Insights into the Molecular Mechanisms Involved in Sea Urchin Fertilization Envelope Assembly

Sea urchin fertilization envelope assembly provides an ideal model system for investigating the production and modification of an extracellular matrix. The contents of secretory vesicles and the egg glycocalyx mix to initiate assembly. Limited proteolysis and covalent crosslinking by a transglutaminase act as early events to modify the nascent envelope. A subset of secreted proteins binds to this matrix through ionic interactions that require divalent cations. For example, one secreted protein, proteoliaisin, is responsible for attaching ovoperoxidase to the envelope. Ovoperoxidase hardens the envelope by using hydrogen peroxide, produced by the egg during the respiratory burst, to form dityrosine crosslinks between a subset of fertilization envelope proteins. Numerous spatial and temporal regulatory mechanisms exist to ensure that proper assembly occurs in an environment isolated from the normal cytosolic regulatory machinery.     

The cDNA Microarray Profiling of Protein Kinases and Phosphatases: Molecular Portrait of Human Prostate Carcinomas

Hybridization with cDNA arrays was used to obtain expression profiles of 263 protein-tyrosine kinase (PTK), protein-tyrosine phosphatase (PTP), dual-specific phosphatase (DuSP), and other genes for the normal prostate tissue, primary prostate carcinomas (PC) of 84 patients, 7 xenografts, and 5 carcinoma cell lines. Analysis of 96 profiles revealed eight clusters of genes coexpressed in PC (coefficient of correlation r > 0.7). According to the known functions of their genes, the clusters were designated as proliferating-cell (CDC42, TOP2A, FGFR3, MYC, etc.), neoangiogenesis and blood-cell (LCK, VAV1, KDR, VEGF, MMP9, SYK, PTPRS, and FLT4), invasion-1 and invasion-2 (ADAM17, TRPM2, DUSP6, VIM, CAV1, CAV2, JAK1, PTPNS1, FYN, and PDGFB), HER2, and PSA/PSM/HER3. Basing on expression profiles of 66 genes, a molecular classification of PC was generated and allowed discrimination between PC and cell lines or xenografts at 98.9% probability. The results suggested that, along with PSA, PSM (FOLH1), callicreine-2, and -2-macroglobulin, cell signaling genes EGFR, HER2, HER3, TOP2, KRT8, KRT18, VEGF, CD44, VIM, CAV1, and CAV2 may serve as diagnostic and prognostic markers in PC. The HER2, VEGF, and CD44 genes and the MMP and ADAM families were assumed to be promising targets for inhibitors of PC cell proliferation and metastasis.     

Three Meta-Analyses Define a Set of Commonly Overexpressed Genes from Microarray Datasets on Astrocytomas

Glioma is one of the most common tumors of the central nervous system, and one of its main types is astrocytoma. Microarray technology has been widely used to explore the molecular mechanism of cancer. It is universally accepted that meta-analysis considerably improves the statistical robustness of results, particularly in clinical research. To obtain the maximum reliability, we used three different meta-analyses to integrate the four microarray datasets, GSE16011, GSE4290, GSE2223, and GSE19728 (local), and defined the common differentially expressed genes (DEGs) in astrocytomas compared with normal brain tissue. Four DEGs, PCNA, CDC2, CDK2 and CCNB2, which are components of the cell cycle pathway, were chosen for Real-Time Polymerase Chain Reaction (RT-PCR) and immunohistochemistry validation. PCNA is similar to the P53 gene and has been widely implicated in various cancers including gliomas. Therefore, the expression status of PCNA in our study was considered as a reference to test our whole experimental scheme, and the results indicate that our methodology is valid. Although a few studies have reported the overexpression of the CDC2, CDK2 and CCNB2 genes in glioma cell lines, we are the first to identify the statuses of these genes in human astrocytoma tissues at the mRNA and protein levels. The results of the gene validations strongly suggested that the genes play an important role in astrocytomas and could potentially be valuable in the diagnosis and treatment of astrocytoma.     

