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Molecular Cancer
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Differential expression of apoptotic genes PDIA3 and MAP3K5 distinguishes between low- and high-risk prostate cancer

Authors: Steiner Eberhard; Kuner Ruprecht; Ruschhaupt Markus; Luu Van-Duc; Schäfer Georg; Klocker Helmut; Pressinotti Nicole; +3 Authors

Differential expression of apoptotic genes PDIA3 and MAP3K5 distinguishes between low- and high-risk prostate cancer

Abstract

Abstract Background Despite recent progress in the identification of genetic and molecular alterations in prostate cancer, markers associated with tumor progression are scarce. Therefore precise diagnosis of patients and prognosis of the disease remain difficult. This study investigated novel molecular markers discriminating between low and highly aggressive types of prostate cancer. Results Using 52 microdissected cell populations of low- and high-risk prostate tumors, we identified via global cDNA microarrays analysis almost 1200 genes being differentially expressed among these groups. These genes were analyzed by statistical, pathway and gene enrichment methods. Twenty selected candidate genes were verified by quantitative real time PCR and immunohistochemistry. In concordance with the mRNA levels, two genes MAP3K5 and PDIA3 exposed differential protein expression. Functional characterization of PDIA3 revealed a pro-apoptotic role of this gene in PC3 prostate cancer cells. Conclusions Our analyses provide deeper insights into the molecular changes occurring during prostate cancer progression. The genes MAP3K5 and PDIA3 are associated with malignant stages of prostate cancer and therefore provide novel potential biomarkers.

Keywords

Male, Cancer Research, Reverse Transcriptase Polymerase Chain Reaction, Research, Protein Disulfide-Isomerases, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Prostatic Neoplasms, Apoptosis, Middle Aged, MAP Kinase Kinase Kinase 5, Immunohistochemistry, Gene Expression Regulation, Neoplastic, Oncology, Risk Factors, Gene Knockdown Techniques, Biomarkers, Tumor, Molecular Medicine, Humans, RC254-282, Oligonucleotide Array Sequence Analysis

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
67
Top 10%
Top 10%
Top 10%
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