National Medical Research Centre for Oncology, Rostov-on-Don, Russian Federation
Nadezhda V. Gnennaya , Oleg I. Kit , Svetlana Yu Filippova , Anastasia O. Sitkovskaya , Irina V. Mezhevova , Tatiana V. Shamova , Sofia V. Timofeeva , Inna A. Novikova , Irina B. Lysenko , Nadezhda V. Nikolaeva , Natalia Yu. Samaneva , Yakha S. Gaysultanova , Inna A. Kamaeva , Anna V. Tishina , Tatiana F. Pushkareva , Elena A. Kapuza
Background: Multiple myeloma (MM) is a B-cell malignancy resulting from the abnormal proliferation of neoplastic plasma cells that produce monoclonal immunoglobulin (Ig). The high variability of the course of this disease, its genetic clonal heterogeneity, is due to chromosomal deletions, chromosomal hyperploidy involving an odd number of chromosomes, as well as genetic aberrations, such as rearrangement of the Ig heavy chain gene loci. Since the available biomarkers do not take into account this feature of MM, there is a need to develop more advanced biomarkers that will more accurately predict the course of the disease and response to treatment. Methods: The collection of MM samples included biological samples obtained from patients over 18 years of age with a diagnosis of MM, who received treatment in the National Medical Research Center of Oncology since 2019. Only patients who signed an informed consent for the use of their biomaterial for scientific purposes were included in the project. The material was collected according to the developed algorithm of clinical information and biological material collection, sample preparation, quality control and storage in the cryostorage of the National Medical Research Centre for Oncology of the Ministry of Health of Russia (Rostov-on-Don). Results: As of December 23, 2021, collection consists of 387 samples of whole blood, serum, plasma and mononuclear cells obtained from 42 MM patients of both sexes, whose average age was 59.7 ± 1.49 (±SD) years. Each patient was assigned a unique identification number. Freezing of the obtained samples occurred in accordance with the low-temperature storage protocol. Registration, accounting and certification of the material were carried out in a specialized database for recording and storing information about biological samples. Conclusions: The identification of MM biomarkers is important for increasing the sensitivity of molecular monitoring, which makes it possible to stratify patients into risk groups for early relapses and treatment resistance development. Thanks to the accumulated experience, the Biobank of the National Medical Research Centre for Oncology of the Ministry of Health of Russia serves as a valuable resource for providing research in the development of new predictive molecular markers.
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