Abstract PO1-02-01: T Cell Receptor Sequencing to Monitor Pelareorep-Induced Expansion of Tumor Infiltrating Lymphocytes
Bibliographic record
Abstract
Abstract Background: Tumor infiltrating lymphocytes (TILs) represent a major immunological tumor control mechanism that is associated with better prognosis in breast cancer. We have previously reported the effect of pelareorep (pela), an intravenously delivered, non-engineered oncolytic reovirus, on a composite measurement of TILs and tumor cellularity (CelTIL) from the AWARE-1 window-of-opportunity study in patients with early breast cancer (eBC). These results showed treatment increased in CelTIL scores especially in the atezolizumab group. To confirm and extend these findings we applied T cell receptor sequencing of matched tumor tissue and whole blood pre and post-treatment from the AWARE-1 study to further explore the effects of pela therapy on TILs. Methods: Newly diagnosed HR+/HER2- eBC patients were enrolled into two cohorts: Cohort 1: pela + letrozole (n=10); and Cohort 2: pela + letrozole + atezolizumab (n=10). Pela was administered on days 1, 2 and 8, 9, and atezolizumab was given on day 3. Tumor biopsies (FFPE samples) collected pre-treatment (~D-23) and on day ~21 when tumors were surgically removed. T cell fraction analysis and T cell receptor sequencing were performed by Adaptive Biotechnology (Seattle, Washington) Immunoseq protocol. Results: As was shown for the CelTIL scores, an increase in the tumor T cell fraction, a direct measurement of TILs, was observed at 1-month post-treatment in both cohorts with a mean percent increase of 21% for Cohort 1 and 67% for Cohort 2. Through TCR-sequencing of tumor tissue, we identified TIL clones and tracked their differential abundance in tumor tissue and blood post-treatment. The results of this analysis at Day 21 showed a mean post-treatment expansion of 10 tumor specific clones in the blood for Cohort 1, and a mean post-treatment increase of 40 tumor specific clones for Cohort 2. Conclusions: These results confirm the previously reported CelTIL results from AWARE-1 on pela-induced increases in TILs and demonstrate the expansion of these clones in both tumor and blood as a consequence of pela therapy for HR+/HER2- breast cancer. Citation Format: Richard Trauger, Houra Loghmani, Matt Coffey, Fernando Salvador, Joaquín Gavilá, Luis Manso, Tomás Pascual, Aleix Prat, Thomas Heineman. T Cell Receptor Sequencing to Monitor Pelareorep-Induced Expansion of Tumor Infiltrating Lymphocytes [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-02-01.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".