Kanami Yamazaki

Correlating Phosphatidylinositol 3-Kinase Inhibitor Efficacy with Signaling Pathway Status: In silico and Biological Evaluations

The phosphatidylinositol 3-kinase (PI3K) pathway is frequently activated in human cancers, and several agents targeting this pathway including PI3K/Akt/mammalian target of rapamycin inhibitors have recently entered clinical trials. One question is whether the efficacy of a PI3K pathway inhibitor can be predicted based on the activation status of pathway members. In this study, we examined the mutation, expression, and phosphorylation status of PI3K and Ras pathway members in a panel of 39 pharmacologically well-characterized human cancer cell lines (JFCR39). Additionally, we evaluated the in vitro efficacy of 25 PI3K pathway inhibitors in addition to conventional anticancer drugs, combining these data to construct an integrated database of pathway activation status and drug efficacies (JFCR39-DB). In silico analysis of JFCR39-DB enabled us to evaluate correlations between the status of pathway members and the efficacy of PI3K inhibitors. For example, phospho-Akt and KRAS/BRAF mutations prominently correlated with the efficacy and the inefficacy of PI3K inhibitors, respectively, whereas PIK3CA mutation and PTEN loss did not. These correlations were confirmed in human tumor xenografts in vivo, consistent with their ability to serve as predictive biomarkers. Our findings show that JFCR39-DB is a useful tool to identify predictive biomarkers and to study the molecular pharmacology of the PI3K pathway in cancer.

Chemosensitivity profile of cancer cell lines and identification of genes determining chemosensitivity by an integrated bioinformatical approach using cDNA arrays

We have established a panel of 45 human cancer cell lines (JFCR-45) to explore genes that determine the chemosensitivity of these cell lines to anticancer drugs. JFCR-45 comprises cancer cell lines derived from tumors of three different organs: breast, liver, and stomach. The inclusion of cell lines derived from gastric and hepatic cancers is a major point of novelty of this study. We determined the concentration of 53 anticancer drugs that could induce 50% growth inhibition (GI50) in each cell line. Cluster analysis using the GI50s indicated that JFCR-45 could allow classification of the drugs based on their modes of action, which coincides with previous findings in NCI-60 and JFCR-39. We next investigated gene expression in JFCR-45 and developed an integrated database of chemosensitivity and gene expression in this panel of cell lines. We applied a correlation analysis between gene expression profiles and chemosensitivity profiles, which revealed many candidate genes related to the sensitivity of cancer cells to anticancer drugs. To identify genes that directly determine chemosensitivity, we further tested the ability of these candidate genes to alter sensitivity to anticancer drugs after individually overexpressing each gene in human fibrosarcoma HT1080. We observed that transfection of HT1080 cells with the HSPA1A and JUN genes actually enhanced the sensitivity to mitomycin C, suggesting the direct participation of these genes in mitomycin C sensitivity. These results suggest that an integrated bioinformatical approach using chemosensitivity and gene expression profiling is useful for the identification of genes determining chemosensitivity of cancer cells.

Inhibition profiles of phosphatidylinositol 3-kinase inhibitors against PI3K superfamily and human cancer cell line panel JFCR39.