Identification of Common Prognostic Gene Expression Signatures with Biological Meanings from Microarray Gene Expression Datasets

Numerous prognostic gene expression signatures for breast cancer were generated previously with few overlap and limited insight into the biology of the disease. Here we introduce a novel algorithm named SCoR (Survival analysis using Cox proportional hazard regression and Random resampling) to apply random resampling and clustering methods in identifying gene features correlated with time to event data. This is shown to reduce overfitting noises involved in microarray data analysis and discover functional gene sets linked to patient survival. SCoR independently identified a common poor prognostic signature composed of cell proliferation genes from six out of eight breast cancer datasets. Furthermore, a sequential SCoR analysis on highly proliferative breast cancers repeatedly identified T/B cell markers as favorable prognosis factors. In glioblastoma, SCoR identified a common good prognostic signature of chromosome 10 genes from two gene expression datasets (TCGA and REMBRANDT), recapitulating the fact that loss of one copy of chromosome 10 (which harbors the tumor suppressor PTEN) is linked to poor survival in glioblastoma patients. SCoR also identified prognostic genes on sex chromosomes in lung adenocarcinomas, suggesting patient gender might be used to predict outcome in this disease. These results demonstrate the power of SCoR to identify common and biologically meaningful prognostic gene expression signatures.     

Molecular Portrait of Human Kidney Carcinomas: The cDNA Microarray Profiling of Kinases and Phosphatases Involved in the Cell Signaling Control

Hybridization with cDNA arrays was used to obtain expression profiles of 214 protein-tyrosine kinase, protein-tyrosine phosphatase, dual specificity phosphatase, and other genes for kidney carcinomas (KC) and normal kidney tissues of 34 patients and for seven carcinoma cell lines. Computer analysis revealed three clusters of genes coexpressed in KC. The proliferating-cell gene cluster included MET, VIM, MYC, TOP2A, PCNA. The neoangiogenesis and blood-cell gene cluster included LCK, HCK, FGR, MMP9, CSFR1, VEGF, FLT1, and KDR. The cluster corresponding to normal, differentiated kidney cells included ERBB2 (HER2) for receptor protein-tyrosine kinase, several phosphatase genes (PTPRE, PTPRB, DUSP9), and EGF. The results suggested that MET, DUSP9, PCNA, TOP2A, and VIM may serve as diagnostic and prognostic markers in KC. Tubulin and topoisomerase II were assumed to be promising targets for cell proliferation inhibitors in KC.     

