Abstract PO-060: Novel combination of TRIP13 and Aurora kinase A inhibition demonstrated extensive DNA damage and immunogenic cell death in RB-deficient cancers
Bibliographic record
Abstract
Abstract Many lethal cancer types have inactivation of the retinoblastoma (Rb) tumor suppressor pathway including cancers caused by human papillomavirus (HPV), which causes >5% of all cancers worldwide. There are no therapies that uniquely target Rb-deficient cancers. Biomarker-selected, molecular targeted therapy for Rb-deficient cancers represents both an unmet need and a translational knowledge gap. To address this gap, we recently published data that support a model in which Rb-deficient cancers, having high levels of Mad2, survive owing to TRIP13-mediated inhibition of Mad2 and Aurora A-mediated mitotic progression. The combination of Aurora A inhibition (alisertib) plus TRIP13 depletion caused extensive apoptosis in Rb-deficient, but not in Rb-proficient, cancer cells. Both Aurora A and TRIP13 are involved in the cell’s response to DNA damage and apoptosis that can lead to immunogenic cell death (ICD), prompting us to investigate the mechanism underlying the synthetic lethality of TRIP13 and Aurora A in Rb-deficient cancer cells. We transfected two HPV+ cell lines with TRIP13 or control siRNA and incubated with 100nM alisertib. We also generated two stable HPV+ cell lines with TRIP13KO. In both these systems, TRIP13 KD or KO alone did not cause apoptosis. Incubation with alisertib resulted in significant cell death, that validated our previous findings. We then tested the effect of the combination on DNA damage. Alisertib caused robust increases in γH2AX, pTIF1β (KAP1, TRIM28), and DNA PKcs, measured using immunoblotting, in both TRIP13 KD and KO HPV+ cell lines. We also observed enhanced γH2AX staining using confocal microscopy. ICD leads to activation of immune cells by the dying cancer cells in the tumor microenvironment involving the release of antigenic fragments that are engulfed, processed and presented by antigen presenting cells for the induction of antigen-specific T-cell responses. Studies have shown DNA damage stimulates the cGAS/STING pathway leading to ICD. In our system, we saw that TRIP13KO and KD in HPV+ cells treated with alisertib, resulted in marked activation of the cGAS/STING pathway and release of cytochrome C and IL1α in the cell supernatant, which are markers of pyroptosis. Additionally, we also observed gasdermin-E cleavage. The combination further led to increased cancer cell secretion of GM-CSF, IL6, and IL18 that can activate macrophages, NK cells and T-cells. The selective effect of the combination in Rb-deficient cancer cells allowed us to significantly reduce the concentration of alisertib. By sparing normal cells that express Rb, this combination can potentially reduce treatment toxicity in patients with Rb-deficient cancers. The ICD induced by this combination may lead to host T-cell engagement, thereby further enhancing tumor elimination. This work can shape future clinical trials that can change current treatment regime Citation Format: Soma Ghosh, Tuhina Mazumdar, Pragya Sinha, Lacin Yapindi, Jagannadha Sastry, Faye M. Johnson. Novel combination of TRIP13 and Aurora kinase A inhibition demonstrated extensive DNA damage and immunogenic cell death in RB-deficient cancers [abstract]. In: Proceedings of the AACR-AHNS Head and Neck Cancer Conference: Innovating through Basic, Clinical, and Translational Research; 2023 Jul 7-8; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2023;29(18_Suppl):Abstract nr PO-060.
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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) | 0.002 | 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".