Genomic and proteomic characterization of YDOV-157, a newly established human epithelial ovarian cancer cell line

The existence of several model systems with which to investigate a particular disease is advantageous for researchers. This is especially true for ovarian cancer, which, due to its complex and heterogeneous nature, inherently requires a large number of model systems. Here, we report a new ovarian serous adenocarcinoma cell line, designated YDOV-157, and characterized via post genomics and post proteomics. In this study, primary culture of tumor cells from ascites was performed and the cells were immortalized up to at least 60 passages in vitro. We studied the morphologies, cell proliferation, BRCA1/2 mutations, tumorigenesis capacity, and chemosensitivity of YDOV-157. Using a cDNA microarray, differentially expressed genes were identified and some of them were validated. Using proteomic analysis, we identified proteins that were differentially expressed in YDOV-157. The newly derived cell line, designated YDOV-157, grew as a monolayer and the doubling time was 102 h. When transplanted into nude mice, it initiated the formation of tumor masses with microscopic findings identical to those of the primary tumor. Chemosensitivity test showed that paclitaxel induced the highest chemosensitivity index. In microarray analysis, 2,520 probes were differently expressed, compared to human ovarian surface epithelial cells (HOSEs). In SYBR Green real-time PCR, the expression of E2F2 (P = 0.040) and CRABP2 genes (P = 0.030) was significantly higher in the ovarian cancer cell lines than in HOSEs. Furthermore, proteomic analysis showed that expression of 28 spots was significantly altered between YDOV-157 and HOSE. In conclusion, the newly derived YDOV-157 cell line may be an important research resource for studying cancer cell biology and should also be very useful for developing new strategies that inhibit cancer cell growth and progression.     

Identification of platinum-resistance associated proteins through proteomic analysis of human ovarian cancer cells and their platinum-resistant sublines

Chemoresistance is a major therapeutic obstacle in cancer patients, and the mechanisms of drug resistance are not fully understood. In the present study, we established platinum-resistant human ovarian cancer cell lines and identified differentially expressed proteins related to platinum resistance. The total proteins of two sensitive (SKOV3 and A2780) and four resistant (SKOV3/CDDP, SKOV3/CBP, A2780/CDDP, and A2780/CBP) human ovarian cancer cell lines were isolated by two-dimensional gel electrophoresis (2-DE). The differentially expressed proteins were identified using matrix-assisted laser desorption ionization-time-of-flight mass spectrometry (MALDI-TOF MS). In total, 57 differential protein spots were identified, and five proteins, including annexin A3, destrin, cofilin 1, Glutathione-S-transferase omega 1 (GSTO1-1), and cytosolic NADP+-dependent isocitrate dehydrogenase (IDHc), were found to be co-instantaneous significance compared with their parental cells. The expression of the five proteins was validated by quantitative PCR and western blot, and the western blot results showed complete consistency with proteomic techniques. The five proteins are hopeful to become candidates for platinum resistance. These may be useful for further study of resistance mechanisms and screening of resistant biomarkers.     

Identification of pathways associated with invasive behavior by ovarian cancer cells using multidimensional protein identification technology (MudPIT)

Proteomic profiling has emerged as a useful tool for identifying tissue alterations in disease states including malignant transformation. The aim of this study was to reveal expression profiles associated with the highly motile/invasive ovarian cancer cell phenotype. Six ovarian cancer cell lines were subjected to proteomic characterization using multidimensional protein identification technology (MudPIT), and evaluated for their motile/invasive behavior, so that these parameters could be compared. Within whole cell extracts of the ovarian cancer cells, MudPIT identified proteins that mapped to 2245 unique genes. Western blot analysis for selected proteins confirmed the expression profiles revealed by MudPIT, demonstrating the fidelity of this high-throughput analysis. Unsupervised cluster analysis partitioned the cell lines in a manner that reflected their motile/invasive capacity. A comparison of protein expression profiles between cell lines of high (group 1) versus low (group 2) motile/invasive capacity revealed 300 proteins that were differentially expressed, of which 196 proteins were significantly upregulated in group 1. Protein network and KEGG pathway analysis indicated a functional interplay between proteins up-regulated in group 1 cells, with increased expression of several key members of the actin cytoskeleton, extracellular matrix (ECM) and focal adhesion pathways. These proteomic expression profiles can be utilized to distinguish highly motile, aggressive ovarian cancer cells from lesser invasive ones, and could prove to be essential in the development of more effective strategies that target pivotal cell signaling pathways used by cancer cells during local invasion and distant metastasis.     

