839 TALL<sup>TM</sup> (Targeted Antigen Loaded Liposomes) immunotherapy exploits recall immunity to form an excellent co-therapy option for immune checkpoint inhibitors
Bibliographic record
Abstract
<h3>Background</h3> Colorectal cancer is the third most common and second deadliest cancer globally, and with the incidence projected to increase, there is a need for new combination therapies. The heterogenous and poorly immunogenic tumor microenvironment of colorectal cancer poses unique challenges for individual immunotherapies. The combination of two immunotherapies, tumor-infiltrating lymphocytes (TILs) and oncolytic viruses, shows promise in overcoming these challenges and improving patient outcomes. While showing promise select solid cancers, TIL therapy has been limited due to the scarcity of lymphocytes within the tumor, especially those that are tumor specific. However, preliminary studies have shown that pre-administration of an oncolytic virus increases lymphocyte infiltration into the tumor, as well as the number of antitumor lymphocytes, that can be harvested for adoptive cell therapy. <h3>Methods</h3> We have established a pipeline for harvesting, isolating, culturing, the characterization, and adoptive cell transfer of murine TILs. Using an MC38 colorectal tumor model in C57BL/6 mice, we determined the impact of oncolytic viruses on TILs that can be harvested for adoptive cell therapy. The number of TILs isolated per gram of tumors in combination with IHC were used to assess the impact of individual oncolytic viruses on TIL recruitment to the tumor. The relationship between oncolytic virus pre-administration and TIL composition was characterized using flow cytometry and immune assays. We evaluated the efficacy of the oncolytic virus-induced TILs compared to conventional TILs when adoptively transferred in a lung metastasis model <i>in vivo</i>. <h3>Results</h3> Pre-administration of an oncolytic virus induces changes in the TIL population that can be harvested for adoptive cell therapy. Oncolytic virus pre-administration increases the frequency of CD8+ T cells in oncolytic virus-enriched TIL population compared to conventional TILs. The oncolytic virus-induced TILs showed greater specificity tumor-specificity compared to conventional TILs and was maintained during expansion. Oncolytic virus-induced TILs were able to impair tumor progression more than conventional TILs when adoptively transferred to a MC38 lung metastasis model, demonstrating <i>in vivo</i> efficacy. <h3>Conclusions</h3> Oncolytic viruses can be used to overcome some of the challenges that limit the use of TIL therapy for patients with solid cancers. Oncolytic virus-induced TIL therapy fits well within the current treatment landscape and has great potential for improving outcomes for those with colorectal cancer, making it ideal for integration into patient care. Our approach would facilitate the use of highly polyclonal TILs as a viable immunotherapy that currently cannot be used for majority of solid tumors. <h3>Ethics Approval</h3> Study obtained ethics approval from the Animal Care Committee at the University of Ottawa.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".