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CCN3/NOV as a functional driver and prognostic biomarker of prostate cancer bone metastasis.

2019· article· en· W2922677067 on OpenAlexaff
Véronique Ouellet, Matthew Dankner, Laudine Desreumaux-Communal, Estelle Schmitt, Dru Perkins, Matthew G. Annis, Véronique Barrès, Christine Caron, Anne‐Marie Mes‐Masson, Fred Saad, Peter M. Siegel

Bibliographic record

VenueJournal of Clinical Oncology · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective Tissue Growth Factor Research
Canadian institutionsOccupational Cancer Research CentreMcGill University Health CentreMcGill UniversityCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsProstate cancerMedicineBone metastasisMetastasisLNCaPCancer researchImmunohistochemistryTissue microarrayIn vivoPathologyEx vivoCancerInternal medicineBiology

Abstract

fetched live from OpenAlex

182 Background: Prostate cancer commonly metastasizes to the bone, resulting in pathological fractures and poor prognosis. CCN3/NOV (Nephroblastoma overexpressed) has been implicated in promoting the formation of osteolytic prostate cancer (PC) bone metastases. The C-terminal domain of CCN3 binds growth factors, heparin sulfate proteoglycans, activates Notch signaling and promotes dimerization of CCN family members. We hypothesize that the CCN3 CT domain is required to promote osteolytic PC bone metastasis and that CCN3 represents a prognostic biomarker in primary PC tumors to predict recurrence to bone. Methods: CCN3 WT and CCN3 ∆CT were overexpressed in LNCaP C4-2 cells. The role of CCN3 was assessed with in vitro proliferation, migration and invasion assays, and in vivo through intracardiac injection in male Nude mice (Nu/Nu). Ex vivo µCT scans were performed on bone specimens. CCN3 expression was assessed in two unique tissue microarrays (TMA) comprising over 1,500 primary prostate tumor using different anti-CCN3 antibodies with immunohistochemistry and immunohistofluorescnece, respectively. Results: While CCN3 WT and CCN3 ∆CT had little effect in vitro on cell proliferation, migration or invasion, intracardiac injection of CCN3 WT resulted in increased incidence of bone metastasis compared to empty vector control and CCN3 ∆CT . Ex vivo µCT revealed decreased bone mineral density in bones from mice injected with CCN3 WT cells compared to control and CCN3 ∆CT expressing cells. In both TMAs studied, high CCN3 expression in tumor epithelium correlated with increased risk of biochemical relapse and bone metastasis at 5 years and 15 years post-resection, respectively. Conclusions: CCN3 requires its C-terminal domain for its bone metastatic function, and CCN3 is correlated with aggressive disease biology in prostate cancer. These findings point to CCN3 as a biomarker that can be useful to predict prostate cancer aggressiveness, while providing clarity on its role as a functional mediator of prostate cancer bone metastasis.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.174
Threshold uncertainty score0.426

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.098
GPT teacher head0.453
Teacher spread0.355 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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