Transcriptomics,Multiomics

Dataset Information

5

Predective Value of Prognosis-Related Gene Expression Study in Primary Bladder Cancer


ABSTRACT: This study aimed to identify the genetic signatures associated with disease prognosis in bladder cancer. We used 165 primary bladder cancer samples, 23 recurrent non-muscle invasive tumor tissues, 58 normal looking bladder mucosae surrounding cancer and 10 normal bladder mucosae for microarray analysis. Hierarchical clustering was used to stratify the prognosis-related gene classifiers. For validation, real-time reverse-transcriptase polymerase chain reaction (RT-PCR) of top-ranked 14 genes was performed. On unsupervised hierarchical clustering using prognosis related gene-classifier, tumors were divided into 2 groups. The high risk gene signatures had significantly poor prognosis compared to low risk gene signatures (P<0.001 by the log-rank test, respectively). The prognosis-related gene classifiers correlated significantly with recurrence of non-muscle invasive bladder cancer (hazard ratio, 4.09; 95% confidence interval [CI], 1.94 to 8.64; P<0.001), and progression (hazard ratio, 23.68; 95% confidence interval [CI], 4.91 to 114.30; P<0.001), cancer-specific survival (hazard ratio, 29.25; 95% confidence interval [CI], 3.47 to 246.98; P=0.002) and overall survival (hazard ratio, 23.33; 95% confidence interval [CI], 4.97 to 109.50; P<0.001) of muscle invasive bladder cancer (p < 0.001, respectively). No patient with non-muscle invasive bladder cancer experienced cancer progression in low risk gene signature group. Prognosis-related gene classifiers validated by RT- PCR showed identical results. Prognosis related gene-classifiers provided strong predictive value for disease outcome. These gene classifiers could assist in selecting patients who might benefit from more aggressive therapeutic intervention or surveillance. Keywords: Gene expression, Bladder cancer, Prognosis 165 primary bladder cancer samples and 23 recurrent non-muscle invasive tumor tissues from 14 patients were taken in the Chungbuk National University Hospital. Only histologically verified transitional cell carcinoma samples were selected. Simultaneously 58 normal looking bladder mucosae surrounding cancer were obtained during the operation, which were histologically confirmed normal. Also, 10 normal bladder mucosae were obtained from patients with benign disease. The normal controls were determined to be free of cancer after revealing no malignant cells on urine cytology and no observable bladder cancer on cystoscopic examination during operation for their diseases, and were histologically reconfirmed normal.

OTHER RELATED OMICS DATASETS IN: PRJNA110111

ORGANISM(S): Homo sapiens  

SUBMITTER: In-Sun Chu  Sun-Hee Leem  Wun-Jae Kim  Seon-Kyu Kim  Yong-June Kim 

PROVIDER: E-GEOD-13507 | ArrayExpress | 2010-05-28

SECONDARY ACCESSION(S): GSE13507PRJNA110111

REPOSITORIES: GEO, ArrayExpress

Dataset's files

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Action DRS
E-GEOD-13507.README.txt Txt
E-GEOD-13507.idf.txt Idf
E-GEOD-13507.processed.1.zip Processed
E-GEOD-13507.sdrf.txt Txt
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Publications

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

Kim Wun-Jae WJ   Kim Eun-Jung EJ   Kim Seon-Kyu SK   Kim Yong-June YJ   Ha Yun-Sok YS   Jeong Pildu P   Kim Min-Ju MJ   Yun Seok-Joong SJ   Lee Keon Myung KM   Moon Sung-Kwon SK   Lee Sang-Cheol SC   Cha Eun-Jong EJ   Bae Suk-Chul SC  

Molecular cancer 20100108


<h4>Background</h4>While several molecular markers of bladder cancer prognosis have been identified, the limited value of current prognostic markers has created the need for new molecular indicators of bladder cancer outcomes. The aim of this study was to identify genetic signatures associated with disease prognosis in bladder cancer.<h4>Results</h4>We used 272 primary bladder cancer specimens for microarray analysis and real-time reverse transcriptase polymerase chain reaction (RT-PCR) analysis  ...[more]

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