Metformin in early breast cancer (BC): A prospective, open-label, neoadjuvant “window of opportunity” study.
Bibliographic record
Abstract
1019 Background: There is growing evidence that metformin may exert anti-cancer effects through indirect (insulin-mediated) or direct (insulin-independent) mechanisms. Here, we report final results of a neo-adjuvant “window-of-opportunity” study of metformin in women with operable BC. Methods: Newly diagnosed, untreated, non-diabetic BC patients received metformin 500 mg tid after diagnostic core-biopsy until definitive surgery(no other treatment). Clinical [weight, symptoms, European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC-QLQ-C-30)] and biologic characteristics [insulin, glucose, homeostatic model assessment (HOMA), C-reactive protein (CRP), leptin] were compared pre- and post-metformin as were Terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling (TUNEL, an apoptotic marker) and Ki67 (primary end-point) scored blinded by manual count of positive nuclear-staining. The planned sample-size of 40 patients gave 90% power to detect a 5.5 percentage point change in Ki67. Results: Thirty-nine patients were enrolled and mean age was 51 years; metformin was given for 18 days (median), range 13-40 days. Twenty patients had T1 and 19 T2/T3 tumors; 16 tumors were grade III; 24 were N0; 32 ER/PR positive, 5 HER-2 positive. Grade 1-2 self-limiting diarrhea, anorexia and abdominal distention occurred in 50%, 41% and 32%. EORTC QLQ scores were stable in all function domains and overall scores. Main study outcomes are tabulated here. Conclusions: Short-term preoperative metformin was well-tolerated and resulted in clinical and cellular effects in keeping with beneficial anti-cancer effects as demonstrated by improved insulin resistance (HOMA), decreased proliferation (ki67) and increased apoptosis (TUNEL). [Table: see text]
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".