Evidence map›Paper›PMID 40109498›Full record

ArticleBladder cancer (Amsterdam, Netherlands)

Serum metabolomic analysis identified serum biomarkers predicting tumour recurrence after Bacillus Calmette-Guérin therapy in patients with non-muscle invasive bladder cancer.

Makito Miyake, Kota Iida, Nobutaka Nishimura, Sayuri Ohnishi, Takuya Owari, Tomomi Fujii, Yuki Oda, Tatsuki Miyamoto, Takuto Shimizu, Kenta Ohnishi and 6 more

Abstract read
In one paragraph

Article in Bladder cancer (Amsterdam, Netherlands). 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. Review
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

16 authors.

Makito MiyakeDepartment of Urology, Nara Medical University, Kashihara, Nara, Japan.ORCID https://orcid.org/0000-0001-9503-7356
Kota IidaDepartment of Urology, Nara Medical University, Kashihara, Nara, Japan.
Nobutaka NishimuraDepartment of Urology, Nara Medical University, Kashihara, Nara, Japan.
Sayuri OhnishiDepartment of Urology, Nara Medical University, Kashihara, Nara, Japan.
Takuya OwariDepartment of Urology, Nara Medical University, Kashihara, Nara, Japan.
Tomomi FujiiDivision of Fostering Required Medical Human Resources, Center for Infectious Disease Education and Research, Osaka University, Osaka, Japan.
Yuki OdaDepartment of Urology, Nara Medical University, Kashihara, Nara, Japan.ORCID https://orcid.org/0000-0003-3909-1133
Tatsuki MiyamotoDepartment of Urology, Nara Medical University, Kashihara, Nara, Japan.
Takuto ShimizuDepartment of Urology, Nara Medical University, Kashihara, Nara, Japan.
Kenta OhnishiDepartment of Urology, Nara Medical University, Kashihara, Nara, Japan.
Shunta HoriDepartment of Urology, Nara Medical University, Kashihara, Nara, Japan.ORCID https://orcid.org/0000-0001-9514-9964
Yosuke MorizawaDepartment of Urology, Nara Medical University, Kashihara, Nara, Japan.
Daisuke GotohDepartment of Urology, Nara Medical University, Kashihara, Nara, Japan.
Yasushi NakaiDepartment of Urology, Nara Medical University, Kashihara, Nara, Japan.
Nobumichi TanakaDepartment of Urology, Nara Medical University, Kashihara, Nara, Japan.
Kiyohide FujimotoDepartment of Urology, Nara Medical University, Kashihara, Nara, Japan.ORCID https://orcid.org/0000-0003-1507-2464

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolomic research and metabolomics-based biomarkers predicting treatment outcomes in bladder cancer remain limited. Objective: We explored the serum metabolites potentially associated with the risk of recurrence after intravesical Bacillus Calmette-Guérin (BCG) therapy. Methods: Two independent cohorts, a discovery cohort (n = 23) and a validation cohort (n = 40), were included in this study. Blood was collected before the induction of BCG therapy (pre-BCG blood; both discovery and validation cohorts) and after six doses of BCG (post-BCG blood; only discovery cohort). Metabolome analysis of serum samples was conducted using capillary electrophoresis time-of-flight mass spectrometry. The endpoint was intravesical recurrence-free survival, which was analysed using Kaplan-Meier estimates, the log-rank test, and the Cox proportional hazard model. Results: Of the 353 metabolites quantified, nine (2.5%) and four (1.1%) were significantly upregulated and downregulated, respectively. The heatmap of hierarchical clustering analysis and principal coordinate analysis for the fold changes and in serum metabolites differentiated 10 recurrent cases and 13 non-recurrent cases in the discovery cohort. A metabolome response-based scoring model using 16 metabolites, including threonine and N6,N6,N6-trimethyl-lysine effectively stratified the risk of post-BCG recurrence. Additionally, pre-BCG metabolome-based score models using six metabolites, octanoylcarnitine, S-methylcysteine-S-oxide, theobromine, carnitine, indole-3-acetic acid, and valeric acid, were developed from the discovery cohort. Univariate and multivariate analyses confirmed a high predictive accuracy in the validation and combination cohorts. Conclusions: We demonstrated that numerous types of serum metabolites were altered in response to intravesical BCG and developed high-performance score models which might effectively differentiated the risk of post-BCG tumour recurrence.

Indexed as

Bacillus Calmette-GuerinBCGmetabolitesmetabolomicsmycobacterium bovisprognosisrecurrenceserumurinary bladder neoplasms

Identifiers

PMID40109498
PMCPMC11921002

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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.