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Updated: May 8, 2026

VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma
Published on: December 28, 2015
Clonal Hematopoietic Mutations in Plasma Cell Disorders: Clinical Subgroups and Shared Pathogenesis.
Xuezhu Wang1, Liping Zuo2, Yanying Yu1
1Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Clonal hematopoietic mutations in plasma cell disorders like multiple myeloma and amyloidosis influence disease progression and patient outcomes. These genetic alterations offer insights into shared disease pathways and help identify distinct patient subgroups.
Area of Science:
- Hematology
- Oncology
- Genetics
Background:
- Plasma cell disorders (PCDs) involve abnormal plasma cell proliferation, leading to complications.
- Multiple myeloma (MM) and monoclonal gammopathy of undetermined significance (MGUS) are common, while primary light-chain amyloidosis (AL) and POEMS syndrome (POEMS) are rare and less understood.
- Understanding clonal hematopoietic (CH) mutations is crucial for elucidating PCD pathogenesis.
Purpose of the Study:
- To investigate the role of CH mutations and their interconnections in PCDs.
- To identify specific mutations driving disease progression and influencing clinical features.
- To explore shared genetic underpinnings across different PCD subtypes.
Main Methods:
- Sequencing of CH and myeloma driver gene mutations in bone marrow plasma cells (BMPCs) from patients with MM, AL, and POEMS.
- Analysis of mutation burden and distribution in clonal and subclonal plasma cell populations.
- Binary matrix factorization to identify mutation-associated subgroups and clinical features.
Main Results:
- Recurrent lymphoid CH mutations (FAT1, KMT2D, MGA, SYNE1) and myeloma driver mutations (ZFHX3, DIS3) were identified.
- Lymphoid CH mutations were more prevalent in MM than in AL or POEMS and associated with aging.
- Mutation patterns revealed subgroups linked to progression-free survival (PFS), age, free light chain levels, plasma cell burden, and VEGF levels.
- MGA or SYNE1 mutations consistently correlated with poor PFS across MM, AL, and POEMS.
Conclusions:
- CH mutations partially explain the shared pathogenesis of MM, AL, POEMS, and MGUS.
- Specific mutations can identify patient subgroups with distinct clinical characteristics and prognoses.
- This research enhances understanding of PCDs and aids in personalized treatment strategies.
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