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  4. A Sequential Targeting Strategy Interrupts AKT-Driven Subclone-Mediated Progression in Glioblastoma
 
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2023
Journal Article
Title

A Sequential Targeting Strategy Interrupts AKT-Driven Subclone-Mediated Progression in Glioblastoma

Abstract
PURPOSE: Therapy resistance and fatal disease progression in glioblastoma are thought to result from the dynamics of intra-tumor heterogeneity. This study aimed at identifying and molecularly targeting tumor cells that can survive, adapt, and subclonally expand under primary therapy.
EXPERIMENTAL DESIGN: To identify candidate markers and to experimentally access dynamics of subclonal progression in glioblastoma, we established a discovery cohort of paired vital cell samples obtained before and after primary therapy. We further used two independent validation cohorts of paired clinical tissues to test our findings. Follow-up preclinical treatment strategies were evaluated in patient-derived xenografts.
RESULTS: We describe, in clinical samples, an archetype of rare ALDH1A1+ tumor cells that enrich and acquire AKT-mediated drug resistance in response to standard-of-care temozolomide (TMZ). Importantly, we observe that drug resistance of ALDH1A1+ cells is not intrinsic, but rather an adaptive mechanism emerging exclusively after TMZ treatment. In patient cells and xenograft models of disease, we recapitulate the enrichment of ALDH1A1+ cells under the influence of TMZ. We demonstrate that their subclonal progression is AKT-driven and can be interfered with by well-timed sequential rather than simultaneous antitumor combination strategy.
CONCLUSIONS: Drug-resistant ALDH1A1+/pAKT+ subclones accumulate in patient tissues upon adaptation to TMZ therapy. These subclones may therefore represent a dynamic target in glioblastoma. Our study proposes the combination of TMZ and AKT inhibitors in a sequential treatment schedule as a rationale for future clinical investigation.
Author(s)
Kebir, Sied
Ullrich, Vivien
Berger, Pia
Dobersalske, Celia
Langer, Sarah
Rauschenbach, Laurèl
Trageser, Daniel
Till, Andreas
Lorbeer, Franziska K.
Wieland, Anja
Wilhelm-Buchstab, Timo Martin
Ahmad, Ashar
Fröhlich, Holger  
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Cima, Igor
Prasad, Shruthi
Matschke, Johann
Jendrossek, V.
Remke, Marc
Grüner, Barbara M.
Roesch, Alexander
Siveke, Jens T.
Herold-Mende, Christel C.
Blau, Tobias
Keyvani, Kathy
Landeghem, F. van
Pietsch, Torsten
Felsberg, Jörg U.
Reifenberger, Guido
Weller, Michael
Sure, Ulrich
Brüstle, Oliver
Simon, Matthias
Glas, Martin
Scheffler, Björn
Journal
Clinical cancer research  
Open Access
DOI
10.1158/1078-0432.CCR-22-0611
Language
English
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
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