Evidence map›Paper›PMID 29544183›Full record

ArticleNeoplasia (New York, N.Y.)2018

Functional Genomics Profiling of Bladder Urothelial Carcinoma MicroRNAome as a Potential Biomarker.

Wei Tse Li, Hao Zheng, Vincent Nguyen, Jessica Wang-Rodriguez, Weg M Ongkeko

Abstract read
In one paragraph

Article in Neoplasia (New York, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. MicroRNAs: Key Players in Bladder Cancer.Molecular diagnosis & therapy · 2019
    Review
  5. Article
  6. 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

5 authors.

Wei Tse LiDepartment of Surgery, University of California, San Diego, La Jolla, California, USA. Electronic address: wtl008@ucsd.edu.
Hao ZhengDepartment of Surgery, University of California, San Diego, La Jolla, California, USA. Electronic address: hzheng@vapop.ucsd.edu.
Vincent NguyenDepartment of Surgery, University of California, San Diego, La Jolla, California, USA. Electronic address: v5nguyen@ucsd.edu.
Jessica Wang-RodriguezVeterans Administration Medical Center and Department of Pathology, University of California San Diego, La Jolla, California, USA. Electronic address: jessica.wang-rodriguez@va.gov.
Weg M OngkekoDepartment of Surgery, University of California, San Diego, La Jolla, California, USA. Electronic address: wongkeko@ucsd.edu.

Funding

Non-coding RNAs in salivary gland tumorR21DE023242 · NIDCR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ONGKEKO, RUTHERFORD M · 2012 to 2013
$417k
NIDCR NIH HHS R21 DE023242
6 · The paper itself

Abstract

Though bladder urothelial carcinoma is the most common form of bladder cancer, advances in its diagnosis and treatment have been modest in the past few decades. To evaluate miRNAs as putative disease markers for bladder urothelial carcinoma, this study develops a process to identify dysregulated miRNAs in cancer patients and potentially stratify patients based on the association of their microRNAome phenotype to genomic alterations. Using RNA sequencing data for 409 patients from the Cancer Genome Atlas, we examined miRNA differential expression between cancer and normal tissues and associated differentially expressed miRNAs with patient survival and clinical variables. We then correlated miRNA expressions with genomic alterations using the Wilcoxon test and REVEALER. We found a panel of six miRNAs dysregulated in bladder cancer and exhibited correlations to patient survival. We also performed differential expression analysis and clinical variable correlations to identify miRNAs associated with tobacco smoking, the most important risk factor for bladder cancer. Two miRNAs, miR-323a and miR-431, were differentially expressed in smoking patients compared to nonsmoking patients and were associated with primary tumor size. Functional studies of these miRNAs and the genomic features we identified for potential stratification may reveal underlying mechanisms of bladder cancer carcinogenesis and further diagnosis and treatment methods for urothelial bladder carcinoma.

Indexed as

Biomarkers, TumorCarcinomaFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGenomicsHumansMaleMicroRNAsUrinary BladderUrinary Bladder NeoplasmsBiomarkers, TumorMicroRNAs

Identifiers

PMID29544183
PMCPMC5857480

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.