As accumulating evidences suggest close involvement of phosphatidylinositol 3-kinase (PI3K) in various diseases particularly cancer, considerable competition occurs in development of PI3K inhibitors. Consequently, novel PI3K inhibitors such as ZSTK474, GDC-0941 and NVP-BEZ235 have been developed. Even though all these inhibitors were reported to inhibit class I PI3K but not dozens of protein kinases, whether they have different molecular targets remained unknown. To investigate such molecular target specificity, we have determined the inhibitory effects of these novel inhibitors together with classical PI3K inhibitor LY294002 on PI3K superfamily (including classes I, II, and III PI3Ks, PI4K and PI3K-related kinases) by using several novel non-radioactive biochemical assays. As a result, ZSTK474 and GDC-0941 indicated highly similar inhibition profiles for PI3K superfamily, with class I PI3K specificity much higher than NVP-BEZ235 and LY294002. We further investigated their growth inhibition effects on JFCR39, a human cancer cell line panel which we established for molecular target identification, and analysed their cell growth inhibition profiles (fingerprints) by using COMPARE analysis programme. Interestingly, we found ZSTK474 exhibited a highly similar fingerprint with GDC-0941 (r=0.863), more similar than with that of either NVP-BEZ235 or LY294002, suggesting that ZSTK474 shares more in molecular targets with GDC-0941 than with either of the other two PI3K inhibitors, consistent with the biochemical assay result. The biological implication of the difference in molecular target specificity of these PI3K inhibitors is under investigation.

Evaluation of Action Mechanisms of Toxic Chemicals Using JFCR39, a Panel of Human Cancer Cell Lines

We previously established a panel of human cancer cell lines, JFCR39, coupled to an anticancer drug activity database; this panel is comparable with the NCI60 panel developed by the National Cancer Institute. The JFCR39 system can be used to predict the molecular targets or evaluate the action mechanisms of the test compounds by comparing their cell growth inhibition profiles (i.e., fingerprints) with those of the standard anticancer drugs using the COMPARE program. In this study, we used this drug activity database-coupled JFCR39 system to evaluate the action mechanisms of various chemical compounds, including toxic chemicals, agricultural chemicals, drugs, and synthetic intermediates. Fingerprints of 130 chemicals were determined and stored in the database. Sixty-nine of 130 chemicals (∼60%) satisfied our criteria for the further analysis and were classified by cluster analysis of the fingerprints of these chemicals and several standard anticancer drugs into the following three clusters: 1) anticancer drugs, 2) chemicals that shared similar action mechanisms (for example, ouabain and digoxin), and 3) chemicals whose action mechanisms were unknown. These results suggested that chemicals belonging to a cluster (i.e., a cluster of toxic chemicals, a cluster of anticancer drugs, etc.) shared similar action mechanism. In summary, the JFCR39 system can classify chemicals based on their fingerprints, even when their action mechanisms are unknown, and it is highly probable that the chemicals within a cluster share common action mechanisms.

AMF-26, a Novel Inhibitor of the Golgi System, Targeting ADP-ribosylation Factor 1 (Arf1) with Potential for Cancer Therapy

Background: Golgi is a potential target for cancer treatment, but no inhibitor became an anticancer drug. Results: Using a unique bioinformatics approach, we identified a novel Golgi inhibitor, AMF-26, targeting Arf1 activation and possessing potent antitumor activity. Conclusion: AMF-26 is a promising new anticancer drug lead. Significance: Our data indicate that Arf1 activation is a promising target for cancer treatment. ADP-ribosylation factor 1 (Arf1) plays a major role in mediating vesicular transport. Brefeldin A (BFA), a known inhibitor of the Arf1-guanine nucleotide exchange factor (GEF) interaction, is highly cytotoxic. Therefore, interaction of Arf1 with ArfGEF is an attractive target for cancer treatment. However, BFA and its derivatives have not progressed beyond the pre-clinical stage of drug development because of their poor bioavailability. Here, we aimed to identify novel inhibitors of the Arf1-ArfGEF interaction that display potent antitumor activity in vivo but with a chemical structure distinct from that of BFA. We exploited a panel of 39 cell lines (termed JFCR39) coupled with a drug sensitivity data base and COMPARE algorithm, resulting in the identification of a possible novel Arf1-ArfGEF inhibitor AMF-26, which differed structurally from BFA. By using a pulldown assay with GGA3-conjugated beads, we demonstrated that AMF-26 inhibited Arf1 activation. Subsequently, AMF-26 induced Golgi disruption, apoptosis, and cell growth inhibition. Computer modeling/molecular dynamics (MD) simulation suggested that AMF-26 bound to the contact surface of the Arf1-Sec7 domain where BFA bound. AMF-26 affected membrane traffic, including the cis-Golgi and trans-Golgi networks, and the endosomal systems. Furthermore, using AMF-26 and its derivatives, we demonstrated that there was a significant correlation between cell growth inhibition and Golgi disruption. In addition, orally administrated AMF-26 (83 mg/kg of body weight; 5 days) induced complete regression of human breast cancer BSY-1 xenografts in vivo, suggesting that AMF-26 is a novel anticancer drug candidate that inhibits the Golgi system, targeting Arf1 activation.

