Title

Research Assistant

Academic Rank

Staff/Research Assistant

Department

Neurosurgery

Authors

Hia S. Ghosh, BS, Ruchit V. Patel, BS, Eleanor Woodward, BS, Noah Greenwald, BS, Varun M. Bhave, BS, Eduardo Maury, PhD, Samantha E. Hoffman, BS, Yvonne Li, PhD, Hersh Gupta, BS, Liam F. Spurr, BS, Mehdi Touat, MD, Frank Dubois, MD, Andrew D. Cherniack, PhD,, Gino Cioffi, MPH, E. Antonio Chiocca, MD, PhD; David A. Reardon, MD, Patrick Y. Wen, MD, David Meredith, MD, PhD, Sandro Santagata, MD, PhD, Jill S. Barnholtz-Sloan, PhD, Keith L. Ligon, MD, PhD, Rameen Beroukhim, MD, PhD, Wenya Linda Bi, MD, PhD

Principal Investigator

Wenya Linda Bi, MD, PhD

Categories

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Contemporary Molecular Landscape, Survival and Prognostic Factors in over 4,000 Gliomas

Scientific Abstract

The Cancer Genome Atlas project (TCGA) revolutionized the classification of gliomas through molecular characterization (Nature, 2008). Since 2008, molecular and prognostic statistics from TCGA have been a reference-point and have guided the development of treatment strategies. However, TCGA only investigated gliomas that met strictly-defined histologic criteria, perhaps incompletely representing the tumor heterogeneity seen in clinical practice. To address this, we aggregated 4,400 molecularly annotated gliomas- one of the largest multi-institutional cohorts to-date (non-TCGA). We investigated modern outcomes, genomic diversity, and prognostic features among adult-type gliomas (glioblastoma, IDH1/2-mutant astrocytoma (IDHmut-astrocytoma), and oligodendroglioma).
The non-TCGA cohort may better represent outcomes in the patient population. Overall survival (OS) was significantly higher in the non-TCGA cohort’s glioblastomas (Non-TCGA=19.0mo,TCGA=15.0mo), IDHmut-astrocytomas (Non-TCGA=11.4yrs,TCGA=7.3yrs), and oligodendrogliomas (Non-TCGA=25.6yrs,TCGA=11.3yrs). Furthermore, white race was associated with improved OS in non-TCGA but not in TCGA.
Through the non-TCGA cohort’s statistical power, we elucidated canonical and novel prognostic molecular alterations across glioma subtypes. We defined a rare subpopulation of aggressive IDHmut-astrocytoma with EGFR-amplification (an alteration common in glioblastoma). We also identified the additive, harmful effect of CDKN2A/B loss on survival (no-loss=best survival, 1-copy-loss=intermediate, and 2-copy-loss=worst). Furthermore, our findings highlight how certain molecular alterations may drive the well-established link between age and patient outcome.

Lay Abstract

The Cancer Genome Atlas project (TCGA) revolutionized the classification of gliomas through molecular characterization (Nature, 2008). Since 2008, molecular and prognostic statistics from TCGA have been a reference-point and have guided the development of treatment strategies. However, TCGA only investigated gliomas that met strictly-defined histologic criteria, perhaps incompletely representing the tumor heterogeneity seen in clinical practice. To address this, we aggregated 4,400 molecularly annotated gliomas- one of the largest multi-institutional cohorts to-date (non-TCGA). We investigated modern outcomes, genomic diversity, and prognostic features among adult-type gliomas (glioblastoma, IDH1/2-mutant astrocytoma (IDHmut-astrocytoma), and oligodendroglioma).
The non-TCGA cohort may better represent outcomes in the patient population. Overall survival (OS) was significantly higher in the non-TCGA cohort’s glioblastomas (Non-TCGA=19.0mo,TCGA=15.0mo), IDHmut-astrocytomas (Non-TCGA=11.4yrs,TCGA=7.3yrs), and oligodendrogliomas (Non-TCGA=25.6yrs,TCGA=11.3yrs). Furthermore, white race was associated with improved OS in non-TCGA but not in TCGA.
Through the non-TCGA cohort’s statistical power, we elucidated canonical and novel prognostic molecular alterations across glioma subtypes. We defined a rare subpopulation of aggressive IDHmut-astrocytoma with EGFR-amplification (an alteration common in glioblastoma). We also identified the additive, harmful effect of CDKN2A/B loss on survival (no-loss=best survival, 1-copy-loss=intermediate, and 2-copy-loss=worst). Furthermore, our findings highlight how certain molecular alterations may drive the well-established link between age and patient outcome.

Clinical Implications

Overall survival in gliomas has improved since TCGA, the benchmark of glioma research, was established. We provide an updated cohort for outcomes & drug development. Unique molecular profiles across glioma-subtypes provide insight into biological drivers that influence heterogenous clinical outcomes