Evidence map›Paper›PMID 39540204›Full record

ArticleCancer medicine2024

A Novel Gene Expression Scoring System Predicts Recurrence in Non-Muscle-Invasive Bladder Cancer Patients.

Emina Kayama, Motohide Uemura, Akifumi Onagi, Satoru Meguro, Soichiro Ogawa, Kei Yaginuma, Kanako Matsuoka, Seiji Hoshi, Tomoyuki Koguchi, Junya Hata and 5 more

Abstract read
In one paragraph

Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Overexpression ofDiagnostics (Basel, Switzerland) · 2025
    Article
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

15 authors.

Emina KayamaDepartment of Urology, Fukushima Medical University School of Medicine, Fukushima, Japan.ORCID 0009-0004-6647-1945
Motohide UemuraDepartment of Urology, Fukushima Medical University School of Medicine, Fukushima, Japan.ORCID 0000-0001-7263-7965
Akifumi OnagiDepartment of Urology, Fukushima Medical University School of Medicine, Fukushima, Japan.
Satoru MeguroDepartment of Urology, Fukushima Medical University School of Medicine, Fukushima, Japan.
Soichiro OgawaDepartment of Urology, Fukushima Medical University School of Medicine, Fukushima, Japan.
Kei YaginumaDepartment of Urology, Fukushima Medical University School of Medicine, Fukushima, Japan.
Kanako MatsuokaDepartment of Urology, Fukushima Medical University School of Medicine, Fukushima, Japan.
Seiji HoshiDepartment of Urology, Fukushima Medical University School of Medicine, Fukushima, Japan.ORCID 0000-0003-1545-1827
Tomoyuki KoguchiDepartment of Urology, Fukushima Medical University School of Medicine, Fukushima, Japan.ORCID 0009-0001-9045-9426
Junya HataDepartment of Urology, Fukushima Medical University School of Medicine, Fukushima, Japan.
Yuichi SatoDepartment of Urology, Fukushima Medical University School of Medicine, Fukushima, Japan.
Hidenori AkaihataDepartment of Urology, Fukushima Medical University School of Medicine, Fukushima, Japan.
Reiko HonmaNippon Gene Co. Ltd., Tokyo, Japan.
Shinya WatanabeTranslational Research Center, Fukushima Medical University, Fukushima, Japan.
Yoshiyuki KojimaDepartment of Urology, Fukushima Medical University School of Medicine, Fukushima, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the high recurrence rate of non-muscle-invasive bladder cancer (NMIBC), there are limitations in accurately predicting recurrence after transurethral resection of bladder tumor (TURBT) based on clinicopathological factors alone. However, prediction of recurrence using biomolecular characteristics of bladder tumors has not been applied to clinical practice. The objective of this study was to establish a new gene expression scoring system for identifying patients at high risk of recurrence.

methodsNMIBC and normal bladder samples were subjected to microarray analysis to obtain gene expression profiles. We identified 6 genes that were specifically upregulated in bladder cancer and also in recurrent cases. All patients were randomly grouped into a discovery cohort (n = 59) and a validation cohort (n = 30). Gene expression score (GES) was defined as the mean Z-score of the 6 genes specific for recurrent bladder cancer.

resultsThe intravesical recurrence rate of the high GES group (n = 38) was higher than the low GES group (n = 21). GES was significantly associated with recurrence-free survival in the validation cohort as well. In prognostic analysis, the European Organization for Research and Treatment of Cancer (EORTC) risk classification was not related to recurrence after TURBT in either univariate or multivariate analysis. On the other hand, the GES we developed was an independent factor for recurrence in NMIBC.

conclusionsA novel gene expression scoring system was shown to predict recurrence in NMIBC patients after TURBT and might be helpful in clinical decision-making for NMIBC patients.

Indexed as

Gene Expression ProfilingNeoplasm Recurrence, LocalUrinary Bladder NeoplasmsAgedAged, 80 and overBiomarkers, TumorFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedNeoplasm InvasivenessNon-Muscle Invasive Bladder NeoplasmsPrognosisBiomarkers, Tumorgene expressionmicroarray analysisnon‐muscle‐invasive bladder cancerprognostic biomarkerrecurrence risk

Identifiers

PMID39540204
PMCPMC11561421

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