Evidence map›Paper›PMID 32166460›Full record

ReviewCurrent urology reports2020

Genomic Subtyping in Bladder Cancer.

Tuomas Jalanko, Joep J de Jong, Ewan A Gibb, Roland Seiler, Peter C Black

Erratum issuedAbstract readReview
PubMed Publisher
In one paragraph

Review in Current urology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. A Comparative Meta-Analysis andFrontiers in veterinary science · 2020
    Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Tuomas JalankoVancouver Prostate Centre, Department of Urologic Sciences, University of British Columbia, Vancouver, Canada.ORCID https://orcid.org/0000-0002-6313-460X
Joep J de JongDepartment of Urology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Ewan A GibbDecipher Biosciences, Vancouver, Canada.
Roland SeilerDepartment of Urology, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0002-3529-2088
Peter C BlackVancouver Prostate Centre, Department of Urologic Sciences, University of British Columbia, Vancouver, Canada. pblack@mail.ubc.ca.ORCID https://orcid.org/0000-0002-2919-7068

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewMolecular characterization of cancer allows us to understand oncogenesis and clinical prognosis as well as facilitates development of biomarkers and treatment. Our aim was to review the current literature on genomic characterization of bladder cancer, and how far we are in implementing genomics into clinical practice. RECENT

findingsBladder cancers are molecularly diverse tumors with a high mutational rate. On molecular level, bladder cancer can be categorized into at least six subtypes called luminal-papillary, luminal-unstable, luminal non-specified, basal-squamous, neuroendocrine-like, and stroma-rich. These subtypes have characteristic genomic and transcriptomic profiles and appear to have different prognoses. Several molecular subtypes have been identified in bladder cancer. Prospective trials are underway to validate the applicability of genomic subtypes for clinical decision making. Further integrative analyses of genomic alterations, gene expression, epigenetics, and proteomics need to be performed before genomic subtyping can be attained in clinical practice.

Indexed as

Biomarkers, TumorGenomicsHumansMutationPrognosisUrinary Bladder NeoplasmsBiomarkers, TumorBladder cancerGenomic analysisImmunotherapyMolecular subtypingMutationsNeoadjuvant chemotherapy

Identifiers

What OpenQuestion holds

Textmetadata
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.