Prognostic marker VPS72 could promote the malignant progression of prostate cancer.

BACKGROUND: This paper attempted to clarify the role and mechanism of vacuolar protein sorting-associated protein 72 homolog (VPS72) in the progression of prostate cancer (PCa). METHODS: Clinical information and gene expression profiles of patients with prostate cancer were obtained from The Cancer Genome Atlas (TCGA). VPS72 expression in PCa and the potential mechanism by which VPS72 affects PCa progression was investigated. Next, we performed COX regression analysis to identify the independent prognostic factors of PCa, and constructed a nomogram. The sensitivity of chemotherapeutic medications was anticipated using "pRRophetic". Subsequently, in vitro assays to validate the effect of VPS72 on PCa cell proliferation, migration and susceptibility to anti-androgen therapy. RESULTS: The expression of VPS72 was considerably higher in PCa tissues compared to normal tissues. Significant correlations were found between high VPS72 expression and a poor prognosis and adverse clinicopathological factors. The nomogram model constructed based on VPS72 expression has good predictive performance. According to GSEA, VPS72-related genes were enriched in the NF-kB pathways, cytokine-cytokine receptor interaction and chemokine signaling pathway in PCa. Although PCa with low VPS72 expression was more adaptable to chemotherapeutic medications, our in vitro experiment showed that VPS72 knockdown significantly decreased the PCa cell migration, proliferation, and resistance to anti-androgen therapy. CONCLUSIONS: In summary our findings suggests that VPS72 could play a crucial role in the malignant progression of PCa, and its expression level can be employed as a possible biomarker of PCa prognosis.

Antiscalants for mitigating silica scaling in membrane desalination: Effects of molecular structure and membrane process.

Silica scaling is a major type of mineral scaling that significantly constrains the performance and efficiency of membrane desalination. While antiscalants have been commonly used to control mineral scaling formed via crystallization, there is a lack of antiscalants for silica scaling due to its unique formation mechanism of polymerization. In this study, we performed a systematic study that investigated and compared antiscalants with different functional groups and molecular weights for mitigating silica scaling in membrane distillation (MD) and reverse osmosis (RO). The efficiencies of these antiscalants were tested in both static experiments (for hindering silicic acid polymerization) as well as crossflow, dynamic MD and RO experiments (for reducing water flux decline). Our results show that antiscalants enriched with strong H-accepters and H-donors were both able to hinder silicic acid polymerization efficiently in static experiments, with their antiscaling performance being a function of both molecular functionality and weight. Although poly(ethylene glycol) (PEG) with abundant H-accepters exhibited high antiscaling efficiencies during static experiments, it displayed limited performance of mitigating silica scaling during MD and RO. Poly (ethylene glycol) diamine (PEGD), which has a PEG backbone but is terminated by two amino groups, was efficient to both hinder silicic acid polymerization and reduce water flux decline in MD and RO. Antiscalants enriched with H-donors, such as poly(ethylenimine) (PEI) and poly(amidoamine) (PAMAM), were effective of extending the water recovery of MD but conversely facilitated water flux decline of RO in the presence of supersaturated silica. Further analyses of silica scales formed on the membrane surfaces confirmed that the antiscalants interacted with silica via hydrogen bonding and showed that the presence of antiscalants governed the silica morphology. Our work indicates that discrepancy in antiscalant efficiency exists between static experiments and dynamic membrane filtration as well as between different membrane processes associated with silica scaling, providing valuable insights on the design principle and mechanisms of antiscalants tailored to silica scaling.

A pan-cancer analysis of ring finger protein 135 and its relationship to triple-negative breast cancer proliferation and metastasis.

Ring finger protein 135 (RNF135) is an E3 ubiquitin ligase with RING finger domains that plays a crucial role in the development of several forms of cancer. Neither the expression profile of RNF135 nor its importance in the diagnosis of pan-cancer have been elucidated as of yet. With the aid of The Cancer Genome Atlas and Gene Expression Omnibus, we have fully mapped the expression profiles, prognostic relevance, genetic modification, immune cell infiltration, and tumor heterogeneity of RNF135 in 33 malignant tumors. RNF135 was expressed inconsistently in various cancers, and variations in RNF135 expression predicted survival outcomes for cancer patients. There was a strong correlation between the levels of the RNF135 genetic mutation and some tumor progression. In addition, a strong correlation was seen between RNF135 expression and immune cell infiltration, tumor mutation burden, microsatellite instability, and immunoregulators. In contrast, the correlation between RNF135 expression and triple-negative breast cancer was investigated in this study. RNF135 may boost the proliferation, migration, and invasion of TNBC cells, according to cell experiments. RNF135 might be utilized as a biomarker to anticipate how a tumor will behave and may have a significant role in how TNBC cells grow and migrate, according to the findings of this study.