Label-Free Quantitative Proteomics and N-terminal Analysis of Human Metastatic Lung Cancer Cells

Proteomic analysis is helpful in identifying cancer-associated proteins that are differentially expressed and fragmented that can be annotated as dysregulated networks and pathways during metastasis. To examine meta-static process in lung cancer, we performed a proteomics study by label-free quantitative analysis and N-terminal analysis in 2 human non-small-cell lung cancer cell lines with disparate metastatic potentials—NCI-H1703 (primary cell, stage I) and NCI-H1755 (metastatic cell, stage IV). We identified 2130 proteins, 1355 of which were common to both cell lines. In the label-free quantitative analysis, we used the NSAF normalization method, resulting in 242 differential expressed proteins. For the N-terminal proteome analysis, 325 N-terminal peptides, including 45 novel fragments, were identified in the 2 cell lines. Based on two proteomic analysis, 11 quantitatively expressed proteins and 8 N-terminal peptides were enriched for the focal adhesion pathway. Most proteins from the quantitative analysis were upregulated in metastatic cancer cells, whereas novel fragment of CRKL was detected only in primary cancer cells. This study increases our understanding of the NSCLC metastasis proteome.     

Mitochondrial comparative proteomics of human ovarian cancer cells and their platinum-resistant sublines

Resistance to platinum-based chemotherapy is the major obstacle to successful treatment of ovarian cancer. It is evident that mitochondrial defects and the dysfunctions of oxidative phosphorylation and energy production in ovarian cancer cells were directly related to their resistance to platinum drugs. Using 2-D DIGE, we compared mitochondrial proteins from two platinum-sensitive human ovarian cancer cell lines (SKOV3 and A2780) with that of four platinum-resistant sublines (SKOV3/CDDP, SKOV3/CBP, A2780/CDDP, and A2780/CBP). Among the 236 differentially expressed spots, five mitochondrial proteins (ATP-α, PRDX3, PHB, ETF, and ALDH) that participate in the electron transport respiratory chain were identified through mass spectrometry. All of them are downregulated in one or two of the platinum-resistant cell lines. Three proteins (ATP-α, PRDX3, and PHB) were validated by using western blot and immunohistochemistry. There is a significant decrease of PHB in tumor tissues from ovarian cancer patients who were resistant to platinum-based chemotherapies. This is the first direct mitochondrial proteomic comparison between platinum-sensitive and resistant ovarian cancer cells. These studies demonstrated that 2-D DIGE-based proteomic analysis could be a powerful tool to investigate limited mitochondrial proteins, and the association of PHB expression with platinum resistance indicates that mitochondria defects may contribute to platinum resistance in ovarian cancer cells.     

融合细胞株Eahy926与亲本人肺腺癌细胞株A549差异表达蛋白的蛋白质组学分析

融合细胞株Eahy926是人肺腺癌细胞株A549和人脐静脉内皮细胞杂交而成的永生化细胞株,具有血管内皮细胞的特性,已广泛用于内皮细胞相关研究. 本研究应用蛋白质组学技术分析融合细胞株Eahy926与亲本人肺腺癌细胞株A549的蛋白质差异表达,探讨融合细胞生物学特性变化及其机制. 对Eahy926和亲本A549的细胞总蛋白质进行双向凝胶电泳,在PDQuest软件辅助下找出差异表达蛋白质点,经肽质量指纹图谱(peptide mass fingerprinting, PMF) 和串级质谱(tandem mass spectrometry,TMS) 分析,SWISS-PROT数据库检索,成功鉴定出28个差异蛋白,如CATB、CK8、CK18、annexin A2、GRP78、HSP90、HSP60、vimentin等一些与分子伴侣、氧化应激、能量代谢、信号转导等有关,并与肿瘤细胞分裂增殖、分化凋亡、侵袭转移、免疫逃逸以及肿瘤血管生长密切关联的蛋白质. 研究发现,融合细胞株Eahy926和人肺腺癌细胞株A549的蛋白质组表达谱存在明显差异,这将有助于今后进一步探讨肿瘤细胞与内皮细胞的相互作用机制及其融合细胞的特性,筛选肿瘤增殖和转移相关蛋白质及分子标志物,亦可为肿瘤的抗血管生成治疗提供新思路.     

