Proteomic signatures for histological types of lung cancer

We performed proteomic studies on lung cancer cells to elucidate the mechanisms that determine histological phenotype. Thirty lung cancer cell lines with three different histological backgrounds (squamous cell carcinoma, small cell lung carcinoma and adenocarcinoma) were subjected to two-dimensional difference gel electrophoresis (2-D DIGE) and grouped by multivariate analyses on the basis of their protein expression profiles. 2-D DIGE achieves more accurate quantification of protein expression by using highly sensitive fluorescence dyes to label the cysteine residues of proteins prior to two-dimensional polyacrylamide gel electrophoresis. We found that hierarchical clustering analysis and principal component analysis divided the cell lines according to their original histology. Spot ranking analysis using a support vector machine algorithm and unsupervised classification methods identified 32 protein spots essential for the classification. The proteins corresponding to the spots were identified by mass spectrometry. Next, lung cancer cells isolated from tumor tissue by laser microdissection were classified on the basis of the expression pattern of these 32 protein spots. Based on the expression profile of the 32 spots, the isolated cancer cells were categorized into three histological groups: the squamous cell carcinoma group, the adenocarcinoma group, and a group of carcinomas with other histological types. In conclusion, our results demonstrate the utility of quantitative proteomic analysis for molecular diagnosis and classification of lung cancer cells.     

Buffer optimization for high resolution of human lung cancer tissue proteins by two-dimensional gel electrophoresis

A problem in proteomic analysis of lung cancer tissue is the presence of complex components of different histological backgrounds (squamous cell carcinoma, small cell lung carcinoma, and adenocarcinoma). The efficient solubilization of protein components before two-dimensional electrophoresis (2-DE) is a very critical. Poor solubilization has been associated with a failure to detect proteins and diffuse, streaked and/or trailing protein spots. Here, we have optimized the solubilization of human lung cancer tissue to increase protein resolution. Isoelectric focusing (IEF) rehydration buffer containing a thiourea–urea mixture provided superior resolution, whereas a buffer without thiourea yielded consistently poor results. In addition, IEF rehydration buffers containing CHAPS and DTT gave superior resolution, whereas buffers containing Nonidet P-40 (NP-40) and/or Triton X-100 did not. A tributylphosphine-containing buffer gave consistently poor results. Using optimized conditions, we used 2-D gel analysis of human lung cancer tissue to identify 11 differentially-expressed protein spots by MALDI-mass spectrometry. This study provides a methodological tool to study the complex mammalian proteomes.     

Plasma proteomics of lung cancer by a linkage of multi-dimensional liquid chromatography and two-dimensional difference gel electrophoresis

To investigate aberrant plasma proteins in lung cancer, we compared the proteomic profiles of serum from five lung cancer patients and from four healthy volunteers. Immuno-affinity chromatography was used to deplete highly abundant plasma proteins, and the resulting plasma samples were separated into eight fractions by anion-exchange chromatography. Quantitative protein profiles of the fractionated samples were generated by two-dimensional difference gel electrophoresis, in which the experimental samples and the internal control samples were labeled with different dyes and co-separated by two-dimensional polyacrylamide gel electrophoresis. This approach succeeded in resolving 3890 protein spots. For 364 of the protein spots, the expression level in lung cancer was more than twofold different from that in the healthy volunteers. These differences were statistically significant (Student's t-test, p-value less than 0.05). Mass spectrometric protein identification revealed that the 364 protein spots corresponded to 58 gene products, including the classical plasma proteins and the tissue-leakage proteins catalase, clusterin, ficolin, gelsolin, lumican, tetranectin, triosephosphate isomerase and vitronectin. The combination of multi-dimensional liquid chromatography and two-dimensional difference gel electrophoresis provides a valuable tool for serum proteomics in lung cancer.     

不同分化程度的鼻咽癌细胞系质膜差异蛋白质组分析

本研究以CNE1和CNE2为材料,采用亚细胞蛋白质组研究方法研究不同分化程度鼻咽癌细胞系的差异蛋白质．首先用Percoll密度梯度离心法获得高纯度质膜,通过双向凝胶电泳分离、PDQuest软件分析后找出在肿瘤细胞中表达变化的蛋白质点,再用基质辅助激光解析电离飞行时间串联质谱（MALDI-TOF/TOF-MS）进行鉴定,共鉴定到9个具有2倍或2倍以上差异的蛋白质.这些表达差异的蛋白质参与了细胞分化、代谢及细胞信号传导过程．我们对其中5个蛋白质进行了实时定量PCR分析,对其中4个蛋白质的表达进行了免疫印迹验证．本试验为研究不同分化程度的鼻咽癌提供了一种蛋白质组研究方法,并且找到了galectin-1、annexin Ⅱ等一些可能与分化相关的蛋白质.这些数据对于研究鼻咽癌的生物学特性具有非常重要的意义．     