Which Surface Is More Scaling Resistant? A Closer Look at Nucleation Theories for Heterogeneous Gypsum Nucleation in Aqueous Solutions.

Developing engineered surfaces with scaling resistance is an effective means to inhibit surface-mediated mineral scaling in various industries including desalination. However, contrasting results have been reported on the relationship between scaling potential and surface hydrophilicity. In this study, we combine a theoretical analysis with experimental investigation to clarify the effect of surface wetting property on heterogeneous gypsum (CaSO4·2H2O) formation on surfaces immersed in aqueous solutions. Theoretical prediction derived from classical nucleation theory (CNT) indicates that an increase of surface hydrophobicity reduces scaling potential, which contrasts our experimental results that more hydrophilic surfaces are less prone to gypsum scaling. We further consider the possibility of nonclassical pathway of gypsum nucleation, which proceeds by the aggregation of precursor clusters of CaSO4. Accordingly, we investigate the affinity of CaSO4 to substrate surfaces of varied wetting properties via calculating the total free energy of interaction, with the results perfectly predicting experimental observations of surface scaling propensity. This indicates that the interactions between precursor clusters of CaSO4 and substrate surfaces might play an important role in regulating heterogeneous gypsum formation. Our findings provide evidence that CNT might not be applicable to describing gypsum scaling in aqueous solutions. The fundamental insights we reveal on gypsum scaling mechanisms have the potential to guide rational design of scaling-resistant engineered surfaces.

Dioscin ameliorates diabetes cognitive dysfunction via adjusting P2X7R/NLRP3 signal.

Dioscin presents extents of pharmacological activities on several diseases, but its effect and mechanism on diabetes cognitive dysfunction (DCD) remains unclear. Herein, we conducted a series of pharmacological evaluation assays of purinergic receptor P2X7 (P2X7R) with dioscin. We uncovered that dioscin presented a clearly protective effect on diabetes cognitive dysfunction via a methylglyoxal-treated PC12 cell model and streptozocin (STZ)-induced rat models. Additionally, it found that P2X7R and NLRP3 inflammasome signals were activated in diabetes cognitive dysfunction via in vivo and in vitro detection. Moreover, it was demonstrated that P2X7R regulated NLRP3 inflammasome signals in methylglyoxal-treated PC12 cells. Meanwhile, it was showed that dioscin-induced anti-diabetes cognitive dysfunction effect was accompanied with an inhibition of P2X7R/NLRP3 signal. A deeper mechanical study indicated that an overexpression of P2X7R further enhanced the protective effect of dioscin. Whilst, an inhibition of P2X7R abolished the protective effect of dioscin. These results suggested that dioscin protected type 2 diabetes cognitive dysfunction through, at least partially, regulating the P2X7R/NLRP3 signal pathway. Our findings further indicate the great value of dioscin on preventing type 2 diabetes cognitive dysfunction.

A-kinase interacting protein 1 is sufficiently expressed and positively associates with WHO grade, meanwhile predicts unfavorable overall survival independently in glioma patients.

ABSTRACT: The present study aimed to investigate the association of A-kinase interacting protein 1 (AKIP1) with clinical characteristics, and further explore the prognostic value of AKIP1 in glioma patients.Totally 168 glioma patients who underwent tumor resection were analyzed, and their tumor tissue specimens were acquired for the detection of AKIP1 expression by immunohistochemistry (IHC), which was scored by a semi-quantitative method considering staining intensity and staining density.According to AKIP1 expression in tumor tissues of glioma patients, there were 65 (38.7%) patients with AKIP1 low expression (IHC score 0-3), 48 (28.6%) patients with AKIP1 high + expression (IHC score 4-6), 42 (25.0%) patients with AKIP1 high++ expression (IHC score 7-9) and 13 (7.7%) patients with AKIP1 high+++ expression (IHC score 10-12), respectively. AKIP1 expression was positively associated with World Health Organization grade. Overall survival (OS) was the lowest in the patients with AKIP1 high+++ expression, followed by those with AKIP1 high++ expression and those with AKIP1 high+ expression, and highest in those with AKIP1 low expression. Further subgroup analysis exhibited that AKIP1 expression was negatively associated with OS especially in high-grade glioma patients. In addition, AKIP1 expression was negatively associated with OS in all subgroups of patients with/without adjuvant radiotherapy, with/without adjuvant chemotherapy. Further multivariate Cox's regression exhibited that AKIP1 high expression was an independent predictive factor for worse OS.AKIP1 presents with the potential to be a novel biomarker for tumor management and prognosis surveillance in glioma patients.

