Dataset Information

Diagnostic application of next-generation sequencing in ZMYM2-FGFR1 8p11 myeloproliferative syndrome: A case report.

ABSTRACT: The 8p11 myeloproliferative syndrome (EMS), also known as 8p11 myeloproliferative neoplasm (8p11 MPN), is a collection of rare hematologic malignancies that are associated with fusion genes involving the tyrosine kinase receptor gene FGFR1 in chromosome 8p11. The entity is an aggressive disease with a high rate of transformation to acute myeloid leukemia (AML) and pathologically characterized by its associated eosinophilia. In this study, we reported a distinctive EMS case featuring an in-frame ZMYM2-FGFR1 fusion gene identified by next-generation sequencing technology (NGS). This patient exhibited not only typical EMS signs including elevated white blood cells in peripheral blood and hypercellular bone marrow with marked leukocytosis, but also exceptional characteristics including erythrocytosis in blood and bone marrow basophilia. Moreover, we detected 2 novel genomic mutations in 2 known leukemogenic genes, IKZF1 and ASXL1. Whether these 2 mutations play a part in EMS pathogenesis or contribute to its specific presentations clinically remain to be determined. In summary, we present a unique EMS case involving a ZMYM2-FGFR1 fusion with distinctive hematologic characteristics.

SUBMITTER: Wang Y

PROVIDER: S-EPMC5004680 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Diagnostic application of next-generation sequencing in ZMYM2-FGFR1 8p11 myeloproliferative syndrome: A case report.

Wang Yadan Y Wu Xiaofei X Deng Jun J Yu Hao H Xu Ren R Zhu Zhiyi Z Tu Shichun S Hu Yu Y

Cancer biology & therapy 20160801 8

The 8p11 myeloproliferative syndrome (EMS), also known as 8p11 myeloproliferative neoplasm (8p11 MPN), is a collection of rare hematologic malignancies that are associated with fusion genes involving the tyrosine kinase receptor gene FGFR1 in chromosome 8p11. The entity is an aggressive disease with a high rate of transformation to acute myeloid leukemia (AML) and pathologically characterized by its associated eosinophilia. In this study, we reported a distinctive EMS case featuring an in-frame ...[more]

PMID: 27415155

Similar Datasets

Project description:Pneumonia is one of the most important causes of morbidity and mortality in children. Identification and characterization of pathogens that cause infections are crucial for accurate treatment and accelerated recovery. However, in most cases, the causative agent cannot be identified, which is partly due to the limited spectrum of pathogens covered by current diagnostics based on nucleic acid amplification. Therefore, in this study, we explored the application of metagenomic next-generation sequencing (mNGS) for the diagnosis of children with severe pneumonia. From April to July 2017, 32 hospitalized children with severe nonresponding pneumonia in Shenzhen Children's Hospital were included in this study. Blood tests were conducted immediately after hospitalization to assess cell counts and inflammatory markers, oropharyngeal swabs were collected to identify common pathogens by qPCR and culture. After bronchoscopy, bronchoalveolar lavage fluid (BALF) samples were collected for further pathogen identification using standardized diagnostic tests and mNGS. Blood tests were normal in 3 of the 32 children. In 9 oropharyngeal swabs, bacterial pathogens were detected, in 5 of these Mycoplasma pneumoniae was detected. Adenovirus was detected in 5 BALF samples, using the Direct Immunofluorescence Assay (DFA). In 15 cases, no common pathogens were found in BALF samples, using the current standard diagnostic tests, while in all 32 BALFs, pathogens were identified using mNGS, including adenovirus, Mycoplasma pneumoniae, Streptococcus pneumoniae, Haemophilus influenzae, Moraxella catarrhalis, cytomegalovirus and bocavirus. This study shows that, with mNGS, the sensitivity of detection of the causative pathogens in children with severe nonresponding pneumonia is significantly improved. In addition, mNGS gives more strain specific information, helps to identify new pathogens and could potentially help to trace and control outbreaks. In this study, we have shown that it is possible to have the results within 24 hours, making the application of mNGS feasible for clinical diagnostics.

Dataset Information

Diagnostic application of next-generation sequencing in ZMYM2-FGFR1 8p11 myeloproliferative syndrome: A case report.

Publications

Diagnostic application of next-generation sequencing in ZMYM2-FGFR1 8p11 myeloproliferative syndrome: A case report.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets