MétaCan
Menu
← Back to cohort
Record W2900038271

Inhibition of skeletal metastasis in prostate cancer growth by S-adenosylmethionine (SAM) and methyl binding domain protein 2 (MBD2) knockdown.

2007· article· en· W2900038271 on OpenAlexaff
Nicholas Shukeir, Moshe Szyf, Shafaat A. Rabbani

Bibliographic record

VenueCancer Research · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsMcGill University
Fundersnot available
KeywordsCancer researchGene knockdownMetastasisLNCaPProstate cancerBiologyTumor progressionGene silencingCancerCancer cellIntravasationCell cultureGene
DOInot available

Abstract

fetched live from OpenAlex

1167 During prostate cancer progression high levels of expression of growth factors and proteases play an important role in tumor growth, invasion and skeletal metastasis; often seen in patients with late stage hormone refractory prostate cancer (HRPC). Urokinase (uPA) plays an important role due to its ability to breakdown extracellular matrix to facilitate tumor invasion and metastasis. We hypothesized that global demethylation, a common epigenomic process, co-activates prometastatic genes in metastatic cancer. Studies carried out in our laboratory have shown the differential expression of uPA in human prostate cancer cells representing early (LnCAP) and late stage (PC-3) disease due to total demethylation of the uPA promoter in PC-3 cells. In the current study, we aim to evaluate the effect of changing the methylation status of the uPA promoter in PC-3 cells and its effect on tumor growth and skeletal metastasis. Towards these goals, PC-3 cells were treated with different doses of the universal methylating agent SAM or transfected with MBD2 antisense oligonucleotides (AS). The inactive homologue of SAM (SAH) and scrambled oligonucleotides (S) were used as control. Treatment of PC-3 cells with SAM or MBD2 knockdown resulted in a dose dependent inhibition in the levels of uPA mRNA expression resulting in a significant decrease in tumor cell invasive capacity. Additional genes involved in tumor progression including MMP-2 and VEGF were also downregulated. No change was observed in the levels of expression of genes known to be partially or fully methylated in HRPC such as GSTP1 and androgen receptor (AR). For in vivo studies, male Balb c nu/nu mice were inoculated with control and experimental cells via subcutaneous route or directly into tibia. Animals receiving cells treated with SAM and AS oligo developed tumors of significantly smaller volume (70%) compared to animals receiving untreated or S oligo transfected cells. In other studies, all animals inoculated with control cells into tibia developed skeletal lesions while animals injected with experimental cells either failed (90%) to develop or developed (10%) lesions of markedly smaller area as determined by X-ray using Faxitron, micro CT and bone histomormphometric analysis. Analysis of affiymetrix microarray of control, SAM and MBD2 treated PC-3 cells showed a significant reduction in the levels of expression of genes coding several factors and their receptors which are involved in tumor growth and skeletal metastasis. Change in the levels of expression of these genes was confirmed and the role of DNA methylation established by bisulfite sequencing. Results from these studies will elucidate the role of DNA demethyaltion in prostate cancer progression and its propensity to metastasize to skeleton which will help in developing new diagnostic, prognostic and therapeutic strategies for patients with HRPC.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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

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 head0.028
GPT teacher head0.369
Teacher spread0.340 · 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 designBench or experimental
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

Citations0
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueCancer Research→Same topicEpigenetics and DNA Methylation→French-language works237,207→