Powered by OpenAIRE graph
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Urologic Oncology Se...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Urologic Oncology Seminars and Original Investigations
Article . 2012 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
versions View all 2 versions

Identification of a three-gene expression signature of early recurrence in non-muscle-invasive urothelial cell carcinoma of the bladder

Authors: Francis, Dubosq; Guillaume, Ploussard; Hany, Soliman; Elisabeth, Turpin; Alain, Latil; François, Desgrandchamps; Hugues, de The; +1 Authors

Identification of a three-gene expression signature of early recurrence in non-muscle-invasive urothelial cell carcinoma of the bladder

Abstract

To identify the expression profile of early recurring non-muscle-invasive bladder cancer (NMI-BC).We selected primary NMI-BC according to the following criteria: complete resection, primary occurrence of urothelial cell carcinoma, stage cTa or T1, low grade, no carcinoma in situ. All patients underwent a transurethral resection of the bladder and were followed according to the Guidelines of European Association of Urology. Expression of 110 target genes was studied by using real time quantitative RT-PCR. The correlation between the absolute expression and early recurrence was analyzed by using a Cox regression model. The ability of a gene to distinguish the tumors with early recurrence from those with late recurrence was determined by using a ROC-AUC test. A hierarchical classification was established by using the software of GeneANOVA and tested by a χ(2) test.Forty-seven tumors were studied: 25 with early recurrence vs. 22 with late or null recurrence. These 2 groups of tumors have a significantly different expression profile in 3 genes among the 110-gene expression profile: peroxysome proliferator-activated receptor-γ (PPARG) (P = 0.031), stathmin-1 (STMN1) (P = 0.041), Caveolin-2 (CAV2) (P = 0.004). The combination of the expression of these 3 genes was significantly predictive for early recurrence leading to a correct hierarchical classification of the NMI-BC regarding the time-to-recurrence (P < 0.001).This study identifies a concise 3-gene panel that is associated with time to recurrence. This 3-gene signature has to be confirmed in a prospective study and in larger cohort of patients. However, our preliminary results are promising and gene expression profiling seems to be an interesting approach in cTa-T1 tumors for recurrence prediction.

Keywords

Male, Carcinoma, Transitional Cell, Reverse Transcriptase Polymerase Chain Reaction, Caveolin 2, Middle Aged, Real-Time Polymerase Chain Reaction, PPAR gamma, ROC Curve, Urinary Bladder Neoplasms, Area Under Curve, Biomarkers, Tumor, Humans, Stathmin, Female, Neoplasm Grading, Neoplasm Recurrence, Local, Transcriptome, Neoplasm Staging, Proportional Hazards Models

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    18
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Average
Average
Top 10%
Related to Research communities
Cancer Research