Evidence map›Paper›PMID 29487377›Full record

ArticleScientific reports2018

A validation and extended description of the Lund taxonomy for urothelial carcinoma using the TCGA cohort.

Nour-Al-Dain Marzouka, Pontus Eriksson, Carlos Rovira, Fredrik Liedberg, Gottfrid Sjödahl, Mattias Höglund

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 1 pooled it
18.0field-weighted citation impact, top 1% 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

97 citing papers in PubMed, 1 synthesis or guideline pooled it, 181 citations in OpenAlex.

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37 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

6 authors at 2 institutions in 1 country.

Nour-Al-Dain MarzoukaDivision of Oncology and Pathology, Department of Clinical Sciences, Lund University, Lund, Sweden.
Pontus ErikssonDivision of Oncology and Pathology, Department of Clinical Sciences, Lund University, Lund, Sweden.
Carlos RoviraDivision of Oncology and Pathology, Department of Clinical Sciences, Lund University, Lund, Sweden.
Fredrik LiedbergDivision of Urological Research, Department of Translational Medicine, Lund University, Skåne University Hospital, Malmö, Sweden.
Gottfrid SjödahlDivision of Urological Research, Department of Translational Medicine, Lund University, Skåne University Hospital, Malmö, Sweden. gottfrid.sjodahl@med.lu.se.
Mattias HöglundDivision of Oncology and Pathology, Department of Clinical Sciences, Lund University, Lund, Sweden.
Lund University · SESkåne University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global gene expression analysis has been a major tool for urothelial carcinoma subtype discovery. This approach has revealed extensive complexity both in intrinsic features of the tumor cells and in the microenvironment. However, global gene expression cannot distinguish between gene expression signals originating from the tumor cells proper and from normal cells in the biopsy. Here, we use a large cohort of advanced urothelial carcinomas for which both gene expression data and extensive immunohistochemistry are available to create a supervised mRNA expression centroid classifier. This classifier identifies the major Lund taxonomy tumor cell phenotypes as defined by IHC. We apply this classifier to the independent TCGA dataset and show excellent associations between identified subtypes and genomic features. We validate a progressed version of Urothelial-like A (UroA-Prog) that shows FGFR3 mutations and CDKN2A deletions, and we show that the variant Urothelial-like C is almost devoid of FGFR3 mutations. We show that Genomically Unstable tumors are very distinct from Urothelial-like tumors at the genomic level, and that tumors classified as Basal/SCC-like all complied with the established definition for Basal/SCC-like tumors. We identify the Mesenchymal-like and Small-cell/Neuroendocrine-like subtypes, and demonstrate that patients with UroB and Sc/NE-like tumors show the worst overall survival.

Indexed as

Biomarkers, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticGenomicsHumansImmunohistochemistryKaplan-Meier EstimateMutationPhenotypeRNA, MessengerTranscription FactorsTranscriptomeUrinary Bladder NeoplasmsUrologic NeoplasmsUrotheliumBiomarkers, TumorRNA, MessengerTranscription Factors

Identifiers

PMID29487377
PMCPMC5829240
OpenAlexW2791111208

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.