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Record W2565056401 · doi:10.1158/1538-7445.am2015-1812

Abstract 1812: Ultrasound-stimulated microbubble based biomechanical enhancement of radiation cell death: Role of acid sphingomyelinase and ceramide

2015· article· en· W2565056401 on OpenAlexaff
Gregory J. Czarnota, Ahmed El Kaffas, Anoja Giles, Azza Al Mahrouki, Amr Hashim

Bibliographic record

VenueCancer Research · 2015
Typearticle
Languageen
FieldEngineering
TopicUltrasound and Hyperthermia Applications
Canadian institutionsSunnybrook Hospital
Fundersnot available
KeywordsMicrobubblesAcid sphingomyelinaseCeramideCD31ExtravasationChemistryUltrasoundPathologyMedicineApoptosisBiochemistryImmunohistochemistry

Abstract

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Abstract We have recently demonstrated that mechanical perturbation of endothelial cells from ultrasound-stimulated microbubbles (USMB) results in enhanced tumour radiosensitivity. When exposed to high-power ultrasound, microbubbles release energy in the form of local mechanical forces on the membranes of surrounding endothelial cells. Upon irradiation, rapid vascular shutdown occurs followed by extensive secondary tumour cell death. Our hypothesis is that USMB-based endothelial membrane perturbations produce ceramide via a sphingomyelinase (ASMase) pathway, and act synergistically with radiation to enhance overall tumour response. Here we investigate the role of the SMase-ceramide pathway on USMB-based endothelial radiosensitization. Experiments were carried out in wild type (C57BL/6) and ASMase knockout mice, implanted with a fibrosarcoma line (MCA-129). Animals were treated with radiation doses varying from 0-8 Gy alone, or in combination with USMB. In addition, we pre-treated a subset of animals with sphingosine-1-phosphate (S1P). Treatments with USMB consisted of a 16-cycle tone burst at a 500 kHz center frequency and 570 kPa using a 2.86 cm element diameter ultrasound transducer. The total insonification time was 750 ms over 5 minutes. Microbubbles (Lantheus Medical) were injected through the tail-vein resulting in a blood volume concentration of 1% or 3% (v/v). Treatment response was assessed with Doppler ultrasound acquired at 3, 24 and 72 hrs using a VEVO770 preclinical ultrasound system. The vascularity index (VI) was used to quantify power Doppler data. Staining using ISEL, ceramide and CD31 immunohistochemistry of tumour sections was used to complement ultrasound images, and to confirm results. Results suggest a link between USMB-based radiosensitization and ASMase. We observed an average decrease of 30% in the VI by 3 hrs in wild type tumours receiving 8 Gy radiation alone. In contrast, those receiving 8 Gy and USMB resulted in a VI decrease of up to 50%. Similarly, while 2 Gy alone induced minimal effects on the tumour vasculature, combining it with USMB resulted in up to 40% decrease in the VI by 24 hrs. Vascular effects were significant (p < 0.05) and sustained for up to 72 hrs after combined treatments. These resulted in significant cell death. In contrast to wild type animals, ASMase knockout mice, or wild-type mice receiving S1P, were found to be generally resistant to the anti-vascular effects of radiation and USMB. We noted minimal cell death and no vascular shutdown following any of the treatments in those experimental groups. Overall conclusions drawn from this work point to a mechanotransduction-like effect that results in endothelial radiosensitization. Citation Format: Gregory Jan Czarnota, Ahmed El Kaffas, Anoja Giles, Azza Al Mahrouki, Amr Hashim. Ultrasound-stimulated microbubble based biomechanical enhancement of radiation cell death: Role of acid sphingomyelinase and ceramide. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 1812. doi:10.1158/1538-7445.AM2015-1812

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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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0030.001

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 head0.043
GPT teacher head0.318
Teacher spread0.275 · 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
Published2015
Admission routes1
Has abstractyes

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