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SGK3 is associated with estrogen receptor expression in breast cancer.

ABSTRACT: While breast cancer mortality rate has seen a steady decline in the last few decades, advances in better treatment and diagnostic tools remain important as we come into the age of personalized therapy. In this report, we describe our studies of SGK3's role in breast cancer. SGK3 (also known as CISK) is a member of the AGC family of kinases. Our previous work indicates that SGK3 functions downstream of the PI 3-kinase cascade and shares molecular and biochemical similarities with Akt. Here, we show that SGK3 expression is linked to estrogen receptor (ER) both in breast caner cell lines and in primary tumor samples. Our analysis also indicated a positive correlation between SGK3 expression and tumor prognosis. Importantly, our immunochemistry analysis of human tumor samples established a clinical link between SGK3 expression and ER+ tumors. These findings implicate SGK3 as an additional component to a complex and heterogeneous disease, and point to the potential benefits of incorporating SGK3 into the process of breast cancer diagnosis and treatment.

SUBMITTER: Xu J

PROVIDER: S-EPMC3684450 | biostudies-literature | 2012 Jul

REPOSITORIES: biostudies-literature

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SGK3 is associated with estrogen receptor expression in breast cancer.

Xu Jun J Wan Ma M He Quanyuan Q Bassett Roland L RL Fu Xiaoyong X Chen Albert C AC Shi Fengtao F Creighton Chad J CJ Schiff Rachel R Huo Lei L Liu Dan D

Breast cancer research and treatment 20120511 2

While breast cancer mortality rate has seen a steady decline in the last few decades, advances in better treatment and diagnostic tools remain important as we come into the age of personalized therapy. In this report, we describe our studies of SGK3's role in breast cancer. SGK3 (also known as CISK) is a member of the AGC family of kinases. Our previous work indicates that SGK3 functions downstream of the PI 3-kinase cascade and shares molecular and biochemical similarities with Akt. Here, we sh ...[more]

PMID: 22576469

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Project description:NgBR is a type I receptor with a single transmembrane domain and was identified as a specific receptor for Nogo-B. Our recent findings demonstrated that NgBR binds farnesylated Ras and recruits Ras to the plasma membrane, which is a critical step required for the activation of Ras signaling in human breast cancer cells and tumorigenesis. Here, we first use immunohistochemistry and real-time PCR approaches to examine the expression patterns of Nogo-B and NgBR in both normal and breast tumor tissues. Then, we examine the relationship between NgBR expression and molecular subtypes of breast cancer, and the roles of NgBR in estrogen-dependent survivin signaling pathway. Results showed that NgBR and Nogo-B protein were detected in both normal and breast tumor tissues. However, the expression of Nogo-B and NgBR in breast tumor tissue was much stronger than in normal breast tissue. The statistical analysis demonstrated that NgBR is highly associated with ER-positive/HER2-negative breast cancer. We also found that the expression of NgBR has a strong correlation with the expression of survivin, which is a well-known apoptosis inhibitor. The correlation between NgBR and survivin gene expression was further confirmed by real-time PCR. In vitro results also demonstrated that estradiol induces the expression of survivin in ER-positive T47D breast tumor cells but not in ER-negative MDA-MB-468 breast tumor cells. NgBR knockdown with siRNA abolishes estradiol-induced survivin expression in ER-positive T47D cells but not in ER-negative MDA-MB-468 cells. In addition, estradiol increases the expression of survivin and cell growth in ER-positive MCF-7 and T47D cells whereas knockdown of NgBR with siRNA reduces estradiol-induced survivin expression and cell growth. In summary, these results indicate that NgBR is a new molecular marker for breast cancer. The data suggest that the expression of NgBR may be essential in promoting ER-positive tumor cell proliferation via survivin induction in breast cancer.

Project description:Estrogens are known to regulate the proliferation of breast cancer cells and to modify their phenotypic properties. Identification of estrogen-regulated genes in human breast tumors is an essential step toward understanding the molecular mechanisms of estrogen action in cancer. To this end we generated and compared the Serial Analysis of Gene Expression (SAGE) profiles of 26 human breast carcinomas based on their estrogen receptor alpha (ER) status. Thus, producing a breast cancer SAGE database of almost 2.5 million tags, representing over 50,000 transcripts.We identified 520 transcripts differentially expressed between ERalpha-positive (+) and ERalpha-negative (-) primary breast tumors (Fold change >or= 2; p < 0.05). Furthermore, we identified 220 high-affinity Estrogen Responsive Elements (EREs) distributed on the promoter regions of 163 out of the 473 up-modulated genes in ERalpha (+) breast tumors. In brief, we observed predominantly up-regulation of cell growth related genes, DNA binding and transcription factor activity related genes based on Gene Ontology (GO) biological functional annotation. GO terms over-representation analysis showed a statistically significant enrichment of various transcript families including: metal ion binding related transcripts (p = 0.011), calcium ion binding related transcripts (p = 0.033) and steroid hormone receptor activity related transcripts (p = 0.031). SAGE data associated with ERalpha status was compared with reported information from breast cancer DNA microarrays studies. A significant proportion of ERalpha associated gene expression changes was validated by this cross-platform comparison. However, our SAGE study also identified novel sets of genes as highly expressed in ERalpha (+) invasive breast tumors not previously reported. These observations were further validated in an independent set of human breast tumors by means of real time RT-PCR.The integration of the breast cancer comparative transcriptome analysis based on ERalpha status coupled to the genome-wide identification of high-affinity EREs and GO over-representation analysis, provide useful information for validation and discovery of signaling networks related to estrogen response in this malignancy.

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SGK3 is associated with estrogen receptor expression in breast cancer.

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SGK3 is associated with estrogen receptor expression in breast cancer.

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