Comparison of the effects of nobiletin and letrozole on the activity and expression of aromatase in the MCF-7 breast cancer cell line
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Nobiletin (NOB) is one of the polymethoxyflavones mainly found in citrus fruits. Aromatase or cytochrome P450 (CYP19) enzyme catalyzes the last and rate-limiting step in estrogen biosynthesis. This study was carried out to investigate the effect of NOB on the activity and expression of aromatase, and to compare this property with letrozole (LET) as aromatase inhibitor in the MCF-7 breast cancer cell line. Cell viability was assessed with 3-(4,5-dimethylthiazol-2-yl)-2, 5-diphenyl tetrazolium bromide (MTT) assays. Aromatase enzyme activity based on the conversion of androgenic substrate testosterone into 17β-estradiol was determined. CYP19 gene expression was measured by quantitative real-time PCR. MTT assays demonstrated that NOB at a concentration of 100 μmol/L decreased cell viability in a time-dependent manner (P < 0.05). NOB significantly inhibited aromatase at the concentration of 0.1 μmol/L (P = 0.013), whereas other concentrations had no effect. Treatment with 10 μmol/L and 1 μmol/L of NOB for 48 h significantly increased (P = 0.001) and decreased (P = 0.02) relative aromatase expression, respectively. The combination of LET and NOB had no effect on aromatase. This study showed for the first time that NOB decreases the activity and expression of aromatase at low concentrations in MCF-7 breast cancer cells.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it