Autor: |
Anna V. Kudryavtseva, Dmitry V. Kalinin, Vladislav S. Pavlov, Maria V. Savvateeva, Maria S. Fedorova, Elena A. Pudova, Anastasiya A. Kobelyatskaya, Alexander L. Golovyuk, Zulfiya G. Guvatova, George S. Razmakhaev, Tatiana B. Demidova, Sergey A. Simanovsky, Elena N. Slavnova, Andrey А. Poloznikov, Andrey P. Polyakov, Nataliya V. Melnikova, Alexey A. Dmitriev, George S. Krasnov, Anastasiya V. Snezhkina |
Jazyk: |
angličtina |
Rok vydání: |
2020 |
Předmět: |
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Zdroj: |
BMC Medical Genomics, Vol 13, Iss S8, Pp 1-11 (2020) |
Druh dokumentu: |
article |
ISSN: |
1755-8794 |
DOI: |
10.1186/s12920-020-00763-4 |
Popis: |
Abstract Background Vagal paragangliomas (VPGLs) belong to a group of rare head and neck neuroendocrine tumors. VPGLs arise from the vagus nerve and are less common than carotid paragangliomas. Both diagnostics and therapy of the tumors raise significant challenges. Besides, the genetic and molecular mechanisms behind VPGL pathogenesis are poorly understood. Methods The collection of VPGLs obtained from 8 patients of Russian population was used in the study. Exome library preparation and high-throughput sequencing of VPGLs were performed using an Illumina technology. Results Based on exome analysis, we identified pathogenic/likely pathogenic variants of the SDHx genes, frequently mutated in paragangliomas/pheochromocytomas. SDHB variants were found in three patients, whereas SDHD was mutated in two cases. Moreover, likely pathogenic missense variants were also detected in SDHAF3 and SDHAF4 genes encoding for assembly factors for the succinate dehydrogenase (SDH) complex. In a patient, we found a novel variant of the IDH2 gene that was predicted as pathogenic by a series of algorithms used (such as SIFT, PolyPhen2, FATHMM, MutationTaster, and LRT). Additionally, pathogenic/likely pathogenic variants were determined for several genes, including novel genes and some genes previously reported as associated with different types of tumors. Conclusions Results indicate a high heterogeneity among VPGLs, however, it seems that driver events in most cases are associated with mutations in the SDHx genes and SDH assembly factor-coding genes that lead to disruptions in the SDH complex. |
Databáze: |
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