Comparative proteomic analysis of mouse livers from embryo to adult reveals an association with progression of hepatocellular carcinoma

To identify potential oncofetal biomarkers that distinguish hepatocellular carcinoma (HCC) from healthy liver tissues, we compared and analyzed the proteomic profiles of mouse livers at different developmental stages. Fetal (E13.5, E16.5), newborn (NB), postnatal (3-week) and adult (3-month) livers were isolated and profiled by 2-D PAGE. Statistical analysis using linear regression and false discovery rate (FDR) revealed that 361 protein spots showed significant changes. Unsupervised hierarchical tree analysis segregated the proteins into fetal, NB, and postnatal-adult clusters. Distinctive protein markers were identified by MALDI-TOF/MS and the corresponding mRNA profiles were further determined by Q-PCR. Fetal markers (hPCNA, hHSP7C, hHEM6) and postnatal-adult markers (hARGI1, hASSY, hBHMT, hFABPL) were selected for testing against a panel of seven human hepatocyte/HCC cell lines and 59 clinical specimens. The fetal proteins were found to be overexpressed in the metastatic HCC cell lines and the tumor tissues, whereas the postnatal-adult proteins were expressed in non-tumor tissues and normal hepatocytes. This "Ying-Yang" pattern, as orchestrated by distinct fetal and adult markers, is hypothesized to indicate the progressive change of the liver from a growing, less-differentiated organ into a functional metabolic center. Thus, embryogenesis and tumorigenesis share certain oncofetal markers and adult "hepatic" phenotypes are lost in HCC.     

Proteomic study of malignant pleural mesothelioma by laser microdissection and two-dimensional difference gel electrophoresis identified cathepsin D as a novel candidate for a differential diagnosis biomarker

To investigate the proteomic background of malignancies of the pleura, we examined and compared the proteomic profile of malignant pleural mesothelioma (MPM)(10 cases), lung adenocarcinoma (11 cases), squamous cell carcinoma of the lung (13 cases), pleomorphic carcinoma of the lung (3 cases) and synovial sarcoma (6 cases). Cellular proteins were extracted from specific populations of tumor cells recovered by laser microdissection. The extracted proteins were labeled with CyDye DIGE Fluor saturation dyes and subjected to two-dimensional difference gel electrophoresis (2D-DIGE) using a large format electrophoresis device. Among 3875 protein spots observed, the intensity of 332 was significantly different (Wilcoxon p value less than 0.05) and with more than two-fold inter-sample-group average difference between the different histology groups. Among these 332, 282 were annotated by LC-MS/MS and included known biomarker proteins for MPM, such as calretinin, as well as proteins previously uncharacterized in MPM. Tissue microarray immunohistochemistry revealed that the expression of cathepsin D was lower in MPM than in lung adenocarcinoma (15% vs. 44% of cases respectively in immunohistochemistry). In conclusion, we examined the protein expression profile of MPM and other lung malignancies, and identified cathepsin D to distinguish MPM from most popular lung cancer such as lung adenocarcinoma.     

Identification of tumour-induced changes in endothelial cell surface protein expression: an in vitro model

The selective destruction of the supporting vasculature of tumours has been proposed as a means of therapy. Fundamental to this approach is the identification of suitable targets on tumour-endothelium. To detect proteins that may be up-regulated on the luminal (apical) surface of tumour-associated endothelium confluent endothelial cells were examined following incubation with tumour cell conditioned medium (TCM) from, or co-culture with, a range of breast carcinoma and small cell lung carcinoma (SCLC) cell lines. Exposed endothelial membrane proteins were labelled with sulpho-NHS-biotin and detected by enhanced chemiluminescence following two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) and western blotting. TCM induced varying levels of proliferative activity in endothelial cells; generally breast TCM contained greater mitogenic activity than SCLC TCM. Exposure of human breast and lung microvascular, and umbilical vein endothelial cells to soluble tumour cell factors from several breast cancer and SCLC cells lines produced similar changes in luminal protein profiles: Breast cancer cells and in particular the MDA-MB-231 cell line induced the most pronounced changes. The expression of six proteins was altered consistently on endothelial cells stimulated with soluble tumour cell factors. However, similar changes were observed following incubation with ECGS suggesting that they were related to endothelial cell proliferation per se. As these proteins were altered in breast and lung microvascular, and umbilical vein endothelial cells stimulated by a variety of breast cancer and SCLC cell lines they support the potentially broad applicability of anti-vascular approaches targeted at the endothelium.     

