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Abstract B029: Studies in human bone cell co-cultures reveal a potential mechanism underlying bone fractures in children treated with entrectinib and suggest a positive association with vitamin D

2024· article· en· W4402266824 on OpenAlexaboutno aff
Sabrina Ehnert, Kevin A. Schulz, Alison K. Cardenas, Georgina Meneses‐Lorente, Adrian Roth, Sabine Fürst‐Recktenwald

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldMedicine
TopicBone health and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMechanism (biology)MedicineInternal medicineBioinformaticsBiology

Abstract

fetched live from OpenAlex

Abstract Introduction: Entrectinib, a NTRK, ROS1 and ALK inhibitor, approved in the US for adult patients with ROS1-positive metastatic non-small cell lung cancer and adult and pediatric patients older than 1 month of age with solid tumors that have a NTRK gene fusion, has been associated with the occurrence of bone fractures, particularly in pediatric patients. These fractures might be caused by an inhibition of signaling pathways relevant for bone development in children. Methods: To investigate the mechanism of the observed effect we used a suite of human bone cells representing both juvenile and adult bone physiology. These models were treated with Entrectinib and its major metabolite M5. Molecular as well as functional readouts were assessed to reveal the pathomechanism of the observed clinical findings. Results: Data showed, that Entrectinib induced a reduction of cellular markers of osteoblastic activity and a reduced formation of mineralized matrix. Conversely, Entrectinib had stimulating effects on osteoclast function indicative of bone resorption. 3D osteoblast-osteoclast cultures revealed decreased stiffness after Entrectinib treatment, confirming the cell signaling data. These findings were particularly pronounced in the absence of 17β-estradiol, characteristic for juvenile bone. Finally, pre-treatment with Vitamin D led to partially restored osteoblast function in vitro, while osteoclast function was suppressed. Conclusions: These experiments support the suspected on-target effect of Entrectinib underlying increased fractures in children with developing bone, offering potential mitigation strategies once these observations have been confirmed with clinical data. Citation Format: Sabrina Ehnert, Kevin A. Schulz, Alison K. Cardenas, Georgina Meneses-Lorente, Adrian Roth, Sabine Fürst-Recktenwald. Studies in human bone cell co-cultures reveal a potential mechanism underlying bone fractures in children treated with entrectinib and suggest a positive association with vitamin D [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 B029.

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 score0.005
Threshold uncertainty score0.015

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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.048
GPT teacher head0.435
Teacher spread0.388 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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