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Carcinoembryonic antigen-expressing oncolytic measles virus derivative in recurrent glioblastoma: a phase 1 trial.

Authors :
Galanis E
Dooley KE
Keith Anderson S
Kurokawa CB
Carrero XW
Uhm JH
Federspiel MJ
Leontovich AA
Aderca I
Viker KB
Hammack JE
Marks RS
Robinson SI
Johnson DR
Kaufmann TJ
Buckner JC
Lachance DH
Burns TC
Giannini C
Raghunathan A
Iankov ID
Parney IF
Source :
Nature communications [Nat Commun] 2024 Jan 12; Vol. 15 (1), pp. 493. Date of Electronic Publication: 2024 Jan 12.
Publication Year :
2024

Abstract

Measles virus (MV) vaccine strains have shown significant preclinical antitumor activity against glioblastoma (GBM), the most lethal glioma histology. In this first in human trial (NCT00390299), a carcinoembryonic antigen-expressing oncolytic measles virus derivative (MV-CEA), was administered in recurrent GBM patients either at the resection cavity (Group A), or, intratumorally on day 1, followed by a second dose administered in the resection cavity after tumor resection on day 5 (Group B). A total of 22 patients received study treatment, 9 in Group A and 13 in Group B. Primary endpoint was safety and toxicity: treatment was well tolerated with no dose-limiting toxicity being observed up to the maximum feasible dose (2×10 <superscript>7</superscript> TCID50). Median OS, a secondary endpoint, was 11.6 mo and one year survival was 45.5% comparing favorably with contemporary controls. Other secondary endpoints included assessment of viremia, MV replication and shedding, humoral and cellular immune response to the injected virus. A 22 interferon stimulated gene (ISG) diagonal linear discriminate analysis (DLDA) classification algorithm in a post-hoc analysis was found to be inversely (R = -0.6, p = 0.04) correlated with viral replication and tumor microenvironment remodeling including proinflammatory changes and CD8 + T cell infiltration in post treatment samples. This data supports that oncolytic MV derivatives warrant further clinical investigation and that an ISG-based DLDA algorithm can provide the basis for treatment personalization.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
2041-1723
Volume :
15
Issue :
1
Database :
MEDLINE
Journal :
Nature communications
Publication Type :
Academic Journal
Accession number :
38216554
Full Text :
https://doi.org/10.1038/s41467-023-43076-7