Development of a Dose-Adjusted Polygenic Risk Model for Anthracycline-Induced Cardiotoxicity
Bibliographic record
Abstract
BACKGROUND: Anthracyclines, which are effective chemotherapeutic agents, cause cardiac dysfunction in up to 57% of patients. The cumulative anthracycline dose is a crucial predictor of cardiotoxicity; however, the cumulative dose alone cannot explain all cardiotoxic events. Strongly associated genetic variants in SLC28A3 , UGT1A6 , and RARG contribute to anthracycline-induced cardiotoxicity in pediatric patients and may help identify those most susceptible. This study aimed to examine how these pharmacogenetic effects are modulated by cumulative anthracycline doses in the development of cardiotoxicity. METHODS: A total of 595 anthracycline-treated children were genotyped and cardiotoxicity cases were identified. A dose-stratified analysis was performed to compare the contributions of SLC28A3 rs7853758, UGT1A6 rs17863783, and RARG rs2229774 variants to the development of cardiotoxicity in low-dose (<150 mg/m 2 cumulative dose) and high-dose (>250 mg/m 2 cumulative dose) patient groups. Logistic regression was used to model the relationships between the cumulative anthracycline dose, genetic variants, and cardiotoxicity in the full cohort. RESULTS: At < 150 mg/m 2 cumulative anthracycline dose, the SLC28A3 protective variant did not reach statistical significance [odds ratio (OR) 0.46 (95% confidence interval (CI) 0.10-1.45), P = 0.23], but it was statistically significant at doses >250 mg/m 2 [OR 0.43 (95% CI 0.22-0.78), P = 0.0093]. Conversely, the UGT1A6 and RARG risk variants were either statistically significant or approaching significance at doses <150 mg/m 2 [OR 7.18 (95% CI 1.78-28.4), P = 0.0045 for UGT1A6 and OR 2.76 (95% CI 0.89-7.63), P = 0.057 for RARG ], but not at doses >250 mg/m 2 [OR 2.91 (95% CI 0.80-11.0), P = 0.10; OR 1.56 (95% CI 0.89-2.75), P = 0.12]. CONCLUSIONS: These findings suggest that the SLC28A3 variant imparts more significant protection for patients receiving higher anthracycline doses, whereas the UGT1A6 and RARG risk variants significantly increased the risk of cardiotoxicity at low anthracycline doses.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".