Pharmacogenomic-guided dosing of fluoropyrimidines beyond DPYD: time for a polygenic algorithm?

MIR27A rs895819 CC Genotype Severely Reduces miR-27a Plasma Expression Levels

Background/Objectives:MIR27A rs895819 polymorphism has emerged as a potential additional pharmacogenomic marker of fluoropyrimidine response. Current evidence on its potential effect on miR-27a expression, which represses DPD activity, leading to DPD deficiency and increased fluoropyrimidine-associated toxicity risk, is scarce and inconsistent. We have analyzed the effect of MIR27A rs895819 polymorphism on miR-27a-3p plasma expression levels under different models of inheritance to contribute further evidence on its plausible biological role in miR-27a expression. Methods: A total of 59 individuals with no medical history of cancer were included in this study. MIR27A rs895819 genotyping and miR-27a-3p expression were analyzed by using predesigned TaqMan assays. Results: The frequency of TT, TC, and CC genotypes was present at a prevalence of 50.8%, 44.1%, and 5.1%, respectively. Individuals carrying the CC genotype presented with decreased miR-27a-3p expression (0.422 fold-change versus TT, p = 0.041; 0.461 fold-change versus TC, p = 0.064), whereas no differences were present between TT and TC individuals (1.092 fold-change, p = 0.718). miR-27a-3p expression was decreased in CC individuals under a recessive model of inheritance (0.440 fold-change, p = 0.047). No differences were found in dominant (TT vs. TC+CC, 0.845 fold-change, p = 0.471) or over dominant (TT+CC vs. TC, 0.990 fold-change, p = 0.996) models of inheritance. Conclusions:MIR27A rs895819CC genotype leads to severely reduced miR-27a-3p expression in plasma. Further study of this association is warranted in cancer patients to apply MIR27A genotyping in therapeutics to identify fluoropyrimidine-treated patients who are at a decreased risk of experiencing fluoropyrimidine-induced severe toxicity.

Pharmacogenetics of DPYD and treatment-related mortality on fluoropyrimidine chemotherapy for cancer patients: a meta-analysis and trial sequential analysis

BACKGROUND

Fluoropyrimidines are chemotherapy drugs utilized to treat a variety of solid tumors. These drugs predominantly rely on the enzyme dihydropyrimidine dehydrogenase (DPD), which is encoded by the DPYD gene, for their metabolism. Genetic mutations affecting this gene can cause DPYD deficiency, disrupting pyrimidine metabolism and increasing the risk of toxicity in cancer patients treated with 5-fluorouracil. The severity and type of toxic reactions are influenced by genetic and demographic factors and, in certain instances, can result in patient mortality. Among the more than 50 identified variants of DPYD, only a subset has clinical significance, leading to the production of enzymes that are either non-functional or impaired. The study aims to examine treatment-related mortality in cancer patients undergoing fluoropyrimidine chemotherapy, comparing those with and without DPD deficiency.

METHODS

The meta-analysis selected and evaluated 9685 studies from Pubmed, Cochrane, Embase and Web of Science databases. Only studies examining the main DPYD variants (DPYD*2A, DPYD p.D949V, DPYD*13 and DPYD HapB3) were included. Statistical Analysis was performed using R, version 4.2.3. Data were examined using the Mantel-Haenszel method and 95% CIs. Heterogeneity was assessed with I2 statistics.

RESULTS

There were 36 prospective and retrospective studies included, accounting for 16,005 patients. Most studies assessed colorectal cancer, representing 86.49% of patients. Other gastrointestinal cancers were evaluated by 11 studies, breast cancer by nine studies and head and neck cancers by five studies. Four DPYD variants were identified as predictors of severe fluoropyrimidines toxicity in literature review: DPYD*2A (rs3918290), DPYD p.D949V (rs67376798), DPYD*13 (rs55886062) and DPYD Hap23 (rs56038477). All 36 studies assessed the DPYD*2A variant, while 20 assessed DPYD p.D949V, 7 assessed DPYD*13, and 9 assessed DPYDHap23. Among the 587 patients who tested positive for at least one DPYD variant, 13 died from fluoropyrimidine toxicity. Conversely, in the non-carrier group there were 14 treatment-related deaths. Carriers of DPYD variants was found to be significantly correlated with treatment-related mortality (OR = 34.86, 95% CI 13.96-87.05; p < 0.05).

CONCLUSIONS

This study improves our comprehension of how the DPYD gene impacts cancer patients receiving fluoropyrimidine chemotherapy. Identifying mutations associated with dihydropyrimidine dehydrogenase deficiency may help predict the likelihood of serious side effects and fatalities. This knowledge can be applied to adjust medication doses before starting treatment, thus reducing the occurrence of these critical outcomes.

