First-in-Class Immuno-Oncology Drug APG157DS Repolarizes Innate Immune Cells and Induces Durable Remission in a Syngeneic Glioblastoma Model

APG157DS is a multi-component investigational drug which is currently the subject of multiple cancer trials. It has shown promising efficacy in patients with head and neck cancer. We report its immuno-modulatory effect in a syngeneic mouse model of glioblastoma (GBM). Long-term treatment with APG157DS led to durable tumor remission in 50% of mice, while all vehicle-treated mice reached humane endpoints within 42 days. Mechanistically, the drug induced selective repolarization of tumor-associated macrophages (TAMs) from an immunosuppressive Arg1high/iNOSlow phenotype to a tumoricidal Arg1low/iNOShigh state, accompanied by increased intratumoral recruitment of activated (NKp46+) natural killer cells and CD8+ cytotoxic T-cells. APG157DS also suppressed vascular endothelial growth factor (VEGF) and Hypoxia-inducible factor 1-alpha (HIF-1α) expression in tumors, further impairing tumor growth. Notably, APG157DS did not elicit off-target macrophage activation in peripheral tissues such as the spleen, highlighting its selective immune targeting. These findings provide a mechanistic rationale for further clinical development of APG157DS in GBM and potentially other immune-evasive cancers.

Authors

Institutions

Publication Details

Journal
International Journal of Molecular Sciences
Published
2026-07-27
DOI
https://doi.org/10.3390/ijms27156687
Primary Topic
Immune cells in cancer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

First-in-Class Immuno-Oncology Drug APG157DS Repolarizes Innate Immune Cells and Induces Durable Remission in a Syngeneic Glioblastoma Model

Kamrul Zaman, Youssef Zaim Wadghiri, Stefan Marković, Shubhasmita Mohapatra et al.
International Journal of Molecular Sciences
Immune cells in cancer
article

First-in-Class Immuno-Oncology Drug APG157DS Repolarizes Innate Immune Cells and Induces Durable Remission in a Syngeneic Glioblastoma Model

Kamrul Zaman, Youssef Zaim Wadghiri, Stefan Marković, Shubhasmita Mohapatra, Probal Banerjee, Lauren O’Donnell, Neha Rahman, Adrian Guerrero, Luis Avila, Parag Mehta
article en

Abstract

APG157DS is a multi-component investigational drug which is currently the subject of multiple cancer trials. It has shown promising efficacy in patients with head and neck cancer. We report its immuno-modulatory effect in a syngeneic mouse model of glioblastoma (GBM). Long-term treatment with APG157DS led to durable tumor remission in 50% of mice, while all vehicle-treated mice reached humane endpoints within 42 days. Mechanistically, the drug induced selective repolarization of tumor-associated macrophages (TAMs) from an immunosuppressive Arg1high/iNOSlow phenotype to a tumoricidal Arg1low/iNOShigh state, accompanied by increased intratumoral recruitment of activated (NKp46+) natural killer cells and CD8+ cytotoxic T-cells. APG157DS also suppressed vascular endothelial growth factor (VEGF) and Hypoxia-inducible factor 1-alpha (HIF-1α) expression in tumors, further impairing tumor growth. Notably, APG157DS did not elicit off-target macrophage activation in peripheral tissues such as the spleen, highlighting its selective immune targeting. These findings provide a mechanistic rationale for further clinical development of APG157DS in GBM and potentially other immune-evasive cancers.

International Journal of Molecular SciencesVol. 27(15)
College of Staten Island (US), Advanced Imaging Research (United States) (US)
Openalex Percentile: Top 17%
Immune cells in cancer
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.