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Record W3047160360 · doi:10.1158/1538-7445.pedca19-a49

Abstract A49: Combined targeting of the p53 and pRb pathway in neuroblastoma

2020· article· en· W3047160360 on OpenAlexaboutno aff
Nil A. Schubert, Linda Schild, Stijn van Oirschot, Kaylee M. Keller, Lindy K. Alles, Lindy Vernooij, Marloes E. Nulle, Emmy Dolman, Marlinde L. van den Boogaard, Jan J. Molenaar

Bibliographic record

VenueCancer Research · 2020
Typearticle
Languageen
FieldMedicine
TopicNeuroblastoma Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPalbociclibCDKN2AMdm2Cancer researchNeuroblastomaBiologyCell cycleCyclin D1CancerMutationCell cultureMedicineGeneticsGene

Abstract

fetched live from OpenAlex

Abstract Neuroblastomas account for approximately 15% of all childhood cancer deaths. Clinical complete remission is achieved in many stage 4 neuroblastoma patients, but the high risk of relapse and the accompanying treatment-resistant nature of these tumors is still a challenge. We have previously identified higher frequencies of mutations that affect both the p53 and the pRb pathway, such as the homozygous loss of CDKN2A or co-amplification of MDM2 and CDK4. In addition, both cyclin D1 and MDM2 overexpression is a common characteristic of primary neuroblastoma. These genes act upstream of pRb and p53 and hence play a major role in cell cycle regulation. To study whether these G1 checkpoint aberrations render cells more sensitive to CDK4 or MDM2 inhibition, we exposed a series of 11 cell lines to the most promising CDK4 (ribociclib, palbociclib, and abemaciclib) and MDM2 (SAR405838, HDM-201, and idasanutlin) inhibitors. These cell lines have well-defined mutational properties: homozygous CDKN2A deletion, co-amplification of CDK4 and MDM2, TP53 mutation, and MYCN amplification. Whereas sensitivity for the MDM2 inhibitors inversely correlated with TP53 mutation status, it did not correlate to other G1 checkpoint aberrations. Similarly, there was no clear correlation seen for the CDK4 inhibitors. To further explore this, we generated cell lines with inducible overexpression of CDK4, MDM2, or both. The overexpression did indeed not increase sensitivity to CDK4 or MDM2 inhibitors. Next, we were interested whether combined treatment with the most potent CDK4 and MDM2 inhibitors, abemaciclib and idasanutlin respectively, would be of added value. Cells were exposed to 10 different concentrations of both compounds and Bliss Independence values were calculated as a measure of synergy. Interestingly, combined treatment resulted in slight antagonism in the range of clinically relevant doses in most cell lines. This adverse effect was supported by cell cycle analyses, which showed a lower apoptotic fraction, as well as PARP and caspase 3 cleavage, after combined treatment, as opposed to MDM2 inhibition alone. As was previously suggested in the first clinical trials with CDK4 inhibitors, neither CDK4 nor CDKN2A status is a clear biomarker for CDK4 inhibitor sensitivity. Our results suggest that MDM2 and CDKN2A status also fail as biomarkers for MDM2 inhibitor sensitivity. Further testing is necessary to identify (other) biomarkers for these inhibitors. Moreover, the logical rationale to combine CDK4 and MDM2 inhibitors in neuroblastoma patients with both pRb and p53 pathway disturbances should be taken with precaution, as first results do not show a beneficial response. In vivo experiments to confirm this finding are currently ongoing. Citation Format: Nil Schubert, Linda Schild, Stijn van Oirschot, Kaylee Keller, Lindy Alles, Lindy Vernooij, Marloes Nulle, Emmy Dolman, Marlinde van den Boogaard, Jan Molenaar. Combined targeting of the p53 and pRb pathway in neuroblastoma [abstract]. In: Proceedings of the AACR Special Conference on the Advances in Pediatric Cancer Research; 2019 Sep 17-20; Montreal, QC, Canada. Philadelphia (PA): AACR; Cancer Res 2020;80(14 Suppl):Abstract nr A49.

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 score0.002
Threshold uncertainty score0.008

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)0.0020.001

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 head0.077
GPT teacher head0.377
Teacher spread0.299 · 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
Published2020
Admission routes1
Has abstractyes

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