| Literature DB >> 31787752 |
Reka Varnai1,2, Istvan Szabo3,4, Greta Tarlos5, Laszlo Jozsef Szentpeteri6, Attila Sik6, Sandor Balogh1, Csilla Sipeky7.
Abstract
Pharmacogenomic biomarker availability of Hungarian Summaries of Product Characteristics (SmPC) was assembled and compared with the information in US Food and Drug Administration (FDA) drug labels of the same active substance (July 2019). The level of action of these biomarkers was assessed from The Pharmacogenomics Knowledgebase database. From the identified 264 FDA approved drugs with pharmacogenomic biomarkers in drug label, 195 are available in Hungary. From them, 165 drugs include pharmacogenomic data disposing 222 biomarkers. Most of them are metabolizing enzymes (46%) and pharmacological targets (41%). The most frequent therapeutic area is oncology (37%), followed by infectious diseases (12%) and psychiatry (9%) (p < 0.00001). Most common biomarkers in Hungarian SmPCs are CYP2D6, CYP2C19, estrogen and progesterone hormone receptor (ESR, PGS). Importantly, US labels present more specific pharmacogenomic subheadings, the level of action has a different prominence, and offer more applicable dose modifications than Hungarians (5% vs 3%). However, Hungarian SmPCs are at 9 oncology drugs stricter than FDA, testing is obligatory before treatment. Out of the biomarkers available in US drug labels, 62 are missing completely from Hungarian SmPCs (p < 0.00001). Most of these belong to oncology (42%) and in case of 11% of missing biomarkers testing is required before treatment. In conclusion, more factual, clear, clinically relevant pharmacogenomic information in Hungarian SmPCs would reinforce implementation of pharmacogenetics. Underpinning future perspective is to support regulatory stakeholders to enhance inclusion of pharmacogenomic biomarkers into Hungarian drug labels and consequently enhance personalized medicine in Hungary.Entities:
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Year: 2019 PMID: 31787752 PMCID: PMC7253355 DOI: 10.1038/s41397-019-0123-z
Source DB: PubMed Journal: Pharmacogenomics J ISSN: 1470-269X Impact factor: 3.550
Drugs in the Hungarian National Institute of Pharmacy and Nutrition database with complete (n = 145), with partial (n = 20 italic), and without (n = 30 bold) pharmacogenomic information in their Summary of Product Characteristicsa
| Abacavir | Diazepam | Lenalidomide | Ponatinib |
| Abemaciclib | Dinutuximab | Lesinurad | Prasugrel |
| Afatinib | Docetaxel | Letrozole | Pyrazinamide |
| Alectinib | Dolutegravir | Prilocain | |
| Amifampridine | Donepezil | Propafenone | |
| Amitriptyline | Drospirenone | Lumacaftor | Propranolol |
| Anastrozole | Duloxetine | Quinidine | |
| Aripiprazole | Durvalumab | Quinine Sulfate | |
| Arsenic Trioxide | Efavirenz | Rabeprazole | |
| Elbasvir | Methylene Blue | ||
| Atomoxetine | Eliglustat | Raltegravir | |
| Avatrombopag | Elosulfase | Metoprolol | |
| Avelumab | Eltrombopag | Ribociclib | |
| Azathioprine | Encorafenib | Migalastat | |
| Binimetinib | Mirabegron | Risperidone | |
| Blinatumomab | Erlotinib | Mivacurium | Rituximab |
| Bosutinib | Escitalopram | Mycophenolic Acid | |
| Esomeprazole | Nebivolol | ||
| Vedotin | Ethinyl Estradiol | Neratinib | Rosuvastatin |
| Brexpiprazole | Everolimus | Nilotinib | Rucaparib |
| Brigatinib | Niraparib | ||
| Brivaracetam | Fesoterodine | Nitrofurantoin | |
| Busulfan | Fluorouracil | ||
| Cabozantinib | Fluoxetine | Nusinersen | |
| Capecitabine | Obinutuzumab | Sulfadiazine | |
| Carbamazepine | Olaparib | ||
| Carglumic Acid | Fluvoxamine | Olaratumab | |
