Targeting the extracellular matrix with Tenascin-C-specific CAR T cells extends survival in preclinical models of glioblastoma
Bibliographic record
Abstract
BACKGROUND: Glioblastoma (GBM) is an aggressive brain tumor associated with poor outcome and limited treatment options. Chimeric antigen receptor (CAR) T cells targeting cell surface antigens were shown to induce tumor regression in patients with GBM, although efficacy was transient. To broaden the range of tumor-restricted antigens, we developed CAR T cells targeting Tenascin-C (TNC), a secreted extracellular matrix protein that is overexpressed in GBM and plays a critical role in tumor progression. METHODS: Second-generation CAR T cells were engineered to target the alternatively spliced fibronectin type III (FNIII)-D domain of TNC using a single-chain variable fragment isolated from the R6N antibody and coupled to a CD28 costimulatory domain. TNC-CAR T cells were evaluated in vitro for antigen specificity, activation, and cell proliferation using TNC-expressing patient-derived GBM cell lines cultured as adherent cells or as neurospheres. Reactivity toward purified TNC protein, tumor supernatant, and ex vivo patient tumor samples was also assessed. Cytotoxic CAR T-cell activity was tested against TNC-positive and TNC-negative GBM cell lines, including bystander effects mediated by secreted TNC. In vivo efficacy and safety were determined in NOD scid gamma mice bearing patient-derived GBM tumors. RESULTS: TNC-CAR T cells demonstrated activation when exposed to TNC-positive GBM cells, cell-derived supernatants, or purified TNC protein. They exhibited potent cytotoxicity against TNC-expressing, GBM-derived adherent cells and neurospheres, and induced bystander killing of TNC-negative cells in the presence of either TNC-secreting cells or purified TNC. In vivo, TNC-CAR T cells efficiently infiltrated tumors, triggered cancer cell apoptosis, and significantly extended survival of mice bearing patient-derived GBM, with no evidence of off-tumor toxicity. Notably, TNC-CAR T cells were activated exclusively in the presence of tumor samples and showed no reactivity toward patient-derived non-tumor tissues. CONCLUSIONS: Targeting the alternatively spliced FNIII-D domain of TNC with CAR T cells offers a promising therapeutic approach for GBM. TNC-CAR T cells demonstrated specific tumor recognition, robust antitumor activity and the ability to induce bystander effects mediated by secreted TNC. Their efficacy in preclinical models, combined with a favorable safety profile, underscores their potential for clinical translation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".