The deficiency of natural anticoagulants—antithrombin (AT), protein C (PC), and protein S (PS)—is a highly predisposing factor for thrombosis, which is still underdiagnosed at the genetic level. We aimed to establish and evaluate an optimal diagnostic approach based on a high-throughput sequencing platform suitable for testing a small number of genes. A fast, flexible, and efficient method involving automated amplicon library preparation and target sequencing on the Ion Torrent platform was optimized. The cohort consisted of a group of 31 unrelated patients selected for sequencing due to repeatedly low levels of one of the anticoagulant proteins (11 AT-deficient, 13 PC-deficient, and 7 PS-deficient patients). The overall mutation detection rate was 67.7%, highest in PC deficiency (76.9%), and six variants were newly detected—SERPINC1 c.398A > T (p.Gln133Leu), PROC c.450C > A (p.Tyr150Ter), c.715G > C (p.Gly239Arg) and c.866C > G (p.Pro289Arg), and PROS1 c.1468delA (p.Ile490fs) and c.1931T > A (p.Ile644Asn). Our data are consistent with those of previous studies, which mostly used time-consuming Sanger sequencing for genotyping, and the indication criteria for molecular genetic testing were adapted to this process in the past. Our promising results allow for a wider application of the described methodology in clinical practice, which will enable a suitable expansion of the group of indicated patients to include individuals with severe clinical findings of thrombosis at a young age. Moreover, this approach is flexible and applicable to other oligogenic panels.
Objective: Summary of knowledge in the field of ovarian cancer and genetic predisposition. Results: Ovarian tumors are usually dia gnosed at advanced stages of the disease and the prognosis for these patients is generally poor. The 5-year overall survival rate, regardless of the histopathological type of tumor, is around 44%. Germline mutations causing hereditary tumor syndromes are predominantly involved in the development of epithelial ovarian tumors. The most common is hereditary breast and ovarian cancer syndrome, which is caused by germline mutations in the tumor suppressor genes BRCA1 and BRCA2. Several other tumor suppressor genes and oncogenes are known to be associated with ovarian tumors and cause other types of tumor syndromes. Inherited tumor syndromes include Lynch syndrome, Peutz-Jegers syndrome, Gorlin syndrome, Li-Fraumeni syndrome and others. The indication for genetic examination of germline mutations is given by a clinical geneticist on the basis of the recommendation of the attending physician. At present, every ovarian tumor, primary peritoneal tumor and tube tumor dia gnosed at any age is indicated for genetic testing. Conclusion: Early identification of genes for hereditary cancer syndromes, thanks to rapidly developing molecular genetic methods, is an important step towards personalized treatment of ovarian cancer and preventive measures in families at risk. It is also important to note that a negative molecular genetic test result does not exclude genetic risk.