Literature DB >> 21308147

A four-gene signature predicts disease progression in muscle invasive bladder cancer.

Wun-Jae Kim1, Seon-Kyu Kim, Pildu Jeong, Seok-Joong Yun, In-Chang Cho, Isaac Yi Kim, Sung-Kwon Moon, Hong-Duck Um, Yung Hyun Choi.   

Abstract

There are no reliable criteria to handle disease progression of muscle invasive bladder cancer (MIBC), which strongly influences patient survival. Therefore, an accurate predicting method to identify progressive MIBC patients is greatly needed. The aim of this study was to identify a genetic signature associated with disease progression in MIBC. To address this issue, we analyzed three independent cohorts (a training set, test set 1 and test set 2) comprising a total of 128 MIBC patients. Microarray gene expression profiling, including gene network analysis, was performed in the training set to identify a gene expression signature associated with disease progression. The prognostic value of the signature was validated in test set 1 and test set 2 by microarray and real-time reverse transcriptase polymerase chain reaction (RT-PCR), respectively. The determination of gene expression patterns by microarray data analysis identified 1,320 genes associated with disease progression. Gene network analysis of the 1,320 genes suggested that IL1B, S100A8, S100A9 and EGFR were important mediators of MIBC progression. We validated this putative four-gene signature in two independent cohorts (log-rank test, P < 0.05 each, respectively) and estimated the predictive value of the signature by multivariate Cox regression analysis (hazard ratio [HR], 6.24; 95% confidence interval [CI], 1.58-24.61; P = 0.009). Finally, signature-based stratification demonstrated that the four-gene signature was an independent predictor of MIBC progression. In conclusion, a molecular signature defined by four genes represents a promising diagnostic tool for the identification of MIBC patients at high risk of progression.

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Year:  2011        PMID: 21308147      PMCID: PMC3105150          DOI: 10.2119/molmed.2010.00274

Source DB:  PubMed          Journal:  Mol Med        ISSN: 1076-1551            Impact factor:   6.354


  42 in total

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2.  Coordinated epigenetic repression of the miR-200 family and miR-205 in invasive bladder cancer.

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Journal:  Int J Cancer       Date:  2011-03-15       Impact factor: 7.396

3.  Treatment and outcome in muscle invasive bladder cancer: a population-based survey.

Authors:  Anna M Leliveld; Benjamin H J Doornweerd; Esther Bastiaannet; Michael Schaapveld; Igle J de Jong
Journal:  World J Urol       Date:  2010-04-10       Impact factor: 4.226

4.  Protein abundance alterations in matched sets of macroscopically normal colon mucosa and colorectal carcinoma.

Authors:  J Stulík; K Koupilova; J Osterreicher; J Knízek; A Macela; J Bures; P Jandík; F Langr; K Dedic; P R Jungblut
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5.  Expression signature of E2F1 and its associated genes predict superficial to invasive progression of bladder tumors.

Authors:  Ju-Seog Lee; Sun-Hee Leem; Sang-Yeop Lee; Sang-Cheol Kim; Eun-Sung Park; Sang-Bae Kim; Seon-Kyu Kim; Yong-June Kim; Wun-Jae Kim; In-Sun Chu
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7.  Prediction of muscle-invasive bladder cancer using urinary proteomics.

Authors:  Eric Schiffer; Antonia Vlahou; Andreas Petrolekas; Konstantinos Stravodimos; Robert Tauber; Jürgen E Geschwend; Jochen Neuhaus; Jens-Uwe Stolzenburg; Mark R Conaway; Harald Mischak; Dan Theodorescu
Journal:  Clin Cancer Res       Date:  2009-07-14       Impact factor: 12.531

Review 8.  The updated EAU guidelines on muscle-invasive and metastatic bladder cancer.

Authors:  Arnulf Stenzl; Nigel C Cowan; Maria De Santis; Gerhard Jakse; Marcus A Kuczyk; Axel S Merseburger; Maria José Ribal; Amir Sherif; J Alfred Witjes
Journal:  Eur Urol       Date:  2009-01-13       Impact factor: 20.096

9.  Predictive value of progression-related gene classifier in primary non-muscle invasive bladder cancer.

Authors:  Wun-Jae Kim; Eun-Jung Kim; Seon-Kyu Kim; Yong-June Kim; Yun-Sok Ha; Pildu Jeong; Min-Ju Kim; Seok-Joong Yun; Keon Myung Lee; Sung-Kwon Moon; Sang-Cheol Lee; Eun-Jong Cha; Suk-Chul Bae
Journal:  Mol Cancer       Date:  2010-01-08       Impact factor: 27.401

10.  Human gene coexpression landscape: confident network derived from tissue transcriptomic profiles.

Authors:  Carlos Prieto; Alberto Risueño; Celia Fontanillo; Javier De las Rivas
Journal:  PLoS One       Date:  2008-12-15       Impact factor: 3.240

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  33 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-19       Impact factor: 11.205

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Review 3.  Molecular substratification of bladder cancer: moving towards individualized patient management.

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Journal:  Ther Adv Urol       Date:  2016-03-28

4.  Over-expression of TRPM8 is associated with poor prognosis in urothelial carcinoma of bladder.

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5.  Canine urothelial carcinoma: genomically aberrant and comparatively relevant.

Authors:  S G Shapiro; S Raghunath; C Williams; A A Motsinger-Reif; J M Cullen; T Liu; D Albertson; M Ruvolo; A Bergstrom Lucas; J Jin; D W Knapp; J D Schiffman; M Breen
Journal:  Chromosome Res       Date:  2015-03-18       Impact factor: 5.239

6.  Intrinsic subtypes of high-grade bladder cancer reflect the hallmarks of breast cancer biology.

Authors:  Jeffrey S Damrauer; Katherine A Hoadley; David D Chism; Cheng Fan; Christopher J Tiganelli; Sara E Wobker; Jen Jen Yeh; Matthew I Milowsky; Gopa Iyer; Joel S Parker; William Y Kim
Journal:  Proc Natl Acad Sci U S A       Date:  2014-02-11       Impact factor: 11.205

7.  Increased SPHK1 expression is associated with poor prognosis in bladder cancer.

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Review 8.  The role of genomics in the management of advanced bladder cancer.

Authors:  Elizabeth A Guancial; Jonathan E Rosenberg
Journal:  Curr Treat Options Oncol       Date:  2015-01

9.  Development of a gene expression-based prognostic signature for IDH wild-type glioblastoma.

Authors:  Radia M Johnson; Heidi S Phillips; Carlos Bais; Cameron W Brennan; Timothy F Cloughesy; Anneleen Daemen; Ulrich Herrlinger; Robert B Jenkins; Albert Lai; Christoph Mancao; Michael Weller; Wolfgang Wick; Richard Bourgon; Josep Garcia
Journal:  Neuro Oncol       Date:  2020-12-18       Impact factor: 12.300

10.  Novel Mouse Models of Bladder Cancer Identify a Prognostic Signature Associated with Risk of Disease Progression.

Authors:  Soonbum Park; Lijie Rong; Tomasz B Owczarek; Matteo Di Bernardo; Rivka L Shoulson; Chee-Wai Chua; Jaime Y Kim; Amir Lankarani; Prithi Chakrapani; Talal Syed; James M McKiernan; David B Solit; Michael M Shen; Hikmat A Al-Ahmadie; Cory Abate-Shen
Journal:  Cancer Res       Date:  2021-09-01       Impact factor: 12.701

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