MétaCan
Menu
Back to cohort
Record W1999202349 · doi:10.1097/blo.0b013e31804856a1

Properties of the Stromal Cell in Giant Cell Tumor of Bone

2007· article· en· W1999202349 on OpenAlexaff
Michelle Ghert, Nicole Simunovic, Robert W. Cowan, Nigel Colterjohn, Gurmit Singh

Bibliographic record

VenueClinical Orthopaedics and Related Research · 2007
Typearticle
Languageen
FieldMedicine
TopicBone Tumor Diagnosis and Treatments
Canadian institutionsJuravinski Cancer Centre
Fundersnot available
KeywordsOsteonectinOsteopontinStromal cellOsteocalcinBone sialoproteinProteasesOsteoblastPathologyCell cultureCancer researchMedicineCell biologyBiologyImmunologyIn vitroAlkaline phosphataseBiochemistry

Abstract

fetched live from OpenAlex

The histiogenesis and mechanisms of bone destruction in giant cell tumor (GCT) of bone are not well understood. We asked whether the spindle-like stromal cells of GCT of bone exhibit osteoblastic properties, and whether the stromal cells produce active matrix-degrading proteases in vitro. We performed immunohistochemistry on 17 paraffin-embedded archival specimens with a pathologic diagnosis of GCT with monoclonal antibodies for the osteoblastic lineage markers osteopontin, osteonectin, and osteocalcin. The average staining grade for the 17 specimens was highest for osteonectin, followed by osteopontin, and osteocalcin. Primary cell cultures of GCT stromal cells were prepared from two fresh tumor specimens. Western blots were used on the cell lysates and media to detect osteocalcin precursor and the matrix-degrading proteases MMP-2 and MMP-9. We found the stromal cells in culture produce osteocalcin precursor, indicating osteoblastic lineage. The cells also express both the active and inactive isoforms of MMP-2 and MMP-9. Gelatinase assays confirmed the activity of the proteases in vitro. The spindle like stromal cells of GCT have characteristics of osteoblast progenitors and produce active matrix-degrading proteases. These cells may therefore play a central role in bone destruction.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.473

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.085
GPT teacher head0.386
Teacher spread0.302 · 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 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

Citations69
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueClinical Orthopaedics and Related ResearchSame topicBone Tumor Diagnosis and TreatmentsFrench-language works237,207