NBDC Research ID: hum0279.v1
SUMMARY
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
Dataset ID | Type of Data | Criteria | Release Date |
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JGAS000307 | NGS (Target Capture) | Controlled-access (Type I) | 2022/09/05 |
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Participants/Materials |
Diffuse large B-cell lymphoma (ICD10: C833): 177 cases tumor tissues: 196 samples (FFPE: 177 samples, matched frozen specimens: 19 samples) |
Targets | Target Capture |
Target Loci for Capture Methods | 144 genes |
Platform | Illumina [NextSeq 550] |
Library Source | DNAs extracted from tumor tissues (FFPE and frozen specimens) |
Cell Lines | - |
Library Construction (kit name) | NEBNext Ultra II DNA Library Prep Kit |
Fragmentation Methods | Enzymatic fragmentation |
Spot Type | Paired-end |
Read Length (without Barcodes, Adaptors, Primers, and Linkers) | 300 bp |
Japanese Genotype-phenotype Archive Dataset ID | JGAD000418 |
Total Data Volume | 41.8 GB (bam [ref: hg19]) |
Comments (Policies) | NBDC policy |
DATA PROVIDER
Principal Investigator: Emiko Sakaida
Affiliation: Department of Hematology, Chiba University Hospital
Project / Group Name: -
Funds / Grants (Research Project Number):
Name | Title | Project Number |
---|---|---|
KAKENHI Grant-in-Aid for Young Scientists (B) | Profiling of EBV positive DLBCL by DNA methylation epigenotype | 17K17637 |
PUBLICATIONS
Title | DOI | Dataset ID | |
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1 | Genetic subtype classification using a simplified algorithm and mutational characteristics of diffuse large B-cell lymphoma in a Japanese cohort | doi: 10.1111/bjh.17765 | JGAD000418 |
2 |
USRES (Controlled-access Data)
Principal Investigator | Affiliation | Country/Region | Research Title | Data in Use (Dataset ID) | Period of Data Use |
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