Literature DB >> 23377984

Analysis of genetic aberrations on chromosomal region 8q21-24 identifies E2F5 as an oncogene with copy number gain in prostate cancer.

Jin Zhao1, Xin-Yang Wu, Xiao-Hui Ling, Zhuo-Yuan Lin, Xin Fu, Ye-Han Deng, Hui-Chan He, Weide Zhong.   

Abstract

The copy number gain of genes in chromosomal region 8q21-24 has been demonstrated to be associated with genesis and progression of prostate cancer (PCa). The aim of this study was to identify novel and effective molecular markers in this chromosomal region for PCa. The differentially expressed genes in PCa specimens were screened by gene microarray analysis, which was validated by RT-QPCR analysis. Then, the DNA qPCR analysis was carried out to detect the copy number changes of these differentially expressed genes. Moreover, the clinical significance of candidate markers (MYC and E2F5) in PCa were further determined. E2F5 and MYC were identified as candidate markers in PCa tissues and PCa cell lines. The DNA qPCR revealed the significant copy number gains of E2F5 and MYC in PCa tissues but not in PCa cell lines. In addition, Western blot analysis and immunohistochemical staining both found the significant higher expression of E2F5 and MYC proteins in PCa tissues than those in adjacent benign specimens (all P < 0.01). Moreover, the overexpression of E2F5 protein was significantly associated with a high Gleason score (P < 0.01), an advanced clinical stage (P = 0.01), a positive metastasis (P < 0.01) and PSA Failure (P < 0.01). The overexpression of MYC was more frequently found in PCa tissues with positive metastasis (P = 0.02) and PSA failure (P = 0.02). Interestingly, there was a close correlation in the expression level of MYC in PCa tissues with that of E2F5 (r ( s ) = 0.5, P ≤ 0.001). Our data offers the convincing evidence that the copy number gains of E2F5 and MYC may play an important role in genesis and progression of PCa. Especially, E2F5 may be a novel potential candidate marker for malignant PCa.

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Year:  2013        PMID: 23377984     DOI: 10.1007/s12032-013-0465-3

Source DB:  PubMed          Journal:  Med Oncol        ISSN: 1357-0560            Impact factor:   3.064


  28 in total

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  8 in total

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Journal:  Am J Transl Res       Date:  2016-06-15       Impact factor: 4.060

2.  miRNA-34a enhances the sensitivity of gastric cancer cells to treatment with paclitaxel by targeting E2F5.

Authors:  Lina Li; Cuiling Wu; Yue Zhao
Journal:  Oncol Lett       Date:  2017-04-18       Impact factor: 2.967

3.  Integration of mRNA expression profile, copy number alterations, and microRNA expression levels in breast cancer to improve grade definition.

Authors:  Claudia Cava; Gloria Bertoli; Marilena Ripamonti; Giancarlo Mauri; Italo Zoppis; Pasquale Anthony Della Rosa; Maria Carla Gilardi; Isabella Castiglioni
Journal:  PLoS One       Date:  2014-05-27       Impact factor: 3.240

4.  MicroRNA-544 inhibits esophageal squamous cell carcinoma cell proliferation and enhances sensitivity to cisplatin by repressing E2F transcription factor 5.

Authors:  Fengrong Sun; Cuiping Zhang; Deliang Ma; Kai Wang
Journal:  Oncol Lett       Date:  2019-08-16       Impact factor: 2.967

5.  CircFOXM1 promotes the proliferation, migration, invasion, and glutaminolysis of glioblastoma by regulating the miR-577/E2F5 axis.

Authors:  Xuhui Fan; Meng Liu; Li Fei; Zhihui Huang; Yufeng Yan
Journal:  Bosn J Basic Med Sci       Date:  2022-04-01       Impact factor: 3.363

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Authors:  Hassan Brim; Mones S Abu-Asab; Mehdi Nouraie; Jose Salazar; Jim Deleo; Hadi Razjouyan; Pooneh Mokarram; Alejandro A Schaffer; Fakhraddin Naghibhossaini; Hassan Ashktorab
Journal:  PLoS One       Date:  2014-01-27       Impact factor: 3.240

7.  The transcription factor FOXN3 inhibits cell proliferation by downregulating E2F5 expression in hepatocellular carcinoma cells.

Authors:  Ji Sun; Hong Li; Qi Huo; Meiling Cui; Chao Ge; Fangyu Zhao; Hua Tian; Taoyang Chen; Ming Yao; Jinjun Li
Journal:  Oncotarget       Date:  2016-07-12

8.  Comprehensive analysis of the functional and prognostic value of E2F transcription factors in human prostate cancer through data mining and experimental validation.

Authors:  Decai Wang; Wensen Tang; Pingbao Zhang; Zijian Liu; Fang Lyu; Yajun Xiao; Dong Ni; Pu Zhang
Journal:  Transl Cancer Res       Date:  2021-12       Impact factor: 1.241

  8 in total

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