Abstract P1-02-03: Circulating inflammatory markers, growth factors, and tumor associated antigens in women with early stage breast cancer receiving neoadjuvant metformin
Bibliographic record
Abstract
Abstract Background: Numerous clinical studies have reported that diabetic patients receiving metformin exhibit decreased cancer incidence and cancer related mortality. Metformin's mechanism of anti-tumor action has been attributed to both direct effects on cancer cells and systemic changes in insulin metabolism. Indeed, metformin reduces circulating insulin levels, which may be integral to its effectiveness in the breast cancer (BC) setting where hyperinsulinemia is associated with both recurrence and death. While the impact of metformin on blood glucose and insulin is well documented, its effects on other systemic physiologic and inflammatory factors are unknown. We completed a neoadjuvant "window of opportunity" study of metformin in non-diabetic women with BC and a series of analyses were performed on plasma samples to assess the impact of metformin on circulating inflammatory markers, growth factors, and tumor associated antigens. Methods: Non-diabetic women with early stage, untreated BC were given metformin 500 mg tid for ≥2 weeks post diagnostic core biopsy until surgery. Fasting blood was collected at diagnosis and surgery to assess circulating markers pre- and post-metformin administration. Plasma was isolated from blood samples and evaluated for CRP, TNF-alpha, IL-6, IL-8, VEGF, EGF, PlGF (placenta growth factor), CA15-3, and SHBG (sex hormone binding globulin). Change scores (post-metformin minus pre-) were calculated and the degree of change characterized by the median change and the rank-biserial correlation. The Wilcoxon signed-rank test was used to test the null hypothesis that the change scores were symmetrically distributed around zero versus more positive or negative change. Results: A total of 39 patients (mean age 51 years) completed the study and received metformin for a median of 18 days (range 13-40). Metformin was associated with changes in the levels of growth factors, with increases seen in EGF (median increase 1.1 pg/mL, r=0.42, p=0.027) and VEGF (1.7 pg/mL, r=0.31, p=0.09). A reduction in PlGF levels (-0.18 pg/mL, r=-0.6, p=0.0028) was also observed. The tumor associated antigen CA15-3 was significantly reduced after metformin treatment (-0.4 pg/mL, r=-0.56, p=0.0024) and a marker of sex hormone bioavailability (SHBG) was increased (2 nM, r=0.30, p=0.1). For circulating inflammatory markers, a significant increase in the levels of IL-8 (0.8 pg/mL, r=0.36, p=0.048) was observed, but changes in TNF-alpha and IL-6 were minimal (TNF-alpha 0.2 pg/mL, r=0.20, p=0.29; IL-6 0.1 pg/mL, r=0.14, p=0.46) and no change was seen in CRP (0 mg/L, r=-0.05, p=0.93). Conclusions: Short-term metformin administration was associated with alterations in systemic physiologic and inflammatory factors. Such increases in circulating cytokines and growth factors indicate possible alterations in the inflammatory state of the host and/or tumor. Of note, the reduction seen in the tumor antigen CA15-3 may reflect a disease-modifying effect of metformin in BC. The authors wish to acknowledge the generous support of the Hold'Em For Life Charity Challenge and the Breast Cancer Research Foundation. Citation Format: Dowling RJ, Niraula S, Chang MC, Ennis M, Stambolic V, Goodwin PJ. Circulating inflammatory markers, growth factors, and tumor associated antigens in women with early stage breast cancer receiving neoadjuvant metformin [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P1-02-03.
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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 | 0.000 | 0.001 |
| 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) | 0.001 | 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 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".