Studies on the Mechanisms Involved in Multistage Carcinogenesis in Mouse Skin

Skin tumors can be effectively induced in mice by the repetitive application of a carcinogen. The relative order of sensitivity to complete carcinogenesis is Sencar > CD-1 > C57BL/6 ≥ BALB/c ≥ ICR/Ha Swiss > C3H. Skin tumors in mice can also be induced by the sequential application of a sub-threshold dose of a carcinogen (initiation phase) followed by repetitive treatment with a weak or noncarcinogenic tumor promoter (promotion phase). The relative order of sensitivity to initiation-promotion is Sencar > > CD-1 > ICR/Ha Swiss ≥ Balb/c > C57BL/6 ≥ C3H ≥ DBA/2. The initiation phase requires only a single application of a carcinogen and is essentially an irreversible step, which probably involves a somatic cell mutation as is evidenced by a good correlation between the carcinogenicity of many chemical carcinogens and their mutagenic activities; the promotion stage, however, is initially reversible, later becoming irreversible. For strains and stocks of mice which respond to initiation-promotion, there is a good correlation between the tumor-initiating activities of polycyclic aromatic hydrocarbons (PAH) and their abilities to bind covalently to DNA. Potent inhibitors and stimulators of PAH tumor initiation appear to effect the level of the PAH diol epoxide bound to specific DNA adducts. However, when the binding of a given PAH to DNA is compared in various stocks and strains of mice, there is no correlation, since in those mice which are able to metabolize PAH, the amounts of carcinogen bound to DNA are similar. The phorbol ester tumor promoters have been shown to have several cellular and biochemical effects on the skin. Of all the observed phorbol ester related effects on the skin, the induction of epidermal cell proliferation, polyamines, prostagladins, and dark basal keratinocytes as well as other embryonic conditions appear to correlate the best with promotion. Mezerein, a weak promoter, was found to induce many cellular and biochemical changes similar to 12-O-tetradecanoylphorbol-13 acetate (TPA), especially epidermal hyperplasia and polyamines; however, it was not a potent inducer of dark cells. We recently found that promotion could be divided into at least two stages. The first stage (I) can be accomplished by limited treatment with TPA or the nonpromoting agents, 4-O-methyl TPA and the calcium ionophore A23187, and the second stage (II) by repetitive applications of mezerein. The dark basal cells appear to be important in the first stage of promotion, since TPA, 4-0-methyl TPA, and A23187 are potent inducers of dark cells. Fluocinolone acetonide (FA) was found to be a potent inhibitor of stage I and II. Retinoic acid (RA) was ineffective in Stage I but was a potent inhibitor of Stage II promotion, whereas tosyl phenylalanine chloromethylketone (TPCK) specifically inhibited Stage I. In addition, FA and TPCK effectively counteracted the appearance of dark basal keratinocytes but had very little effect on polyamines, whereas RA had no effect on dark cells but is a potent inhibitor of TPA-induced ornithine decarboxylase activity and subsequent putrescine formation. These results provide additional evidence for the importance of dark basal keratinocytes (primitive stem cells) in Stage I of promotion and indicate that most of the other cellular and biochemical responses normally associated with promotion (such as polyamines) are actually associated with Stage II of promotion. Although C57BL/6 mice are relatively resistant to initiation-promotion by PAH initiation and phorbol ester promotion, they are fairly sensitive to complete carcinogenesis by PAH. This suggests that the C57BL/6 mice are resistant to phorbol ester tumor promotion. Preliminary experiments suggest that C57BL/6 and Sencar mice respond qualitatively but not quantitatively to a single treatment with TPA.     

胃肠癌发生和预防中表观遗传修饰与信号通路的相关研究

仁济消化学科胃肠肿瘤研究团队是教育部"创新团队",长期从事消化系肿瘤发生机制和防治研究.在胃癌发生和预防中的表观遗传学与信号通路相关研究中作了一定工作.初步明确了我国胃癌癌前疾病慢性萎缩性胃炎的转归情况;建立并验证了预测慢性萎缩性胃炎发生与转归的数学模型.分析了我国症状人群中大肠癌癌前疾病大肠腺瘤患病情况及变迁状况,腺瘤内镜下摘除后再发情况.进一步明确了胃肠癌发生中包括DNA甲基化、组蛋白修饰和非编码RNA(miRNA和天然反义转录本)的作用;阐明了与细胞增殖相关的JAK/STAT信号通路的作用意义;并初步证实了上述表观遗传修饰和信号通路的相互关系.证明了大肠腺瘤患者血浆叶酸和粪便短链脂肪酸及产短链脂肪酸的肠道菌群情况,为有效得干预预防奠定基础.多中心随机对照研究证明,叶酸可有效预防超过50岁人群的大肠腺瘤的发生,且作用与干预前后叶酸含量上升情况有关.并以第一完成单位和第一完成人获2005年上海市科技进步一等奖("表观遗传修饰及其在胃癌发生和预防中的应用")、2007年中华医学科技一等奖和2008年国家科技进步二等奖("叶酸和丁酸盐在胃肠癌发生和预防中的作用")及2014年教育部高等学校科学研究优秀成果(科技进步)一等奖.     

