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Record W3046932746 · doi:10.1158/1538-7445.pedca19-a23

Abstract A23: Novel approaches to Ewing sarcoma therapy

2020· article· en· W3046932746 on OpenAlexaboutno aff
Dauren Alimbetov, Yidong Chen, Peter J. Houghton, Raushan T. Kurmasheva

Bibliographic record

VenueCancer Research · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsPARP1DNA damageCancer researchSynthetic lethalityFLI1BiologySarcomaCancerPediatric cancerDNA repairDNAChromosomal translocationMedicineGeneGeneticsPoly ADP ribose polymerasePathology

Abstract

fetched live from OpenAlex

Abstract Ewing family of sarcomas (EwS) comprises the fourth most common highly malignant childhood cancer. The driver translocation in these tumors, EWSR1-FLI1, introduces DNA damage and replication stress. These dysregulations render EwS cells reliant on the ATR/CHK1 axis to maintain genome stability. High sensitivity of EwS cells to PARP1 inhibition (PARPi) was reported and attributed to a positive PARP1/EWSR1-FLI1 feedback loop. Further, it has been shown that with EWSR1-FLI1 expression, BRCA1 is trapped with the active transcription complex unable to go to DNA breaks. PARPi impairs the repair of single-strand DNA breaks and alkylated bases leading to double-strand DNA breaks, which cannot be repaired efficiently in BRCA-deficient cancers (synthetic lethality) (1). Several groups including ours previously identified the combination of PARP1i talazoparib (TLZ) with DNA-damaging agent, temozolomide (TMZ), to cause regressions of ~50% of EwS xenograft models. However, both in mice and in children’s trial, the combination causes toxicity and necessitates reduction of the dose of TMZ to ~13% of its single-agent maximum tolerated dose. Combined inhibition of PARP1 and ATR has been shown to synergize in suppressing growth of BRCA-mutant patient-derived xenografts models (2). The long-term goal of the proposed study is to develop more effective EwS therapy based on EWSR1-FLI1-induced vulnerabilities. EwS cells represent heterogeneity in expressing EWSR1-FLI1 fusion protein. As sequencing is generally performed in “bulk” with results being interpreted as average of gene expression patterns derived from vast populations of cells, the biologically relevant differences between cells may not be represented. Single-cell RNA-seq therefore offers new possibilities of overcoming such challenges. By studying single cells, their transcripts and generating sequencing libraries of separate cells, we are able to study fundamental biologic properties of cell populations and biologic systems at a single-cell level. Our studies demonstrate positive correlation between the expression of EWSR1-FLI1 and DNA replication genes at single-cell resolution. Single-cell studies may provide deep understanding of time-dependent behaviors of individual cells in response to dynamic changes of EWSR1-FLI1 expression. We propose that EWSR1-FLI1-induced DNA replication stress leads to reliance of EwS cells on PARP1 and ATR DNA repair pathways in order to maintain genome stability. We have selected number of metal-conjugated antibodies to identify changes in DNA damage response genes in subpopulations of EwS cells using CyTOF. Latest findings on changes of DNA damage/repair genes upon downregulation of EWSR1-FLI1 at a single-cell level will be presented. Citation Format: Dauren Alimbetov, Yidong Chen, Peter Houghton, Raushan Kurmasheva. Novel approaches to Ewing sarcoma therapy [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 A23.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.002

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 head0.297
GPT teacher head0.431
Teacher spread0.135 · 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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