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Abstract A007 DNA damage response deficiency enhances neuroblastoma progression and sensitivity to combination PARP and ATR inhibition

2024· article· en· W4402266317 on OpenAlexaffabout
Madeline N. Hayes, Sarah Cohen‐Gogo, Lynn Kee, Mehdi Layeghifard, Ivette Valencia-Sama, Anisha Rajaselvam, David R. Kaplan, Anita Villani, Adam Shlien, Daniel A. Morgenstern, Meredith S. Irwin

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsUniversity of TorontoHospital for Sick Children
Fundersnot available
KeywordsDNA damageNeuroblastomaCancer researchPoly ADP ribose polymeraseMedicineBiologyDNAGeneticsPolymeraseCell culture

Abstract

fetched live from OpenAlex

Abstract Background: Significant progress has been made in identifying mutations and defining biological heterogeneity in neuroblastoma (NB) using high-throughput sequencing approaches. However, functional roles for many specific genetic alterations in NB initiation, growth, and metastasis remain to be fully defined. Pathogenic and/or likely pathogenic (P/LP) alterations in genes involved in DNA Damage Response (DDR) pathways were identified in approximately 30% of patients enrolled in the SickKids Cancer Sequencing Program (KiCS). Despite being well studied in many adult cancers, roles for DDR disruption and potential therapeutic implications remains poorly understood for NB and other pediatric solid tumors. Aims: We aimed to define roles for DDR-deficiency in NB progression and assess the therapeutic potential of targeted agents using patient-specific DDR loss-of-function NB models. Methods: We incorporated loss-of-function mutations in atm, brca2, palb2, and bard1 into an established zebrafish MYCN-driven model of human NB and characterized tumor progression, transcriptional signatures, and response to candidate therapeutics in vivo. Human cell lines with DDR protein knock-down were used to assess candidate drug combinations in vitro. Results: Mutations in DDR genes were found to enhance tumor penetrance and metastasis in MYCN-driven zebrafish NB, and resulted in upregulation of proliferation, cell cycle checkpoint, and DNA damage repair transcriptional signatures. Zebrafish DDR-deficient NB and human NB cells with DDR protein knock-down were sensitive to the poly(ADP-ribose)-polymerase (PARP) inhibitor olaparib, and this effect was further enhanced by inhibition of the ataxia telangiectasia and rad3 related (ATR) kinase. Conclusions: Our data supports an in vivo functional role for DDR-deficiency in NB, as well as potential molecular vulnerabilities. Pre-clinical assessments in vitro and in vivo suggest therapeutic potential for combination PARP + ATR inhibition in NB patients with alterations in DDR genes. Citation Format: Madeline N. Hayes, Sarah Cohen-Gogo, Lynn Kee, Mehdi Layeghifard, Ivette Valencia-Sama, Anisha Rajaselvam, David Kaplan, Anita Villani, Adam Shlien, Daniel A. Morgenstern, Meredith S Irwin. DNA damage response deficiency enhances neuroblastoma progression and sensitivity to combination PARP and ATR inhibition [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pediatric Cancer Research; 2024 Sep 5-8; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl):Abstract nr A007.

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 score0.003
Threshold uncertainty score0.011

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)0.0030.001

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 head0.062
GPT teacher head0.448
Teacher spread0.386 · 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
Published2024
Admission routes2
Has abstractyes

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