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Purpose: The phosphatidylinositol 3′-kinase (PI3K) family plays a key regulatory role in various cancer-associated signal transduction pathways. Here, we investigated the genomic alterations and gene expression of most known PI3K family members in human epithelial ovarian cancer. Experimental Design: The DNA copy number of PI3K family genes was screened by a high-resolution array comparative genomic hybridization in 89 human ovarian cancer specimens. The mRNA expression level of PI3K genes was analyzed by microarray retrieval approach, and further validated by real-time reverse transcription-PCR. The expression of p55γ protein in ovarian cancer was analyzed on tissue arrays. Small interfering RNA was used to study the function of PIK3R3 in ovarian cancer. Results: In ovarian cancer, 6 of 12 PI3K genes exhibited significant DNA copy number gains (>20%), including PIK3CA (23.6%), PIK3CB (27.0%), PIK3CG (25.8%), PIK3R2 (29.2%), PIK3R3 (21.3%), and PIK3C2B (40.4%). Among those, only PIK3R3 had significantly up-regulated mRNA expression level in ovarian cancer compared with normal ovary. Up-regulated PIK3R3 mRNA expression was also observed in liver, prostate, and breast cancers. The PIK3R3 mRNA expression level was significantly higher in ovarian cancer cell lines (n = 18) than in human ovarian surface epithelial cells (n = 6, P = 0.002). Overexpression of p55γ protein in ovarian cancer was confirmed by tissue array analysis. In addition, we found that knockdown of PIK3R3 expression by small interfering RNA significantly increased the apoptosis in cultured ovarian cancer cell lines. Conclusion: We propose that PIK3R3 may serve as a potential therapeutic target in human ovarian cancer.

Expression profiling using microarrays has become an essential tool for interrogating tumor biology. However, profiling of whole tumor RNA reflects both tumor and host cells, making it difficult to dissect molecular events within specific cellular compartments in the tumor microenvironment. We developed and optimized a simple, rapid technique combining immunohistochemistry and laser-capture microdissection (immuno-LCM) to purify specific cell populations from the tumor microenvironment followed by RNA isolation and amplification for microarray analysis. Using this methodology, we were able to elucidate the in situ expression profile of pure tumor cells and tumor endothelial cells from ovarian tumors with brisk immune infiltrates. This technique not only increased the specificity of profiling isolated cell populations, eliminating genes expressed by surrounding cells, but also increased the sensitivity of analysis, allowing for the detection of low expression genes that were not detected in whole tumor arrays. Pathway analysis of tumor cells in situ identified distinct activation of signaling pathways converging on NF-kappaB, as compared to pathways identified in cultured tumor cell lines, which were primarily metabolic. Profiling of tumor vascular cells revealed most known panendothelial and tumor endothelial-specific markers, and unveiled genes specific to the myeloid-monocytic lineage. We propose that immuno-LCM coupled with transcriptional profiling is a convenient tool for dissecting molecular and cellular events in complex biological systems such as the tumor microenvironment.

The protein kinase C (PKC) family plays a key regulatory role in a wide range of cellular functions as well as in various cancer-associated signal transduction pathways. Here, we investigated the genomic alteration and gene expression of most known PKC family members in human ovarian cancer. The DNA copy number of PKC family genes was screened by a high-resolution array-based comparative genomic hybridization in 89 human ovarian cancer specimens. Five PKC genes exhibited significant DNA copy number gains, including PKCι (43.8%), PKCβ1 (37.1%), PKCγ (27.6%), PKCζ (22.5%), and PKC𝛉 (21.3%). None of the PKC genes exhibited copy number loss. The mRNA expression level of PKC genes was analyzed by microarray retrieval approach. Two of the amplified PKC genes, PKCι and PKC𝛉, were significantly up-regulated in ovarian cancer compared with normal ovary. Increased PKCι expression correlated with tumor stage or grade, and PKCι overexpression was seen mostly in ovarian carcinoma but not in other solid tumors. The above results were further validated by real-time reverse transcription-PCR with 54 ovarian cancer specimens and 24 cell lines; overexpression of PKCι protein was also confirmed by tissue array and Western blot. Interestingly, overexpressed PKCι did not affect ovarian cancer cell proliferation or apoptosis in vitro. However, decreased PKCι expression significantly reduced anchorage-independent growth of ovarian cancer cells, whereas overexpression of PKCι contributed to murine ovarian surface epithelium transformation in cooperation with mutant Ras. We propose that PKCι may serve as an oncogene and a biomarker of aggressive disease in human ovarian cancer. (Cancer Res 2006; 66(9): 4627-35)

Epithelial ovarian cancer is the most frequent cause of gynecologic malignancy-related mortality in women. To identify genes up-regulated in ovarian cancer, PCR-select cDNA subtraction was done and Drosophila Eyes Absent Homologue 2 (EYA2) was isolated as a promising candidate. The transcriptional coactivator eya controls essential cellular functions during organogenesis of Drosophila. EYA2 mRNA was found to be up-regulated in ovarian cancer by real-time reverse transcription–PCR, whereas its protein product was detected in 93.6% of ovarian cancer specimens by immunohistochemistry (n = 140). EYA2 was amplified in 14.8% of ovarian carcinomas, as detected by array-based comparative genomic hybridization (n = 88). Most importantly, EYA2 overexpression was significantly associated with short overall survival in advanced ovarian cancer (n = 99, P = 0.0361). EYA2 was found to function as transcriptional activator in ovarian cancer cells by Gal4 assay and to promote tumor growth in vivo in xenograft models. Therefore, this study suggests an important role of EYA2 in ovarian cancer and its potential application as a therapeutic target.

Phosphatidylinositol 3-kinase (PI3-kinase) is a novel intracellular transducer involved in a wide range of cancer-associated signaling pathways, which comprises various isoforms and splice variants with distinct biologic activities and clinical implications. Especially, the class Ia PI3-kinase 110 kD catalytic subunit alpha (PIK3CA) is the most important isoform in tumorigenesis and possibly, tumor angiogenesis. Several strategies have been developed to block PI3-kinase for cancer therapy; however, the approach to target specific PI3-kinase isoform has not been explored to date. In the present study, we show that RNA interference (RNAi) through small interfering (siRNA) sequences targeting PIK3CA has potential applications in isoform-specific "knock-down" of PI3-kinase. This strategy provides a novel tool to study the function of various PI3-kinase isoforms and may contribute to isoform-specific targeting of PI3-kinase in human cancer.

Tumor growth results in hypoxia. Understanding the mechanisms of gene expression reprogramming under hypoxia may provide important clues to cancer pathogenesis. We studied miRNA genes that are regulated by hypoxia in ovarian cancer cell lines by TaqMan miRNA assay containing 157 mature miRNAs. MiR-210 was the most prominent miRNA consistently stimulated under hypoxic conditions. We provide evidence for the involvement of the HIF signaling pathway in miR-210 regulation. Biocomputational analysis and in vitro assays demonstrated that e2f transcription factor 3 (e2f3), a key protein in cell cycle, is regulated by miR-210. E2F3 was further confirmed to be downregulated at the protein level upon induction of miR-210. Importantly, we found remarkably high frequency of miR-210 gene copy deletions in ovarian cancer patients (64%, n = 114) and that gene copy number correlates with miR-210 expression levels. Taken together, our results indicate that miR-210 plays a crucial role in tumor onset as a key regulator of the hypoxia response and provide evidence for a link between hypoxia and the regulation of cell cycle.