Comprehensive proteome analysis of ovarian cancers using liquid phase separation, mass mapping and tandem mass spectrometry: a strategy for identification of candidate cancer biomarkers

A two-dimensional (2-D) liquid phase separation method, liquid isoelectric focusing followed by nonporous reversed-phase high performance liquid chromatography (HPLC), was used to separate proteins from human ovarian epithelial whole cell lysates. HPLC eluent was interfaced on-line to an electrospray ionization (ESI) time of flight (TOF) mass spectrometer to obtain accurate intact protein molecular weights (Mr). 2-D protein expression maps were generated displaying protein isoelectric point (pI) versus intact protein Mr. Resulting 2-D images effectively displayed quantitative differential protein expression in ovarian cancer cells versus non-neoplastic ovarian epithelial cells. Protein peak fractions were collected from the HPLC eluent, enzymatically digested, and analyzed by matrix-assisted laser desorption/ionization (MALDI) TOF-mass spectrometry (MS) peptide mass fingerprinting and by MALDI-quadrupole TOF tandem mass spectrometry peptide sequencing. Interlysate comparisons of differential protein expression between two ovarian adenocarcinoma cell lines, ES2 and MDAH-2774, and ovarian surface epithelial cells was performed. Five pI fractions from each sample were selected for comparative study and over 300 unique proteins were positively identified from the 2-D liquid expression maps using MS, which covered around 60% of proteins detected by on-line ESI-TOF-MS. This represents one of the most comprehensive proteomic analyses of ovarian cancer samples to date. Protein bands with significant up- or down-regulation in one cell line versus another as viewed in the 2-D expression maps were identified. This strategy may prove useful in identifying novel ovarian cancer marker proteins.     

A proteomic approach to paclitaxel chemoresistance in ovarian cancer cell lines

Ovarian cancer is the leading cause of gynaecological cancer mortality. Paclitaxel is used in the first line treatment of ovarian cancer, but acquired resistance represents the most important clinical problem and a major obstacle to a successful therapy. Several mechanisms have been implicated in paclitaxel resistance, however this process has not yet been fully explained. To better understand molecular resistance mechanisms, a comparative proteomic approach was undertaken on the human epithelial ovarian cancer cell lines A2780 (paclitaxel sensitive), A2780TC1 and OVCAR3 (acquired and inherently resistant). Proteins associated with chemoresistance process were identified by DIGE coupled with mass spectrometry (MALDI-TOF and LC-MS/MS). Out of the 172 differentially expressed proteins in pairwise comparisons among the three cell lines, 151 were identified and grouped into ten main functional classes. Most of the proteins were related to the category of stress response (24%), metabolism (22%), protein biosynthesis (15%) and cell cycle and apoptosis (11%), suggesting that alterations of those processes might be involved in paclitaxel resistance mechanisms. This is the first direct proteomic comparison of paclitaxel sensitive and resistant ovarian cancer cells and may be useful for further studies of resistance mechanisms and screening of resistance biomarkers for the development of tailored therapeutic strategies.     

Quantitative proteome analysis of ovarian cancer tissues using a iTRAQ approach

Quantitative proteomics can be used as a screening tool for identification of differentially expressed proteins as potential biomarkers for cancers. Here, we comparatively analyzed the proteome profiles of ovarian cancer tissues and normal ovarian epithelial tissues. Using the high‐throughput proteomic technology of isobaric tags for relative and absolute quantitation (iTRAQ)‐coupled with two‐dimensional‐liquid chromatography‐tandem mass spectrometry, 1,259 unique proteins were identified. Of those, 205 were potentially differentially expressed between ovarian cancer and normal ovarian tissues. Several of the potentially differentially expressed proteins were validated by Western blotting and real‐time quantitative RT‐PCR analyses. Furthermore, up‐regulation of KRT8, PPA1, IDH2, and S100A11 were validated in ovarian tissue microarrays by immunohistochemistry. Silencing of S100A11 expression suppressed the migration and invasion properties of ovarian cancer cells in vitro. Our study represents the successful application of iTRAQ technology to an investigation of ovarian cancer. Many of the potentially differentially expressed proteins identified had not been linked to ovarian cancer before, and provide valuable novel insights into the underlying mechanisms of carcinogenesis in human ovarian cancer. J. Cell. Biochem. 113: 3762–3772, 2012. © 2012 Wiley Periodicals, Inc.     

