Evidence map›Paper›PMID 34006333›Full record

ArticleGenome medicine2021

Optimizing Nanopore sequencing-based detection of structural variants enables individualized circulating tumor DNA-based disease monitoring in cancer patients.

Jose Espejo Valle-Inclan, Christina Stangl, Anouk C de Jong, Lisanne F van Dessel, Markus J van Roosmalen, Jean C A Helmijr, Ivo Renkens, Roel Janssen, Sam de Blank, Chris J de Witte and 4 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 45 citations in OpenAlex.

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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

14 authors at 2 institutions in 1 country.

Jose Espejo Valle-Inclan *Department of Genetics, Center for Molecular Medicine, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands.
Christina Stangl *Department of Genetics, Center for Molecular Medicine, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands.
Anouk C de Jong *Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Lisanne F van DesselDepartment of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Markus J van RoosmalenDepartment of Genetics, Center for Molecular Medicine, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands.
Jean C A HelmijrDepartment of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Ivo RenkensDepartment of Genetics, Center for Molecular Medicine, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands.
Roel JanssenDepartment of Genetics, Center for Molecular Medicine, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands.
Sam de BlankDepartment of Genetics, Center for Molecular Medicine, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands.
Chris J de WitteDepartment of Genetics, Center for Molecular Medicine, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands.
John W M MartensDepartment of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Maurice P H M JansenDepartment of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Martijn P LolkemaDepartment of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands. m.lolkema@erasmusmc.nl.
Wigard P KloostermanDepartment of Genetics, Center for Molecular Medicine, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands. wigardkloosterman@gmail.com.ORCID 0000-0003-3357-4580
Utrecht University · NLErasmus MC Cancer Institute · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we describe a novel approach for rapid discovery of a set of tumor-specific genomic structural variants (SVs), based on a combination of low coverage cancer genome sequencing using Oxford Nanopore with an SV calling and filtering pipeline. We applied the method to tumor samples of high-grade ovarian and prostate cancer patients and validated on average ten somatic SVs per patient with breakpoint-spanning PCR mini-amplicons. These SVs could be quantified in ctDNA samples of patients with metastatic prostate cancer using a digital PCR assay. The results suggest that SV dynamics correlate with and may improve existing treatment-response biomarkers such as PSA. https://github.com/UMCUGenetics/SHARC .

Indexed as

Biomarkers, TumorCirculating Tumor DNAGenomic Structural VariationMolecular Diagnostic TechniquesNanopore SequencingComputational BiologyFemaleHumansLiquid BiopsyMaleNeoplasmsOrgan SpecificityReal-Time Polymerase Chain ReactionReproducibility of ResultsSensitivity and SpecificitySequence Analysis, DNABiomarkers, TumorCirculating Tumor DNACancerGenomicsLiquid biopsiesNanoporeStructural variation

Identifiers

PMID34006333
PMCPMC8130429
OpenAlexW3161096424

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.