Pelareorep driven blood TIL expansion in patients with pancreatic, breast and colon cancer.
Bibliographic record
Abstract
e14625 Background: Tumor infiltrating lymphocytes (TILs) represent a major immunological tumor control mechanism that is associated with better prognosis in cancer. One emerging cancer treatment approach to leverage the therapeutic potential of TILs is the expansion and adoptive cell transfer of autologous TILs, commonly referred to as autologous adoptive therapy (ACT). ACT clinical studies have shown encouraging results. While the majority of these trials have targeted melanoma, impressive clinical benefit has also been observed in cervical cancer, with preliminary efficacy in colorectal cancer (CRC), cholangiocarcinoma, non-small cell lung cancer, and breast cancer. Pelareorep (pela) is a live, replication competent reovirus (T3D) that selectively replicates in cancer cells and represents a new class of immunotherapy currently being explored in multiple clinical settings. To examine the effect of pela therapy on TIL expansion we applied T cell receptor sequencing of matched tumor tissue and whole blood pre- and post-treatment in a subset of breast, pancreatic, and (CRC) subjects receiving chemotherapy and atezolizumab, an anti-PD-L1 therapy, and intravenous treatment with pela. Methods: Identification of TIL clones was performed by immunosequencing of the CDR3 regions of human T-cell receptor-β (TCRβ) chains (ImmunoSEQ Assay, Adaptive Biotechnologies). DNA was isolated from tissue and blood at baseline and from blood collected post-treatment. TCRβ CDR3 regions were amplified by a multiplex, bias-controlled PCR with primers targeting the V and J genes of T cells as well as primers targeting housekeeping genes to quantitate the total nucleated cells in each sample. PCR products were sequenced on an Illumina NextSeq. Results: Pela treatment was observed to increase the expansion of pre-existing and new TIL clones in the blood in from all tumor samples after one cycle of treatment. We also observed that pre-existing TIL clonal expansion in the blood seemed to correlate with reductions in tumor volume in pancreatic cancer and to a lesser extent in CRC patients who received multiple cycles of therapy. Interestingly, unlike atezolizumab, pela’s clinical activity was lost when combined with avelumab, a PD-LI inhibitor capable of binding Fc receptors and inducing ADCC. The addition of avelumab eliminated pre-existing TIL expansion in the blood highlighting the importance of TIL expansion following pela therapy. Conclusions: These findings, while preliminary, suggest that the clinical benefits observed following pela immunotherapy may be mechanistically analogous to ACT. Accordingly, pela therapy may offer a means to directly expand TILs without the need for tumor resection, ex vivo TIL expansion, T cell ablation and IL-2 therapy. Clinical trial information: Eudra-CT: 2020-003996-16 .
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".