Evidence map›Paper›PMID 30138427›Full record

ArticlePloS one2018

ARID1A-deficiency in urothelial bladder cancer: No predictive biomarker for EZH2-inhibitor treatment response?

Stefan Garczyk, Ursula Schneider, Isabella Lurje, Katharina Becker, Thomas A Vögeli, Nadine T Gaisa, Ruth Knüchel

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

18 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
  2. Article
  3. The Role of SWI/SNF Complex in Bladder Cancer.Journal of cellular and molecular medicine · 2025
    Review
  4. Article
  5. Review
  6. Targeting super-enhancer activity for colorectal cancer therapy.American journal of translational research · 2024
    Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. PeerJ · 2020
    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

7 authors at 1 institution in 1 country.

Stefan GarczykUropathology Group, Institute of Pathology, University Hospital RWTH Aachen, Aachen, Germany.ORCID 0000-0001-5447-3207
Ursula SchneiderUropathology Group, Institute of Pathology, University Hospital RWTH Aachen, Aachen, Germany.
Isabella LurjeUropathology Group, Institute of Pathology, University Hospital RWTH Aachen, Aachen, Germany.
Katharina BeckerUropathology Group, Institute of Pathology, University Hospital RWTH Aachen, Aachen, Germany.
Thomas A VögeliDepartment of Urology, University Hospital RWTH Aachen, Aachen, Germany.
Nadine T GaisaUropathology Group, Institute of Pathology, University Hospital RWTH Aachen, Aachen, Germany.
Ruth KnüchelUropathology Group, Institute of Pathology, University Hospital RWTH Aachen, Aachen, Germany.
RWTH Aachen University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bladder cancer therapy relies on aggressive treatments highlighting the need for new, targeted therapies with reduced side effects. SWI/SNF complexes are mutated in ~20% across human cancers and dependency of SWI/SNF-deficient tumors on EZH2 has been uncovered recently. To systematically dissect the frequency of genetic alterations in SWI/SNF complexes potentially contributing to their inactivation, mutations and copy number variations in 25 SWI/SNF subunit genes were analyzed making use of publicly available sequencing data for 408 muscle-invasive bladder carcinoma samples. ARID1A truncating mutations were identified as the by far most common alterations of SWI/SNF complexes in urothelial bladder cancer. As current ARID1A protein expression data in bladder cancer are inconsistent and incomplete we examined if the frequency of truncating ARID1A mutations translates into a similar frequency of cases showing ARID1A protein loss. We applied a validated ARID1A antibody conducting a comprehensive immunohistochemistry-based expression analysis in urothelial bladder cancer (n = 362) including carcinoma in situ (CIS) cases. While observing increased median ARID1A protein levels in all carcinoma subgroups compared to normal urothelial controls (n = 21), the percentage of cases showing ARID1A protein loss was positively correlated with increasing stage and grade culminating in a rate of 14.1% in muscle-invasive disease. ARID1A-depletion did neither increase EZH2 protein or trimethylated H3K27 levels in vitro nor did ARID1A expression correlate with EZH2 or H3K27me3 amounts in human bladder carcinomas. Importantly, ARID1A-deficiency was neither associated with enhanced sensitivity towards inhibition of EZH2 enzymatic activity nor depletion of EZH2 protein. In summary, ARID1A truncating mutations, potentially translating into ARID1A protein loss in a subset of high-grade bladder cancers, are the most common SWI/SNF genetic alterations in bladder cancer. Our data do not support ARID1A-deficiency as predictive biomarker for EZH2-inhibitor treatment response in bladder cancer underlining the need for future bladder cancer-specific, drug screens for successfull discovery of ARID1A-deficiency-based targeted drugs.

Indexed as

Biomarkers, TumorCarcinomaDNA-Binding ProteinsDNA Copy Number VariationsDNA Mutational AnalysisEnhancer of Zeste Homolog 2 ProteinHumansImmunohistochemistryKaplan-Meier EstimateNuclear ProteinsSignal TransductionTranscription FactorsUrinary Bladder NeoplasmsUrotheliumARID1A protein, humanBiomarkers, TumorDNA-Binding ProteinsEnhancer of Zeste Homolog 2 ProteinEZH2 protein, humanNuclear ProteinsTranscription Factors

Identifiers

PMID30138427
PMCPMC6107234
OpenAlexW2888201043

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.