Enhancing breast cancer treatment through pharmacogenomics: A narrative review

Pharmacogenomics has become integral to personalised medicine in breast cancer, utilising genetic insights to customize treatment strategies and enhance patient outcomes. Understanding how genetic variations influence drug metabolism, response, and toxicity is crucial for guiding treatment selection and dosing regimens. Genetic polymorphisms in drug-metabolizing enzymes and transporters significantly impact pharmacokinetic variability, influencing the efficacy and safety of chemotherapy agents and targeted therapies. Biomarkers associated with the hormone receptor status of breast cancer and mutations serve as key determinants of treatment response, aiding in the selection of therapies. Despite substantial progress in understanding the pharmacogenomic landscape of breast cancer, efforts to identify novel genetic markers and refine treatment optimisation strategies are required. Genome-wide association studies and advanced sequencing technologies hold promise for uncovering genetic determinants of drug response variability and elucidating complex pharmacogenomic interactions. The future of pharmacogenomics in breast cancer lies in real-time treatment monitoring, the discovery of additional predictive markers, and the seamless integration of pharmacogenomic data into clinical decision-making processes. However, translating pharmacogenomic discoveries into routine clinical practice requires collaborative efforts among stakeholders to address implementation challenges and ensure equitable access to genetic testing. By embracing pharmacogenomics, clinicians can tailor treatment approaches to individual patients, maximizing therapeutic benefits while minimizing adverse effects. This review discusses the integration of pharmacogenomics in breast cancer treatment, highlighting the significance of understanding genetic influences on treatment response and toxicity, and the potential of advanced technologies in refining treatment strategies.

Phenotype versus genotype to optimize cancer dosing in the clinical setting-focus on 5-fluorouracil and tyrosine kinase inhibitors

Cancer medicines often have narrow therapeutic windows; toxicity can be severe and sometimes fatal, but inadequate dose intensity reduces efficacy and survival. Determining the optimal dose for each patient is difficult, with body-surface area used most commonly for chemotherapy and flat dosing for tyrosine kinase inhibitors, despite accumulating evidence of a wide range of exposures in individual patients with many receiving a suboptimal dose with these strategies. Therapeutic drug monitoring (measuring the drug concentration in a biological fluid, usually plasma) (TDM) is an accepted and well validated method to guide dose adjustments for individual patients to improve this. However, implementing TDM in routine care has been difficult outside a research context. The development of genotyping of various proteins involved in drug elimination and activity has gained prominence, with several but not all Guideline groups recommending dose reductions for particular variant genotypes. However, there is increasing concern that dosing recommendations are based on limited data sets and may lead to unnecessary underdosing and increased cancer mortality. This Review discusses the evidence surrounding genotyping and TDM to guide decisions around best practice.

MIR27A rs895819 TC genotype increases risk of fluoropyrimidine-induced severe toxicity independently of DPYD variations

Aim: MicroRNA 27a (miR-27a) regulates post-transcriptionally DPD activity. We have analyzed the association of MIR27A rs895819T>C variation, that modulates miR-27a expression, with fluropyrimidine-induced toxicity. Materials & methods: MIR27A rs895819T>C genotyping was conducted by TaqMan® allelic discrimination assay in 313 FP-treated cancer patients. Results: In overdominance (TC vs TT + CC), TC genotype was associated with grade 3-4 toxicity (p = 0.002), any grade toxicity (p = 0.052), and delayed drug administration or therapy discontinuation (p = 0.038). Odds of grade 3-4 toxicity were increased by both DPYD deficiency (OR: 8.923; p = 0.006) and MIR27A rs895819 TC genotype (OR: 3.865; p = 0.002). Conclusion: MIR27A rs895819 TC genotype is an independent risk factor for fluoropyrimidine-associated toxicity in the Greek population. Thus, MIR27A rs895819TC patients can be closely monitored for fluoropyrimidine-induced severe toxicity.

Cost-utility analysis and cross-country comparison of pharmacogenomics-guided treatment in colorectal cancer patients participating in the U-PGx PREPARE study

OBJECTIVES

A cost-utility analysis was conducted to evaluate pharmacogenomic (PGx)-guided treatment compared to the standard-of-care intervention among patients diagnosed with colorectal cancer (CRC) in Italy.