ADO/hypotaurine: a novel metabolic pathway contributing to glioblastoma development.

Significant advance has been made towards understanding glioblastoma metabolism through global metabolomic profiling. However, hitherto little is known about the role by which altered metabolism plays in driving the aggressive glioma phenotype. We have previously identified hypotaurine as one of the top-ranked metabolites for differentiating low- and high-grade tumors, and that there is also a strong association between the levels of intratumoral hypotaurine and expression of its biosynthetic enzyme, cysteamine (2-aminoethanethiol) dioxygenase (ADO). Using transcription profiling, we further uncovered that the ADO/hypotaurine axis targets CCL20 secretion through activating the NF-κB pathway to drive the self-renewal and maintenance of glioma 'cancer stem cells' or glioma cancer stem-like cells. Conversely, abrogating the ADO/hypotaurine axis using CRISPR/Cas9-mediated gene editing limited glioblastoma cell proliferation and self-renewal in vitro and tumor growth in vivo in an orthotopical mouse model, indicating that this metabolic pathway is a potential key therapeutic target. Collectively, our results unveil a targetable metabolic pathway, which contributes to the growth and progression of aggressive high-grade gliomas, as well as a novel predictive marker for glioblastoma diagnosis and therapy.

miR-146a-5p Plays an Oncogenic Role in NSCLC via Suppression of TRAF6.

Non-small cell lung cancer (NSCLC) is the most deadly cancer in the world due to its often delayed diagnosis. Identification of biomarkers with high sensitivity, specificity, and accessibility for early detection, such as circulating microRNAs, is therefore of utmost importance. In the present study, we identified a significantly higher expression of miR-146a-5p in the serum and tissue samples of NSCLC patients than that of the healthy controls. In parallel, miR-146a-5p was also highly expressed in three human NSCLC adenocarcinoma-cell lines (A549, H1299, and H1975) compared to the human bronchial epithelium cell line (HBE). By dual-luciferase reporter assay and manipulation of the expressions of miR-146a-5p and its target gene, tumor necrosis factor receptor-associated factor 6 (TRAF6), we showed that the functional effects of miR-146a-5p on NSCLC cell survival and migration were mediated by direct binding to and suppression of TRAF6. Overexpression of TRAF6 sufficiently reversed miR-146a-5p-induced cancer cell proliferation, migration, and apoptosis resistance. Our data implied that miR-146a-5p/TRAF6/NF-κB-p65 axis could be a promising diagnostic marker and a therapeutic target for NSCLC.

The Contrary Effects of Sirt1 on MCF7 Cells Depend on CD36 Expression Level.

BACKGROUND: Breast cancer is one of the most aggressive and pervasive cancers identified in females. Sirt1 and CD36 both exert an essential role toward the oncogenic signaling in breast cancer cells. As reported, the adrenergic signaling could promote the malignancy of breast cancer. This study focuses specifically on the role of Sirt1/CD36 in the proliferation of MCF-7 breast cancer cells and also investigates their response to the α2-adrenergic agonist dexmedetomidine (Dex). MATERIALS AND METHODS: Expression of Sirt1 and CD36 was measured in breast cancer tissue by immunohistochemistry. We cultured MCF7 cells and treated cells with resveratrol (RSV) or Dex. Western blot analysis was performed to quantify the protein expression levels. The methyl thiazolyl tetrazolium (MTT) assay was applied to detect cell proliferation. RESULTS: Compared with normal adjacent tissues, Sirt1 increased and CD36 decreased in cancer tissues. RSV, a Sirt1 activator, increased the proliferation of MCF-7 cells at low concentration but exerted cytotoxicity effect at higher concentration. Sirt1 activation increased the expression of CD36 at higher concentration. Dex treatment gradually increased the proliferation of MCF7 cells in a dose-dependent manner and downregulated the expression of Sirt1/CD36. Interestingly, overexpression of Sirt1 via RSV pretreatment could suppress Dex-stimulated proliferation of breast cancer, accompanied with CD36 upregulation. CONCLUSIONS: though expression of Sirt1 increased in breast cancer progression, overexpression of Sirt1 could inhibit MCF7 proliferation, which may be associated with CD36 upregulation. In addition, the promotion effect of Dex on MCF7 cells, which may be associated with the Sirt1/CD36 inhibition, could be weakened by Sirt1 activation via RSV.