Comparative Proteomic Profiling of Pancreatic Ductal Adenocarcinoma Cell Lines

Pancreatic cancer is one of the most fatal cancers and is associated with limited diagnostic and therapeutic modalities. Currently, gemcitabine is the only effective drug and represents the preferred first-line treatment for chemotherapy. However, a high level of intrinsic or acquired resistance of pancreatic cancer to gemcitabine can contribute to the failure of gemcitabine treatment. To investigate the underlying molecular mechanisms for gemcitabine resistance in pancreatic cancer, we performed label-free quantification of protein expression in intrinsic gemcitabine-resistant and - sensitive human pancreatic adenocarcinoma cell lines using our improved proteomic strategy, combined with filter-aided sample preparation, single-shot liquid chromatography-mass spectrometry, enhanced spectral counting, and a statistical method based on a power law global error model. We identified 1931 proteins and quantified 787 differentially expressed proteins in the BxPC3, PANC-1, and HPDE cell lines. Bioinformatics analysis identified 15 epithelial to mesenchymal transition (EMT) markers and 13 EMT-related proteins that were closely associated with drug resistance were differentially expressed. Interestingly, 8 of these proteins were involved in glutathione and cysteine/methionine metabolism. These results suggest that proteins related to the EMT and glutathione metabolism play important roles in the development of intrinsic gemcitabine resistance by pancreatic cancer cell lines.     

2D-DIGE analysis of ovarian cancer cell responses to cytotoxic gold compounds

Cytotoxic gold compounds hold today great promise as new pharmacological agents for treatment of human ovarian carcinoma; yet, their mode of action is still largely unknown. To shed light on the underlying molecular mechanisms, we performed 2D-DIGE analysis to identify differential protein expression in a cisplatin-sensitive human ovarian cancer cell line (A2780/S) following treatment with two representative gold(iii) complexes that are known to be potent antiproliferative agents, namely AuL12 and Au(2)Phen. Software analysis using DeCyder was performed and few differentially expressed protein spots were visualized between the three examined settings after 24 h exposure to the cytotoxic compounds, implying that cellular damage at least during the early phases of exposure is quite limited and selective, reflecting the attempts of the cell to repair damage and to survive the insult. The potential of novel proteomic methods to disclose mechanistic details of cytotoxic metallodrugs is herein further highlighted. Different patterns of proteomic changes were highlighted for the two metallodrugs with only a few perturbed protein spots in common. Using MALDI-TOF MS and ESI-Ion trap MS/MS, several differentially expressed proteins were identified. Two of these were validated by western blotting: Ubiquilin-1, responsible for inhibiting degradation of proteins such as p53 and NAP1L1, a candidate marker identified in primary tumors. Ubiquilin-1 resulted over-expressed following both treatments and NAP1L1 was down-expressed in AuL12-treated cells in comparison with control and with Au(2)Phen-treated cells. In conclusion, we performed a comprehensive analysis of proteins regulated by AuL12 and Au(2)Phen, providing a useful insight into their mechanisms of action.     

Proteomic analysis of cisplatin resistance in human ovarian cancer using 2-DE method

Platinum-based chemotherapy, such as cisplatin, is the primary treatment for human ovarian cancer. However, overcoming drug resistance has become an important issue in cancer chemotherapy. In this study, we performed 2-DE and ESI-Q-TOF MS/MS analysis to identify differential proteins expression between cisplatin-sensitive (A2780S) and cisplatin-resistant (A2780-CP) ovarian cancer cell lines. Of the 14 spots identified as differentially expressed (±over twofold, P < 0.05) between the two cell lines, ten spots (corresponding to ten unique proteins) were positively identified by ESI-Q-TOF MS/MS analysis. These proteins include capsid glycoprotein, fructose-bisphosphate aldolase C, heterogeneous nuclear ribonucleoproteins A2/B1, putative RNA-binding protein 3, Ran-specific GTPase-activating protein, ubiquitin carboxyl-terminal hydrolase isozyme L1, stathmin, ATPSH protein, chromobox protein homolog3 and phosphoglycerate kinase 1. The proteins identified in this study would be useful in revealing the mechanisms underlying cisplatin resistance and also provide some clues for further research.     

