Comparison of Functional Proteomic Analyses of Human Breast Cancer Cell Lines T47D and MCF7

T47D and MCF7 are two human hormone-dependent breast cancer cell lines which are widely used as experimental models for in vitro and in vivo (tumor xenografts) breast cancer studies. Several proteins involved in cancer development were identified in these cell lines by proteomic analyses. Although these studies reported the proteomic profiles of each cell line, until now, their differential protein expression profiles have not been established. Here, we used two-dimensional gel and mass spectrometry analyses to compare the proteomic profiles of the two cell lines, T47D and MCF7. Our data revealed that more than 164 proteins are differentially expressed between them. According to their biological functions, the results showed that proteins involved in cell growth stimulation, anti-apoptosis mechanisms and cancerogenesis are more strongly expressed in T47D than in MCF7. These proteins include G1/S-specific cyclin-D3 and prohibitin. Proteins implicated in transcription repression and apoptosis regulation, including transcriptional repressor NF-X1, nitrilase homolog 2 and interleukin-10, are, on the contrary, more strongly expressed in MCF7 as compared to T47D. Five proteins that were previously described as breast cancer biomarkers, namely cathepsin D, cathepsin B, protein S100-A14, heat shock protein beta-1 (HSP27) and proliferating cell nuclear antigen (PCNA), are found to be differentially expressed in the two cell lines. A list of differentially expressed proteins between T47D and MCF7 was generated, providing useful information for further studies of breast cancer mechanisms with these cell lines as models

Differential gene expression profile and altered cytokine secretion of thyroid cancer cells in space

This study focuses on the effects of short-term [22 s, parabolic flight campaign (PFC)] and long-term (10 d, Shenzhou 8 space mission) real microgravity on changes in cytokine secretion and gene expression patterns in poorly differentiated thyroid cancer cells. FTC-133 cells were cultured in space and on a random positioning machine (RPM) for 10 d, to evaluate differences between real and simulated microgravity. Multianalyte profiling was used to evaluate 128 secreted cytokines. Microarray analysis revealed 63 significantly regulated transcripts after 22 s of microgravity during a PFC and 2881 after 10 d on the RPM or in space. Genes in several biological processes, including apoptosis (n=182), cytoskeleton (n=80), adhesion/extracellular matrix (n=98), proliferation (n=184), stress response (n=268), migration (n=63), angiogenesis (n=39), and signal transduction (n=429), were differentially expressed. Genes and proteins involved in the regulation of cancer cell proliferation and metastasis, such as IL6, IL8, IL15, OPN, VEGFA, VEGFD, FGF17, MMP2, MMP3, TIMP1, PRKAA, and PRKACA, were similarly regulated under RPM and spaceflight conditions. The resulting effect was mostly antiproliferative. Gene expression during the PFC was often regulated in the opposite direction. In summary, microgravity is an invaluable tool for exploring new targets in anticancer therapy and can be simulated in some aspects in ground-based facilities

Avoiding spam in the proteolytic internet: Future strategies for anti-metastatic MMP inhibition

AbstractPhase III clinical trials with cancer patients with the first generation of synthetic MMP inhibitors (MMPIs) failed due to inefficacy and adverse side effects. These results were unexpected, given the wealth of pre-clinical data implicating MMPs as cancer targets, but are attributable to the broad-spectrum activity of these early MMPIs and the limited knowledge of the variety of biological functions of MMPs at the time they were deployed. These experiences stimulated the development of a variety of highly specific synthetic MMPIs. However, the bottle-neck is the identification of true target-MMPs. Functional genetic approaches are being complicated by the existence of the ‘protease web,’ i.e., the dynamic interconnectivity of MMPs and other proteases, their inhibitors, and substrates that collectively establish homeostasis in signaling in healthy and disease-afflicted tissue. Therefore, even specific MMP inhibition can result in seemingly unpredictable induction of systemic protease web-associated modulations (spam), which can comprise metastasis-promoting molecules such as other proteases and cytokines. Such undesired information in local proteolytic networks or relayed systemically in the organism via the proteolytic internet needs to be understood and defined in order to design specific metastasis therapies employing highly specific MMPIs in combination with spam-filtering agents