EXTH-142. Quantitative surfaceome profiling of high-risk medulloblastoma prioritizes the oncofetal antigen GPC2 for potent CAR-T cell therapy
Abstract Recurrent medulloblastoma (MB) remains a devastating pediatric brain tumor with <10% survival. CAR-T cells have shown promise in aggressive childhood brain tumors, but success in MB is limited by suitable cell-surface targets. Requirements for efficacious CAR-T antigens include that levels in clinical specimens exceed CAR-T detection thresholds and absence in vital tissues. We profiled the CAR-T antigen landscape of MB using unbiased surfaceome analysis from tumor and normal tissue transcriptomes and precisely quantified antigen densities of selected candidates on tumor biopsies. We found that MB closely resembles prenatal brain and expresses several oncofetal proteins, ranking Glypican-2 (GPC2) as the top candidate. GPC2 antigen densities ranged from 0-15944 molecules/cell on GR3/GR4-MB subgroups (mean: 5019 +/-1595), which often exhibit diminished cure rates. Antigen density determines CAR-T potency and we previously engineered GPC2-CAR-Ts tuned towards clinical densities on neuroblastoma and demonstrated that cJUN-overexpression (OE) augments their potency by lowering antigen detection thresholds (Heitzeneder et. al, 2022). Here, we employ orthotopic xenograft models and locoregional CAR-T delivery to study the interplay between GPC2 antigen density and CAR potency and inform a phase-1 study design. We found that both GPC2-CAR-Ts (+/-cJUN) mediate durable disease control against GPC2-intermediate GR4-MB (ICB1299: 8979 mol/cell and MBT375, newly established PDX: 6270 mol/cell). In a highly aggressive, MYC-amplified, GPC2-high GR3-MB model (SU_MB002: 18493 mol/cell), recurrence was observed in 3/5 mice post GPC2-CAR, while repeated dosing or cJUN-OE significantly improved persistence and long-term anti-tumor control. In a GPC2-low, GR3-MB model (HDMB03: 2750 mol/cell) used to further dissect antigen detection limits, only cJUN.GPC2-CAR maintained anti-tumor responses. These data support an upcoming phase-1 clinical trial at Stanford, testing repeated, locoregional GPC2-CAR-T infusions in patients with recurrent/refractory MB and emphasize needing to enroll subjects with GPC2+ disease, that is predicted to be above CAR detection thresholds, aiming to provide targeted treatment options for this devastating malignancy.
Authors
- Chitra Venugopal (ORCID: https://orcid.org/0009-0000-2968-2971)
- Sheila Kumari Singh (ORCID: https://orcid.org/0000-0003-1272-5300)
- Darya Chernova (ORCID: https://orcid.org/0000-0003-1125-632X)
- Maria Trissal (ORCID: https://orcid.org/0000-0003-2861-658X)
- Poul Sørensen
- Emon Nasajpour
- Diren Usta (ORCID: https://orcid.org/0000-0001-9999-5703)
- Yu‐Qi Feng (ORCID: https://orcid.org/0000-0003-1107-5385)
- Rebecca Poetschke
- Alberto Delaidelli (ORCID: https://orcid.org/0000-0001-7416-6503)
- William D. Gwynne (ORCID: https://orcid.org/0000-0001-5745-5637)
- Crystal L. Mackall (ORCID: https://orcid.org/0000-0001-6323-4304)
- Christopher Dunham (ORCID: https://orcid.org/0000-0002-6244-0584)
- Elena Sotillo (ORCID: https://orcid.org/0000-0002-3993-1932)
- Sabine Heitzeneder (ORCID: https://orcid.org/0000-0001-8770-2192)
- Jasper van der Lugt (ORCID: https://orcid.org/0000-0002-8186-338X)
- Claudia Petritsch (ORCID: https://orcid.org/0000-0002-3442-4974)
- Stefan Nierkens (ORCID: https://orcid.org/0000-0003-3406-817X)
- Katherine Ryan
- Yujin Suk (ORCID: https://orcid.org/0000-0002-3966-3771)
- Yiyun Chen (ORCID: https://orcid.org/0000-0003-3886-2100)
- Louai Labanie
- Molly T Radosevic
Institutions
- BC Cancer Agency (CA)
- Princess Máxima Center (NL)
- BC Children's Hospital (CA)
- Canadian Centre for Applied Research in Cancer Control (CA)
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center (US)
- Stanford University (US)
- McMaster University (CA)
Publication Details
- Journal
- Neuro-Oncology
- Published
- 2025-11-01
- DOI
- https://doi.org/10.1093/neuonc/noaf201.1473
- Primary Topic
- CAR-T cell therapy research
- Type
- article
- Field-Weighted Citation Impact
- 0.00