METHODS

Data derived from a prospective, open-label, block randomized clinical trial, as a part of the largest PGx study worldwide (355 patients in both arms) were used. Mortality was used as the primary health outcome to estimate life years (LYs) gained in treatment arms within a survival analysis context. PGx-guided treatment was based on established drug-gene interactions between capecitabine, 5-fluorouracil and irinotecan with DPYD and/or UGT1A1 genomic variants. Utility values for the calculation of Quality Adjusted Life Year (QALY) was based on Visual Analog Scale (VAS) score. Missing data were imputed via the Multiple Imputation method and linear interpolation, when possible, while censored cost data were corrected via the Replace-From-The-Right algorithm. The Incremental Cost-Effectiveness Ratio (ICER) was calculated for QALYs. Raw data were bootstrapped 5000 times in order to produce 95% Confidence Intervals based on non-parametric percentile method and to construct a cost-effectiveness acceptability curve. Cost differences for study groups were investigated via a generalized linear regression model analysis. Total therapy cost per patient reflected all resources expended in the management of any adverse events, including medications, diagnostics tests, devices, surgeries, the utilization of intensive care units, and wards.

RESULTS

The total cost of the study arm was estimated at €380 (∼ US$416; 95%CI: 195-596) compared to €565 (∼ US$655; 95%CI: 340-724) of control arm while the mean survival in study arm was estimated at 1.58 (+0.25) LYs vs 1.50 (+0.26) (Log Rank test, X2 = 4.219, df=1, p-value=0.04). No statistically significant difference was found in QALYs. ICER was estimated at €13418 (∼ US$14695) per QALY, while the acceptability curve indicated that when the willingness-to-pay was under €5000 (∼ US$5476), the probability of PGx being cost-effective overcame 70%. The most frequent adverse drug event in both groups was neutropenia of severity grade 3 and 4, accounting for 82.6% of total events in the study arm and 65.0% in the control arm. Apart from study arm, smoking status, Body-Mass-Index and Cumulative Actionability were also significant predictors of total cost. Subgroup analysis conducted in actionable patients (7.9% of total patients) indicated that PGx-guided treatment was a dominant option over its comparator with a probability greater than 92%. In addition, a critical literature review was conducted, and these findings are in line with those reported in other European countries.

CONCLUSION

PGx-guided treatment strategy may represent a cost-saving option compared to the existing conventional therapeutic approach for colorectal cancer patient management in the National Health Service of Italy.

Implementing pharmacogenetic testing in fluoropyrimidine-treated cancer patients: DPYD genotyping to guide chemotherapy dosing in Greece

Introduction: Dihydropyrimidine dehydrogenase (DPD), encoded by DPYD gene, is the rate-limiting enzyme responsible for fluoropyrimidine (FP) catabolism. DPYD gene variants seriously affect DPD activity and are well validated predictors of FP-associated toxicity. DPYD variants rs3918290, rs55886062, rs67376798, and rs75017182 are currently included in FP genetic-based dosing guidelines and are recommended for genotyping by the European Medicines Agency (EMA) before treatment initiation. In Greece, however, no data exist on DPYD genotyping. The aim of the present study was to analyze prevalence of DPYD rs3918290, rs55886062, rs67376798, rs75017182, and, additionally, rs1801160 variants, and assess their association with FP-induced toxicity in Greek cancer patients. Methods: Study group consisted of 313 FP-treated cancer patients. DPYD genotyping was conducted on QuantStudio ™ 12K Flex Real-Time PCR System (ThermoFisher Scientific) using the TaqMan® assays C__30633851_20 (rs3918290), C__11985548_10 (rs55886062), C__27530948_10 (rs67376798), C_104846637_10 (rs75017182) and C__11372171_10 (rs1801160). Results: Any grade toxicity (1-4) was recorded in 208 patients (66.5%). Out of them, 25 patients (12%) experienced grade 3-4 toxicity. DPYD EMA recommended variants were detected in 9 patients (2.9%), all experiencing toxicity (p = 0.031, 100% specificity). This frequency was found increased in grade 3-4 toxicity cases (12%, p = 0.004, 97.9% specificity). DPYD deficiency increased the odds of grade 3-4 toxicity (OR: 6.493, p = 0.014) and of grade 1-4 gastrointestinal (OR: 13.990, p = 0.014), neurological (OR: 4.134, p = 0.040) and nutrition/metabolism (OR: 4.821, p = 0.035) toxicities. FP dose intensity was significantly reduced in DPYD deficient patients (β = -0.060, p <0.001). DPYD rs1801160 variant was not associated with FP-induced toxicity or dose intensity. Triple interaction of DPYD*TYMS*MTHFR was associated with grade 3-4 toxicity (OR: 3.725, p = 0.007). Conclusion: Our findings confirm the clinical validity of DPYD reduced function alleles as risk factors for development of FP-associated toxicity in the Greek population. Pre-treatment DPYD genotyping should be implemented in clinical practice and guide FP dosing. DPYD*gene interactions merit further investigation as to their potential to increase the prognostic value of DPYD genotyping and improve safety of FP-based chemotherapy.