Metamizole is a widely prescribed NSAID with excellent analgesic and antipyretic properties. Although very effective, it is banned in some countries because of the risk for severe agranulocytosis. We here describe three patients with metamizole-associated agranulocytosis. Patient #1 suffered from agranulocytosis and tonsillitis followed by severe sepsis by Streptococcus pneumoniae and Epstein-Barr virus reactivation. Her dizygotic twin sister (patient #2) also suffered from agranulocytosis after a surgical intervention. Patient #3 initially had a tonsillitis and also developed neutropenia after metamizole intake. For all patients, pharmacogenetic diagnostic for the genes CYP2C9, CYP2C19 and NAT2, which are involved in metamizole metabolism and degradation of toxic metabolites, was initiated. Pharmacogenetic analysis revealed NAT2 slow acetylator phenotype in all three patients. Additionally, patient #2 is an intermediate metabolizer for CYP2C19 and patient #3 is a poor metabolizer for CYP2C9. Impairment of these enzymes causes a reduced degradation of toxic metabolites, for example, 4-methylaminoantipyrine (4-MAA) or 4-aminoantipyrine. The metabolite 4-MAA can complex with hemin, which is an early breakdown product during hemolysis. Hemolysis is often observed during invasive infections or after surgical procedures. It is known that the 4-MAA/hemin complex can induce cytotoxicity in the bone marrow and interrupt granulocyte maturation. In conclusion, metamizole-induced agranulocytosis most likely was a consequence of the underlying genetical predisposition, that is, polymorphisms in the genes NAT2, CYP2C9 and CYP2C19. Hemolysis may have increased the toxicity of metamizole metabolites.
Biallelic germline mutations in BRCA2 occur in the FA-D1 subtype of the rare pediatric disorder, Fanconi anemia (FA), characterized clinically by congenital abnormalities and a high propensity to develop malignancies early in life. Clinical and genetic data from 96 FA-D1 patients with biallelic BRCA2 mutations were collected and used to develop a new cancer risk prediction score system based on the specific mutations in BRCA2. This score takes into account the location of frameshift/stop and missense mutations relative to exon 11 of BRCA2, which encodes the major sites for interaction with the RAD51 recombinase, and uses the MaxEnt and HBond splicing scores to analyze potential splice site pertubations. Among 75 FA-D1 patients with ascertained BRCA2 mutations, 66 patients developed 102 malignancies, ranging from one to three independent tumors per individual. The median age at the manifestation of peripheral embryonal tumors was 1.0, of hematologic malignancies 1.8, and of CNS tumors 2.7 years, respectively. Patients who received treatment lived longer than those without. Using our novel scoring system, we could distinguish three distinct cancer risk groups among FA-D1 patients: in the first, patients developed their initial malignancy at a median age of 1.3 years (n = 36, 95% CI 0.9–1.8), in the second group at 2.3 years (n = 17, 95% CI 1.4–4.4) and in the 3rd group at 23.0 years (n = 22, 95% CI 4.3-n/a). Therefore, this scoring system allows, for the first time, to predict the cancer manifestation of FA-D1 patients simply based on the type and position of the mutations in BRCA2.
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