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Record W4409633240 · doi:10.1158/1538-7445.am2025-2830

Abstract 2830: Aurora kinase B phosphorylates ZBP1 to drive PANoptosis following treatment with a combination of PARP and ATR inhibitors

2025· article· en· W4409633240 on OpenAlexaff
Wenjian Gong, Zhiqi Liao, Shen-Nan Shi, Fan Xiong, Mengshi Luo, Yuewen Zhang, Qiuyang Xu, Yijie Wu, Linghui Wang, Li Zhu, Dong Kuang, Marilyne Labrie, Xuejiao Zhao, Gordon B. Mills, Ding Ma, Guangnian Zhao, Qinglei Gao, Yong Fang

Bibliographic record

VenueCancer Research · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrotubule and mitosis dynamics
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsPoly ADP ribose polymeraseKinasePhosphorylationCancer researchMedicinePharmacologyChemistryEnzymeBiochemistryPolymerase

Abstract

fetched live from OpenAlex

Background: The combination of DNA damage response inhibitors (DDRis) to induce unrepaired DNA damage entry into mitosis prematurely has emerged as a promising strategy for anticancer therapy. However, the efficacy is often limited by their tolerability due to associated toxicities. Method & Result: Here we demonstrate that combining poly (ADP-ribose) polymerase (PARP) and ATR inhibitors induces PANoptosis in both cancer and non-cancer cells as a result of abnormal mitotic progression. This is highly dependent on CDK1 activity. Furthermore, ZBP1-dependent PANoptosome (ZBP1-RIPK1-CASP8-CASP6) mediated PARP and ATR inhibitors combination therapy induced PANoptosis. Further exploration revealed that the kinase activity of aurora kinase B (AURKB) was essential for ZBP1-mediated PANoptosis following the treatment. ZBP1 could be phosphorylated by AURKB during mitosis, and phosphorylated ZBP1 subsequently facilitates the assembly and activation of PANoptosome. Finally, our findings were validated in an ovarian cancer patient-derived xenograft (PDX) model in which PARPi and ATRi combination induced PANoptosis in both tumor and normal tissue Importantly, the toxicity to normal tissues was mitigated in ZBP1-knockout mice. Conclusion: Overall, these results suggest that phosphorylation of ZBP1 by AURKB triggers the activation of ZBP1-dependent PANoptosome after treatment with PARPi and ATRi combination, leading to cell-intrinsic antineoplastic activity and toxicity. Our study elucidates the specific mechanisms underlying cell fate determination during aberrant mitosis progression resulting from PARPi and ATRi combination therapy. These findings provide a theoretical foundation for understanding their anticancer effects and toxicity, crucial for optimizing the use of DDRis combination approaches in the clinic. Citation Format: Wenjian Gong, Zhiqi Liao, Shennan Shi, Fan Xiong, Mengshi Luo, Yuewen Zhang, Qiuyang Xu, Yijie Wu, Linghui Wang, Li Zhu, Dong Kuang, Marilyne Labrie, Xuejiao Zhao, Gordon B Mills, Ding Ma, Guangnian Zhao, Qinglei Gao, Yong Fang. Aurora kinase B phosphorylates ZBP1 to drive PANoptosis following treatment with a combination of PARP and ATR inhibitors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 2830.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.016
GPT teacher head0.335
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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