Swartz, Ryan Jonathan

Abstract 5-Fluorouracil (5FU)-based chemotherapy remains a front-line treatment for most patients with colorectal cancer. However, approximately 30% of patients who receive 5FU experience severe, life-threatening toxicity. Dihydropyrimidine dehydrogenase (DPD, DPYD gene) mediates the rate determining step in 5FU catabolism. Deleterious genetic variations in DPYD have been associated with elevated concentrations of circulating 5FU and significantly increased risk for 5FU toxicity. Five deleterious variants in DPYD have been identified as clinical biomarkers of toxicity and have led to prospective genotyping and differential dosing recommendations for carriers of these variants, as noted on recent updates to the FDA label for the 5-FU prodrug capecitabine. Our previous studies also established the importance of epigenetic control of DPD expression. In this study, we used existing epigenetic repositories to identify candidate enhancer elements for DPYD. We selected 20 novel high-priority putative enhancers for further study using a combination of reporter assays and CRISPRi applied across multiple cell models. Further studies will investigate means to target these regulatory mechanisms as a means to increase localized efficacy of 5-FU-based therapies in colorectal cancer. Citation Format: Hannah Marie Krause, Julia Magee, Kelly Bouchonville, Lauryn Allyn Hahn, Ryan Jonathan Swartz, Brianna Bembenek, Lulu Jiang, Steven M. Offer. Characterizing the critical role of enhancer-gene regulation in 5-fluorouracil toxicity and resistance [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 3140.

Abstract Dihydropyrimidine dehydrogenase (DPD, encoded by the DPYD gene) is the rate-limiting enzyme in the catabolism of the widely used chemotherapeutic drug 5-fluorouracil (5-FU). Genetic variations in DPYD are predictive biomarkers of 5-FU toxicity. One such biomarker, rs75017182 (the causal allele linked to the “HapB3” haplotype), has been suggested to promote alternative splicing of DPYD, leading to expression of an inactive proteoform. However, carriers of rs75017182 exhibit only moderately increased risk of 5-FU toxicity and modestly decreased ex vivo DPD activity compared to carriers of another well-studied splice variant, rs3918290 (*2A). We hypothesized that, unlike *2A, the rs75017182 variant does not cause obligate alternative splicing but instead promotes partial alternative splicing. To test this, we generated dual-fluorescent minigene reporter constructs containing either the G (wildtype) or C (variant) allele. In our minigene system, alternative splicing was elevated in cells transfected with C-containing vectors via flow cytometry, though levels were lower than those observed in a parallel *2A model. To investigate contributions of other variants in LD with rs75017182, we expanded the reporter to include additional relevant genomic regions. The analyses were complemented by the study of in vivo splicing in cells engineered to harbor various combinations of variants and in lymphoblastoid lines carrying specific genotype combinations. Overall, our findings demonstrate that rs75017182-C promotes only partial alternative splicing, eliciting a modest decrease in DPD activity and explaining its comparatively weak association with severe 5-FU toxicity. Additional variants in LD have a minimal impact on splicing and 5-FU sensitivity. Citation Format: Lauryn Allyn Hahn, Ryan Schwartz, Hannah Marie Krause, Lulu Jiang, Brianna Bembenek, Kelly Bouchonville, Steven M. Offer. Partial alternative splicing in carriers of DPYD rs75017182 explains modest association with severe 5-FU toxicity to 5-FU [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 3137.

Abstract 5-Fluorouracil (5-FU) is a widely prescribed chemotherapy for colorectal, breast, gastric, and head and neck cancers. The drug inhibits thymidylate synthase, blocking DNA synthesis and causing cytotoxic stress that halts tumor growth. However, patients carrying deleterious variants in DPYD, the gene encoding the rate-limiting enzyme in 5-FU metabolism (dihydropyrimidine dehydrogenase, DPD), can experience fatal toxicity due to impaired drug clearance and accumulation of 5-FU metabolites. Current pharmacogenetic screening guidelines in the U.S. recommend testing for few of the >2,000 nonsynonymous variants that have been reported for DPYD, leaving patients with rare, uncharacterized mutations at risk. To interpret expanded testing, however, a means to classify DPYD variants of unknown significance is needed. To address this, we developed MPACT-DPD, a random-forest-based classifier that accurately predicts the functional impact of DPYD missense variants. Our model was trained on in-vitro activity of 156 variants and leveraged a feature set of biochemical, evolutionary, and AlphaFold3-derived structural features. We optimized hyperparameters using ten-fold stratified cross-validation and evaluated model performance with Matthews correlation coefficient (MCC) to account for moderate class imbalance (7:3 neutral to deleterious). It achieved exceptional performance, with a Matthews correlation coeffient (MCC) of 0.906 and an accuracy of 95.1% on an independent validation set (n=43). Furthermore, a SHAP (SHapley Additive exPlanations)-based interpretability analysis revealed cofactor proximity and residue conservation as the key drivers of predictions. MPACT-DPD showed superior performance at variant classification against other tools, including a DPYD gene-specific variant classifier, and has the potential to expand pre-treatment genetic screening to improve the safety of personalized 5-FU-based chemotherapy. Citation Format: Lulu Jiang, Ryan Jonathan Swartz, Lauryn Allyn Hahn, Brianna Bembenek, Hannah Marie Krause, Kelly Bouchonville, Steven M. Offer. MPACT-DPD: An interpretable machine learning classifier for predicting the functional impact of DPYD missense variants [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 2712.