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Record W3047585484 · doi:10.1158/1538-7445.pedca19-a35

Abstract A35: P-Glycoprotein is a resistance mechanism for conventional induction chemotherapy but not ALK inhibitors in high-risk neuroblastoma

2020· article· en· W3047585484 on OpenAlexaboutno aff
Caroline Atkinson, Carole M. Tactacan, Alvin Kamili, Federica Saletta, Christine C. Gana, Georgina L. Eden, Chelsea Mayoh, Richard B. Lock, Murray D. Norris, Michelle Haber, Andrew J. Gifford, Toby N. Trahair, Jamie I. Fletcher

Bibliographic record

VenueCancer Research · 2020
Typearticle
Languageen
FieldMedicine
TopicNeuroblastoma Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsVincristineNeuroblastomaCrizotinibEtoposideDoxorubicinCancer researchMedicineDrug resistanceP-glycoproteinAnaplastic lymphoma kinaseGene knockdownMultiple drug resistancePharmacologyOncologyChemotherapyInternal medicineBiologyLung cancerCell cultureCyclophosphamide

Abstract

fetched live from OpenAlex

Abstract Background: Despite intensive treatment, patients with high-risk neuroblastoma (HR-NB) have a five-year survival rate of only 50%, largely due to intrinsic or acquired drug resistance. The multidrug transporter P-glycoprotein (P-gp; ABCB1) effluxes conventional agents used in HR-NB induction therapy, including vincristine, etoposide, and doxorubicin, and has been reported as a resistance mechanism to the ALK inhibitors crizotinib and ceritinib. We assessed the prevalence of P-gp expression and its role in resistance to standard-of-care chemotherapies and molecularly targeted therapies. Methods and Results: Analysis of ABCB1 levels in large patient tumor datasets demonstrates that high expression is more common in neuroblastoma than in other cancers and may be attributable to the sympathoadrenal lineage of the disease. Moreover, high relative expression of ABCB1 in HR-NB tumors is associated with poorer outcome, consistent with its multidrug transporter function. Frequent high ABCB1/P-gp expression in HR-NB was confirmed using RNA-sequencing, immunohistochemistry, and Western blot on panels of neuroblastoma tumor samples, patient-derived xenograft models, and cell lines. We demonstrated that the P-gp inhibitor tariquidar and P-gp knockdown (shRNA) both strongly sensitize high P-gp expressing neuroblastoma cells to vincristine, doxorubicin, and etoposide but not to ALK inhibitors or to relapse therapy regimens. Further, P-gp knockdown sensitized human neuroblastoma xenografts to vincristine, substantially extending animal survival. We have generated ABCB1-null HR-NB cell lines by CRISPR/Cas9 gene editing to further assess the role of P-gp in HR-NB drug resistance, have established flow-based assays to measure P-gp activity in tumor samples, and are investigating the benefits of tariquidar as adjuncts to conventional chemotherapy in PDX models. Conclusions: Elevated P-gp expression is common in HR-NB. In laboratory models, P-gp can confer resistance to standard-of-care chemotherapies but not to ALK inhibitors. Our findings suggest that tumor P-gp activity might be used to guide treatment options for individual patients in order to avoid ineffective treatments. The potential of P-gp inhibitors as adjuncts to conventional chemotherapy for HR-NB should be further investigated. Citation Format: Caroline Atkinson, Carole Tactacan, Alvin Kamili, Federica Saletta, Christine Gana, Georgina Eden, Chelsea Mayoh, Richard Lock, Murray Norris, Michelle Haber, Andrew Gifford, Toby Trahair, Jamie Fletcher. P-Glycoprotein is a resistance mechanism for conventional induction chemotherapy but not ALK inhibitors in high-risk 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 A35.

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: Observational · Consensus signal: none
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.066
GPT teacher head0.367
Teacher spread0.301 · 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 designObservational
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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