Frequency of vitamin D (Vit D) deficiency at breast cancer (BC) diagnosis and association with risk of distant recurrence and death in a prospective cohort study of T1–3, N0–1, M0 B
Bibliographic record
Abstract
511 Background: Vit D acts through a nuclear transcription factor to regulate many aspects of cellular growth and differentiation. Low levels have been associated with increased BC risk. We examined Vit D levels and prognostic effects in an existing BC cohort. Methods: 512 consecutive women with newly diagnosed BC were enrolled at 3 U of Toronto hospitals between 1989 and 1995. A blood specimen obtained at diagnosis was stored at −80°C. The Block questionnaire was used to measure diet intake. Clinical and pathology data were obtained from medical and pathology records. 25-OH Vit D was measured by radioimmunoassay. Women were followed prospectively to 2006. Results: Mean age was 50.4±9.7 yrs. 288 women had T1 tumors, 164 T2 and 24 T3/4. 356 tumors were N0. 342 were estrogen receptor (ER) positive. 73 tumors were grade 1, 202 grade 2 and 173 grade 3. 199 women received adjuvant chemotherapy (CXT) and 200 received tamoxifen. 116 women (22.7%) had distant recurrences and 106 (20.7%) died during a median follow-up of 11.6 yrs. Mean 25-OH Vit D was 58.1±23.4 nmol/L. Vit D levels were deficient (<50 nmol/L) in 192 (37.5%), insufficient (50–72 nmol/L) in 197 (38.5%) and adequate (>72 nmol/L) in 123 (24.0%). Low Vit D levels were associated with premenopausal status, high body mass index (BMI), high insulin and high tumor grade (all p≤0.03). Low Vit D levels were associated with low dietary intake of retinol, Vitamin E, grains and alcohol (all p<0.02). Vit D was marginally lower when drawn in winter (Oct-Mar) vs summer (Apr-Sept) months (56.7 vs 59.5 nmol/L, p=0.07). Distant disease-free survival (DDFS) was significantly worse in women with deficient (vs adequate) Vit D levels (HR 1.94, 95% CI 1.16–3.24, p=0.02) as was overall survival (OS) (HR 1.73, 95% CI 1.05–2.86, p=0.02). Vit D associations with DDFS were independent of age, BMI, insulin, T and N stage, ER and grade (all HR ≥1.55 Q1 vs Q4, all p ≤ 0.04); they were not significantly modified by ER, adjuvant CXT or tamoxifen. Vit D associations with OS were attenuated by grade and were absent in ER negative BC. Conclusions: Vit D deficiency is common at BC diagnosis and is associated with poor prognosis. This research was funded by the Breast Cancer Research Foundation. No significant financial relationships to disclose.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".