Evidence map›Paper›PMID 33670576›Full record

ArticleJournal of personalized medicine2021

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

David Y Goldrich, Brandon LaBarge, Scott Chartrand, Lijun Zhang, Henry B Sadowski, Yang Zhang, Khoa Pham, Hannah Way, Chi-Yu Jill Lai, Andy Wing Chun Pang and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 37 citations in OpenAlex.

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  15. Reclassification ofGenes · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 2 institutions in 1 country.

David Y GoldrichDepartment of Otolaryngology-Head and Neck Surgery, Pennsylvania State University College of Medicine, Hershey, PA 17033, USA.
Brandon LaBargeDepartment of Otolaryngology-Head and Neck Surgery, Pennsylvania State University College of Medicine, Hershey, PA 17033, USA.
Scott ChartrandDepartment of Biochemistry and Molecular Biology, Pennsylvania State University College of Medicine, Hershey, PA 17033, USA.
Lijun ZhangDepartment of Biochemistry and Molecular Biology, Pennsylvania State University College of Medicine, Hershey, PA 17033, USA.
Henry B SadowskiBionano Genomics, San Diego, CA 92121, USA.
Yang ZhangBionano Genomics, San Diego, CA 92121, USA.
Khoa PhamBionano Genomics, San Diego, CA 92121, USA.
Hannah WayBionano Genomics, San Diego, CA 92121, USA.
Chi-Yu Jill LaiBionano Genomics, San Diego, CA 92121, USA.ORCID 0000-0002-5498-1946
Andy Wing Chun PangBionano Genomics, San Diego, CA 92121, USA.
Benjamin CliffordBionano Genomics, San Diego, CA 92121, USA.
Alex R HastieBionano Genomics, San Diego, CA 92121, USA.
Mark OldakowskiBionano Genomics, San Diego, CA 92121, USA.
David GoldenbergDepartment of Otolaryngology-Head and Neck Surgery, Pennsylvania State University College of Medicine, Hershey, PA 17033, USA.
James R BroachDepartment of Biochemistry and Molecular Biology, Pennsylvania State University College of Medicine, Hershey, PA 17033, USA.
BioNano Genomics (United States) · USPennsylvania State University · US

Funding

George Laverty Foundation none
6 · The paper itself

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.

Indexed as

cancer genomicsoptical genome mappingsolid tumors

Identifiers

PMID33670576
PMCPMC7921992
OpenAlexW3131267159

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.