From Proteomic Analysis to Potential Therapeutic Targets: Functional Profile of Two Lung Cancer Cell Lines,A549 and SW900, Widely Studied in Pre-Clinical Research

Lung cancer is a serious health problem and the leading cause of cancer death worldwide. The standard use of cell lines as in vitro pre-clinical models to study the molecular mechanisms that drive tumorigenesis and access drug sensitivity/effectiveness is of undisputable importance. Label-free mass spectrometry and bioinformatics were employed to study the proteomic profiles of two representative lung cancer cell lines and to unravel the specific biological processes. Adenocarcinoma A549 cells were enriched in proteins related to cellular respiration, ubiquitination, apoptosis and response to drug/hypoxia/oxidative stress. In turn, squamous carcinoma SW900 cells were enriched in proteins related to translation, apoptosis, response to inorganic/organic substances and cytoskeleton organization. Several proteins with differential expression were related to cancer transformation, tumor resistance, proliferation, migration, invasion and metastasis. Combined analysis of proteome and interactome data highlighted key proteins and suggested that adenocarcinoma might be more prone to PI3K/Akt/mTOR and topoisomerase IIα inhibitors, and squamous carcinoma to Ck2 inhibitors. Moreover, ILF3 overexpression in adenocarcinoma, and PCNA and NEDD8 in squamous carcinoma shows them as promising candidates for therapeutic purposes. This study highlights the functional proteomic differences of two main subtypes of lung cancer models and hints several targeted therapies that might assist in this type of cancer.     

鼻咽癌细胞系与永生化的鼻咽上皮细胞系蛋白质表达差异分析

鼻咽癌对我国南部居民的健康造成严重的威胁.为了研究鼻咽癌的发病机理,本研究采用了蛋白质组学技术分析和比较了鼻咽癌细胞系（HNE1和CNE1）与永生化的鼻咽上皮细胞系的蛋白质表达谱.采用双向凝胶电泳分离提取的全细胞蛋白质,通过PDQuest软件分析找出在肿瘤中表达变化的蛋白质点,用基质辅助激光解析电离飞行时间串联质谱(MALDI- TOF/TOF-MS)进行鉴定.共得到了15个在肿瘤细胞系中表达上调和18个在肿瘤细胞系中表达下调的蛋白质,并对其中一些蛋白质的表达进行免疫印迹的验证.这些表达差异的蛋白质与细胞的增殖和调亡、癌症的转移,细胞骨架,信号传导等有关.本研究鉴定了一批可能作为鼻咽癌治疗的药物靶标的蛋白质,并对研究鼻咽癌发病机理提供了相关的线索.     

Proteomic analysis of human saliva from lung cancer patients using two-dimensional difference gel electrophoresis and mass spectrometry

Lung cancer is often asymptomatic or causes only nonspecific symptoms in its early stages. Early detection represents one of the most promising approaches to reduce the growing lung cancer burden. Human saliva is an attractive diagnostic fluid because its collection is less invasive than that of tissue or blood. Profiling of proteins in saliva over the course of disease progression could reveal potential biomarkers indicative of oral or systematic diseases, which may be used extensively in future medical diagnostics. There were 72 subjects enrolled in this study for saliva sample collection according to the approved protocol. Two-dimensional difference gel electrophoresis combined with MS was the platform for salivary proteome separation, quantification, and identification from two pooled samples. Candidate proteomic biomarkers were verified and prevalidated by using immunoassay methods. There were 16 candidate protein biomarkers discovered by two-dimensional difference gel electrophoresis and MS. Three proteins were further verified in the discovery sample set, prevalidation sample set, and lung cancer cell lines. The discriminatory power of these candidate biomarkers in lung cancer patients and healthy control subjects can reach 88.5% sensitivity and 92.3% specificity with AUC = 0.90. This preliminary data report demonstrates that proteomic biomarkers are present in human saliva when people develop lung cancer. The discriminatory power of these candidate biomarkers indicate that a simple saliva test might be established for lung cancer clinical screening and detection.     

