AI Article Synopsis

  • Multiple myeloma is a type of cancer affecting plasma cells, characterized by specific genetic changes that evolve as the disease progresses.
  • The study introduces a new method called CapIG-seq, which efficiently detects important genetic rearrangements, oncogenic translocations, and mutations related to myeloma, addressing limitations of previous PCR-based techniques.
  • The results show that CapIG-seq aligns well with existing sequencing methods and is effective in analyzing both cancer cell lines and patient samples, indicating its potential for better understanding and monitoring myeloma.

Article Abstract

Multiple myeloma is a plasma cell neoplasm characterized by clonal immunoglobulin V(D)J signatures and oncogenic immunoglobulin gene translocations. Additional subclonal genomic changes are acquired with myeloma progression and therapeutic selection. PCR-based methods to detect V(D)J rearrangements can have biases introduced by highly multiplexed reactions and primers undermined by somatic hypermutation, and are not readily extended to include mutation detection. Here, we report a hybrid-capture approach (CapIG-seq) targeting the 3' and 5' ends of the V and J segments of all immunoglobulin loci that enable the efficient detection of V(D)J rearrangements. We also included baits for oncogenic translocations and mutation detection. We demonstrate complete concordance with matched whole-genome sequencing and/or PCR clonotyping of 24 cell lines and report the clonal sequences for 41 uncharacterized cell lines. We also demonstrate the application to patient specimens, including 29 bone marrow and 39 cell-free DNA samples. CapIG-seq shows concordance between bone marrow and cfDNA blood samples (both contemporaneous and follow-up) with regard to the somatic variant, V(D)J, and translocation detection. CapIG-seq is a novel, efficient approach to examining genomic alterations in myeloma.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9644417PMC
http://dx.doi.org/10.26508/lsa.202201543DOI Listing

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