Clinical implementation and outcome evaluation of dihydropyrimidine dehydrogenase (DPYD) pharmacogenomic testing for fluoropyrimidine dosing in a Canadian Provincial Healthcare center
Bibliographic record
Abstract
BACKGROUND: 5-Fluorouracil (5-FU) and its pro-drug, capecitabine, are widely used to treat solid tumors. Patients with dihydropyrimidine dehydrogenase (DPYD) deficiency are at increased risk for severe treatment-related toxicity. This study reported the implementation of DPYD genotyping in clinical practice and assessed the impact of genotype-guided dosing on clinical outcomes. METHODS: An in-house pharmacogenomic testing using the Elucigene DPYD genotyping kit (Yourgene Health, UK) was established to detect the four most common clinically actionable DPYD alleles, including *2A, *13, HapB3 and c.2846A>T (rs67376798). Six months post-implementation, a retrospective chart review assessed genotype results, chemotherapy regimens, dose modifications, adverse events related to 5-FU or capecitabine, and demographics. Data were de-identified for analysis. RESULTS: Analytical validation of the DPYD assay showed 100 % sensitivity, specificity, accuracy, reproducibility, and repeatability. The genotyping workflow was successfully integrated into clinical practice, with a rapid turnaround time to meet oncology treatment planning. From July to December 2024, 299 patients underwent DPYD testing; variants were identified in 22 patients, including 20 patients (6.7 %) with clinically significant variants conferring a reduced DPD function and 2 patients with a variant (c.483 + 18G>A; rs56276561) that retains normal DPD function. Among those variants, HapB3 (n = 18) was the most frequent one, characterized by c.1129-5923C>G and c.1236G>A (rs75017182, rs56038477) co-occurring with c.483 + 18G>A (rs56276561). Of 233 patients receiving 5-FU-based chemotherapy, 13 were variant carriers. Genotype-guided dosing allowed early dose optimization, and all carriers completed at least three treatment cycles, with one severe adverse event attributed to oxaliplatin rather than 5-FU. CONCLUSIONS: This study reported the integration of DPYD pharmacogenomic testing into oncology care and evaluated the post-implementation clinical outcomes, highlighting the critical role of pharmacogenomic testing in optimizing cancer treatment and improving patient safety.
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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 | 0.014 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".