ABSTRACT
BACKGROUND: Hereditary cancer syndromes are an important subset of malignant cancers caused by pathogenic variants in one of many known cancer predisposition genes. Diagnosis of cancer predisposition is based on genetic testing using next-generation sequencing. This allows many genes to be analysed at once, increasing the number of variants identified. The correct classification of the variants found is essential for the clinical interpretation of genetic test results. PURPOSE: The aim of this study is to summarise the rules for classifying identified variants within individual laboratories and to present the process for creating a common classification. In the Czech Republic, the sharing of identified genetic variants and the development of their consensus classification among national laboratory diagnostic communities is carried out within the Czech Cancer Panel for Clinical Application (CZECANCA) consortium of scientific and diagnostic oncogenetic laboratories. Consensus for variant classification follows a defined protocol. Sharing the results and consensus classification accelerates and refines the release of genetic test results, harmonises results between laboratories and thus contributes to improving the care of individuals at high risk of cancer and their relatives.
Subject(s)
Genetic Predisposition to Disease , Neoplastic Syndromes, Hereditary , Humans , Consensus , Genetic Testing/methods , Germ-Line Mutation , Neoplastic Syndromes, Hereditary/genetics , Germ CellsABSTRACT
BACKGROUND: Nowadays, modern treatment methods for cancer patients are based on targeting specific molecules involved in cellular signaling system associated with tumor initiation and progression. The success of such approach depends on a correctly chosen dia-gnostic test with high sensitivity that identifies the occurrence and level of bio-markers in patients to select those who will respond and benefit from the treatment. The development of new technologies and the upgrades of the known ones contribute to the innovations in molecular characterization of cancer, which allows the detection of patients mutational status with high sensitivity and specificity. PURPOSE: Here, we discuss the utilization of the third-generation type of polymerase chain reaction (PCR), droplet digital PCR (ddPCR), in the molecular dia-gnostics of oncology diseases. According to the studies reported in our review, ddPCR represents a promising tool in genetic profiling of cancer patients. Therefore, the optimization and precise validation may enable gradual implementation of ddPCR into clinical practice in the field of oncology.
