DDDR-17. A FACILE HIGH THROUGHPUT DRUG SCREENING PLATFORM ENABLES THE CONSTRUCTION OF A PHARMACO-PROTEOGENOMIC INTERACTION LANDSCAPE IN GLIOBLASTOMA

Abstract Despite decades of intensive research, the number of treatment options for glioblastoma (GBM), a devastating disease, remains very limited. The vast tumor heterogeneity of GBM and the blood-brain barrier (BBB) represent major hurdles to developing effective therapeutics. Here, we present CARPOOL, a high-throughput therapeutic screening approach designed to facilitate accurate and parallel interrogation of numerous patient-derived GBM spheroid cultures (GSCs), capturing the disease’s heterogeneity. We validated CARPOOL in vitro and in vivo and then applied it for drug screening using a library of over 700 BBB-penetrating compounds across 23 omics-profiled GSCs. This screening identified numerous potential anti-GBM compounds, including previously non-oncology drugs. Clustering analysis provided insights into the mechanisms of action of some of the compounds. Coupling these results with omics data of the GSCs enabled the identification of genetic, subtype, and gene expression-based predictors of drug sensitivity. Our study presents a new approach for advancing drug screening and in vivo preclinical therapy evaluation for precision oncology. Furthermore, our construction of a pharmaco-proteogenomic interaction landscape offers a valuable resource for both basic and translational glioblastoma research.

Authors

Institutions

Publication Details

Journal
Neuro-Oncology
Published
2024-11-01
DOI
https://doi.org/10.1093/neuonc/noae165.0502
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DDDR-17. A FACILE HIGH THROUGHPUT DRUG SCREENING PLATFORM ENABLES THE CONSTRUCTION OF A PHARMACO-PROTEOGENOMIC INTERACTION LANDSCAPE IN GLIOBLASTOMA

Ravesanker Ezhilarasan, Aram S. Modrek, Erik P. Sulman, Jerome M. Karp et al.
Neuro-Oncology
Computational Drug Discovery Methods
article

DDDR-17. A FACILE HIGH THROUGHPUT DRUG SCREENING PLATFORM ENABLES THE CONSTRUCTION OF A PHARMACO-PROTEOGENOMIC INTERACTION LANDSCAPE IN GLIOBLASTOMA

Ravesanker Ezhilarasan, Aram S. Modrek, Erik P. Sulman, Jerome M. Karp, Yingwen Ding, Ze-Yan Zhang, Melanie Graciani
article en

Abstract

Abstract Despite decades of intensive research, the number of treatment options for glioblastoma (GBM), a devastating disease, remains very limited. The vast tumor heterogeneity of GBM and the blood-brain barrier (BBB) represent major hurdles to developing effective therapeutics. Here, we present CARPOOL, a high-throughput therapeutic screening approach designed to facilitate accurate and parallel interrogation of numerous patient-derived GBM spheroid cultures (GSCs), capturing the disease’s heterogeneity. We validated CARPOOL in vitro and in vivo and then applied it for drug screening using a library of over 700 BBB-penetrating compounds across 23 omics-profiled GSCs. This screening identified numerous potential anti-GBM compounds, including previously non-oncology drugs. Clustering analysis provided insights into the mechanisms of action of some of the compounds. Coupling these results with omics data of the GSCs enabled the identification of genetic, subtype, and gene expression-based predictors of drug sensitivity. Our study presents a new approach for advancing drug screening and in vivo preclinical therapy evaluation for precision oncology. Furthermore, our construction of a pharmaco-proteogenomic interaction landscape offers a valuable resource for both basic and translational glioblastoma research.

Neuro-OncologyVol. 26(Supplement_8)
University of Southern California (US), NYU Langone Health (US)
Good health and well-being
Openalex Percentile: Top 76%
Computational Drug Discovery Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

DDDR-17. A FACILE HIGH THROUGHPUT DRUG SCREENING PLATFORM ENABLES THE CONSTRUCTION OF A PHARMACO-PROTEOGENOMIC INTERACTION LANDSCAPE IN GLIOBLASTOMA — Ravesanker Ezhilarasan, Aram S. Modrek, et al. · Neuro-Oncology (2024) | TGRS Research Map | TGRS