Evidence map›Paper›PMID 38298766›Full record

ArticleEuropean urology open science2024

Microbiome Profiling in Bladder Cancer Patients Using the First-morning Urine Sample.

Carmela Nardelli, Achille Aveta, Savio Domenico Pandolfo, Lorella Tripodi, Filippo Russo, Ciro Imbimbo, Giuseppe Castaldo, Lucio Pastore

Open access · goldAbstract read
In one paragraph

Article in European urology open science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
13.7field-weighted citation impact, top 1% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
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  12. Prostate and urinary microbiomes in prostate cancer development: focus onFrontiers in cellular and infection microbiology · 2025
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  19. Insights intoMicroorganisms · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Carmela NardelliCEINGE-Biotecnologie Avanzate Franco Salvatore, Naples, Italy.
Achille AvetaDipartimento di Neuroscienze, Scienze Riproduttive e Odontostomatologiche, Università degli Studi di Napoli Federico II, Naples, Italy.
Savio Domenico PandolfoCEINGE-Biotecnologie Avanzate Franco Salvatore, Naples, Italy.
Lorella TripodiCEINGE-Biotecnologie Avanzate Franco Salvatore, Naples, Italy.
Filippo RussoCEINGE-Biotecnologie Avanzate Franco Salvatore, Naples, Italy.
Ciro ImbimboDipartimento di Neuroscienze, Scienze Riproduttive e Odontostomatologiche, Università degli Studi di Napoli Federico II, Naples, Italy.
Giuseppe CastaldoCEINGE-Biotecnologie Avanzate Franco Salvatore, Naples, Italy.
Lucio PastoreCEINGE-Biotecnologie Avanzate Franco Salvatore, Naples, Italy.
Ceinge Biotecnologie Avanzate (Italy) · ITUniversity of Naples Federico II · ITUniversity of L'Aquila · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Several studies support the interplay between the urinary microbiome (ie, urobiome) and bladder cancer (BCa). Specific urinary bacteria may be responsible for chronic inflammation, which in turn promotes carcinogenesis. Different signatures of urobiome in BCa patients were identified depending on tumor type, geographical area, age, and sex. Objective: We explored the urobiome in BCa patients undergoing transurethral resection of bladder tumor (TURBT), to identify possible predictive biomarkers of cancer. Design setting and participants: The urobiome analysis was conducted in 48 patients (13 females) undergoing TURBT, of whom 30 with BCa (five females) and 18 with benign bladder tumor, analyzing bacterial 16S rRNA by next-generation sequencing in first-morning (FM) urine samples. Forty-three cancer-free individuals and 17 prostate cancer patients were used as controls. Outcome measurements and statistical analysis: First, we identified the better urine collection procedure to perform the urobiome analysis, comparing bacterial composition between catheterized (CAT) and FM urine samples in TURBT patients. Successively, we observed a specific urobiome in BCa patients rather than controls. A combined pipeline including the DESeq2 and linear discriminant analysis effect size tests was used to identify differential urinary taxa, strictly associated with BCa patients. Results and limitations: The bacterial composition of CAT and FM urine samples was comparable, so the latter was used for the following analyses. An increased abundance of Conclusions: FM urine samples represent a manageable specimen for a urobiome analysis; Patient summary: Our study showed an increased abundance of

Indexed as

Bladder cancerMicrobiomePorphyromonasProstate cancerUrine

Identifiers

PMID38298766
PMCPMC10829607
OpenAlexW4389981848

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.