Concept learning through deep reinforcement learning with memory-augmented neural networks.

Deep neural networks have shown superior performance in many regimes to remember familiar patterns with large amounts of data. However, the standard supervised deep learning paradigm is still limited when facing the need to learn new concepts efficiently from scarce data. In this paper, we present a memory-augmented neural network which is motivated by the process of human concept learning. The training procedure, imitating the concept formation course of human, learns how to distinguish samples from different classes and aggregate samples of the same kind. In order to better utilize the advantages originated from the human behavior, we propose a sequential process, during which the network should decide how to remember each sample at every step. In this sequential process, a stable and interactive memory serves as an important module. We validate our model in some typical one-shot learning tasks and also an exploratory outlier detection problem. In all the experiments, our model gets highly competitive to reach or outperform those strong baselines.

Learning to activate logic rules for textual reasoning.

Most current textual reasoning models cannotlearn human-like reasoning process, and thus lack interpretability and logical accuracy. To help address this issue, we propose a novel reasoning model which learns to activate logic rules explicitly via deep reinforcement learning. It takes the form of Memory Networks but features a special memory that stores relational tuples, mimicking the "Image Schema" in human cognitive activities. We redefine textual reasoning as a sequential decision-making process modifying or retrieving from the memory, where logic rules serve as state-transition functions. Activating logic rules for reasoning involves two problems: variable binding and relation activating, and this is a first step to solve them jointly. Our model achieves an average error rate of 0.7% on bAbI-20, a widely-used synthetic reasoning benchmark, using less than 1k training samples and no supporting facts.

Trefoil factor 3 contributes to the malignancy of glioma via regulating HIF-1α.

Trefoil factor 3 (TFF3) plays significant roles in several solid tumors. However, the expression pattern and function of TFF3 in glioblastoma (GBM) have not been reported. Here, we report that expression level of TFF3 significantly elevated in glioma and correlated with the prognosis of glioma patients. Then we found TFF3 promotes proliferation, invasion, and migration and inhibits apoptosis of glioma cells in vitro, and delayed tumor progression in subcutaneous xenograft nude mice, and prolonged the median survival time in orthotopic xenograft mice. Moreover, knockdown of TFF3 reduced the expression of HIF-1α through a hypoxia-independent manner. These findings suggest that targeting TFF3 may offer a novel strategy for therapeutic intervention of malignant gliomas.

Knockdown of NUPR1 inhibits the proliferation of glioblastoma cells via ERK1/2, p38 MAPK and caspase-3.

Nuclear protein-1 (NUPR1), located on chromosome 16p11.2, is a stress response factor that plays an important role in the growth and migration of human malignant tumor cells. However, the role of NUPR1 in glioblastoma remains poorly understood. The expression level of NUPR1 was detected by quantitative real-time PCR and immunohistochemistry (IHC). Wound healing, MTT, cell counting and BrdU assays were used to analyze the migration and proliferation of glioblastoma cells after down-regulating NUPR1 expression using a lentiviral vector. FACS analysis and a signaling antibody array kit were used to detect the mechanism by which NUPR1 modulates cell cycle and apoptosis activities in glioblastoma cells. We confirmed that NUPR1 was up-regulated in glioblastoma tissues compared to NB tissues. Down-regulation of NUPR1 suppressed cell migration and proliferation, arrested the cell cycle in the G0/G1 phase and promoted apoptosis in U251 and U87 cells in vitro. Furthermore, the expression levels of phosphorylated ERK1/2, p38 MAPK and cleaved caspase-3 were decreased upon silencing NUPR1 expression in U251 and U87 cells. In summary, NUPR1 plays an important role in the growth and migration of human glioblastoma cells. Knockdown of NUPR1 suppressed glioblastoma cell growth by arresting the cell cycle and inducing cell apoptosis via decreases in the expression of ERK1/2, p38 MAPK and caspase-3.

