Evidence map›Paper›PMID 36353067›Full record

ArticleEuropean urology open science2022

Human Gut Mycobiome and Fungal Community Interaction: The Unknown Musketeer in the Chemotherapy Response Status in Bladder Cancer.

Laura Bukavina, Megan Prunty, Ilaha Isali, Adam Calaway, Rashida Ginwala, Mohit Sindhani, Mahmoud Ghannoum, Kirtishri Mishra, Alexander Kutikov, Robert G Uzzo and 2 more

Open access · goldAbstract read
In one paragraph

Article in European urology open science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
  3. Mycobiome: an underexplored kingdom in cancer.Microbiology and molecular biology reviews : MMBR · 2025
    Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Defining the Mycobiome in Bladder Cancer.European urology open science · 2023
    Article
  12. Review
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 2 countries.

Laura BukavinaDepartment of Urology, University Hospitals, Cleveland, OH, USA.
Megan PruntyDepartment of Urology, University Hospitals, Cleveland, OH, USA.
Ilaha IsaliDepartment of Urology, University Hospitals, Cleveland, OH, USA.
Adam CalawayDepartment of Urology, University Hospitals, Cleveland, OH, USA.
Rashida GinwalaFox Chase Cancer Center, Philadelphia, PA, USA.
Mohit SindhaniIndia Institute of Technology, Delhi, India.
Mahmoud GhannoumCase Comprehensive Cancer Center, Cleveland, OH, USA.
Kirtishri MishraDepartment of Urology, University Hospitals, Cleveland, OH, USA.
Alexander KutikovFox Chase Cancer Center, Philadelphia, PA, USA.
Robert G UzzoFox Chase Cancer Center, Philadelphia, PA, USA.
Lee E PonskyDepartment of Urology, University Hospitals, Cleveland, OH, USA.
Philip H AbboshDepartment of Pathology and Dermatology, Case Western School of Medicine, Cleveland, OH, USA.
Case Comprehensive Cancer CenterFox Chase Cancer Center · USUniversity Hospitals of Cleveland · USCase Western Reserve University · USIndian Institute of Technology Delhi · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Until recently, the properties of microbiome and mycobiome in humans and its relevance to disease have largely been unexplored. While the interest of microbiome and malignancy over the past few years have burgeoned with advent of new technologies, no research describing the composition of mycobiome in bladder cancer has been done. Deciphering of the metagenome and its aggregate genetic information can be used to understand the functional properties and relationships between the bacteria, fungi, and cancer. Objective: The aim of this project is to characterize the compositional range of the normal versus bladder cancer mycobiome of the gut. Design setting and participants: An internal transcribed spacer (ITS) survey of 52 fecal samples was performed to evaluate the gut mycobiome differences between noncancer controls and bladder cancer patients. Outcome measurements and statistical analysis: Our study evaluated the differences in mycobiome among patients with bladder cancer, versus matched controls. Our secondary analysis evaluated compositional differences in the gut as a function of response status with neoadjuvant chemotherapy. Data demultiplexing and classification were performed using the QIIME v.1.1.1.1 platform. The Ion Torrent-generated fungal ITS sequence data were processed using QIIME (v.1.9.1), and the reads were demultiplexed, quality filtered, and clustered into operation taxonomic units using default parameters. Alpha and beta diversity were computed and plotted in Phyloseq, principal coordinate analysis was performed on Bray-Curtis dissimilarity indices, and a one-way permutational multivariate analysis of variance was used to test for significant differences between cohorts. Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) was applied to infer functional categories associated with taxonomic composition. Results and limitations: We found distinctive mycobiome differences between control group ( Conclusions: Our study is the first to characterize the enteric mycobiome in patients with bladder cancer and describe complex ecological network alterations, indicating complex bacteria-fungi interactions, particularly highlighted among patients with complete neoadjuvant chemotherapy response. Patient summary: Our study has demonstrated that the composition of stool mycobiome (fungal inhabitants of the gastrointestinal tract) in patients with bladder cancer is different from that in noncancer individuals. Furthermore, when evaluating how patients respond to chemotherapy given prior to their surgery, our study noted significant differences between patients who responded and those who did not.

Indexed as

Bladder cancerMicrobiomeMycobiomeUrothelial cancer

Identifiers

PMID36353067
PMCPMC9638757
OpenAlexW4285019537

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.