Evidence map›Paper›PMID 26051783›Full record

ArticleScientific reports2015

Biological determinants of bladder cancer gene expression subtypes.

Mattias Aine, Pontus Eriksson, Fredrik Liedberg, Gottfrid Sjödahl, Mattias Höglund

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

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

  1. Pooled it
  2. Pooled it
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  7. Integration of CD4Cancer science · 2024
    Article
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  13. Immunohistochemical Assays for Bladder Cancer Molecular Subtyping: Optimizing Parsimony and Performance of Lund Taxonomy Classifiers.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2022
    Article
  14. Review
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2 more citing papers are in PubMed but not listed here.

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.

Mattias AineDivision of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden.
Pontus ErikssonDivision of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden.
Fredrik LiedbergDivision of Urological Research, Department of Translational Medicine, Lund University, Malmö, Sweden.
Gottfrid SjödahlDivision of Urological Research, Department of Translational Medicine, Lund University, Malmö, Sweden.
Mattias HöglundDivision of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular stratification of tumors by gene expression profiling has been applied to a large number of human malignancies and holds great promise for personalized treatment. Comprehensive classification schemes for urothelial carcinoma have been proposed by three separate groups but have not previously been evaluated simultaneously in independent data. Here we map the interrelations between the proposed molecular subtypes onto the intrinsic structure of a rich independent dataset and show that subtype stratification within each scheme can be explained in terms of a set of common underlying biological processes. We highlight novel biological and genomic drivers of urothelial carcinoma molecular subtypes and show that tumors carrying genomic aberrations characteristic of distinct molecular pathways converge on a common top level phenotype corresponding to the two major molecular subtypes of non-muscle invasive disease.

Indexed as

Biomarkers, TumorDatabases, GeneticGene Expression Regulation, NeoplasticUrinary Bladder NeoplasmsHumansBiomarkers, Tumor

Identifiers

PMID26051783
PMCPMC4650643

What OpenQuestion holds

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Registered trials

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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.