Specialized neurooncologial biorepository of the N.N. Burdenko National Medical Research Center for Neurosurgery: high-quality tumor bank for personalized medicine

Гольбин, Д.А.; Павлова, Г.В.; Шифрин, М.А.; Шугай, С.В.; Цуканова, Т.В.; Корочкина, А.Л.; Данилов, Г.В.

Авторы: Гольбин Д.А., Павлова Г.В., Шифрин М.А., Шугай С.В., Цуканова Т.В., Корочкина А.Л., Данилов Г.В.
Журнал: Neuro-Oncology
Том: 21
Номер: 3
Год издания: 2019
Издательство: Duke University Press
Местоположение издательства: United States
DOI: 10.1093/neuonc/noz126.210
Аннотация: BACKGROUND Specialized biorepositories in neurooncology serve for storage of tissue samples derived from patients with central nervous system (CNS) tumors. In 2016 the new facility was launched for collection of CNS tumor specimens. The principal aim of the repository is preparation of frozen CNS tumor samples accompanied by associated clinical, pathological, molecular, and follow-up data. MATERIAL AND METHODS Each surgical biopsy was divided into several aliquots (usually three), registered, and stored in LN2. Since August 2018 from all aliquots a lesser fragment was separated for paraffin block processing. This histological control was applied for quality assurance of frozen samples. Each specimen record was accompanied with demographic, clinical, perioperative, and histological data. In the follow-up, oncological treatment and response to therapy were added to the databank as well as molecular data. All tumor samples are characterized, passportized, stored, and systemically revised. The following biomarkers were evaluated: Cdk4, Cdk6, FGFR, NANOG, OCT4, SOX2, MELK, Nestin, Notch2, Olig2, GFAP, MAP2, β-III-tubulin, PDGFRA. Dedicated original flexible electronic data storage system was designed for information support of tumor collection. Specimen acquisition, procurement, and storage was encoded using SPREC 2.0 coding system. RESULTS Between March 2016 till January 2019 a total of 596 biopsy samples were stored in the repository. All of them were obtained from the patients operated on in N.N. Burdenko National Medical Research Center for Neurosurgery. Among all entities brain gliomas prevailed and comprised 539 biopsy specimens (90,4%). Specimen quality control using histology, immunohistochemistry, fluorescent in situ hybridization, and molecular methods was performed. The frequency of appropriate aliquots is as high as 83,4%. Tumor sample collection included primary and recurrent cases including those, which underwent primary and secondary in N.N. Burdenko National Medical Research Center for Neurosurgery. CONCLUSION Specialized neurooncological biorepository is advantageous due to possibility of tumor tissue collection at different stages of the disease. The associated databank contains patients’ data, tumor tissue data, treatment data, response to treatment, and follow-up data. Further development of the facility will provide collection of the larger spectrum of neurooncological entities, creation of tumor cell culture bank, and experimental therapies for the development of personalized neurooncological treatment.
Добавил в систему: Павлова Галина Валериевна

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