Evidence map›Paper›PMID 29343995›Full record

ArticleBiomarkers in cancer2018

HumanMethylation450K Array-Identified Biomarkers Predict Tumour Recurrence/Progression at Initial Diagnosis of High-risk Non-muscle Invasive Bladder Cancer.

Mark O Kitchen, Richard T Bryan, Richard D Emes, Christopher J Luscombe, K K Cheng, Maurice P Zeegers, Nicholas D James, Lyndon M Gommersall, Anthony A Fryer

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PubMed Full text at PMC Publisher
In one paragraph

Article in Biomarkers in cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

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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

9 authors.

Mark O KitchenInstitute for Science and Technology in Medicine, Keele University, London, UK.
Richard T BryanInstitute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.
Richard D EmesAdvanced Data Analysis Centre, University of Nottingham, Nottingham, UK.
Christopher J LuscombeUrology Department, University Hospitals of North Midlands NHS Trust, Stafford, UK.
K K ChengInstitute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.
Maurice P ZeegersInstitute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.
Nicholas D JamesCancer Research Centre, University of Warwick, Coventry, UK.
Lyndon M GommersallUrology Department, University Hospitals of North Midlands NHS Trust, Stafford, UK.
Anthony A FryerInstitute for Science and Technology in Medicine, Keele University, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh-risk non-muscle invasive bladder cancer (HR-NMIBC) is a clinically unpredictable disease. Despite clinical risk estimation tools, many patients are undertreated with intra-vesical therapies alone, whereas others may be over-treated with early radical surgery. Molecular biomarkers, particularly DNA methylation, have been reported as predictive of tumour/patient outcomes in numerous solid organ and haematologic malignancies; however, there are few reports in HR-NMIBC and none using genome-wide array assessment. We therefore sought to identify novel DNA methylation markers of HR-NMIBC clinical outcomes that might predict tumour behaviour at initial diagnosis and help guide patient management. PATIENTS AND

methodsA total of 21 primary initial diagnosis HR-NMIBC tumours were analysed by Illumina HumanMethylation450 BeadChip arrays and subsequently bisulphite Pyrosequencing. In all, 7 had not recurred at 1 year after resection and 14 had recurred and/or progressed despite intra-vesical BCG. A further independent cohort of 32 HR-NMIBC tumours (17 no recurrence and 15 recurrence and/or progression despite BCG) were also assessed by bisulphite Pyrosequencing.

resultsArray analyses identified 206 CpG loci that segregated non-recurrent HR-NMIBC tumours from clinically more aggressive recurrence/progression tumours. Hypermethylation of CpG cg11850659 and hypomethylation of CpG cg01149192 in combination predicted HR-NMIBC recurrence and/or progression within 1 year of diagnosis with 83% sensitivity, 79% specificity, and 83% positive and 79% negative predictive values.

conclusionsThis is the first genome-wide DNA methylation analysis of a unique HR-NMIBC tumour cohort encompassing known 1-year clinical outcomes. Our analyses identified potential novel epigenetic markers that could help guide individual patient management in this clinically unpredictable disease.

Indexed as

epigeneticshigh-risk non-muscle invasive bladder cancerHumanMethylation450 BeadChip arraymethylationprognostic biomarker

Identifiers

PMID29343995
PMCPMC5764140

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