Epidermal growth factor modulates claudins and tight junctional functions in ovarian cancer cell lines

Ovarian adenocarcinomas, like human ovarian surface epithelial cells, form functional tight junctions. Tight junction molecules claudin-3 and claudin-4, which are the receptors of Clostridium perfringens enterotoxin (CPE), are abnormally upregulated in epithelial ovarian cancers of all subtypes including, mucinous cystadenocarcinoma and serous cystadenocarcinoma. Clostridium perfringens enterotoxin may be a novel tumor-targeted therapy for ovarian cancers. In epithelial ovarian cancers, overexpression of epidermal growth factor receptor has been observed and the exogenous ligand EGF induces epithelial-mesenchymal transition in ovarian surface epithelium. Epidermal growth factor (EGF) signaling modulates expression of claudins with changes of fence and barrier functions in various cell types. However, the regulation of tight junctions by EGF in ovarian cancers remains unclear. In the present study, to investigate the mechanisms of the regulation of tight junctions in ovarian cancers, ovarian cancer cell lines mucinous cystadenocarcinoma (MCAS) and serous cystadenocarcinoma (HUOA) were treated with EGF. Epidermal growth factor downregulated claudin-3 in MCAS and claudin-4 in HUOA by inducing degradation of the proteins with changes in structures and functions of tight junctions via the MEK/ERK or PI3K/Akt signaling pathway. In addition, in HUOA but not MCAS, EGF downregulated the cytotoxic effect of CPE via claudin-4. Thus, there were different mechanisms for regulation of claudins by EGF between subtypes of epithelial ovarian cancer cells in vitro. These results indicate that EGF may affect claudins and tight junctional functions in ovarian cancer cells during cancer progression.     

Protein-based identification of quantitative trait loci associated with malignant transformation in two HER2+ cellular models of breast cancer

Background

A contemporary view of the cancer genome reveals extensive rearrangement compared to normal cells. Yet how these genetic alterations translate into specific proteomic changes that underpin acquiring the hallmarks of cancer remains unresolved. The objectives of this study were to quantify alterations in protein expression in two HER2+ cellular models of breast cancer and to infer differentially regulated signaling pathways in these models associated with the hallmarks of cancer.

Results

A proteomic workflow was used to identify proteins in two HER2 positive tumorigenic cell lines (BT474 and SKBR3) that were differentially expressed relative to a normal human mammary epithelial cell line (184A1). A total of 64 (BT474-184A1) and 69 (SKBR3-184A1) proteins were uniquely identified that were differentially expressed by at least 1.5-fold. Pathway inference tools were used to interpret these proteins in terms of functionally enriched pathways in the tumor cell lines. We observed "protein ubiquitination" and "apoptosis signaling" pathways were both enriched in the two breast cancer models while "IGF signaling" and "cell motility" pathways were enriched in BT474 and "amino acid metabolism" were enriched in the SKBR3 cell line.

Conclusion

While "protein ubiquitination" and "apoptosis signaling" pathways were common to both the cell lines, the observed patterns of protein expression suggest that the evasion of apoptosis in each tumorigenic cell line occurs via different mechanisms. Evidently, apoptosis is regulated in BT474 via down regulation of Bid and in SKBR3 via up regulation of Calpain-11 as compared to 184A1.     

Identification of differentially expressed genes in isogenic highly metastatic and poorly metastatic cell lines of R3230AC rat mammary adenocarcinoma

Tumour metastasis occurs as a result of a cascade of events including alterations in the expression of various genes. The identification of such genes is essential to understanding formation of metastasis. In a previous study, highly metastatic (LN4.D6) and poorly metastatic (CAb.D5) cell lines were obtained from the rat mammary adenocarcinoma cell line R3230AC. Subtractive hybridization was used to identify differentially expressed genes between these two cell lines. We identified eight cDNA clones in CAb.D5 and six cDNA clones in LN4.D6 that were differentially expressed. One of the cDNA clones in each cell line had no homology with known sequences. Expression patterns of these differentially expressed genes were examined in a pair of rat mammary and prostate adenocarcinoma cell lines. Compared with cell lines examined, cDNA FF-10 was only expressed in CAb.D5; however, cDNA RB-8, RE-1, RF-5 were only expressed in the highly metastatic LN4.D6. No correlation was observed between expression patterns of the differentially expressed genes and metastatic potential of these cells. However, differential expression of genes, especially cytokeratins (CK8 and CK5) and collagens (III and IV) between highly metastatic and low metastatic rat mammary adenocarcinoma cell lines might initiate further investigation of these genes in metastatic process.