MétaCan
Menu
Back to cohort
Record W2041637198 · doi:10.1002/jor.20371

Expression of major vault protein gene in osteosarcoma patients

2007· article· en· W2041637198 on OpenAlexaff
Cristiane Arruda Dalla‐Torre, Sílvia Regina Caminada de Toledo, Maisa Yoshimoto, Antônio Sérgio Petrilli, Joyce Anderson Duffles Andrade, Susan Chilton‐MacNeill, Jeremy A. Squire, Maria Zieleńska

Bibliographic record

VenueJournal of Orthopaedic Research® · 2007
Typearticle
Languageen
FieldMedicine
TopicCholangiocarcinoma and Gallbladder Cancer Studies
Canadian institutionsHospital for Sick ChildrenPrincess Margaret Cancer CentreUniversity of TorontoOntario Institute for Cancer Research
Fundersnot available
KeywordsOsteosarcomaChemotherapyMedicineDrug resistanceCancerGene expressionGeneCancer researchDiseasePathologicalOncologyPathologyInternal medicineBiologyGenetics

Abstract

fetched live from OpenAlex

Osteosarcoma (OS) is a primary malignant tumor of bone. Despite the successful use of multiple chemotherapeutic agents in the treatment of OS, more than 30% of OS tumors remain resistant to treatment. Elucidation of cellular resistance mechanisms may lead to better treatments for cancer patients. In this study, we used the low-density expression cDNA array, GEArray Q Series Human Cancer Drug Resistance and Metabolism Gene Array to screen genes related to drug resistance in 15 OS tumors. Expression patterns of the MPV gene were validated by real time PCR on 45 OS patient tumor samples and correlated with clinical and pathological data. Major vault protein (MVP) expression was present in 24 (53%) tumor samples and absent in 21 (47%). Samples from surgery showed correlation between the expression of MVP, metastatic disease at diagnosis and event free survival (EFS). The MVP gene expression correlates with metastatic disease at diagnosis after neoadjuvant chemotherapy (p=0.048), and is also associated with worse EFS (p=0.036). These findings suggest that MVP expression is involved in one of the mechanisms of drug resistance in OS and is induced by chemotherapy.

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)0.003
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 score0.018
Threshold uncertainty score0.335

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.044
GPT teacher head0.353
Teacher spread0.310 · 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

Citations13
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Orthopaedic Research®Same topicCholangiocarcinoma and Gallbladder Cancer StudiesFrench-language works237,207