Synthesis and pharmacological evaluation of the novel pseudo-symmetrical tamoxifen derivatives as anti-tumor agents

Four pseudo-symmetrical tamoxifen derivatives, RID-B (13), RID-C (14), RID-D (15), and bis(dimethylaminophenetole) (16), were synthesized via the novel three-component coupling reaction, and the structure-activity relationships of these pseudo-symmetrical tamoxifen derivatives were examined. It was discovered that 13 and 16 strongly inhibit the viability of the HL-60 human acute promyelocytic leukemia cell line, whereas 14 possesses a medium activity against the same cell line and 15 has no effect on the cell viability. The global anti-tumor activity of 13-16 against a variety of human cancer cells was assessed using a panel of 39 human cancer cell lines (JFCR 39), and it was shown that RID-B (13) strongly inhibited the growth of several cancer cell lines at concentrations of less than 1 microM (at 0.38 microM for SF-539 [central nervous system], at 0.58 microM for HT-29 [colon], at 0.20 microM for DMS114 [lung], at 0.21 microM for LOX-IMVI [melanoma], and at 0.23 microM for MKN74 [stomach]).

Identification of candidate predictive markers of anticancer drug sensitivity using a panel of human cancer cell lines.

We previously investigated the correlations between the expression of 9216 genes and various chemosensitivities in a panel of 39 human cancer cell lines1) and found that the expression levels of AKR1B1 and CTSH were correlated with sensitivity and resistance to multiple drugs, respectively. To validate these correlations, we investigated the expression of these two genes and the chemosensitivities in 12 additional gastric cancer cell lines. The expression of AKR1B1 in the additional cell lines exhibited significant correlations with sensitivities to 8 of the 23 drugs examined, while that of CTSH displayed a significant negative correlation with only one (MS‐247) of the 27 drugs examined. Their expressions were weakly correlated with sensitivity and resistance, respectively, to the remainder of the drugs. Moreover, when the 12 cell lines were divided into high‐expressing and low‐expressing groups, a comparison of these groups using Mann‐Whitneys U test revealed that high expression levels of AKR1B1 and CTSH were related to sensitivity to 21 of the drugs and resistance to 8 of the drugs, respectively. The present results suggest that AKR1B1 and CTSH may be good markers for prediction of sensitivity to certain drugs and that our panel of 39 cell lines has the potential to identify candidate predictive marker genes.

In vitro multifaceted activities of a specific group of novel phosphatidylinositol 3-kinase inhibitors on hotspot mutant PIK3CA

