Serum concentrations of IGF‐I, IGFBP‐3 and c‐peptide and risk of hyperplasia and cancer of the breast in postmenopausal women
Bibliographic record
Abstract
Experimental evidence suggests that insulin and insulin-related growth factors may play a role in breast pathology through their mitogenic and anti-apoptotic effects on breast cells. Our objective was to assess the relationship between serum concentrations of insulin-like growth factor-I (IGF-I), its major binding protein (IGFBP-3), the ratio IGF-I:IGFBP-3, c-peptide (a marker of insulin secretion) and the ratio c-peptide:fructosamine (a marker of insulin resistance) and the risk of epithelial hyperplasia (an established breast cancer risk factor) and localized breast cancer among postmenopausal women. Study subjects were patients who provided serum before breast biopsy or mastectomy in 3 hospitals in Grand Rapids, MI between 1977 and 1987. Two case groups, 186 subjects with epithelial hyperplasia of the breast and 185 subjects with localized breast cancer, were compared to 159 subjects with nonproliferative breast changes that have not been associated with increased breast cancer risk. Serum concentrations of IGF-I, IGFBP-3 and the ratio IGF-I:IGFBP-3 were not related to risk of either hyperplasia or breast cancer. For women in the highest quartile of c-peptide or of c-peptide:fructosamine compared to those in the lowest quartile, the odds ratios (ORs) for hyperplasia were 3.0 (95% confidence interval [CI] 1.4-6.5) and 3.3 (95% CI 1.5-7.3), respectively (p trend = 0.02 and 0.02, respectively). The corresponding ORs for breast cancer were 1.5 (95% CI 0.7-3.0) and 1.6 (95% CI 0.8-3.2), respectively (p trend = 0.35 and 0.25, respectively). Our results suggest that insulin and insulin resistance may play a role in breast pathology in postmenopausal women.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".