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Abstract 3134: CCN3 is a prognostic biomarker and functional mediator of prostate cancer bone metastasis

2019· article· en· W2954662627 on OpenAlexaff
Matthew Dankner, Véronique Ouellet, 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

VenueClinical Research (Excluding Clinical Trials) · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective Tissue Growth Factor Research
Canadian institutionsOccupational Cancer Research CentreCentre Hospitalier de l’Université de MontréalMcGill University
Fundersnot available
KeywordsProstate cancerMediatorBone metastasisMedicineMetastasisOncologyBiomarkerInternal medicineCancer researchCancerBiology

Abstract

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Background: Prostate cancer commonly metastasizes to the bone, resulting in pathological fractures and poor prognosis. CCN3/NOV (Nephroblastoma overexpressed) is a secreted protein with a known role in breast cancer metastasis to bone. However, in prostate cancer, CCN3 has been ascribed conflicting roles; some studies suggest that CCN3 promotes prostate cancer metastasis while others argue a tumor suppressor role for CCN3 in this disease. Indeed, in the latter context, CCN3 has been shown to sequester the androgen receptor (AR) and suppress AR signaling. The C-terminal domain of CCN3 is thought to mediate many the protein’s pro-metastatic functions given its role in binding to growth factors and promoting 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: CCN3WT and CCN3ΔCT 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 murine bone metastasis specimens. CCN3 expression was assessed in two unique tissue microarrays (TMA) comprising over 1500 human primary prostate tumor using different anti-CCN3 antibodies with immunohistochemistry and immunohistofluorescnece, respectively.Results: While CCN3WT and CCN3ΔCT had little effect in vitro on cell proliferation, migration or invasion, intracardiac injection of CCN3WT resulted in increased incidence of bone metastasis compared to empty vector control and CCN3ΔCT. Ex vivo µCT revealed decreased bone mineral density in bones from mice injected with CCN3WT cells compared to empty vector control and CCN3ΔCT expressing LNCaP C4-2 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- surgical resection, respectively.Conclusion: CCN3 requires its C-terminal domain for its bone metastatic function, and CCN3 is correlated with aggressive disease biology in primary prostate cancer specimens. These findings point to CCN3 protein expression as a biomarker that can be useful in predicting prostate cancer aggressiveness and recurrence to bone, while providing clarity on CCN3’s functional role as a mediator of prostate cancer bone metastasis.Citation Format: Matthew Dankner, Veronique Ouellet, Laudine Desreumaux-Communal, Estelle Schmitt, Dru Perkins, Matthew G. Annis, Veronique Barres, Christine Caron, Anne-Marie Mes-Masson, Fred Saad, Peter M. Siegel. CCN3 is a prognostic biomarker and functional mediator of prostate cancer bone metastasis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3134.

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)0.064
metaresearch head score (Gemma)0.161
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0640.161
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.584
GPT teacher head0.599
Teacher spread0.015 · 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; both teacher heads agree on what is shown here.

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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