Complex Role of Circulating Triglycerides in Breast Cancer Onset and Survival: Insights From Two‐Sample Mendelian Randomization Study
Bibliographic record
Abstract
BACKGROUND: Reducing the incidence of breast cancer and improving its prognosis have become significant challenges for the global public health sector. We aimed to investigate the role of circulating triglycerides in the occurrence and survival of patients with breast cancer, while focusing on the possible differential effects by molecular subtypes of breast cancer. METHODS: We used a Mendelian randomization approach to analyze publicly accessible genome-wide association study data, including triglyceride levels, breast cancer risk, and survival prognosis. We performed a two-sample causality inference analysis using the inverse-variance weighted method. We used both Mendelian randomization-Egger regression and weighted median methods for model verification. Heterogeneity was evaluated using Cochran's Q test, and sensitivity analyses were performed using the leave-one-out method, Mendelian randomization-Egger intercept test, and Mendelian Randomization Pleiotropy RESidual Sum and Outlier test. RESULTS: The results revealed a negative causal relationship between triglyceride levels and overall breast cancer risk (odds ratio [OR] = 0.94, confidence interval [CI] = 0.89-0.99, p = 0.011), luminal A breast cancer risk (OR = 0.93, CI = 0.87-0.99, p = 0.014), and human epidermal growth factor receptor 2 (HER2)-enriched breast cancer risk (OR = 0.84, CI = 0.73-0.96, p = 0.010). However, no statistically significant correlations were observed for the luminal B, luminal B HER2-negative, and triple-negative subtypes. Furthermore, triglyceride levels showed a positive causal relationship with the risk of survival prognosis in patients with estrogen receptor-negative breast cancer (OR = 1.33, CI = 1.00-1.76, p = 0.047). However, no statistically significant impact was observed on the survival of patients with overall breast cancer or patients with estrogen receptor-positive, HER2-positive, and HER2-negative breast cancer. CONCLUSIONS: The potentially complex role of circulating triglycerides in the incidence and survival of patients with breast cancer provides a new perspective on the heterogeneity of the effects of triglycerides on breast cancer, thereby promoting the development of precise medical strategies. Moreover, our findings contribute to an increased understanding of overall health among patients and clinicians alike.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.073 | 0.115 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".