CAFET algorithm reveals Wnt/PCP signature in lung squamous cell carcinoma

We analyzed the gene expression patterns of 138 Non-Small Cell Lung Cancer (NSCLC) samples and developed a new algorithm called Coverage Analysis with Fisher's Exact Test (CAFET) to identify molecular pathways that are differentially activated in squamous cell carcinoma (SCC) and adenocarcinoma (AC) subtypes. Analysis of the lung cancer samples demonstrated hierarchical clustering according to the histological subtype and revealed a strong enrichment for the Wnt signaling pathway components in the cluster consisting predominantly of SCC samples. The specific gene expression pattern observed correlated with enhanced activation of the Wnt Planar Cell Polarity (PCP) pathway and inhibition of the canonical Wnt signaling branch. Further real time RT-PCR follow-up with additional primary tumor samples and lung cancer cell lines confirmed enrichment of Wnt/PCP pathway associated genes in the SCC subtype. Dysregulation of the canonical Wnt pathway, characterized by increased levels of β-catenin and epigenetic silencing of negative regulators, has been reported in adenocarcinoma of the lung. Our results suggest that SCC and AC utilize different branches of the Wnt pathway during oncogenesis.     

Proteomic study of human hepatocellular carcinoma using two-dimensional difference gel electrophoresis with saturation cysteine dye

To identify the proteomic alterations associated with carcinogenesis of hepatocellular carcinoma (HCC), we compared the protein expression profiles of nine HCC cell lines with those of primary cultured hepatocytes established from five individuals. A differential proteomic study was performed by two-dimensional difference gel electrophoresis, in which protein samples are labeled with different fluorescent dyes and separated according to their isoelectric point and molecular weight. To label the protein samples, we used a newly developed and highly sensitive fluorescent dye, which reacts with all reduced cysteine residues of proteins. Principal component analysis based on the intensity of 1238 protein spots indicated that the HCC cells and the normal hepatocytes had distinct proteomic profiles. The Wilcoxon test was used to determine the protein spots whose intensity was differentially regulated in the HCC cells compared with the normal hepatocytes, and mass spectrometric analysis was used to identify the proteins corresponding to the spots. The proteins identified are involved in cell cycle regulation, binding to a tumor-suppressor gene product, fatty acid binding, and regulation of translation. Western blotting with specific antibodies revealed the overexpression of PCNA, EB1 and E-FABP in HCC tissues compared with noncancerous tissues. Aberrant regulation of EB1 and E-FABP has not previously been implicated in the development of HCC.     

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.     

nm23-H1基因转染前后人高转移大细胞肺癌细胞株双向凝胶电泳图谱分析

为了更全面地了解nm23-H1在肺癌中发挥转移抑制的机理,用双向凝胶电泳技术比较人高转移大细胞肺癌细胞株(L9981)和转染nm23-H1基因的人大细胞肺癌细胞株(L9981-nm23-H1)间蛋白表达的差异.利用固相pH梯度双向凝胶电泳分离人高转移大细胞肺癌细胞株(L9981)和转染nm23-H1基因的人大细胞肺癌细胞株(L9981-nm23-H1)的总蛋白,用图像分析软件比较分析以识别细胞间的差异表达蛋白质.结果成功地获得了两株细胞蛋白组分辨率高、重复性好的双向凝胶电泳图谱.软件分析两种细胞的凝胶电泳图谱后发现,在相同分析条件下识别的蛋白质斑点数L9981为902±169个、L9981-nm23-H1为1160±212个.比较L9981和L9981-nm23-H1人大细胞肺癌细胞株的双向凝胶电泳蛋白质图谱后发现6个蛋白质点仅在L9981中有表达,17个蛋白质点仅在L9981-nm23-H1中有表达.此外,发现13个在两种细胞株中均存在,但表达量差异在2倍以上的蛋白质点(P<0.05).结果提示,nm23-H1基因转染引起人高转移大细胞肺癌细胞株蛋白质表达谱的变化,可能是其逆转肺癌侵袭转移的生物学基础.     

Proteomic analysis of progressive factors in uterine cervical cancer

Human papillomavirus (HPV) infections play a crucial role in the progress of cervical cancer. The high-risk HPV types are frequently associated with the development of malignant lesions. Some of the latest studies have demonstrated that the high-risk HPV 16 and 18 are predominantly detected in the more aggressive cancers. In the present study, we aimed to establish the proteomic profiles and characterization of the tumor related proteins by using two-dimensional gel electrophoresis (2-DE) and matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS). For proteomic analysis, patients infected by HPV 16 or 18 were included in this study. We compared nuclear protein and cytoplasmic protein, separately by using the subcellular fraction. Differential protein spots between cervical cancer with high-risk HPV, HPV 16 or HPV 18, and HaCaT cell lines were characterized by 2-DE. Those proteins analyzed by peptide mass fingerprinting based on MALDI-TOF MS and database searching were the products of oncogenes or proto-oncogenes, and the others were involved in the regulation of cell cycle, for general genomic stability, telomerase activation, and cell immortalization. However, there was no difference in protein characterization for cervical cancer between HPV 16 and HPV 18 infection. Nonetheless, these data are valuable for the mass identification of differentially expressed proteins involved in human uterine cervical cancer. Moreover, the data has enormous value for establishing the human uterine cervical cancer proteome database that can be used in screening a molecular marker for the further study of human uterine cervical cancer, and also for studying any correlation among the cancers induced by HPV.     

