Evidence map›Paper›PMID 32887686›Full record

ArticleGenome research2020

Comprehensive analysis of structural variants in breast cancer genomes using single-molecule sequencing.

Sergey Aganezov, Sara Goodwin, Rachel M Sherman, Fritz J Sedlazeck, Gayatri Arun, Sonam Bhatia, Isac Lee, Melanie Kirsche, Robert Wappel, Melissa Kramer and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
–field-weighted citation impact
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

68 citing papers in PubMed, 107 citations in OpenAlex.

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8 more citing papers are in PubMed but not listed here.

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 4 institutions in 1 country.

Sergey AganezovDepartment of Computer Science, Johns Hopkins University, Baltimore, Maryland 21211, USA.
Sara GoodwinCold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA.
Rachel M ShermanDepartment of Computer Science, Johns Hopkins University, Baltimore, Maryland 21211, USA.
Fritz J SedlazeckHuman Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA.ORCID 0000-0001-6040-2691
Gayatri ArunCold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA.
Sonam BhatiaCold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA.
Isac LeeBiomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21211, USA.
Melanie KirscheDepartment of Computer Science, Johns Hopkins University, Baltimore, Maryland 21211, USA.
Robert WappelCold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA.
Melissa KramerCold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA.
Karen KostroffNorthwell Health, Lake Success, New York 11042, USA.
David L SpectorCold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA.
Winston TimpBiomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21211, USA.ORCID 0000-0003-2083-6027
W Richard McCombieCold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA.
Michael C SchatzDepartment of Computer Science, Johns Hopkins University, Baltimore, Maryland 21211, USA.
Cold Spring Harbor Laboratory · USJohns Hopkins University · USBaylor College of Medicine · USNorthwell Health · US

Funding

Single-Cell Biology Shared ResourceP30CA045508 · NCI · COLD SPRING HARBOR LABORATORY · PI John Edward Moses · 1987 to 2026
$118.9M
Computational Methods for Genome Assembly, Transcript Assembly, and Variant DiscoveryR01HG006677 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI SALZBERG, STEVEN L. · 2011 to 2025
$10.7M
Nanopore based profiling of epigenetic stateR01HG009190 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI TIMP, WINSTON GEORGE · 2017 to 2024
$4.8M
Somatic variant calling and phasing using colored de Bruijn graphs in heterogeneous tumorsR21CA220411 · NCI · NEW YORK GENOME CENTER · PI NARZISI, GIUSEPPE · 2018 to 2019
$355k
NCI NIH HHS P30 CA045508NCI NIH HHS R21 CA220411NHGRI NIH HHS R01 HG006677NHGRI NIH HHS R01 HG009190
6 · The paper itself

Abstract

Improved identification of structural variants (SVs) in cancer can lead to more targeted and effective treatment options as well as advance our basic understanding of the disease and its progression. We performed whole-genome sequencing of the SKBR3 breast cancer cell line and patient-derived tumor and normal organoids from two breast cancer patients using Illumina/10x Genomics, Pacific Biosciences (PacBio), and Oxford Nanopore Technologies (ONT) sequencing. We then inferred SVs and large-scale allele-specific copy number variants (CNVs) using an ensemble of methods. Our findings show that long-read sequencing allows for substantially more accurate and sensitive SV detection, with between 90% and 95% of variants supported by each long-read technology also supported by the other. We also report high accuracy for long reads even at relatively low coverage (25×-30×). Furthermore, we integrated SV and CNV data into a unifying karyotype-graph structure to present a more accurate representation of the mutated cancer genomes. We find hundreds of variants within known cancer-related genes detectable only through long-read sequencing. These findings highlight the need for long-read sequencing of cancer genomes for the precise analysis of their genetic instability.

Indexed as

Genomic Structural VariationBreast NeoplasmsCell Line, TumorDNA Copy Number VariationsDNA MethylationDNA, NeoplasmFemaleHumansNanoporesOrganoidsRNA-SeqWhole Genome SequencingDNA, Neoplasm

Identifiers

PMID32887686
PMCPMC7545150
OpenAlexW3083468523

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.