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Record W2405323952 · doi:10.1158/1557-3125.metca15-a70

Abstract A70: Targeting pediatric bone sarcoma stem cell with metabolic inhibitors

2016· article· en· W2405323952 on OpenAlexaboutno aff
Matteo Trucco, Nino Rainsusso, Piti Techavichit, Ronald J. Bernardi, Ryan L. Shuck, Laura Satterfield, Wendy Allen‐Rhoades, L A Donehower, David M. Loeb, Jason T. Yustein

Bibliographic record

VenueMolecular Cancer Research · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsnot available
Fundersnot available
KeywordsSarcomaOsteosarcomaMetforminMedicineBone SarcomaCancer researchStem cellCancer stem cellPopulationOncologyInternal medicineCancerBiologyPathologyInsulin

Abstract

fetched live from OpenAlex

Abstract Our project tests whether metabolic inhibitors are able to target putative sarcoma stem cells in osteosarcoma and Ewing sarcoma. The cure rate for the two most common bone sarcomas affecting children and adolescents, osteosarcoma and Ewing sarcoma, has plateaued around 70% over the past twenty years, and the cure rate for patients with metastatic bone sarcomas has not significantly improved over 20% in several decades. The subpopulation of cells in these tumors referred to as sarcoma stem cells are thought to be responsible for resistance to current therapies, relapses and metastases. To date therapies targeting the sarcoma stem cell population have not been identified. We studied the ability of metabolic inhibitors to eliminate the sarcoma stem cell population. A panel of established and verified osteosarcoma (HOS, 143B, MNNG, SAOS2) and Ewing sarcoma (TC71, TC32, MHH, A4573, CHLA9, CHLA10) cell lines was grown in 2-dimensional culture and treated with metabolic inhibitors, including 2-deoxyglucose, dichloroacetate, oxamate, lonidamine, 3-Bromopyruvate, and metformin for 72hrs establishing dose response curves for each individual agent. Most agents showed IC50s in the millimolar range. Combinations of two metabolic inhibitors at their IC50 were then tested and evaluated for synergy and if the combination would allow for dosing at physiologically attainable concentrations. The combination of 2-deoxyglucose and metformin proved toxic to the osteosarcoma and Ewing sarcoma cell lines (p <0.0001 compared to untreated cells) with synergy detected as measured by combination index <1. In particular this combination showed activity against the stem cell population in all cell lines tested, including reduction of aldehyde dehydrogenase expression as measured by ALDEFLUOR reagent system (Stem Cell Technologies, Vancouver, BC), and decreased sphere-forming efficiency using Image-Pro Plus (MediaCybernetics, Rockville, MD). The cells were then grown in 3-dimensional cultures using Magnetic 3D Bioprinting kit(n3D Biosciences, Houston, TX) and exposed to physiologically attainable concentrations of 2-deoxyglucose (500uM) and metformin (5uM), based on Phase I studies of these individual agents in humans. The resulting 3-dimentional cell cultures were incubated for 10 days with 2-deoxyglucose and metformin and there was a significant reduction in cell proliferation as measured by trypan blue dye exclusion and reduced aldehyde dehydrogenase expression. Additionally, the functional assay of cancer stem cells, sphere-forming efficiency, was impeded in all cell lines treated with the combination of 2-deoxyglucose and metformin. Finally, the ability to establish orthotopic tumors in immune deficient mice was significantly reduced for intratibialy-injected cells pretreated with 2-deoxyglucose and metformin. In vivo testing of the combination of 2-deoxyglucose and metformin to treat established xenograft osteosarcoma and Ewing sarcomas is currently underway, and resulting tumors will be harvested and assessed for aldehyde dehydrogenase expression, sphere-forming efficiency, and further characterization of the stem cell properties and metabolic alterations. Our study will provide the preclinical basis for testing metabolic inhibitors, in particular the combination of 2-deoxyglucose and metformin, in clinical trials for pediatric bone sarcomas. Citation Format: Matteo Trucco, Nino Rainsusso, Piti Techavichit, Ronald Bernardi, Ryan Shuck, Laura Satterfield, Wendy Allen-Rhoades, Larry Donehower, David Loeb, Jason Yustein. Targeting pediatric bone sarcoma stem cell with metabolic inhibitors. [abstract]. In: Proceedings of the AACR Special Conference: Metabolism and Cancer; Jun 7-10, 2015; Bellevue, WA. Philadelphia (PA): AACR; Mol Cancer Res 2016;14(1_Suppl):Abstract nr A70.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.296
Threshold uncertainty score0.894

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.296
Teacher spread0.278 · 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 teacher head, 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
Published2016
Admission routes1
Has abstractyes

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