Abstract P037: Association between circulating osteoprotegerin levels and estimated risk of <i>BRCA1</i>-associated breast cancer
Bibliographic record
Abstract
Abstract Purpose: Dysregulation of the receptor activator of nuclear factor κB (RANK) pathway may contribute to the pathogenesis of BRCA1-associated breast cancer. Specifically, lower levels of osteoprotegerin (OPG), an endogenous inhibitor of RANK-ligand (RANKL) that competes with RANK for RANKL binding, have been reported among women with pathogenic or likely pathogenic variant (mutation) in the BRCA1 gene. It has been suggested that lower OPG levels may be associated with an increased risk of breast cancer, proposing that OPG may serve as a biomarker for breast cancer risk. Whether OPG is associated with estimated breast cancer risk remains unknown. The goal of this study was to evaluate the relationship between OPG and the estimated risk of breast cancer in women with a BRCA1 mutation. Methods: Women were eligible for inclusion if they had a BRCA1 mutation, were between ages 18 and 79, had a pedigree, had no prior history of cancer, had not undergone prophylactic bilateral mastectomy and provided a blood sample available for OPG analysis. Detailed information on various risk factors (i.e., reproductive, hormonal, family history) was collected using biennial questionnaires. An enzyme-linked immunosorbent assay was used to quantify serum OPG levels (pg/mL). Risk of breast cancer was estimated using Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm version 6 incorporated in the CanRisk tool. The relationship between OPG and estimated lifetime (up to age 80) and ten-year (age 40–50) risks of breast cancer was evaluated using quantile regression analyses. Analyses were further stratified by age (≤50 vs &gt;50 years). Results: A total of 539 women were included in the analysis. The median age at blood collection was 39 years (18–77 years). For lifetime breast cancer risk, a 1 standard deviation (SD; 38.40 pg/ml) increase in OPG level was associated with a 5.4% lower risk at the 25th percentile (P ≤ 0.001), a 4.2% lower risk at the 50th percentile (P ≤ 0.001), and a 1.5% lower risk at the 75th percentile (P ≤ 0.001). For ten-year breast cancer risk, a 1 SD increase in OPG level was associated with a 1.2% lower risk at the 25th percentile (P ≤ 0.001), a 0.8% lower risk at the 50th percentile (P ≤ 0.001), and a 0.8% lower risk at the 75th percentile (P = 0.005). The association between OPG and both estimated risks did not vary in the analysis stratified by age (≤50 vs &gt;50 years). Conclusion: Higher circulating OPG levels were associated with significantly lower estimated lifetime and ten-year risks of BRCA1-associated breast cancer. These associations were stronger for women at a lower risk of developing lifetime breast cancer. Further research is needed to determine whether integrating circulating OPG levels can improve existing risk prediction models. These data contribute to ongoing interest in the role of RANK signaling in mammary tumorigenesis. Inhibiting RANK signaling may therefore be a potential target for breast cancer prevention in women with a BRCA1 mutation and other high-risk populations. Citation Format: Sarah S. Park, Tasnim Zaman, Shana J. Kim, Jennifer D. Brooks, Andy K. O. Wong, Jan Lubiński, Steven A. Narod, Leonardo Salmena, Joanne Kotsopoulos. Association between circulating osteoprotegerin levels and estimated risk of BRCA1-associated breast cancer. [abstract]. In: Proceedings of the AACR Special Conference: Precision Prevention, Early Detection, and Interception of Cancer; 2022 Nov 17-19; Austin, TX. Philadelphia (PA): AACR; Can Prev Res 2023;16(1 Suppl): Abstract nr P037.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".