Claudin-1 correlates with poor prognosis in lung adenocarcinoma.

BACKGROUND: This study was conducted to investigate the clinical significance of claudin-1 (CLDN1) expression in patients with lung adenocarcinoma. METHODS: We examined CLDN1 protein expression by immunohistochemistry in a tissue microarray from 258 patients with lung adenocarcinoma. We investigated messenger ribonucleic acid (mRNA) expression in H358 (formerly bronchioloalveolar carcinoma) and lung adenocarcinoma cell lines (A549) by real-time reverse transcriptase-polymerase chain reaction. RESULTS: Multivariate analysis showed that prognostic factors for lung adenocarcinoma were histologic type, CLDN1, T stage and N stage. Patients with positive CLDN1 expression had a poorer prognosis than patients with negative CLDN1 expression. CLDN1 expression was correlated with Ras and epidermal growth factor receptor (EGFR) expression. Patients with positive expressions of both CLDN1 and Ras/EGFR had a poorer prognosis than patients with CLDN1 (+) Ras/EGFR(-) or CLDN1 (-) Ras/EGFR(+) and patients with negative expressions of both CLDN1 and Ras/EGFR. CLDN1 mRNA expression was lower in the H358 compared with the lung adenocarcinoma cell line (A549). CONCLUSION: The combination of CLDN1 and Ras/EGFR is a valuable independent prognostic predictor for lung adenocarcinoma.

RNF135, RING finger protein, promotes the proliferation of human glioblastoma cells in vivo and in vitro via the ERK pathway.

Ring finger protein 135 (RNF135), located on chromosome 17q11.2, is a RING finger domain-containing E3 ubiquitin ligase that was identified as a bio-marker and therapy target of glioblastoma. In our study, we confirmed that RNF135 was up-regulated in glioblastoma tissues compared with normal brain (NB) tissues, and that RNF135 knockdown inhibited proliferation and migration and led to cell cycle arrest in the G0/G1 phase in vivo. By lowering RNF135 expression, phosphorylated Erk and cell cycle protein CDK4 were down-regulated, while p27(Kip1) and p21(Waf1/Cip1) were up-regulated in U87 and U251 cells in vitro. In addition, using the immunofluorescence double labelling method, we found that RNF135 and P-Erk were co-localized in the cytoplasm and were highly expressed in glioblastoma samples compared with NB tissues. Moreover, the growth of U87 cell-transplanted tumours in nude mice was inhibited while transduced with Lv-shRNF135. Taken together, our findings demonstrate the biological effects of RNF135 in glioblastoma cell proliferation, migration and cell cycle, and its role in the progression of glioblastoma may be associated with the ERK signal transduction pathway.

Down-regulation of ribosomal protein S15A inhibits proliferation of human glioblastoma cells in vivo and in vitro via AKT pathway.

Ribosomal protein s15a (RPS15A), a highly conserved cytoplasmic protein, promotes mRNA/ribosome interaction in translation. Recent evidence showed that RPS15A is essential for tumor growth. RPS15A expression level was measured in glioblastoma tissue samples and normal brain (NB) tissue samples. RPS15A RNAi stable cell line U87 and U251 was generated by the pLVTHM-GFP lentiviral RNAi expression system. The knockdown efficiency was confirmed by quantitative real-time PCR and western blot. Molecular mechanisms and the effect of RPS15A on cell growth and migration were investigated by using western blot, MTT assay, wound healing assay, transwell migration assay, and tumorigenesis in nude mice. Here, we report that RPS15A is overexpressed in human glioblastoma tumor tissues. RPS15A knockdown inhibits proliferation and migration of glioblastoma cells in vitro. Knocking down RPS15A leads to the level of p-Akt decrease and cell cycle arrested in G0/G1 phase in U87 and U251 cells. Furthermore, the growth of glioblastoma cell-transplanted tumors in nude mice is inhibited by transduction with Lv-shRPS15A. Our findings indicate that RPS15A promotes cell proliferation and migration in glioblastoma for the first time. RPS15A might play a distinct role in glioblastoma and serve as a potential target for therapy.

Somatic mutations in myeloid cell leukemia-1 contribute to the pathogenesis of glioma by prolonging its half-life.