SummaryBackground As accumulating evidences suggest close involvement of phosphatidylinositol 3-kinase (PI3K) in cancer, novel PI3K inhibitors such as ZSTK474, GDC-0941, NVP-BEZ235 and BKM-120 have been developed for cancer therapy. A high frequency of hotspot mutations known as E542K, E545K and H1047R in the PIK3CA gene, which encodes the catalytic subunit of PI3Kα, has been found in various types of human cancers. The hotspot PIK3CA mutations also lead to resistance to therapeutics targeting epidermal growth factor receptor (EGFR), further suggesting that inhibition of hotspot mutant PIK3CA be required for a PI3K inhibitor as anticancer drug candidate. Methods To investigate the activity of the novel PI3K inhibitors on the hotspot mutant PIK3CA, we determined the inhibition against the respective recombinant mutant PI3Kαs by biochemical assay. We further examined the activity at cellular background by determining the effect on phosphorylation of Akt (Ser473), and that on the growth of cancer cells. In addition, apoptosis and autophagy in cells with or without hotspot PIK3CA mutation induced by the four inhibitors were investigated. Results Our results indicated that each inhibitor exhibit comparable activity on the hotspot mutant PI3Kα to that on the wild type, which was further demonstrated by the cell-based assays. No clear correlation was shown between the PIK3CA genetic status and the sensitivity for apoptosis or autophagy induction. Interestingly, among the 4 PI3K inhibitors, BKM-120 is the weakest in PI3K inhibitory potency, but induces most potent apoptosis, suggesting that BKM-120 might have a unique mode of action. Conclusions Our result shows that the PI3K inhibitors exhibit potent activity on both hotspot mutant and wild type PI3Kα, suggesting they might be used to treat patients with or without PIK3CA mutation when approved.

Antitumor effects of tyropeptin‐boronic acid derivatives: New proteasome inhibitors

The proteasome degrades numerous regulatory proteins that are critical for tumor growth. Thus, proteasome inhibitors are promising antitumor agents. New proteasome inhibitors, such as tyropeptins and tyropeptin‐boronic acid derivatives, have a potent inhibitory activity. Here we report the antitumor effects of two new tyropeptin‐boronic acid derivatives, AS‐06 and AS‐29. AS‐06 and AS‐29 significantly suppress the degradation of the proteasome‐sensitive fluorescent proteins in HEK293PS cells, and induce the accumulation of ubiquitinated proteins in human multiple myeloma cells. We show that these derivatives also suppress the degradation of the NF‐κB inhibitor IκB‐α and the nuclear translocation of NF‐κB p65 in multiple myeloma cells, resulting in the inhibition of NF‐κB activation. Furthermore, we demonstrate that AS‐06 and AS‐29 induce apoptosis through the caspase‐8 and caspase‐9 cascades. In a xenograft mouse model, i.v. administration of tyropeptin‐boronic acid derivatives inhibits proteasome in tumors and clearly suppresses tumor growth in mice bearing human multiple myeloma. Our results indicate that tyropeptin‐boronic acid derivatives could be lead therapeutic agents against human multiple myeloma.

Establishment of a hepatocyte cell line producing growth-promoting factors for liver-colonizing tumor cells.

A hepatocyte‐derived cell line designated MLE‐15A2 was established from a primary culture of mouse hepatocytes. The MLE‐15A2 cells appeared to retain the basic nature of hepatocytes in that they showed morphology of an epithelial cell type and secreted albumin into the culture medium. These cells were grown on collagen‐coated plates and could be easily expanded to a large‐scale culture. Therefore, MLE‐15A2 cells may provide a more useful model for studying liver microenvironments than primary cultures of hepatocytes. We found that conditioned media from MLE‐15A2 cells, as well as from primary cultures of hepatocytes, promoted the proliferation of highly liver‐colonizing colon 26 NL‐17 cells better than the poorly liver‐colonizing colon 26 NL‐4 cells. Moreover, the conditioned media stimulated the growth of some human colon cancer cell lines. These results indicate that MLE‐15A2 cells secrete growth factors that selectively stimulate certain tumor cell types. Hepatocyte‐derived growth factors may regulate selective survival and colonization of tumor cells in the process of liver metastasis. The growth‐promoting activity was unaffected by dialysis, was stable at 80°C for 30 min and was bound to a heparin‐Sepharose column. The major activity was eluted from the column with 0.7–0.75 M NaCl, and some minor activities eluted with lower concentrations of NaCl. These results suggest that the active components are heterogeneous heparin‐binding proteins with lower affinity to heparin than platelet‐derived and fibroblast growth factors.