| Cariprazine | Talazoparib | ||
| Carvedilol | Fulvestrant | Paritaprev | |
| Galantamine | Tamsulosin | ||
| Celecoxib | Gefitinib | Omeprazole | Tetrabenazine |
| Ceritinib | Glimepiride | Ondansetron | |
| Cerliponase Alfa | Osimertinib | Tezacaftor | |
| Cetuximab | Grazoprevir | Ospemifene | Ticagrelor |
| Chloroquine | Ibrutinib | Oxcarbazepine | Toremifene |
| Imatinib | Tramadol | ||
| Citalopram | Palbociclib | ||
| Clobazam | Indacaterol | Palonosetron | Trastuzumab |
| Clomipramine | Inotersen | ||
| Clopidogrel | Inotuzumab | Pantoprazole | |
| Clozapine | Ozogamicin | Umeclidinium | |
| Cobimetinib | |||
| Codeine | Irinotecan | Paroxetine | Valproic Acid |
| Crizotinib | Isoflurane | Patisiran | Vemurafenib |
| Isoniazid | Pazopanib | ||
| Daclatasvir | Velpatasvir | ||
| Dacomitinib | Venlafaxine | ||
| Darifenacin | Ivacaftor | ||
| Lacosamide | Pertuzumab | Voriconazole | |
| Dasatinib | Lansoprazole | Phenytoin | Vortioxetine |
| Dexlansoprazole | Lapatinib | Voxilaprevir | |
| Dextromethorphan | Warfarin |
The table represents the status of 2019 July
aOut of 264 FDA listed drugs with pharmacogenomic biomarkers in drug labeling, 195 are marketed in Hungary
Fig. 1Therapeutic areas of drugs with pharmacogenomic information in their labeling in Hungary
Pharmacogenomic biomarkers in Hungarian Summaries of Product Characteristics of 165 drugs
| Biomarker | Frequency ( | Percentage (%) | |
|---|---|---|---|
| Metabolizing enzyme ( | CYP2D6 | 40 | 18.00 |
| CYP2C19 | 18 | 8.01 | |
| G6PD | 10 | 4.05 | |
| UGT1A1 | 7 | 3.02 | |
| CYP2C9 | 6 | 2.07 | |
| CYP2B6 | 3 | 1.04 | |
| DPYD | 3 | 1.04 | |
| NAT1 | 2 | 0.09 | |
| TPMT | 2 | 0.09 | |
| BCHE | 1 | 0.05 | |
| CYP1A2 | 1 | 0.05 | |
| CYP3A5 | 1 | 0.05 | |
| GALNS | 1 | 0.05 | |
| GLA | 1 | 0.05 | |
| HPRT1 | 1 | 0.05 | |
| NAGS | 1 | 0.05 | |
| NAT2 | 1 | 0.05 | |
| SLCO1B1 | 1 | 0.05 | |
| Urea cycle disorder | 1 | 0.05 | |
| VKORC1 | 1 | 0.05 | |
| Target ( | ESR, PGR | 15 | 6.07 |
| ERBB2 | 12 | 5.05 | |
| BCR-ABL1 | 8 | 3.06 | |
| BRAF | 8 | 3.06 | |
| EGFR | 6 | 2.07 | |
| ALK | 5 | 2.03 | |
| Del 5q/17p/11q | 5 | 2.03 | |
| RAS | 5 | 2.03 | |
| BRCA | 4 | 1.80 | |
| CD274 | 4 | 1.80 | |
| CFTR | 2 | 0.09 | |
| KIT | 2 | 0.09 | |
| MS4A1 | 2 | 0.09 | |
| TTR | 2 | 0.05 | |
| FIP1L1-P | 1 | 0.05 | |
| FLT3 | 1 | 0.05 | |
| PDGFRA | 1 | 0.05 | |
| PDGFRB | 1 | 0.05 | |
| PML-RARA | 1 | 0.05 | |
| RET | 1 | 0.05 | |
| ROS1 | 1 | 0.05 | |
| SMN2 | 1 | 0.05 | |
| TNFRSF8 | 1 | 0.05 | |
| TP53 | 1 | 0.05 | |
| Other ( | HLA-B | 5 | 2.03 |
| IFNL3 | 5 | 2.03 | |
| F5 | 2 | 0.09 | |
| HLA-A | 2 | 0.09 | |
| PROC | 2 | 0.09 | |
| PROS1 | 2 | 0.09 | |
| SERPINC1 | 2 | 0.09 | |
| Nonspecific (congenital methemoglobinemia) | 1 | 0.05 | |
| CYB5R | 1 | 0.05 | |
| F2 | 1 | 0.05 | |
| HLA-DQA1 | 1 | 0.05 | |
| IGH | 1 | 0.05 | |
| MYCN | 1 | 0.05 | |
| NUDT15 | 1 | 0.05 | |
| POLG | 1 | 0.05 | |
| RYR1 | 1 | 0.05 | |
| TPP1 | 1 | 0.05 | |
The table represents the status of 2019 July
Comparison of the level of action of pharmacogenomic information acquired from Hungarian SmPCs and the PharmGKB annotation of US FDA pharmacogenomic biomarkers (n = 284)
| Pharmacogenomic level of action | Hungarian SmPC, | US FDA on PharmGKB, | |
|---|---|---|---|
| Testing required | 72 (25) | 79 (28) | 0.506 |
| Testing recommended | 4 (1) | 6 (2) | 0.523 |
| Actionable | 95 (34) | 108 (38) | 0.255 |
| Informative | 51 (18) | 77 (27) | |
| Missing | 62 (22) | 14 (5) |
Based on 2019 July status
*χ2 test; statistically significant difference is marked with bold, p < 0.05;