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Following a change to our organizational structure effective April 1, 2026, this division has been renamed from the "Database Center for Life Science, Joint Support-Center for Data Science Research" to the "Database Division for Life Science (DBCLS), BioData Science Initiative (BSI), National Institute of Genetics (NIG)". Where the former name still appears in the guidelines, please read it as the new name.

Research ID

hum0279-v1Release info

Latest

Research title

Stratification of refractory malignant lymphoma by genomic/epigenomic analysis and immunohistochemistry and development of novel therapeutic approaches

Research overview

Aims
Diffuse large B-cell lymphoma (DLBCL) is a common hematological malignancy. Treatment with standard chemotherapy results in long-term remission in approximately 60% of patients. Whole-exome sequencing studies of large DLBCL cohorts revealed the biological diversity of tumors and facilitated the identification of genetic subtypes based on genetic alterations. Despite the progress facilitated by NGS, genetic classification is difficult to apply in clinical practice because of the complexity of the clustering algorithm. Furthermore, only a few reports included large Asian cohorts. Thus, a genetic overview of Japanese patients with DLBCL is still needed. Thus, in this study, we aimed to establish the clinical application of our simplified genetic classification algorithm in Japanese DLBCL.
Methods
Gene mutation analysis by a targeted DNA sequencing was performed using DNA extracted from 177 formalin-fixed paraffin-embedded specimens and 19 matched frozen specimens.
Participants/materials
177 patients of diffuse large B-cell lymphoma
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000418NGS (Target Capture)
  • Targeted DNA sequencing
Controlled-access (Type I)2021-08-11

Data provider

Principal investigator
Emiko Sakaida
Affiliation
Department of Hematology, Chiba University Hospital

Research projects

No research projects.

Grants

NameTitleProject number
KAKENHI Grant-in-Aid for Young Scientists (B)
Profiling of EBV positive DLBCL by DNA methylation epigenotype
  • 17K17637

Related publications

TitleDOIDataset ID
Genetic subtype classification using a simplified algorithm and mutational characteristics of diffuse large B-cell lymphoma in a Japanese cohort

Controlled access users

No use of the controlled access data has been recorded.