Journal Basic Info

  • Impact Factor: 2.709**
  • H-Index: 11 
  • ISSN: 2474-1663
  • DOI: 10.25107/2474-1663
**Impact Factor calculated based on Google Scholar Citations. Please contact us for any more details.

Major Scope

  •  Immunotherapy
  •  Ovarian Cancer
  •  Urological Cancers
  •  Head and Neck Oncology
  •  Hormone Therapy
  •  Chemoprevention
  •  Haemato-Oncology
  •  Targeted Therapy

Abstract

Citation: Clin Oncol. 2016;1(1):1128.DOI: 10.25107/2474-1663.1128

Comparative Expression Analysis Reveals Relationships between SPINK1, TUBB3, and EZH2, and Prostate Cancer Molecular Biomarkers in the Cancer Genome Atlas (TCGA) Data

Carolina Saldana, Myriam Kossai, Guillaume Ploussard, Salem Chouaib and Stéphane Terry


Department of Medical Oncology, Henri Mondor Hospital (AP-HP), France
University of Paris-Est, France
Department of Pathology, Gustave Roussy Cancer Campus, France
University Institute of Cancer Toulouse Oncopole, France
Department of Urology, Clinique Saint Jean Languedoc, France
INSERM U1186, Gustave Roussy Cancer Campus, France

*Correspondance to: St�phane Terry 

 PDF  Full Text Original Research | Open Access

Abstract:

Background: Despite the recent discovery of molecular subtypes in prostate cancer (PCa) expressing or not gene fusions involving E26 Transformation-Specific (ETS) transcription factors, including ERG (for v-ets avian erythroblastosis virus E26 oncogene homolog), little is known on molecular alterations associated, and cooperative events at play during initiation and progression of PCa.Objective and methods: Using RNA-Seq data from The Cancer Genome Atlas (TCGA) collection of surgically managed primary prostate adenocarcinomas, we investigated the relations between gene expression of the candidate prognostic markers SPINK1, TUBB3 (class III beta-tubulin), EZH2, and known PCa molecular markers. 484 cases were included in the analysis.Results: Clustering analysis consistently showed TUBB3 associating with EZH2, and SPINK1 with PTEN and TFF3, but not with ERG, ETV1, CHD1, AR or SPOP expression. Positive and negative correlations were found among these PCa markers. Notably, in tumors highly expressing SPINK1 or TUBB3, a subset of cases showed substantial EZH2 expression, while EZH2 expression was highly correlated with AURKA expression (r=0.7178; p <0.0001), an oncogenic target in cancer. Interestingly, we found that high expression of EZH2 was strongly associated with reduced SPOP expression (r=-0,455; p <0.0001). Moreover, tumors expressing SPINK1 and TUBB3 often appeared to have reduced expression of RB1, AR, and REST as possible signs of neuroendocrine differentiation.Conclusions: Despite substantial heterogeneity among the PCa cases, the current study suggests that significant associations and overlaps exist between PCa molecular alterations and expression of candidate PCa prognostic markers. A better understanding of these alterations and their cooperative role should help refine PCa subtypes, identify aggressive subgroups among those, and improve PCa management and therapy response.

Keywords:

Cite the Article:

Saldana C, Kossai M, Ploussard G, Chouaib S, Terry S. Comparative Expression Analysis Reveals Relationships between SPINK1, TUBB3, and EZH2, and Prostate Cancer Molecular Biomarkers in the Cancer Genome Atlas (TCGA) Data. Clin Oncol. 2016; 1: 1128.

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