IMMU-12. TRANSLATING COMBINED PD1 AND LAG3 INHIBITION FROM PRECLINICAL MODELS TO PATIENTS WITH REFRACTORY, DNA REPLICATION REPAIR DEFICIENT (RRD) GLIOBLASTOMA: AN IRRDC STUDY
Bibliographic record
Abstract
Abstract BACKGROUND AND AIMS RRD-glioblastoma harbour high tumor mutation burden (TMB) and respond to anti-PD1 immune-checkpoint inhibition (ICI). However, not all respond, and the majority progress, highlighting the need for combinatorial therapies for sustained immune-surveillance. METHODS We performed transcriptomic analyses of human RRD-glioblastoma specimens for immune checkpoint expression, and accordingly, tested combined ICI in immunocompetent murine models. Based on these preclinical data, we treated refractory patients using a combination of anti-PD1+anti-LAG3 through single-patient trial/compassionate access. Complimentary immuno-genomic biomarker analyses including circulating tumor DNA (ctDNA) were performed to investigate mechanisms and track responses. RESULTS Human RRD-glioblastoma (n=80) demonstrated high LAG3 expression, providing a strong rationale for therapeutic targeting. We tested combined anti-PD1+anti-LAG3 inhibition in three immunocompetent RRD-glioblastoma murine models. In the anti-PD1-responsive (Nestin-CreMSH2LoxP/LoxP-POLES459F/+) model, anti-PD1+anti-LAG3 resulted in universal tumor response and superior survival to ICI-monotherapy. In the anti-PD1 resistant models (Mlh1-/-/NestinCre+/Trp53LoxP/LoxP and therapy-induced hypermutant ENU/Trp53-/- gliomas), anti-PD1+antiLAG3 improved survival, overcoming the lack of response to ICI-monotherapy. Biologically, high LAG3 expression and immune-exhaustion observed in CD8 T-cells after treatment with anti-PD1 was ablated following the addition of anti-LAG3. Serially transplanted, post-anti-PD1 treated tumors showed response, confirming, in-vivo, that resistance to anti-PD1 could be abrogated by anti-PD1+anti-LAG3. Seven children with refractory RRD-glioblastoma who had progressed after anti-PD1 treatment were treated using anti-PD1+anti-LAG3, resulting in objective radiological responses and prolonged ongoing survival. Tolerability was better than a previous study of combined CTLA4 and PD1 inhibition for similar patients. Paired immuno-genomic tumor analyses, serial blood flow-cytometry, T-cell receptor clonotype, and CSF ctDNA analyses provided novel insights into the mechanisms of immunological invigoration and first-in-human, radiological responses. CONCLUSIONS LAG3 is an effective target in refractory RRD-glioblastoma. Combined inhibition with anti-PD1 inhibition demonstrated radiological response, prolonged survival and manageable toxicities in patients, and unearthered mechanisms of immune-responses. The combination will now be tested in biomarker-driven clinical trials in RRD-glioblastoma and other immune-inflamed solid tumors.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".