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Record W1929032179 · doi:10.1093/clinchem/46.6.887

Genistein: A Potent Natural Antiandrogen

2000· letter· en· W1929032179 on OpenAlexaff
Rachel S Rosenberg Zand, David Jenkins, Eleftherios P. Diamandis

Bibliographic record

VenueClinical Chemistry · 2000
Typeletter
Languageen
FieldMedicine
TopicPhytoestrogen effects and research
Canadian institutionsUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsAntiandrogenGenisteinMedicineChemistryInternal medicineProstate cancerCancer

Abstract

fetched live from OpenAlex

Flavonoids and other polyphenolic natural compounds have attracted much attention as candidate cancer preventive and anticarcinogenic agents, as well as antiatherogenic and antioxidant compounds (1). Although the public now consumes these compounds in substantial amounts from dietary sources, food supplements, and more recently, as “nutraceutical” tablets, their actual mode of action is not fully defined. The most compelling hypotheses correlate the biological action of flavonoids to their ability to mimic natural estrogens (2)(3) such as estradiol, or to act as antioxidants (4). Indeed, genistein, a natural soy isoflavone, is among the most potent known phytoestrogens. The ability of flavonoids to act as androgen mimics or antiandrogens has attracted much less attention. Recently, we showed that apigenin, a natural flavone found in chamomile, olive leaves, and other plant sources, has potent progestational activity (5). We have examined the possible antiandrogenic activity of genistein using the steroid hormone receptor-positive breast cancer cell line BT-474. This cell line, when stimulated by dihydrotestosterone (DHT), produces prostate-specific antigen (PSA), which is then secreted into the tissue culture supernatant and can be measured quantitatively by immunoassay. Details of this system are given elsewhere (5). To study the antiandrogenic activity, the cells were first exposed to the putative antiandrogen (10−5 to 10−8 mol/L) for 1 h and then stimulated with DHT (10−9 mol/L). Controls with only antiandrogen or only DHT were included in all experiments. Nilutamide was used as a control antiandrogen. Our data (Fig. 1 ) clearly demonstrate the potent antiandrogenic activity of genistein, which is dose-dependent and is detectable down to 10−7 mol/L. Quercetin and several other flavonoids tested were devoid of such activity (data not shown). These data clearly demonstrate for the first time that genistein exhibits potent antiandrogenic activity in addition to its well-established estrogenic activity. Indeed, the therapeutic potential of this compound in prostate cancer patients may be related to its combined estrogenic and antiandrogenic properties. It will be interesting to examine large numbers of natural compounds for antiandrogenic activity, which may qualify them as candidate therapeutic and preventive agents for prostate, breast, and possibly other hormonally dependent cancers. Percentage of blocking of DHT, as measured by PSA production, by genistein, quercetin, and nilutamide. BT-474 human breast cancer cells were grown to confluency in phenol-free RPMI (Life Technologies) supplemented with 100 mL/L fetal calf serum, 10 g/L insulin, and 200 mmol/L l-glutamine at 37 °C in 5% CO2. Once confluent, they were subcultured in 24-well microtiter plates using the same medium but with substitution of charcoal-stripped fetal calf serum for the regular fetal calf serum. The cells were stimulated with candidate blocker [genistein (♦), quercetin (▦), or nilutamide (▵)], blocker and steroid (DHT), or steroid alone. Blockers were tested at concentrations of 10−5 to 10−8 mol/L, and DHT was used at 10−9 mol/L. For the cells stimulated with blocker and steroid, the blocker was added first and incubated for 1 h; the cells were then stimulated with steroid. Alcohol was used as a negative control. The plates were then incubated for 7 days, at which time the tissue supernatants were harvested. The supernatants were then analyzed quantitatively for PSA. Blocking activity was assessed by dividing the amount of PSA produced by the candidate blocker + steroid and by steroid alone and multiplying by 100. None of the candidate blockers induced any PSA production when added alone.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.008
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0080.005
Insufficient payload (model declined to judge)0.0040.006

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 head0.043
GPT teacher head0.379
Teacher spread0.337 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations23
Published2000
Admission routes1
Has abstractyes

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