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Record W4409636126 · doi:10.1158/1538-7445.am2025-3924

Abstract 3924: <i>in vitro- in vivo</i> model correlations and cross-species comparisons in osteosarcoma

2025· article· en· W4409636126 on OpenAlexaff
Emma N. Vanderboon, Geoffrey A. Wood, Courtney R. Schott

Bibliographic record

VenueCancer Research · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMolecular Biology Techniques and Applications
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsOsteosarcomaIn vivoIn vitroBiologyOncologyInternal medicineCancer researchMedicineGenetics

Abstract

fetched live from OpenAlex

Abstract Osteosarcoma (OS) is the most common primary malignant bone cancer of both humans and dogs, characterized by its high rate of metastasis. Despite decades of research, treatment strategies for OS have seen limited advancements in over 40 years. This stagnation highlights the critical need for accurate preclinical models to investigate metastasis and develop relevant therapeutic approaches. Understanding the utility and limitations of in vitro and in vivo OS models is paramount to deriving meaningful conclusions that can guide future research and inform clinical strategies. This study aims to develop an in vitro assay pipeline to investigate mechanisms of metastasis and to characterize a panel of human OS cell lines previously characterized using orthotopic amputation and intravenous murine metastasis models, allowing us to examine in vitro- in vivo correlations. Furthermore, the study seeks to characterize a diverse panel of canine OS cell lines, enabling cross-species comparisons since canine OS serves as an important model for human disease and vice versa. By correlating findings between species and in vitro and in vivo models, this investigation seeks to bridge gaps in understanding how metastatic behaviors observed in the laboratory translate to the complexities of metastasis in living organisms. The human panel includes eight patient-derived xenograft (PDX)-derived cell lines (5 primary, 3 metastatic) and two commercial OS cell lines (MG63, SJSA). The canine panel includes commercial cell line D17 and 13 primary cell lines (11 primary, 2 metastatic). The in vitro pipeline comprises six assays designed to mimic key steps of the metastatic cascade: migration (via scratch and transwell assays), invasion (using a spherical invasion assay), anchorage-independent survival (anoikis assay), and colony formation (clonogenic assay). Additionally, doubling-time will be measured to assess proliferation. Results show differences between in vivo and in vitro metastatic behavior for individual cell lines. By establishing a robust and reproducible cross-species in vitro assay pipeline, this study aims to enhance our understanding of OS metastasis and provide a platform for future mechanistic studies. The ultimate goal is to facilitate the accurate interpretation of in vitro and in vivo findings, ensuring that conclusions drawn from these models are relevant and actionable in the context of future OS research and therapeutic development. Citation Format: Emma N. Vanderboon, Geoffrey A. Wood, Courtney R. Schott. in vitro- in vivo model correlations and cross-species comparisons in osteosarcoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 3924.

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)0.005
metaresearch head score (Gemma)0.003
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 score0.006
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.003

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 head0.049
GPT teacher head0.419
Teacher spread0.370 · 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
Published2025
Admission routes1
Has abstractyes

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