Transcriptional profiling endometrial carcinomas microdissected from DES-treated mice identifies changes in gene expression associated with estrogenic tumor promotion

Tetrachlorobisphenol A and bisphenol AF induced cell migration by activating PI3K/Akt signaling pathway via G protein-coupled estrogen receptor 1 in SK-BR-3 cells

Different subtypes of breast cancer express positively G protein-coupled estrogen receptor 1 (GPER1). Our previous studies found that tetrachlorobisphenol A (TCBPA) and bisphenol AF (BPAF) significantly promoted SK-BR-3 cell proliferation by activating GPER1-regulated signals. The present study further investigated the effects of TCBPA and BPAF on the migration of SK-BR-3 cells and examined the role of phosphatidylinositol 3-kinase-protein kinase B (PI3K/Akt) and its downstream signal targets in this process. We found that low-concentration BPAF and TCBPA markedly accelerated the migration of SK-BR-3 cells and elevated the mRNA levels of target genes associated with PI3K/Akt and mitogen-activated protein kinase (MAPK) signals. TCBPA- and BPAF-induced upregulation of target genes was significantly reduced by GPER1 inhibitor G15, the PI3K/Akt inhibitor wortmannin (WM), and the epidermal growth factor receptor (EGFR) inhibitor ZD1839 (ZD). G15 and WM also decreased cell migration induced by TCBPA and BPAF. The findings revealed that TCBPA and BPAF promoted SK-BR-3 cell migration ability by activating PI3K/Akt signaling pathway via GPER1-EGFR.

Downregulation of HOXA11 enhances endometrial cancer malignancy and cisplatin resistance via activating PTEN/AKT signaling pathway

PURPOSE

Endometrial cancer is the most common malignant tumor of female genital system worldwide. Homeobox A11 (HOXA11) is an evolutionarily conserved Homeobox gene closely implicated in carcinogenesis. However, the mechanisms of HOXA11 in the progression and cisplatin resistance of endometrial cancer remain unclear.

METHODS

The expression of HOXA11 was analyzed based on 548 endometrial cancer and 35 control tissues from The Cancer Genome Atlas (TCGA) database. Transwell assay was performed to investigate the effect of HOXA11 on endometrial cell migration and invasion. TUNEL staining was carried out to assay the role of HOXA11 in endometrial cell apoptosis. Western blot was employed to detect the protein levels of B cell lymphoma-2 (Bcl-2), Bcl-2 associated X (Bax), cleaved caspase-3, matrix metalloproteinase-2/9 (MMP/9), phosphatase and tensin homolog (PTEN), protein kinase B (AKT) and p-AKT.

RESULTS

TCGA data showed that HOXA11 expression was significantly down-regulated in endometrial cancer tissue samples. The overexpression of HOXA11 promoted the apoptosis, but inhibited the proliferation, migration and invasion of endometrial cancer cells. HOXA11 knockdown with small interfering RNA (siRNA) considerably repressed cell apoptosis, while promoted cell proliferation, migration, and invasion through PTEN/AKT signaling pathway. Interestingly, HOXA11 was lowly expressed in Ishikawa cells treated with cisplatin. In addition, HOXA11 knockdown increased the resistance of endometrial cancer to cisplatin through activating PTEN/AKT signaling pathway.

CONCLUSION

Low HOXA11 expression may promote the proliferation, migration, invasion of endometrial cancer cells, and increase their resistance to cisplatin through activating PTEN/AKT pathway.

Endocrine disruption of oestrogen action and female reproductive tract cancers

Endocrine disrupting chemicals (EDC) are ubiquitous and persistent compounds that have the capacity to interfere with normal endocrine homoeostasis. The female reproductive tract is exquisitely sensitive to the action of sex steroids, and oestrogens play a key role in normal reproductive function. Malignancies of the female reproductive tract are the fourth most common cancer in women, with endometrial cancer accounting for most cases. Established risk factors for development of endometrial cancer include high BMI and exposure to oestrogens or synthetic compounds such as tamoxifen. Studies on cell and animal models have provided evidence that many EDC can bind oestrogen receptors and highlighted early life exposure as a window of risk for adverse lifelong effects on the reproductive system. The most robust evidence for a link between early life exposure to EDC and adverse reproductive health has come from studies on women who were exposed in utero to diethylstilbestrol. Demonstration that EDC can alter expression of members of the HOX gene cluster highlights one pathway that might be vulnerable to their actions. In summary, evidence for a direct link between EDC exposure and cancers of the reproductive system is currently incomplete. It will be challenging to attribute causality to any single EDC when exposure and development of malignancy may be separated by many years and influenced by lifestyle factors such as diet (a source of phytoestrogens) and adiposity. This review considers some of the evidence collected to date.

Laser capture microdissection with genome-wide expression profiling displayed gene expression signatures in endometrioid endometrial cancer

This research determined genes contributing to the pathogenesis of endometrioid endometrial cancer (EEC). Eight pairs of microdissected EEC samples matched with normal glandular epithelium were analyzed using microarray. Unsupervised analysis identified 162 transcripts (58 up- and 104 down-regulated) that were differentially expressed (p < .01, fold change ≥ 1.5) between both groups. Quantitative real-time polymerase chain reaction (qPCR) validated the genes of interest: SLC7A5, SATB1, H19, and ZAK (p < .05). Pathway analysis revealed genes involved in acid amino transport, translation, and chromatin remodeling (p < .05). Laser capture microdissection (LCM) followed by microarray enabled precise assessment of homogeneous cell population and identified putative genes for endometrial carcinogenesis.

Microarray data mining using landmark gene-guided clustering

Background

Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of clusters independent of the biological context of the analysis. This is often inadequate to explore data from different biological perspectives and gain new insights. We propose a new clustering model that can generate multiple versions of different clusters from a single dataset, each of which highlights a different aspect of the given dataset.

Results

By applying our SigCalc algorithm to three yeast Saccharomyces cerevisiae datasets we show two results. First, we show that different sets of clusters can be generated from the same dataset using different sets of landmark genes. Each set of clusters groups genes differently and reveals new biological associations between genes that were not apparent from clustering the original microarray expression data. Second, we show that many of these new found biological associations are common across datasets. These results also provide strong evidence of a link between the choice of landmark genes and the new biological associations found in gene clusters.

Conclusion

We have used the SigCalc algorithm to project the microarray data onto a completely new subspace whose co-ordinates are genes (called landmark genes), known to belong to a Biological Process. The projected space is not a true vector space in mathematical terms. However, we use the term subspace to refer to one of virtually infinite numbers of projected spaces that our proposed method can produce. By changing the biological process and thus the landmark genes, we can change this subspace. We have shown how clustering on this subspace reveals new, biologically meaningful clusters which were not evident in the clusters generated by conventional methods. The R scripts (source code) are freely available under the GPL license. The source code is available [see Additional File 1] as additional material, and the latest version can be obtained at . The code is under active development to incorporate new clustering methods and analysis.