Cancer is a multifaceted disease that results from dysregulated normal cellular signaling networks caused by genetic, genomic and epigenetic alterations at cell or tissue levels. Uncovering the underlying protein signaling network changes, including cell cycle gene networks in cancer, aids in understanding the molecular mechanism of carcinogenesis and identifies the characteristic signaling network signatures unique for different cancers and specific cancer subtypes. The identified signatures can be used for cancer diagnosis, prognosis, and personalized treatment. During the past several decades, the available technology to study signaling networks has significantly evolved to include such platforms as genomic microarray (expression array, SNP array, CGH array, etc.) and proteomic analysis, which globally assesses genetic, epigenetic, and proteomic alterations in cancer. In this review, we compared Pathway Array analysis with other proteomic approaches in analyzing protein network involved in cancer and its utility serving as cancer biomarkers in diagnosis, prognosis and therapeutic target identification. With the advent of bioinformatics, constructing high complexity signaling networks is possible. As the use of signaling network-based cancer diagnosis, prognosis and treatment is anticipated in the near future, medical and scientific communities should be prepared to apply these techniques to further enhance personalized medicine.
Scutellaria baicalensis is an anti-inflammatory and antineoplastic Chinese herbal therapy. We have previously shown that S. baicalensis can inhibit hepatocellular carcinoma (HCC) cell growth in vitro. In this study, we sought to determine the effect of S. baicalensis on the cell signaling network using our newly developed Pathway Array technology, which screens cell signaling pathways involved in cell cycle regulation. The HCC cell line (HepG2) was treated with S. baicalensis extract in vitro. The effect on the cell cycle was analyzed by flow cytometry, and the expression of various signaling proteins was assayed with Pathway Array. Our results indicate that S. baicalensis exerts a strong growth inhibition of the HepG2 cells via G(2)/M phase arrest. The Pathway Array analysis of 56 proteins revealed a total of 14 differentially expressed proteins or phosphorylations after treatment. Of these, 9 showed a dose-dependent decrease (p53, ETS1, Cdc25B, p63, EGFR, ERK1/2, XIAP, HIF-2alpha, and Cdc25C) whereas one demonstrated a dose-dependent increase (Cyclin E) after treatment with 200 microg/ml of S. baicalensis. Using computer simulation software, we identified additional hubs in the signaling network activated by S. baicalensis. These results indicate that S. baicalensis exerts a broad effect on cell signaling networks leading to a collective inhibition of cell proliferation.
P21-activated protein kinase1 (PAK1), a main downstream effector of small Rho GTPases, Rac1, and Cdc42, plays an important role in the regulation of cell morphogenesis, motility, mitosis, and angiogenesis. Despite its importance, the molecular mechanisms of PAK1 that contributed to colorectal carcinogenesis remain unclear. Our immunohistochemistry showed that PAK1 expression was increased with colorectal cancer (CRC) progression through the adenoma to carcinoma sequence. Furthermore, our results suggested a relationship between PAK1 nuclear localization and the Dukes staging. In the present study, we showed that PAK1 knockdown decreased proliferation and delayed the G1/S cell-cycle transition, and increased apoptosis in vivo and in vitro. In addition, PAK1 knock-down downregulated c-Jun amino terminal kinases (JNK) activity and the levels of cyclinD1, CDK4/6. Inhibition of the JNK activity by chemical inhibitor (SP600125) significantly reduced the effects of PAK1 on CRC proliferation via accumulation of phosphatase and tensin homolog deleted on chromosome 10 (PTEN). In conclusion, our results demonstrate that knockdown of PAK1 could enhance the chemosensitivity of CRCs to 5-fluorouracil through G1 arrest. The mechanism by which PAK1 induced cancer growth might involve activation of JNK as well as downregulation of PTEN. Targeting PAK1 may represent a novel treatment strategy for developing novel chemotherapeutic agents.
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