Inhibition of the mitochondrial pyrimidine biosynthesis enzyme dihydroorotate dehydrogenase by doxorubicin and brequinar sensitizes cancer cells to TRAIL-induced apoptosis.

Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) is a promising agent in selectively killing tumor cells. However, TRAIL monotherapy has not been successful as many cancer cells are resistant to TRAIL. Chemotherapeutic agents, such as doxorubicin have been shown to act synergistically with TRAIL, but the exact mechanisms of actions are poorly understood. In this study, we performed high-throughput small interfering RNA screening and genome-wide gene expression profiling on doxorubicin-treated U1690 cells to explore novel mechanisms underlying doxorubicin-TRAIL synergy. The screening and expression profiling results were integrated and dihydroorotate dehydrogenase (DHODH) was identified as a potential candidate. DHODH is the rate-limiting enzyme in the pyrimidine synthesis pathway, and its expression was downregulated by doxorubicin. We demonstrated that silencing of DHODH or inhibition of DHODH activity by brequinar dramatically increased the sensitivity of U1690 cells to TRAIL-induced apoptosis both in 2D and 3D cultures, and was accompanied by downregulation of c-FLIPL as well as by mitochondrial depolarization. In addition, uridine, an end product of the pyrimidine synthesis pathway was able to rescue the sensitization effects initiated by both brequinar and doxorubicin. Furthermore, several other cancer cell lines, LNCaP, MCF-7 and HT-29 were also shown to be sensitized to TRAIL by brequinar. Taken together, our findings have identified a novel protein target and its inhibitor, brequinar, as a potential agent in TRAIL-based combinatorial cancer therapy and highlighted for the first time the importance of mitochondrial DHODH enzyme and pyrimidine pathway in mediating TRAIL sensitization in cancer cells.

HES6 gene is selectively overexpressed in glioma and represents an important transcriptional regulator of glioma proliferation.

Malignant glioma is the most common brain tumor with 16,000 new cases diagnosed annually in the United States. We performed a systematic large-scale transcriptomics data mining study of 9783 tissue samples from the GeneSapiens database to systematically identify genes that are most glioma-specific. We searched for genes that were highly expressed in 322 glioblastoma multiforme tissue samples and 66 anaplastic astrocytomas as compared with 425 samples from histologically normal central nervous system. Transcription cofactor HES6 (hairy and enhancer of split 6) emerged as the most glioma-specific gene. Immunostaining of a tissue microarray showed HES6 expression in 335 (98.8%) out of the 339 glioma samples. HES6 was expressed in endothelial cells of the normal brain and glioma tissue. Recurrent grade 2 astrocytomas and grade 2 or 3 oligodendrogliomas showed higher levels of HES6 immunoreactivity than the corresponding primary tumors. High HES6 mRNA expression correlated with the proneural subtype that generally has a favorable outcome but is prone to recur. Functional studies suggested an important role for HES6 in supporting survival of glioma cells, as evidenced by reduction of cancer cell proliferation and migration after HES6 silencing. The biological role and consequences of HES6 silencing and overexpression was explored with genome-wide analyses, which implicated a role for HES6 in p53, c-myc and nuclear factor-κB transcriptional networks. We conclude that HES6 is important for glioma cell proliferation and migration, and may have a role in angiogenesis.

Protein lysate microarray analysis to identify microRNAs regulating estrogen receptor signaling in breast cancer cell lines.

Predicting the impact of microRNAs (miRNAs) on target proteins is challenging because of their different regulatory effects at the transcriptional and translational levels. In this study, we applied a novel protein lysate microarray (LMA) technology to systematically monitor for target protein levels after high-throughput transfections of 319 pre-miRs into breast cancer cells. We identified 21 miRNAs that downregulated the estrogen receptor-alpha (ERalpha), as validated by western blotting and quantitative real time-PCR, and by demonstrating the inhibition of estrogen-stimulated cell growth. Five potent ERalpha-regulating miRNAs, miR-18a, miR-18b, miR-193b, miR-206 and miR-302c, were confirmed to directly target ERalpha in 3'-untranslated region reporter assays. The gene expression signature that they repressed highly overlapped with that of a small interfering RNA against ERalpha, and across all the signatures tested, was most closely associated with the repression of known estrogen-induced genes. Furthermore, miR-18a and miR-18b showed higher levels of expression in ERalpha-negative as compared with ERalpha-positive clinical tumors. In summary, we present systematic and direct functional evidence of miRNAs inhibiting ERalpha signaling in breast cancer, and demonstrate the high-throughput LMA technology as a novel, powerful technique in determining the relative impact of various miRNAs on key target proteins and associated cellular processes and pathways.

Identification of target genes in laryngeal squamous cell carcinoma by high-resolution copy number and gene expression microarray analyses.

Molecular mechanisms contributing to initiation and progression of head and neck squamous cell carcinoma are still poorly known. Numerous genetic alterations have been described, but molecular consequences of such alterations in most cases remain unclear. Here, we performed an integrated high-resolution microarray analysis of gene copy number and expression in 20 laryngeal cancer cell lines and primary tumors. Our aim was to identify genetic alterations that play a key role in disease pathogenesis and pinpoint genes whose expression is directly impacted by these events. Integration of DNA level data from array-based comparative genomic hybridization with RNA level information from oligonucleotide microarrays was achieved with custom-developed bioinformatic methods. High-level amplifications had a clear impact on gene expression. Across the genome, overexpression of 739 genes could be attributed to gene amplification events in cell lines, with 325 genes showing the same phenomenon in primary tumors including FADD and PPFIA1 at 11q13. The analysis of gene ontology and pathway distributions further pinpointed genes that may identify potential targets of therapeutic intervention. Our data highlight genes that may be critically important to laryngeal cancer progression and offer potential therapeutic targets.