Low Levels of Circulating Adiponectin Are Associated with Multiple Myeloma Risk in Overweight and Obese Individuals
Bibliographic record
Abstract
The association between obesity and multiple myeloma risk may be partly attributed to reduced circulating levels of adiponectin in obese individuals. To prospectively evaluate multiple myeloma risk in relation to adiponectin levels overall and stratified by body mass index and other characteristics, we conducted a pooled investigation of pre-diagnosed peripheral blood samples from 624 multiple myeloma cases and 1,246 individually matched controls from seven cohorts participating in the Multiple Myeloma Cohort Consortium. Analysis of circulating analyte levels measured by ELISA revealed that higher total adiponectin levels were associated with reduced multiple myeloma risk overall [highest quartile vs. lowest: OR, 0.64; 95% confidence interval (CI) 0.47-0.85; Ptrend = 0.001]. This association was apparent among cases diagnosed six or more years after blood collection (OR, 0.60; 95% CI, 0.40-0.90; Ptrend = 0.004) and was similar in magnitude for men and women (OR, 0.59 and 0.66, respectively). Interestingly, we observed strong associations among subjects who were overweight (OR, 0.41; 95% CI, 0.26-0.65) or obese (OR, 0.41; 95% CI, 0.17-0.98) but not among those with normal weight (OR, 1.20; 95% CI, 0.73-2.00; overweight/obese vs. normal weight, Pinteraction = 0.04). Our findings provide the strongest epidemiologic evidence to date that adiponectin protects against multiple myeloma development, particularly among overweight and obese individuals, and offer a method for risk assessment in this susceptible population of heavier patients. Cancer Res; 76(7); 1935-41. ©2016 AACR.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".