The identification of mutated genes in glioblastoma multiforme (GBM) is an essential step towards improving current understanding of the molecular mechanism underlying the disease and establishing novel targets for diagnostic and therapeutic purposes. The present study used direct sequencing to screen 20 malignancy-associated genes, which have either been well described in the literature or observed multiple times in human cancer sequencing, in cancerous and normal control tissue samples from 20 patients with histologically confirmed GBM. The investigation identified five somatic non-synonymous coding mutations in four candidate genes, with two located in the proline, glutamic acid, serine, threonine-rich region of myeloid cell leukemia sequence 1 (Mcl)-1, (D155G and L174S). The sample pool was then expanded by sequencing Mcl-1 in a further 43 patients with GBM and another somatic mutation in the same region, D155H, was identified. The subsequent functional investigation confirmed that these somatic mutations affected the degradation of Mcl-1, and the growth of glioma cells transfected with mutant plasmids was significantly accelerated compared with cells overexpressing wild-type Mcl-1. The mutational profiling of GBM in the present study revealed for the first time, to the best of our knowledge, several mutations in Mcl-1, and identified this gene as a novel therapeutic target for the treatment of GBM.

DNA damage-induced NF-κB activation in human glioblastoma cells promotes miR-181b expression and cell proliferation.

BACKGROUND: Glioblastoma (GBM) is the most common and most aggressive form of brain cancer. After surgery, radiotherapy is the mainstay of treatment for GBM patients. Unfortunately, the vast majority of GBM patients fail responding to radiotherapy because GBM cells remain highly resistant to radiation. Radiotherapy-induced DNA damage response may correlate with therapeutic resistance. METHODS: Ionizing radiation (IR) was used to induce DNA damage. Cell proliferation and migration were detected by wound-healing, MTT and apoptosis assays. Dual-luciferase assays and Western blot analysis were performed to evaluate NF-κB activation and validate microRNA targets. Real-time PCR was used to study mRNA and microRNA levels. RESULTS: IR-induced DNA damage activated NF-κB in GBM cells which promoted expression of IL-6, IL-8 and Bcl-xL, thereby contributing to cell survival and invasion. Knockdown SENP2 expression enhanced NF-κB essential modulator (NEMO) SUMOylation and NF-κB activity following IR exposure. miR-181b targets SENP2 and positively regulated NF-κB activity. CONCLUSION: NF-κB activation by DNA damage in GBM cells confers resistance to radiation-induced death.

MUC4 modulates human glioblastoma cell proliferation and invasion by upregulating EGFR expression.

Glioblastoma (GBM), the most common primary brain tumor, is the leading cause of deaths related to tumors in the central nervous system. The prognosis of GBM patients is currently poor, and the mechanisms underlying GBM genesis remain unclear. The expression of MUC4, a high-molecular-weight and highly glycosylated protein, has been studied in many cancers. However, information on MUC4 expression in GBM is limited. In this study, we found that MUC4 was overexpressed in GBM cell lines and tissues. The proliferation and invasive potential of GBM cells were significantly increased by the ectopic expression of MUC4. By contrast, RNA interference targeting MUC4 in GBM cells significantly decreased the proliferation and invasive potential of GBM cells. We also found that the expression of epidermal growth factor receptor (EGFR) was modulated by MUC4. EGFR inhibition by siRNA reversed the MUC4-induced proliferation and invasion. These results indicated that MUC4 expression in GBM was important in GBM cell proliferation and invasion, which may be partly associated with EGFR overexpression.

Β-elemene inhibits Hsp90/Raf-1 molecular complex inducing apoptosis of glioblastoma cells.

ß-Elemene, an active component of herb medicine Curcuma wenyujin, has been shown to antagonize glioblastoma cells by inducing apoptosis. However, how ß-elemene induces apoptosis of these cells remains unclear. In this study, we report that ß-elemene disrupted the formation of the Hsp90/Raf-1 complex, a key step in maintaining the conformation stability of Raf-1, and caused deactivation of Raf-1 and inhibition of the ERK pathway, thereby leading to apoptosis of glioblastoma cells. Specifically, treatment of glioblastoma cell lines with ß-elemene attenuated phosphorylation of multiple members of the kinase families in the Ras/Raf/MEK/ERK cascade, including Raf-1 and ERK as well as downstream signaling targets such as Bcl-2. These results suggest that the Hsp90/Raf-1 complex could be a promising molecular target for new drug development for the treatment of glioblastoma.