Identification of differentially expressed genes in human bladder cancer through genome-wide gene expression profiling
- PMID: 16865252
Identification of differentially expressed genes in human bladder cancer through genome-wide gene expression profiling
Abstract
Large-scale gene expression profiling is an effective strategy for understanding the progression of bladder cancer (BC). The aim of this study was to identify genes that are expressed differently in the course of BC progression and to establish new biomarkers for BC. Specimens from 21 patients with pathologically confirmed superficial (n = 10) or invasive (n = 11) BC and 4 normal bladder samples were studied; samples from 14 of the 21 BC samples were subjected to microarray analysis. The validity of the microarray results was verified by real-time RT-PCR. Of the 136 up-regulated genes we detected, 21 were present in all 14 BCs examined (100%), 44 in 13 (92.9%), and the other 71 in 12 BCs (85.7%). Of 69 down-regulated genes, 25 were found in all 14 BCs (100%), 22 in 13 (92.9%), and the other 22 in 12 BCs (85.7%). Functional annotation revealed that of the up-regulated genes, 36% were involved in metabolism and 14% in transcription and processing; 25% of the down-regulated genes were linked to cell adhesion/surface and 21% to cytoskeleton/cell membrane. Real-time RT-PCR confirmed the microarray results obtained for the 6 most highly up- and the 2 most highly down-regulated genes. Among the 6 most highly up-regulated genes, CKS2 was the only gene with a significantly greater level of up-regulation in invasive than in superficial BC (p = 0.04). To confirm this result, we subjected all 21 BC samples to real-time PCR assay for CKS2. We found a considerable difference between superficial and invasive BC (p = 0.001). Interestingly, there was a considerable difference between the normal bladder and invasive BC (p = 0.001) and less difference between the normal bladder and superficial BC (p = 0.005). We identified several genes as promising candidates for diagnostic biomarkers of human BC and the CKS2 gene not only as a potential biomarker for diagnosing, but also for staging human BC. This is the first report demonstrating that CKS2 expression is strongly correlated with the progression of human BC.
Similar articles
-
[Identification of gene expression patterns in superficial and invasive human bladder cancers].Zhonghua Yi Xue Za Zhi. 2007 Mar 27;87(12):798-801. Zhonghua Yi Xue Za Zhi. 2007. PMID: 17565857 Chinese.
-
Phospho-Akt pathway activation and inhibition depends on N-cadherin or phospho-EGFR expression in invasive human bladder cancer cell lines.Urol Oncol. 2010 Mar-Apr;28(2):180-8. doi: 10.1016/j.urolonc.2008.09.041. Epub 2008 Dec 12. Urol Oncol. 2010. PMID: 19070520
-
A molecular signature in superficial bladder carcinoma predicts clinical outcome.Clin Cancer Res. 2005 Jun 1;11(11):4029-36. doi: 10.1158/1078-0432.CCR-04-2095. Clin Cancer Res. 2005. PMID: 15930337
-
Characteristics of invasive bladder cancers: histological and molecular markers.Semin Urol Oncol. 1996 May;14(2):62-72. Semin Urol Oncol. 1996. PMID: 8734733 Review.
-
RhoGDI2: a new metastasis suppressor gene: discovery and clinical translation.Urol Oncol. 2007 Sep-Oct;25(5):401-6. doi: 10.1016/j.urolonc.2007.05.006. Urol Oncol. 2007. PMID: 17826660 Review.
Cited by
-
Expression and biological-clinical significance of hTR, hTERT and CKS2 in washing fluids of patients with bladder cancer.BMC Urol. 2010 Oct 4;10:17. doi: 10.1186/1471-2490-10-17. BMC Urol. 2010. PMID: 20920335 Free PMC article.
-
Cks overexpression enhances chemotherapeutic efficacy by overriding DNA damage checkpoints.Oncogene. 2015 Apr 9;34(15):1961-7. doi: 10.1038/onc.2014.137. Epub 2014 May 26. Oncogene. 2015. PMID: 24858038 Free PMC article.
-
Aberrant expression of Cks1 and Cks2 contributes to prostate tumorigenesis by promoting proliferation and inhibiting programmed cell death.Int J Cancer. 2008 Aug 1;123(3):543-51. doi: 10.1002/ijc.23548. Int J Cancer. 2008. PMID: 18498131 Free PMC article.
-
Identification of a Five-Gene Signature for Predicting Survival in Malignant Pleural Mesothelioma Patients.Front Genet. 2020 Aug 7;11:899. doi: 10.3389/fgene.2020.00899. eCollection 2020. Front Genet. 2020. PMID: 32849853 Free PMC article.
-
Cyclin-dependent kinase subunit 2 overexpression promotes tumor progression and predicts poor prognosis in uterine leiomyosarcoma.Oncol Lett. 2019 Sep;18(3):2845-2852. doi: 10.3892/ol.2019.10668. Epub 2019 Jul 25. Oncol Lett. 2019. PMID: 31452763 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical