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Elevated physiological levels of folic acid can increase <i>in vitro</i> growth and invasiveness of prostate cancer cells

2011· article· en· W1850188885 on OpenAlexaff
Lars F. Petersen, Nigel T. Brockton, Ashraf Bakkar, Shuhong Liu, Jing Wen, Aalim M. Weljie, Tarek A. Bismar

Bibliographic record

VenueBritish Journal of Urology · 2011
Typearticle
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsAlberta Health ServicesCalgary Laboratory ServicesUniversity of Calgary
Fundersnot available
KeywordsSarcosineDU145LNCaPProstate cancerCancer cellCancer researchCell growthMetabolomeProstateCancerBiologyInternal medicineChemistryBiochemistryMedicineMetaboliteGlycineAmino acid

Abstract

fetched live from OpenAlex

What's known on the subject? and What does the study add? Evidence has emerged identifying folic acid supplementation as a potential risk factor for cancer development or progression. Long‐term folic acid supplementation has been shown to increase the risk of prostate cancer development by three‐fold. Sarcosine is a byproduct of folate metabolism and has been proposed as a biomarker for aggressive prostate cancer phenotypes. We looked at the effects of physiologically relevant levels of folic acid on in vitro prostate cancer cell growth and invasion, and demonstrated that higher levels can have the effect of increasing both of these biological processes. We also show that these changes toward a more aggressive phenotype are not linked to increased sarcosine levels, however other metabolic pathways may be involved. OBJECTIVES To investigate the effects of different folic acid concentrations on the growth and invasiveness of prostate cancer cell lines. To determine if observed changes are correlated with changes in levels of the potential prostate cancer biomarker, sarcosine, a byproduct of folate metabolism. MATERIALS AND METHODS The prostate cancer cell lines PC‐3, LNCaP and DU145 were cultured in media containing 4, 20 or 100 n m of folic acid and assayed for growth over 9 days by counting viable cells at 3‐day intervals, or for invasion by passage through a Matrigel‐coated transwell membrane. Cells grown in the different folic acid media were collected and subjected to metabolomic analysis by gas chromatography and mass spectrometry to measure levels of intracellular sarcosine. RESULTS The results show that higher levels of folic acid can increase cell growth in PC‐3 and LNCaP prostate cancer cell lines, and may also increase the invasive capacity of PC‐3, LNCaP and DU145 cells. We did not observe a correlation between increased invasion from higher folic acid concentrations and levels of sarcosine, but there were significant changes in other metabolites in cells grown in higher levels of folic acid. CONCLUSION These findings suggest that folic acid has an important and potentially negative role in prostate cancer progression.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.404
Threshold uncertainty score0.418

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.034
GPT teacher head0.274
Teacher spread0.239 · 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 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

Citations36
Published2011
Admission routes1
Has abstractyes

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