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Record W4415641574 · doi:10.1016/j.drup.2025.101319

ZBP1 antagonizes MRE11-mediated DNA end resection and confers synthetic lethality to PARP inhibition in ovarian cancer

2025· article· en· W4415641574 on OpenAlexaff
Shen-Nan Shi, Qiuyang Xu, Zhiqi Liao, Wenjian Gong, Yilin Cui, Jiahao Liu, Xiaofei Jiao, Yijie Wu, Mengshi Luo, Linghui Wang, Yuanjia Wen, Wen Pan, Xuejiao Zhao, Marilyne Labrie, Zhiyong Ding, Gordon B. Mills, Ding Ma, Guang‐Nian Zhao, Qinglei Gao, Yong Fang

Bibliographic record

VenueDrug Resistance Updates · 2025
Typearticle
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsUniversité de Sherbrooke
FundersNational Key Research and Development Program of ChinaNational Natural Science Foundation of ChinaFoundation for Innovative Research Groups of the National Natural Science Foundation of ChinaFoundation for Innovative Research Groups of Hubei Province of ChinaDr. Miriam and Sheldon G. Adelson Medical Research FoundationBreast Cancer Research Foundation
KeywordsSynthetic lethalityPoly ADP ribose polymerasePARP inhibitorOvarian cancerDNA damageDNA repairOlaparibProgrammed cell death

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.011
GPT teacher head0.302
Teacher spread0.291 · 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

Citations1
Published2025
Admission routes1
Has abstractno

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