Loss of Survivin in the Prostate Epithelium Impedes Carcinogenesis in a Mouse Model of Prostate Adenocarcinoma

The inhibitor of apoptosis protein survivin is expressed in most cancers. Using the conditional PTEN deletion mouse model, we previously reported that survivin levels increase with prostate tumor growth. Here we evaluated the functional role of survivin in prostate tumor growth. First, we demonstrated that mice lacking the survivin gene in prostate epithelium were fertile and had normal prostate growth and development. We then serially, from about 10–56 weeks of age, evaluated histopathologic changes in the prostate of mice with PTEN deletion combined with survivin mono- or bi-allelic gene deletion. While within this time period most of the animals with wild-type or monoallelic survivin deletion developed adenocarcinomas, the most severe lesions in the biallelic survivin deleted mice were high-grade prostatic intra-epithelial neoplasia with distinct histopathology. Many atypical cells contained large hypertrophic cytoplasm and desmoplastic reaction in the prostatic intra-epithelial neoplasia lesions of this group was minimal until the late ages. A reduced proliferation index as well as apoptotic and senescent cells were detected in the lesions of mice with compound PTEN/survivin deficiency throughout the time points examined. Survivin deletion was also associated with reduced tumor expression of another inhibitor of apoptosis member, the X-linked inhibitor of apoptosis. Our findings suggest that survivin participates in the progression of prostatic intraepithelial neoplasia to adenocarcinoma, and that survivin interference at the prostatic intraepithelial neoplasia stages may be a potential therapeutic strategy to halt or delay further progression.     

一个与化学因素致鼻咽癌相关的硝基还原酶基因的克隆与鉴定(英文)

在运用cDNAmicroarray分析鼻咽癌细胞系CNE1与正常鼻咽上皮细胞差异表达基因的基础上 ,发现ESTW 95 442在细胞系CNE1中存在明显表达下调 .随后采用生物信息学的方法克隆出了该EST所代表的硝基还原酶基因NOR1(GenBank登录号为AF4 6 2 348) .Northern印迹分析表明 ,该基因在脑、心脏、肺等正常组织中均有 2个转录产物 (1.6kb ,1.2kb) .RT PCR分析显示 ,NOR1基因在鼻咽癌活检组织中也存在表达下调 .但酶活性测定实验表明 ,它在鼻咽癌细胞系CNE1中的活性比正常鼻咽上皮细胞高 .通过基因转染实验发现NOR1基因具有与细菌硝基还原酶NTR相似的功能 ,能够将单功能烷基化试剂 2 硝基苯氮丙啶类化合物CB195 4的第 4位硝基还原成亚硝基从而生成细胞毒性物质 .研究结果表明 ,NOR1基因可能通过它的亚硝化作用及高活性而参与化学性因素致鼻咽癌的过程     

Boolean Network Model for Cancer Pathways: Predicting Carcinogenesis and Targeted Therapy Outcomes

A Boolean dynamical system integrating the main signaling pathways involved in cancer is constructed based on the currently known protein-protein interaction network. This system exhibits stationary protein activation patterns – attractors – dependent on the cell''s microenvironment. These dynamical attractors were determined through simulations and their stabilities against mutations were tested. In a higher hierarchical level, it was possible to group the network attractors into distinct cell phenotypes and determine driver mutations that promote phenotypic transitions. We find that driver nodes are not necessarily central in the network topology, but at least they are direct regulators of central components towards which converge or through which crosstalk distinct cancer signaling pathways. The predicted drivers are in agreement with those pointed out by diverse census of cancer genes recently performed for several human cancers. Furthermore, our results demonstrate that cell phenotypes can evolve towards full malignancy through distinct sequences of accumulated mutations. In particular, the network model supports routes of carcinogenesis known for some tumor types. Finally, the Boolean network model is employed to evaluate the outcome of molecularly targeted cancer therapies. The major find is that monotherapies were additive in their effects and that the association of targeted drugs is necessary for cancer eradication.