Literature DB >> 33670576

Identification of Somatic Structural Variants in Solid Tumors by Optical Genome Mapping.

David Y Goldrich1, Brandon LaBarge1, Scott Chartrand2, Lijun Zhang2, Henry B Sadowski3, Yang Zhang3, Khoa Pham3, Hannah Way3, Chi-Yu Jill Lai3, Andy Wing Chun Pang3, Benjamin Clifford3, Alex R Hastie3, Mark Oldakowski3, David Goldenberg1, James R Broach2.   

Abstract

Genomic structural variants comprise a significant fraction of somatic mutations driving cancer onset and progression. However, such variants are not readily revealed by standard next-generation sequencing. Optical genome mapping (OGM) surpasses short-read sequencing in detecting large (>500 bp) and complex structural variants (SVs) but requires isolation of ultra-high-molecular-weight DNA from the tissue of interest. We have successfully applied a protocol involving a paramagnetic nanobind disc to a wide range of solid tumors. Using as little as 6.5 mg of input tumor tissue, we show successful extraction of high-molecular-weight genomic DNA that provides a high genomic map rate and effective coverage by optical mapping. We demonstrate the system's utility in identifying somatic SVs affecting functional and cancer-related genes for each sample. Duplicate/triplicate analysis of select samples shows intra-sample reliability but also intra-sample heterogeneity. We also demonstrate that simply filtering SVs based on a GRCh38 human control database provides high positive and negative predictive values for true somatic variants. Our results indicate that the solid tissue DNA extraction protocol, OGM and SV analysis can be applied to a wide variety of solid tumors to capture SVs across the entire genome with functional importance in cancer prognosis and treatment.

Entities:  

Keywords:  cancer genomics; optical genome mapping; solid tumors

Year:  2021        PMID: 33670576     DOI: 10.3390/jpm11020142

Source DB:  PubMed          Journal:  J Pers Med        ISSN: 2075-4426


  3 in total

1.  Optical genome mapping identifies clinically relevant genomic rearrangements in prostate cancer biopsy sample.

Authors:  Yeeun Shim; Jongsoo Lee; Jieun Seo; Cheol Keun Park; Saeam Shin; Hyunho Han; Seung-Tae Lee; Jong Rak Choi; Byung Ha Chung; Young Deuk Choi
Journal:  Cancer Cell Int       Date:  2022-10-08       Impact factor: 6.429

2.  Next-generation cytogenetics: Comprehensive assessment of 52 hematological malignancy genomes by optical genome mapping.

Authors:  Kornelia Neveling; Tuomo Mantere; Susan Vermeulen; Michiel Oorsprong; Ronald van Beek; Ellen Kater-Baats; Marc Pauper; Guillaume van der Zande; Dominique Smeets; Daniel Olde Weghuis; Marian J P L Stevens-Kroef; Alexander Hoischen
Journal:  Am J Hum Genet       Date:  2021-07-07       Impact factor: 11.025

3.  Deciphering complex genome rearrangements in C. elegans using short-read whole genome sequencing.

Authors:  Tatiana Maroilley; Xiao Li; Matthew Oldach; Francesca Jean; Susan J Stasiuk; Maja Tarailo-Graovac
Journal:  Sci Rep       Date:  2021-09-14       Impact factor: 4.379

  3 in total

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