Metabolic signatures of four major histological types of lung cancer cells

Introduction

Histologically lung cancer is classified into four major types: adenocarcinoma (Ad), squamous cell carcinoma (SqCC), large cell carcinoma (LCC), and small cell lung cancer (SCLC). Presently, our understanding of cellular metabolism among them is still not clear.

Objectives

The goal of this study was to assess the cellular metabolic profiles across these four types of lung cancer using an untargeted metabolomics approach.

Methods

Six lung cancer cell lines, viz., Ad (A549 and HCC827), SqCC (NCl-H226 and NCl-H520), LCC (NCl-H460), and SCLC (NCl-H526), were analyzed using liquid chromatography quadrupole time-of-flight mass spectrometry, with normal human small airway epithelial cells (SAEC) as the control group. The principal component analysis (PCA) was performed to identify the metabolic signatures that had characteristic alterations in each histological type. Further, a metabolite set enrichment analysis was performed for pathway analysis.

Results

Compared to the SAEC, 31, 27, 34, 34, 32, and 39 differential metabolites mainly in relation to nucleotides, amino acid, and fatty acid metabolism were identified in A549, HCC827, NCl-H226, NCl-H520, NCl-H460, and NCl-H526 cells, respectively. The metabolic signatures allowed the six cancerous cell lines to be clearly separated in a PCA score plot.

Conclusion

The metabolic signatures are unique to each histological type, and appeared to be related to their cell-of-origin and mutation status. The changes are useful for assessing the metabolic characteristics of lung cancer, and offer potential for the establishment of novel diagnostic tools for different origin and oncogenic mutation of lung cancer.

     

Epithelial proteomics in multiple organs and tissues: similarities and variations between cells, organs, and diseases

Epithelial cells play an important role in physiological and pathophysiological situations, with organ-, tissue-, type-, and function-specific patterns. Proteome analysis has been used to study epithelial-origin diseases and identify novel prognostic, diagnostic, and therapeutic markers. The present review compares the variation of sample preparation for epithelial proteomic analysis, search similarities, and differences of epithelial proteomics between different cells, locations, and diseases. We focus on specificity of proteomic markers for epithelial-involved diseases. Proteomic alterations in epithelial cell lines were mapped to understand protein patterns, differentiation, oncogenesis, and pathogenesis of epithelial-origin diseases. Changes of proteomic patterns depend on different epithelial cell lines, challenges, and preparation. Epithelial protein profiles associated with intracellular locations and protein function. Epithelial proteomics has been greatly developed to link clinical questions, e.g., disease severity, biomarkers for disease diagnosis, and drug targets. There is an exciting and attractive start to link epithelial proteomics with histology of clinical samples. From the present review, we can find that most of disease-associated investigation of epithelial proteomics has been focused on epithelial-origin cancer. There is a significant gap of epithelial proteomics between acute and chronic organ injury, inflammation, and multiple organ dysfunction. Epithelial proteomics will provide powerful information on the relationships between biological molecules and disease mechanisms. Epithelial proteomics strategies and approaches should become more global, multidimensional, and systemic.     

Proteomic comparison of two-dimensional gel electrophoresis profiles from human lung squamous carcinoma and normal bronchial epithelial tissues

Differential proteome profiles of human lung squamous carcinoma tissue compared to paired tumor-adjacent normal bronchial epithelial tissue were established and analyzed by means of immobilized pH gradient-based two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) and matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF-MS). The results showed that well-resolved, reproducible 2-DE patterns of human lung squamous carcinoma and adjacent normal bronchial epithelial tissues were obtained under the condition of 0.75-mg protein-load. The average deviation of spot position was 0.733+/-0.101 mm in IEF direction, and 0.925+/-0.207 mm in SDS-PAGE direction. For tumor tissue, a total of 1241+/-88 spots were detected, 987+/-65 spots were matched with an average matching rate of 79.5%. For control, a total of 1190+/-72 spots were detected, and 875+/-48 spots were matched with an average matching rate of 73.5%. A total of 864+/-34 spots were matched between tumors and controls. Forty-three differential proteins were characterized: some proteins were related to oncogenes, and others involved in the regulation of cell cycle and signal transduction. It is suggested that the differential proteomic approach is valuable for mass identification of differentially expressed proteins involved in lung carcinogenesis. These data will be used to establish human lung cancer proteome database to further study human lung squamous carcinoma.