DNA damage response deficiency enhances neuroblastoma progression and sensitivity to combination PARP and ATR inhibition
Bibliographic record
Abstract
Sequencing of neuroblastoma (NB) tumors has revealed genetic alterations in genes involved in DNA damage response (DDR) pathways. However, roles for specific alterations of DDR genes in pediatric solid tumors remain poorly understood. To address this, mutations in the DDR pathway including Brca2, Atm, and Palb2 were incorporated into an established zebrafish MYCN transgenic model (Tg(dbh:EGFP-MYCN)). These mutations enhance NB formation and metastasis and result in upregulation of cell-cycle checkpoint and DNA damage repair signatures, revealing molecular vulnerabilities in DDR-deficient NB. DDR gene knockdown in zebrafish and human NB cells increases sensitivity to the poly(ADP-ribose) polymerase (PARP) inhibitor olaparib, and this effect is enhanced by inhibition of the ataxia telangiectasia and rad3-related (ATR) kinase. This work provides in vivo evidence demonstrating that alterations in certain DDR-pathway genes promote aggressive NB and supports combination PARP + ATR inhibitor therapy for NB patients with tumors harboring specific genetic alterations in DDR.
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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) | 0.001 | 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 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".