Abstract A006: Understanding the Potential of Human IL-12 and Chimeric IL-15 Combination for Cancer Immunotherapy
Bibliographic record
Abstract
Abstract Autologous cell-based therapy is a preferred approach for Cancer immunotherapy. However, generating potent NK cells and antigen experienced T cells has been a challenge. To address this issue, we have developed a strategy of using the combination of IL-12 and IL-15 to activate CD4+ T cells, CD8+ T cells and NK cells. IL-12 and IL-15 possess distinct roles but both are potent inflammatory cytokines. IL-12 is a vital promoter of Th1 differentiation via activation of signal transducer and activator of transcription 4 (STAT4), while IL-15 is essential for developing innate immune response as well as contributing to the maintenance of memory CD8+ T cells. Substantial in vivo and in vitro data have been reported to support the role of IL-15 as a T cell growth factor. These activities of IL-12 and IL-15 make them ideal for combinatorial immunotherapy of cancer. However, the short half-life (~ 1hr) and poor bioavailability limits the therapeutic use of IL-15. To overcome these limitations, we have designed chimeric IL-15-IgG2 (Indian Patent Application No. 201721010096A) with an objective of augmenting the generation of memory T cells as well as reactivating them during the antigenic challenge. Our stable chimeric IL-15 has a half-life of >40 Hrs. In humans, IL-12 is needed for DCs to provoke rapid IFN-g production by NK cells, IL-15 seems essential for the NK cell proliferation. In the present study, we are testing the potential of chimeric IL-15 individually and in combination with native hIL-12 as an activator of CD4+ T cells, CD8+ T cells and NK cells. The combination of both cytokines shows potent release of IFN-g as well as activation of the T-cell subsets and NK cells. In our future studies we will use these pre-activated cells for adoptive transfer in cancer immunotherapy. Detailed findings will be reported during the conference. Citation Format: Priya Chandramohan Sharma, Digna Patel, Sarat K Dalai. Understanding the Potential of Human IL-12 and Chimeric IL-15 Combination for Cancer Immunotherapy [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor Immunology and Immunotherapy; 2023 Oct 1-4; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Cancer Immunol Res 2023;11(12 Suppl):Abstract nr A006.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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 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".