17ß-Estradiol induces sulfotransferase 2A1 expression through estrogen receptor α.

Sulfotransferase (SULT) 2A1 catalyzes sulfonation of drugs and endogenous compounds and plays an important role in xenobiotic metabolism as well as in the maintenance of steroid and lipid homeostasis. A recent study showed that 17ß-estradiol (E2) increases the mRNA levels of SULT2A1 in human hepatocytes. Here we report the underlying molecular mechanisms. E2 enhanced SULT2A1 expression in human hepatocytes and HepG2-ER cells (HepG2 stably expressing ERα). SULT2A1 induction by E2 was abrogated by antiestrogen ICI 182,780, indicating a key role of ERα in the induction. Results from deletion and mutation assays of SULT2A1 promoter revealed three cis-elements located within -257/+140 region of SULT2A1 that are potentially responsible for the induction. Chromatin immunoprecipitation assay verified the recruitment of ERα to the promoter region. Electrophoretic mobility shift assays revealed that AP-1 proteins bind to one of the cis-elements. Interestingly, SULT2A1 promoter assays using ERα mutants revealed that the DNA-binding domain of ERα is indispensable for SULT2A1 induction by E2, suggesting that direct ERα binding to the SULT2A1 promoter is also necessary for the induction. Taken together, our results indicate that E2 enhances SULT2A1 expression by both the classical and nonclassical mechanisms of ERα action.

PIK3CA mutations in hepatocellular carcinoma in Korea.

PURPOSE: Phosphatidylinositol 3-kinases/AKT pathway plays a pivotal role in hepatocellular carcinoma (HCC). Mutant PIK3CA, encoding the p110a catalytic subunit, stimulates the AKT pathway and promotes cell growth in various cancers. PIK3CA mutation rate has been usually reported as low frequency (<5%) in HCC except one report from Korea with 35.6%. Therefore, we investigated the frequency of PIK3CA mutations in Korean HCC patients. MATERIALS AND METHODS: We sequenced exons1, 3, 4, 6, 7, 8, 9, 19 and 20 of PIK3CA in 268 HCC tumor tissue samples by Sanger method and pyrosequencing assay. RESULTS: In this study, the mutations were not detected in exons3, 6, 8, and 19, and detected 1 at unknown SNP in exon1 and exon4, 2 at unknown SNP in exon7, 2 at unknown SNP in exon20. However, 1 at unknown SNP, 1 at G1635T and surprisingly all samples at A1634Cin exon9 were detected by Sanger method. Additional experiments with normal tissue, cloning experiments and a pyrosequencing assay revealed that the double peak at A1634C of exon9 is a pseudogene, not true mutation. The mutations found in this study were all different and small numbers, therefore, we cannot conclude specific relationship between clinical characteristics of HCC and mutation of PIK3CA. CONCLUSION: Our study suggests that the rate of PIK3CA mutation in the Korea population is in fact similar to the rates seen elsewhere in the world.

Novel EGFR-TK inhibitor EKB-569 inhibits hepatocellular carcinoma cell proliferation by AKT and MAPK pathways.

Epidermal growth factor receptor (EGFR)-targeted therapies have been effective in some cancers, but not in hepatocellular carcinoma (HCC). The aim of this study was to investigate the drug potential to overcome multi-drug resistance in HCC cells. Thirteen drug-sensitive HCC cells were assessed using the CCK-8 assay. G(0)-G(1) arrest was measured by FACS. Western blot analysis was used to detect the key enzymes in both the Ras/Raf and PI3K pathways. When establishing the IC(50) of HCC to several drugs, including EKB-569, sorafenib, erlotinib, gefitinib, pazopanib, and brivanib, SK-Hep1 cells treated with EKB-569 have shown the highest (72.8%-86.4%) G(0)-G(1) arrest and decreased the phosphorylation of AKT and ERK at the protein level. We found that EKB-569 had higher efficacy in HCC, compared to first generation, reversible EGFR-TK inhibitors. Furthermore, the combination of sorafenib and EKB-569 showed a synergistic effect to inhibit proliferation of SNU-475, previously the most resistant cell to EGFR-TKIs. Therefore, novel EKB-569 in combination with sorafenib may be able to overcome HCC resistance to EGFR-TK inhibitors.

Prediction of recurrence-free survival in postoperative non-small cell lung cancer patients by using an integrated model of clinical information and gene expression.

PURPOSE: One of the main challenges of lung cancer research is identifying patients at high risk for recurrence after surgical resection. Simple, accurate, and reproducible methods of evaluating individual risks of recurrence are needed. EXPERIMENTAL DESIGN: Based on a combined analysis of time-to-recurrence data, censoring information, and microarray data from a set of 138 patients, we selected statistically significant genes thought to be predictive of disease recurrence. The number of genes was further reduced by eliminating those whose expression levels were not reproducible by real-time quantitative PCR. Within these variables, a recurrence prediction model was constructed using Cox proportional hazard regression and validated via two independent cohorts (n = 56 and n = 59). RESULTS: After performing a log-rank test of the microarray data and successively selecting genes based on real-time quantitative PCR analysis, the most significant 18 genes had P values of <0.05. After subsequent stepwise variable selection based on gene expression information and clinical variables, the recurrence prediction model consisted of six genes (CALB1, MMP7, SLC1A7, GSTA1, CCL19, and IFI44). Two pathologic variables, pStage and cellular differentiation, were developed. Validation by two independent cohorts confirmed that the proposed model is significantly accurate (P = 0.0314 and 0.0305, respectively). The predicted median recurrence-free survival times for each patient correlated well with the actual data. CONCLUSIONS: We have developed an accurate, technically simple, and reproducible method for predicting individual recurrence risks. This model would potentially be useful in developing customized strategies for managing lung cancer.

Sulforaphane sensitizes tumor necrosis factor-related apoptosis-inducing ligand (TRAIL)-resistant hepatoma cells to TRAIL-induced apoptosis through reactive oxygen species-mediated up-regulation of DR5.

Sulforaphane is a chemopreventive agent present in various cruciferous vegetables, including broccoli. Here, we show that treatment with tumor necrosis factor (TNF)-related apoptosis-inducing ligand (TRAIL) in combination with subtoxic doses of sulforaphane significantly induces rapid apoptosis in TRAIL-resistant hepatoma cells. Neither TNF-alpha- nor Fas-mediated apoptosis was sensitized in hepatoma cells by cotreatment with sulforaphane, suggesting that sulforaphane can selectively sensitize cells to TRAIL-induced apoptosis but not to apoptosis mediated by other death receptors. We found that sulforaphane treatment significantly up-regulated mRNA and protein levels of DR5, a death receptor of TRAIL. This was accompanied by an increase in the generation of reactive oxygen species (ROS). Pretreatment with N-acetyl-l-cysteine and overexpression of catalase inhibited sulforaphane-induced up-regulation of DR5 and almost completely blocked the cotreatment-induced apoptosis. Furthermore, the sulforaphane-mediated sensitization to TRAIL was efficiently reduced by administration of a blocking antibody or small interfering RNAs for DR5. These results collectively indicate that sulforaphane-induced generation of ROS and the subsequent up-regulation of DR5 are critical for triggering and amplifying TRAIL-induced apoptotic signaling. We also found that sulforaphane can sensitize both Bcl-xL- and Bcl-2-overexpressing hepatoma cells to TRAIL-induced apoptosis, indicating that treatment with a combination of TRAIL and sulforaphane may be a safe strategy for treating resistant hepatomas.