Introduction: Next-generation sequencing (NGS) elucidates the diffuse large B-cell lymphoma (DLBCL) genetic characteristics by finding recurrent and novel somatic mutations. This observational study attempted to create an NGS panel with a focus on identifying novel somatic mutations which could have potential clinical and therapeutic implications. This panel was created to look for mutations in 133 genes chosen on basis of a literature review and it was used to sequence the tumor DNA of 20 DLBCL patients after a centralized histopathologic review.
Methods: The study included 20 patients having DLBCL. The quality and quantity of tumor cells were accessed by H&E staining and correlated with histopathology and Immunohistochemistry (IHC) status. Patients were grouped as ABC (activated B-cell), PMBL (primary mediastinal large B-cell lymphoma), and other or unclassified subtypes. The lymphoma panel of 133 was designed on targeted sequencing of multiple genes for the coding regions through NGS. The libraries were prepared and sequenced using the Illumina platform. The alignment of obtained sequences was performed using Burrows-Wheeler Aligner and identification of somatic mutations was done using LoFreq (version 2) variant caller. The mutations were annotated using an annotation pipeline (VariMAT). Previously published literature and databases were used for the annotation of clinically relevant mutations. The common variants were filtered for reporting based on the presence in various population databases (1000G, ExAC, EVS, 1000Japanese, dbSNP, UK10K, MedVarDb). A custom read-depth-based algorithm was used to determine CNV (Copy Number Variants) from targeted sequencing experiments. Rare CNVs were detected using a comparison of the test data read-depths with the matched reference dataset. Reportable mutations were prioritized and prepared based on AMP-ASCO-CAP (Association for Molecular Pathology-American Society of Clinical Oncology-College of American Pathologists), WHO guidelines, and also based on annotation metrics from OncoMD (a knowledge base of genomic alterations).
Results: The informativity of the panel was 95 percent. was the most frequently mutated gene in 16.1% of patients followed by 12.9% who had ARID1A mutations. and mutations were detected in 9.6% of the patient while 6.4% of patients had mutations. and are the most frequently reported gene in the middle age group (40-60). Mutation in is reported in every age group. (51%) is the most common mutation in ABC subtypes of DLBCL, followed by (44%) and (33%) according to our findings. mutations are frequent in ABC and PMBL subtypes. Closer investigation reveals missense mutation is the most frequent mutation observed in the total cohort targeting 68.4% followed by frameshift deletion reported in 26.3%. Six novel variants have been discovered in this study.
Conclusions: This study demonstrates the high yield of information in DLBCL using the NGS Lymphoma panel. Results also highlight the molecular heterogeneity of DLBCL subtypes which indicates the need for further studies to make the results of the NGS more clinically relevant.
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http://dx.doi.org/10.7759/cureus.28241 | DOI Listing |
Transplant Cell Ther
January 2025
Abramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania.
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Proc Natl Acad Sci U S A
January 2025
Division of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115.
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January 2025
Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
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January 2025
Operations Department, Burjeel Medical City, Abu Dhabi 92510, United Arab Emirates.
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View Article and Find Full Text PDFGenes Chromosomes Cancer
January 2025
Institute of Human Genetics, Ulm University and Ulm University Medical Center, Ulm, Germany.
Mature aggressive B-cell lymphomas, such as Burkitt lymphoma (BL) and Diffuse large B-cell lymphoma (DLBCL), show variations in microRNA (miRNA) expression. The entity of High-grade B-cell lymphoma with 11q aberration (HGBCL-11q) shares several biological features with both BL and DLBCL but data on its miRNA expression profile are yet scarce. Hence, this study aims to analyze the potential differences in miRNA expression of HGBCL-11q compared to BL and DLBCL.
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