Evidence map›Paper›PMID 29430506›Full record

ArticleBladder cancer (Amsterdam, Netherlands)2018

Toward Personalised Liquid Biopsies for Urothelial Carcinoma: Characterisation of ddPCR and Urinary cfDNA for the Detection of the

Ilaria J Russo, Yongwon Ju, Naheema S Gordon, Maurice P Zeegers, K K Cheng, Nicholas D James, Richard T Bryan, Douglas G Ward

Open access · bronzeAbstract read
In one paragraph

Article in Bladder cancer (Amsterdam, Netherlands), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
6.9field-weighted citation impact, top 3% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Pooled it
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  12. Frontiers in immunology · 2022
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  19. Clinical Application ofFrontiers in oncology · 2021
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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

8 authors at 2 institutions in 2 countries.

Ilaria J RussoInstitute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
Yongwon JuInstitute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
Naheema S GordonInstitute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
Maurice P ZeegersNUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands.
K K ChengInstitute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
Nicholas D JamesInstitute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
Richard T BryanInstitute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
Douglas G WardInstitute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
University of Birmingham · GBMaastricht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background

objectiveIn this proof-of-principle study we use ddPCR to count the DNA molecules with wt and mutant

methodsUrinary cfDNA prepared from the urine from 104 bladder cancer patients was analysed. We determined the mutant allele frequency across stages and grades of disease, analysed concordance between cfDNA and tumour DNA, compared cfDNA with pellet DNA, and analysed the quantity and size distribution of cfDNA.

resultsIn 71 of 77 patients with a 228 G>A/T mutant tumour, the mutation was also detected in urinary cfDNA by ddPCR; all 6 "false negatives" were low grade pTa tumours. Overall concordance between tissue and cfDNA mutation status was 92%, and 100% was achieved for high grade disease. Median mutant allele frequencies in urinary cfDNA were 3.4, 13.4 and 32.1% in grade 1, 2 and 3 disease. The 228 G>A/T mutation was not detected in urinary cfDNA in 26 out of 27 mutation-negative patients (96% specificity).

conclusionsConcordance between tumour DNA and urinary cfDNA is high, and

Indexed as

biomarkerBladder cancercfDNAddPCRTERTurine

Identifiers

PMID29430506
PMCPMC5798520
OpenAlexW2784574733

What OpenQuestion holds

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LicenceCC BY-NC
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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.