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Record W4414612909 · doi:10.1302/1358-992x.2025.8.035

CURRENT LANDSCAPE OF COMPLEX BIOFABRICATED MSK TUMOUR MICROENVIRONMENT MODELS FOR THERAPEUTIC SCREENING: WHERE DO WE GO FROM HERE?

2025· article· en· W4414612909 on OpenAlexaff
Derek H. Rosenzweig

Bibliographic record

VenueOrthopaedic Proceedings · 2025
Typearticle
Languageen
FieldMedicine
TopicCancer Cells and Metastasis
Canadian institutionsMcGill University
Fundersnot available
KeywordsCancerDrugDrug deliveryRadiation therapyInflammationChemotherapyDiseaseLung cancer

Abstract

fetched live from OpenAlex

Up to 80% of patients with primary tumors of the breast, prostate or lung will develop bone metastases. Metastases to the spine cause severe pain, functional deficit and highly diminished health related quality of life through fracture, vertebral instability and spinal cord and nerve-root injury. This is also directly associated with high socioeconomic and healthcare costs. Resection of spine metastases leaves large bone defects which cannot self-repair and bone grafts are often needed yet insufficient to facilitate healing, tissue repair and local control of tumor burden. Despite extensive resection during surgery, some tumor cells can remain hidden and therefore drive cancer recurrence. Following resection and reconstruction, chemotherapy is often systemically administered in these patients resulting in many side-effects. These therapies often lack site specific efficacy and promote stress induced senescence resulting in chronic low-level inflammation in the tumor and surrounding stroma. This can result in therapy-resistance and further tumor progression, and new drugs are necessary to combat these events. Drug discovery is a long-term and costly endeavor, and more than 70% of new drugs fail to reach market due to limited advanced screening technology. Tissue engineering has emerged as an advanced strategy to apply biomaterials scaffolds, cells and biologics to mimic functional tissues such as tumor microenvironment. Developing new 3D physiological tissue as therapeutic screening tools provides a platform for screening new biomaterial local drug delivery devices. Such devices could allow more accurate drug screening scenario whereby the new therapies can reduce negative side-effects, promote bone repair and block cancer recurrence directly at the site of resection. Moreover, the proposed implantable drug delivery system could be adapted and applied to any tissue and cancer type. The main goal of this talk is to provide a historical overview of the progression of complex biofabricated 3D MSK tumor microenvironment models and how they've been used for screening and developing novel therapies, as well as a brief overview of state of the art. The talk will also focus on how our group is currently positioned to developing new models of bone metastasis for screening local therapy devices and novel senlolytic adjuvant therapies.

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)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
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 head0.036
GPT teacher head0.284
Teacher spread0.247 · 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 designNot applicable
Domainnot available
GenreReview

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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