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Updated: Feb 5, 2026
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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
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Different patterns of clonal evolution among different sarcoma subtypes followed for up to 25 years
Jakob Hofvander1, Björn Viklund2, Anders Isaksson2
1Division of Clinical Genetics, Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden. jakob.hofvander@med.lu.se.
Nature Communications
|September 12, 2018
Summary
This study compared tumor evolution in three sarcoma types. Well-differentiated liposarcoma showed minor impact from single-cell variation, while complex sarcomas gradually accumulated mutations, similar to carcinomas.
Area of Science:
- Oncology
- Genetics
- Cancer Biology
Background:
- Understanding clonal evolution is crucial for cancer research.
- Different sarcoma subtypes arise through distinct genetic mechanisms.
Purpose of the Study:
- To compare clonal evolution dynamics across three distinct sarcoma types: amplicon-driven well-differentiated liposarcoma (WDLS), gene fusion-driven myxoid liposarcoma (MLS), and complex genome sarcomas (CXS).
- To investigate the impact of single-cell variation and mutation accumulation on tumor development in these subtypes.
Main Methods:
- Cytogenetics
- SNP array analysis
- Whole-exome sequencing
Main Results:
- Well-differentiated liposarcoma (WDLS) exhibits extensive single-cell variation with minimal impact on key amplicons in chromosome 12; single nucleotide variants are largely unique to individual lesions.
- Myxoid liposarcoma (MLS) is characterized primarily by the FUS-DDIT3 fusion, with primary tumors sometimes being genetically more complex than relapsed tumors.
- Complex genome sarcomas (CXS) demonstrate a gradual accumulation of both nucleotide- and chromosome-level mutations, mirroring patterns seen in carcinomas.
Conclusions:
- Clonal evolution pathways vary significantly among different sarcoma subtypes.
- The genetic landscape of sarcomas, particularly WDLS and CXS, provides insights into distinct tumor progression mechanisms.
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