Evidence map›Paper›PMID 26988609›Full record

ArticleEuropean urology2016

Gene Expression Profile of the Clinically Aggressive Micropapillary Variant of Bladder Cancer.

Charles Chuanhai Guo, Vipulkumar Dadhania, Li Zhang, Tadeusz Majewski, Jolanta Bondaruk, Maciej Sykulski, Weronika Wronowska, Anna Gambin, Yan Wang, Shizhen Zhang and 9 more

Open access · greenAbstract read
In one paragraph

Article in European urology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 3 pooled it
19.1field-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

77 citing papers in PubMed, 3 syntheses or guidelines pooled it, 156 citations in OpenAlex.

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 2 institutions in 2 countries.

Charles Chuanhai GuoDepartment of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Vipulkumar DadhaniaDepartment of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Li ZhangDepartment of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Tadeusz MajewskiDepartment of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Jolanta BondarukDepartment of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Maciej SykulskiInstitute of Informatics, University of Warsaw, Warsaw, Poland.
Weronika WronowskaFaculty of Biology, University of Warsaw, Warsaw, Poland.
Anna GambinInstitute of Informatics, University of Warsaw, Warsaw, Poland.
Yan WangDepartment of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Shizhen ZhangDepartment of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Enrique Fuentes-MatteiDepartment of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Ashish Madhav KamatDepartment of Urology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Colin DinneyDepartment of Urology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Arlene Siefker-RadtkeDepartment of Genitourinary Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Woonyoung ChoiDepartment of Urology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Keith A BaggerlyDepartment of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
David McConkeyDepartment of Urology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
John N WeinsteinDepartment of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Bogdan CzerniakDepartment of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, USA. Electronic address: bczernia@mdanderson.org.
The University of Texas MD Anderson Cancer Center · USUniversity of Warsaw · PL

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Targeting Ral GTPases in Bladder CancerP50CA091846 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DINNEY, COLIN P.N., MCCONKEY, DAVID J. · 2001 to 2018
$37.4M
Batch effects in molecular profiling data on cancers: detection, quantitation, interpretation, and correctionU24CA210949 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AKBANI, REHAN, MILLS, GORDON B. · 2016 to 2020
$1.9M
Multidisciplinary Subspecialty Pathology Research Fellowship ProgramT32CA163185 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CZERNIAK, BOGDAN A, KEYOMARSI, KHANDAN · 2011 to 2015
$1.7M
Aurora Kinase A as a Biomarker for the Detection of Bladder CancerR01CA151489 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CZERNIAK, BOGDAN A · 2010 to 2013
$1.6M
NCI NIH HHS L30 CA199587NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA091846NCI NIH HHS R01 CA151489NCI NIH HHS T32 CA163185NCI NIH HHS U24 CA210949
6 · The paper itself

Abstract

backgroundProgression of conventional urothelial carcinoma of the bladder to a tumor with unique microscopic features referred to as micropapillary carcinoma is coupled with aggressive clinical behavior signified by a high propensity for metastasis to regional lymph nodes and distant organs resulting in shorter survival.

objectiveTo analyze the expression profile of micropapillary cancer and define its molecular features relevant to clinical behavior. DESIGN, SETTING, AND

participantsWe retrospectively identified 43 patients with micropapillary bladder cancers and a reference set of 89 patients with conventional urothelial carcinomas and performed whole-genome expression messenger RNA profiling. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The tumors were segregated into distinct groups according to hierarchical clustering analyses. They were also classified according to luminal, p53-like, and basal categories using a previously described algorithm. We applied Ingenuity Pathway Analysis software (Qiagen, Redwood City, CA, USA) and gene set enrichment analysis for pathway analyses. Cox proportional hazards models and Kaplan-Meier methods were used to assess the relationship between survival and molecular subtypes. The expression profile of micropapillary cancer was validated for selected markers by immunohistochemistry on parallel tissue microarrays. RESULTS AND LIMITATIONS: We show that the striking features of micropapillary cancer are downregulation of miR-296 and activation of chromatin-remodeling complex RUVBL1. In contrast to conventional urothelial carcinomas that based on their expression can be equally divided into luminal and basal subtypes, micropapillary cancer is almost exclusively luminal, displaying enrichment of active peroxisome proliferator-activated receptor γ and suppression of p63 target genes. As with conventional luminal urothelial carcinomas, a subset of micropapillary cancers exhibit activation of wild-type p53 downstream genes and represent the most aggressive molecular subtype of the disease with the shortest survival. The involvement of miR-296 and RUVBL1 in the development of micropapillary bladder cancer was identified by the analyses of correlative associations of genome expression profiles and requires mechanistic validation.

conclusionsMicropapillary cancer evolves through the luminal pathway and is characterized by the activation of miR-296 and RUVBL1 target genes. PATIENT SUMMARY: Our observations have important implications for prognosis and for possible future development of more effective therapies for micropapillary bladder cancer.

Indexed as

TranscriptomeATPases Associated with Diverse Cellular ActivitiesCarcinoma, Transitional CellCarrier ProteinsDNA HelicasesDown-RegulationGATA3 Transcription FactorHumansHyaluronan ReceptorsImmunohistochemistryKaplan-Meier EstimateKeratin-14MicroRNAsPPAR gammaProportional Hazards ModelsRetrospective StudiesATPases Associated with Diverse Cellular ActivitiesCarrier ProteinsCD44 protein, humanDNA HelicasesGATA3 protein, humanGATA3 Transcription FactorHyaluronan ReceptorsKeratin-14KRT14 protein, humanMicroRNAsMIRN296 microRNA, humanPPAR gammaRNA, MessengerRUVBL1 protein, humanTP63 protein, humanTranscription FactorsTumor Suppressor Protein p53Tumor Suppressor ProteinsUPK2 protein, humanUroplakin IIExpression profileMicropapillary bladder cancerMolecular signaturePrognosis

Identifiers

PMID26988609
PMCPMC5804336
OpenAlexW2297029953

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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.