Evidence map›Paper›PMID 28195647›Full record

ArticleThe Journal of pathology2017

Molecular classification of urothelial carcinoma: global mRNA classification versus tumour-cell phenotype classification.

Gottfrid Sjödahl, Pontus Eriksson, Fredrik Liedberg, Mattias Höglund

Abstract read
In one paragraph

Article in The Journal of pathology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 191 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
191citing papers in PubMed, 1 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

191 citing papers in PubMed, 1 synthesis or guideline pooled it.

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131 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Gottfrid SjödahlDivision of Urological Research, Department of Translational Medicine, Lund University, Skåne University Hospital, Malmö, Sweden.
Pontus ErikssonDivision 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.
Mattias HöglundDivision of Oncology and Pathology, Department of Clinical Sciences, Lund University, Lund, Sweden.ORCID 0000-0001-9283-4421

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global mRNA expression analysis is efficient for phenotypic profiling of tumours, and has been used to define molecular subtypes for almost every major tumour type. A key limitation is that most tumours are communities of both tumour and non-tumour cells. This problem is particularly pertinent for analysis of advanced invasive tumours, which are known to induce major changes and responses in both the tumour and the surrounding tissue. To identify bladder cancer tumour-cell phenotypes and compare classification by tumour-cell phenotype with classification by global gene expression analysis, we analysed 307 advanced bladder cancers (cystectomized) both by genome gene expression analysis and by immunohistochemistry with antibodies for 28 proteins. According to systematic analysis of gene and protein expression data, focusing on key molecular processes, we describe five tumour-cell phenotypes of advanced urothelial carcinoma: urothelial-like, genomically unstable, basal/SCC-like, mesenchymal-like, and small-cell/neuroendocrine-like. We provide molecular pathological definitions for each subtype. Tumours expressing urothelial differentiation factors show inconsistent and abnormal protein expression of terminal differentiation markers, suggesting pseudo-differentiation. Cancers with different tumour-cell phenotypes may co-cluster (converge), and cases with identical tumour-cell phenotypes may cluster apart (diverge), in global mRNA analyses. This divergence/convergence suggests that broad global commonalities related to the invasive process may exist between muscle-invasive tumours regardless of specific tumour-cell phenotype. Hence, there is a systematic disagreement in subtype classification determined by global mRNA profiling and by immunohistochemical profiling at the tumour-cell level. We suggest that a combination of molecular pathology (tumour-cell phenotype) and global mRNA profiling (context) is required for adequate subtype classification of muscle-invasive bladder cancer. © 2017 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.

Indexed as

Biomarkers, TumorCell DifferentiationGene Expression Regulation, NeoplasticHumansNeoplasm GradingNeoplasm InvasivenessNeoplasm ProteinsNeoplasm StagingPhenotypeRNA, MessengerRNA, NeoplasmTranscriptomeUrinary Bladder NeoplasmsBiomarkers, TumorNeoplasm ProteinsRNA, MessengerRNA, Neoplasmbladder cancermolecular classificationpseudo-differentiationtumour-cell phenotypes

Identifiers

PMID28195647
PMCPMC5413843

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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.