Evidence map›Paper›PMID 27586786›Full record

ArticleBMC cancer2016

Promoter hypermethylation of HS3ST2, SEPTIN9 and SLIT2 combined with FGFR3 mutations as a sensitive/specific urinary assay for diagnosis and surveillance in patients with low or high-risk non-muscle-invasive bladder cancer.

Jean-Pierre Roperch, Bernard Grandchamp, François Desgrandchamps, Pierre Mongiat-Artus, Vincent Ravery, Idir Ouzaid, Morgan Roupret, Véronique Phe, Calin Ciofu, Florence Tubach and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 3 pooled it
4.5field-weighted citation impact, top 5% 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

40 citing papers in PubMed, 3 syntheses or guidelines pooled it, 79 citations in OpenAlex.

  1. Pooled it
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  7. Article
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  13. The Role of Novel Bladder Cancer Diagnostic and Surveillance Biomarkers-What Should a Urologist Really Know?International journal of environmental research and public health · 2022
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Tumoral markers in bladder cancer (Review).Experimental and therapeutic medicine · 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

12 authors at 5 institutions in 3 countries.

Jean-Pierre RoperchOncoDiag SAS, Agoranov, Paris, France. roperch@oncodiag.fr.ORCID 0000-0002-6745-6067
Bernard GrandchampOncoDiag SAS, Agoranov, Paris, France.
François DesgrandchampsDepartement of Urology, Saint-Louis Hospital, Paris, France.
Pierre Mongiat-ArtusDepartement of Urology, Saint-Louis Hospital, Paris, France.
Vincent RaveryDepartement of Urology, Bichat-Claude Bernard Hospital, Paris, France.
Idir OuzaidDepartement of Urology, Bichat-Claude Bernard Hospital, Paris, France.
Morgan RoupretGRC-05, University Institute of Oncology, University Paris-6, Paris, France.
Véronique PheDepartment of Urology, Pitié Hospital, Paris, France.
Calin CiofuDepartment of Urology, Tenon Hospital, Paris, France.
Florence TubachINSERM, ECEVE, UMR 1123, CIC-EC 11425, Paris, France.
Olivier CussenotGRC-05, University Institute of Oncology, University Paris-6, Paris, France.
Roberto IncittiOncoDiag SAS, Agoranov, Paris, France.
Sorbonne Université · FRUniversité Claude Bernard Lyon 1 · FRHôpital Saint-Louis · FRCytodiagnostics (Canada) · CAKing Abdullah University of Science and Technology · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-muscle-invasive bladder cancer (NMIBC) is a high incidence form of bladder cancer (BCa), where genetic and epigenetic alterations occur frequently. We assessed the performance of associating a FGFR3 mutation assay and a DNA methylation analysis to improve bladder cancer detection and to predict disease recurrence of NMIBC patients.

methodsWe used allele specific PCR to determine the FGFR3 mutation status for R248C, S249C, G372C, and Y375C. We preselected 18 candidate genes reported in the literature as being hypermethylated in cancer and measured their methylation levels by quantitative multiplex-methylation specific PCR. We selected HS3ST2, SLIT2 and SEPTIN9 as the most discriminative between control and NMIBC patients and we assayed these markers on urine DNA from a diagnostic study consisting of 167 NMIBC and 105 controls and a follow-up study consisting of 158 NMIBC at diagnosis time's and 425 at follow-up time. ROC analysis was performed to evaluate the diagnostic accuracy of each assay alone and in combination.

resultsFor Diagnosis: Using a logistic regression analysis with a model consisting of the 3 markers' methylation values, FGFR3 status, age and known smoker status at the diagnosis time we obtained sensitivity/specificity of 97.6 %/84.8 % and an optimism-corrected AUC of 0.96. With an estimated BCa prevalence of 12.1 % in a hematuria cohort, this corresponds to a negative predictive value (NPV) of 99.6 %. For Follow-up: Using a logistic regression with FGFR3 mutation and the CMI at two time points (beginning of the follow-up and current time point), we got sensitivity/specificity/NPV of 90.3 %/65.1 %/97.0 % and a corrected AUC of 0.84. We also tested a thresholding algorithm with FGFR3 mutation and the two time points as described above, obtaining sensitivity/specificity/NPV values of, respectively, 94.5 %/75.9 %/98.5 % and an AUC of 0.82.

conclusionsWe showed that combined analysis of FGFR3 mutation and DNA methylation markers on urine can be a useful strategy in diagnosis, surveillance and for risk stratification of patients with NMIBC. These results provide the basis for a highly accurate noninvasive test for population screening and allowing to decrease the frequency of cystoscopy, an important feature for both patient quality of life improvement and care cost reduction.

Indexed as

MutationAdultAgedAged, 80 and overAlgorithmsArea Under CurveBiomarkers, TumorCarcinoma, Transitional CellDNA MethylationFemaleHumansIntercellular Signaling Peptides and ProteinsLogistic ModelsMaleMiddle AgedMultiplex Polymerase Chain ReactionBiomarkers, TumorFGFR3 protein, humanIntercellular Signaling Peptides and ProteinsNerve Tissue ProteinsReceptor, Fibroblast Growth Factor, Type 3SeptinsSlit Homolog 2 ProteinSulfotransferasesDiagnosisGenetic and Epigenetic DNA biomarkersNon-muscle-invasive bladder cancerSurveillanceUrine-based assay

Identifiers

PMID27586786
PMCPMC5007990
OpenAlexW2511558499

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.