Evidence map›Paper›PMID 24196429›Full record

ArticleWorld journal of urology2014

Detection of specific chromosomal aberrations in urine using BCA-1 (oligo-CGH-array) enhances diagnostic sensitivity and predicts the aggressiveness of non-muscle-invasive bladder transitional cell carcinoma.

Olivier Cussenot, Karim Sighar, Mansoor Mohammed, Sylvain Hugonin, Valérie Ondet, Stéphane Larre, Roger Lacave, Morgan Roupret, Géraldine Cancel-Tassin

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Article in World journal of urology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Olivier CussenotCeRePP, Paris, France, olivier.cussenot@wanadoo.fr.
Karim Sighar
Mansoor Mohammed
Sylvain Hugonin
Valérie Ondet
Stéphane Larre
Roger Lacave
Morgan Roupret
Géraldine Cancel-Tassin
Sorbonne Université · FRAgence France-Presse · FRInstitut Universitaire de France · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBladder carcinoma (B-TCC) is the fifth most prevalent carcinoma in the United States (US) or Europe. In addition, B-TCC is the most expensive carcinoma per patient between diagnosis and death, because of its 50-80 % recurrence rate. B-TCC is an optimal carcinoma for which to detect DNA alterations in urine, which is easily obtainable. Chromosomal aberrations in tumors have been closely related to the carcinogenesis process. MATERIAL AND

methodsWe developed a highly specific and sensitive oligo-CGH-array for the diagnosis and follow-up of B-TCC, based on the detection of chromosomal aberrations in urine samples. One hundred and sixty-four urine samples were analyzed. The qualitative results, including chromosomal aberrations, were obtained. Quantitative results are expressed as a percentage of chromosomal alterations on the autosomes.

resultsFrom the urine samples, we were able to differentiate B-TCC from non-malignant conditions with an accuracy of 100 % for patients without history of B-TCC. For follow-up of B-TCC in clinical practice, at least a deletion (8p; 9p; 9q) or a cut-off of >2 % of chromosomal imbalance was considered as a positive test. According to our criteria, 100 % of high-grade tumors were diagnosed, and the sensitivity to predict positive cystoscopy was 95 % (specificity 73 %). A cut-off >9 % was a strong signature of high-grade TCC (odds ratio 53 CI 95 % 7-417; p = 0.0002).

conclusionWe developed a sensitive clinical tool for the detection of B-TCC using DNA extracted from patient urine. This tool is also able to identify low-grade B-TCC and identify high-risk patients harboring a high-grade disease.

Indexed as

Chromosome AberrationsAgedAged, 80 and overBiomarkers, TumorCarcinoma, Transitional CellCase-Control StudiesComparative Genomic HybridizationCystoscopyFemaleHumansMaleMiddle AgedSensitivity and SpecificityUrinary Bladder NeoplasmsBiomarkers, Tumor

Identifiers

PMID24196429
PMCPMC3961601
OpenAlexW2076491272

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.