Abstract A018: Targeting PTPN1/PTPN2 with KQ-791 enhances NK cell cytotoxicity during tumor rechallenge
Bibliographic record
Abstract
Abstract Introduction and Hypothesis: Natural killer (NK) cells are cytolytic innate lymphocytes that play a key role in immune surveillance and elimination of malignant cells, particularly those that evade T cell responses and contribute to metastasis. NK cells eliminate tumor cells through multiple cytotoxic mechanisms, including direct release of cytotoxic granules to induce tumor cells apoptosis. Their ability to recognize and kill tumor cells without prior antigen presentation makes them attractive candidates for allogeneic cell-based cancer immunotherapy. However, the lack of persistent cytotoxic activity in cancer patients remains challenging to improve NK cell-based immunotherapy. Protein tyrosine phosphatases PTPN1 (PTP1B) and PTPN2 (TC-PTP) are negative regulators of cytokine signaling and immune cell activation. In our previous studies, we showed that pharmacological dual-inhibition of PTPN1/PTPN2 enhanced expression of cytokine-mediated cytotoxic granules in NK cells. Since NK cell mediated serial killing involves persistent release of cytolytic granules, we hypothesize that dual inhibition of PTPN1 and PTPN2 will enhance NK cell-mediated persistent cytotoxicity during tumor rechallenges. Experimental Methods: We used a competitive small molecule inhibitor, KQ-791, targeting PTPN1/PTPN2 in NK cells. To assess the effect of KQ-791 on NK cell cytotoxicity over repeated tumor encounters, we used the Incucyte Live-Cell Analysis System. NK-92 cells were pre-treated for with KQ-791 or PBS, prior to co-culture. GFP expressing U87 tumor cells and NK-92 NK cells were then assayed in co-culture at various effector: target cell ratios. To model tumor rechallenge, fresh U87-GFP cells were added every 2–3 days for five total challenges. IL-2 was replenished at each rechallenge. In one experimental arm, KQ-791 (or PBS) was added again at alternate rechallenges. Tumor cell burden was assessed by measuring integrated fluorescence intensity of GFP+ U87 cells. Images were acquired periodically and analyzed to quantify tumor cell killing. Results: NK cells pre-treated with KQ-791 showed enhanced tumor clearance across all the effector: target ratios at the initial tumor challenge as well as for four subsequent tumor rechallenges. The difference in tumor killing was most evident for the 1:1 effector: target cell ratio. Retreatment with KQ-791 enhanced killing at tumor rechallenge. Conclusion: These findings demonstrate that pharmacological inhibition of PTPN1 and PTPN2 using KQ-791 enhances NK-92–mediated persistent tumor cell killing during repeated tumor challenges. The observed effect was particularly pronounced at lower effector-to-target ratios, highlighting the potential of KQ-791 to improve NK cell persistence and efficacy under limiting conditions. This study provides evidence supporting the use of PTPN1/2 inhibitors to potentiate NK cell–based immunotherapy, warranting further investigation in primary NK cells and in vivo models. Citation Format: Sonali Uttam, Chu-Han Feng, Isabelle Aubry, David Langlais, Pierre Laneuville, Michel L. Tremblay. Targeting PTPN1/PTPN2 with KQ-791 enhances NK cell cytotoxicity during tumor rechallenge [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Mechanisms of Cancer Immunity and Cancer-related Autoimmunity; 2025 Sep 24-27; Montreal, QC, Canada. Philadelphia (PA): AACR; Cancer Immunol Res 2025;13(9 Suppl):Abstract nr A018.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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 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".