Evidence map›Paper›PMID 35057759›Full record

ArticleBMC cancer2022

Whole genome deep sequencing analysis of cell-free DNA in samples with low tumour content.

Devika Ganesamoorthy, Alan James Robertson, Wenhan Chen, Michael B Hall, Minh Duc Cao, Kaltin Ferguson, Sunil R Lakhani, Katia Nones, Peter T Simpson, Lachlan J M Coin

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.2field-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

17 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
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  9. Clonal tracking in cancer and metastasis.Cancer metastasis reviews · 2024
    Review
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  12. Article
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  14. [Research progress on circulating tumor DNA as a biomarker for minimal residual disease in solid tumors].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2023
    Review
  15. Article
  16. Review
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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

10 authors at 2 institutions in 2 countries.

Devika GanesamoorthyInstitute for Molecular Bioscience, University of Queensland, St Lucia, Brisbane, Australia. d.ganesamoorthy@uq.edu.au.ORCID http://orcid.org/0000-0001-8149-6703
Alan James RobertsonInstitute for Molecular Bioscience, University of Queensland, St Lucia, Brisbane, Australia.
Wenhan ChenInstitute for Molecular Bioscience, University of Queensland, St Lucia, Brisbane, Australia.
Michael B HallInstitute for Molecular Bioscience, University of Queensland, St Lucia, Brisbane, Australia.
Minh Duc CaoInstitute for Molecular Bioscience, University of Queensland, St Lucia, Brisbane, Australia.
Kaltin FergusonCentre for Clinical Research, Faculty of Medicine, The University of Queensland, Herston, Brisbane, Australia.
Sunil R LakhaniCentre for Clinical Research, Faculty of Medicine, The University of Queensland, Herston, Brisbane, Australia.
Katia NonesQIMR Berghofer Medical Research Institute, Herston, Brisbane, Australia.
Peter T SimpsonCentre for Clinical Research, Faculty of Medicine, The University of Queensland, Herston, Brisbane, Australia.
Lachlan J M CoinInstitute for Molecular Bioscience, University of Queensland, St Lucia, Brisbane, Australia. lachlan.coin@unimelb.edu.au.
The University of Queensland · AUQIMR Berghofer Medical Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCirculating cell-free DNA (cfDNA) in the plasma of cancer patients contains cell-free tumour DNA (ctDNA) derived from tumour cells and it has been widely recognized as a non-invasive source of tumour DNA for diagnosis and prognosis of cancer. Molecular profiling of ctDNA is often performed using targeted sequencing or low-coverage whole genome sequencing (WGS) to identify tumour specific somatic mutations or somatic copy number aberrations (sCNAs). However, these approaches cannot efficiently detect all tumour-derived genomic changes in ctDNA.

methodsWe performed WGS analysis of cfDNA from 4 breast cancer patients and 2 patients with benign tumours. We sequenced matched germline DNA for all 6 patients and tumour samples from the breast cancer patients. All samples were sequenced on Illumina HiSeqXTen sequencing platform and achieved approximately 30x, 60x and 100x coverage on germline, tumour and plasma DNA samples, respectively.

resultsThe mutational burden of the plasma samples (1.44 somatic mutations/Mb of genome) was higher than the matched tumour samples. However, 90% of high confidence somatic cfDNA variants were not detected in matched tumour samples and were found to comprise two background plasma mutational signatures. In contrast, cfDNA from the di-nucleosome fraction (300 bp-350 bp) had much higher proportion (30%) of variants shared with tumour. Despite high coverage sequencing we were unable to detect sCNAs in plasma samples.

conclusionsDeep sequencing analysis of plasma samples revealed higher fraction of unique somatic mutations in plasma samples, which were not detected in matched tumour samples. Sequencing of di-nucleosome bound cfDNA fragments may increase recovery of tumour mutations from plasma.

Indexed as

AdultBiomarkers, TumorBreast NeoplasmsCirculating Tumor DNADNA Mutational AnalysisFemaleHigh-Throughput Nucleotide SequencingHumansMutationPrognosisWhole Genome SequencingBiomarkers, TumorCirculating Tumor DNACell-free DNACell-free tumour DNAMutational signaturesSomatic mutations

Identifiers

PMID35057759
PMCPMC8772083
OpenAlexW4205147364

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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.