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 29,987 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Recent improvements in immunohistochemistry panels used for differentiating ovarian serous carcinoma/primary peritoneal carcinoma (OC/PPC) from diffuse malignant peritoneal mesothelioma (DMPM) have resulted in improved diagnostic rates for these tumors in both cytological and histological material. However, little is known about the biological characteristics that differentiate these two cancer types. We performed a comparative analysis of cancer-associated molecule expression data for a cohort consisting of up to 270 serous OC/PPC specimens (only peritoneal lesions) and 32 peritoneal MM. The molecules studied were nerve growth factor receptors (p75, p-TrkA), angiogenic factors (VEGF, IL-8, bFGF, heparanase), laminin receptors (the 67-kDa receptor and the alpha 6 integrin subunit), proteases (MMP-2), immune response mediators (HLA-G), and signaling molecules (the MAPK members ERK, JNK, and p38). The methods used were immunohistochemistry, Western blotting, and RT-PCR. DMPM specimens showed significantly higher expression of p75 (P < 0.001), p-TrkA (P < 0.001), and bFGF (P < 0.001), and significantly lower expression of the 67-kDa receptor (P < 0.001), alpha 6 integrin subunit (P = 0.025), VEGF (P < 0.001), IL-8 (P < 0.001), and HLA-G (P = 0.039) compared with OC/PPC. DMPM specimens showed higher activation ratio (phosphorylated/total enzyme ratio) of all three MAPK members (ERK, P = 0.017; JNK, P < 0.001; p38, P = 0.009) compared with OC/PPC. These data document significant differences in the expression of cancer- and metastasis-associated molecules in MM compared with ovarian carcinoma, and suggest that different biological pathways are involved in tumorigenesis and disease progression in these two tumors.
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PMID:The biological differences between ovarian serous carcinoma and diffuse peritoneal malignant mesothelioma. 1704 94

To establish a cell line with a permanent suppression of hLRH-1 in this study, a stable RNAi vector (pSineohLRH-1) targeting hLRH-1 was constructed and introduced into hepatocellular carcinoma cell, BEL-7402. By semiquantitative RT-PCR analysis, the expression of hLRH-1 in BEL-7402 cells carrying pSineohLRH-1 was shown to be significantly suppressed by up to approximately 60%. In addition, microarray analysis was carried out to assess the extent of altered gene expression in BEL-7402 cells with stable knockdown of hLRH-1. Direct comparison of gene-expression profiles of more than 18,000 genes showed that 405 of the expressed genes in hLRH-1-knockdown cells differed dramatically in expression levels from those in controls, which suggested the even extensive biological functions of hLRH-1. Interestingly, among those differentially expressed genes, some are cancer-associated such as Gadd45beta and PTEN, and their expressions were further validated. Although the identification of the exact relationship between these genes and hLRH-1 awaits intensive investigation, the findings of this study provide new insights into the mechanism by which hLRH-1 is involved in tumorigenesis.
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PMID:Microarray analysis of gene-expression profile in hepatocellular carcinoma cell, BEL-7402, with stable suppression of hLRH-1 via a DNA vector-based RNA interference. 1704 88

Epithelial-stromal interactions play a critical role in tumor initiation and progression; cancer-associated stroma, but not normal stroma, is known to be tumor-promoting. However, the molecular signal used by epithelial cancer cells to reprogram normal stroma to a tumorigenic stroma is not known. Here, we present evidence to suggest that the chemokine growth-regulated oncogene 1 (Gro-1) may be one such signaling molecule. We showed that the expression of Gro-1 is activated by RAS and is vital for cell survival and the malignant transformation of ovarian epithelial cells. Surprisingly, we found that Gro-1 is a potent inducer of senescence in stromal fibroblasts and that this effect depends on functional p53. Senescent fibroblasts induced by Gro-1 can promote tumor growth whereas abrogation of senescence through immortalization results in loss of such tumor promoting activity. We also demonstrated that stromal fibroblasts adjacent to epithelial cancer cells are senescent in human ovarian cancer specimens and in heterografts from RAS-transformed human ovarian epithelial cells and ovarian cancer cells. Moreover, Gro-1 was expressed at significantly higher amounts in ovarian cancer than in normal tissues and was higher in serum samples from women with ovarian cancer than in serum from women without ovarian cancer. These findings provide strong evidence that RAS-induced Gro-1 can reprogram the stromal microenvironment through the induction of senescence of fibroblasts and thus can promote tumorigenesis. Therefore, Gro-1 may be a therapeutic target as well as a diagnostic marker in ovarian cancer.
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PMID:The chemokine growth-regulated oncogene 1 (Gro-1) links RAS signaling to the senescence of stromal fibroblasts and ovarian tumorigenesis. 1706 Jun 21

Chronic liver disease associated with long term hepatitis B virus (HBV) infection contributes importantly to the development of hepatocellular carcinoma (HCC). A salient feature of these chronic infections is the integration of subgenomic HBV DNA fragments into many different locations within the host DNA, suggesting that integration is random. Although this may promote genetic instability during liver regeneration which accompanies a bout of chronic liver disease, the actual role of integrated HBV DNA in hepatocarcinogenesis is uncertain. Importantly, most integration events retain the HBV open reading frame encoding the HBx antigen (HBxAg), which is the virus contribution to HCC. In addition, many integration events reported in the literature occur near or within fragile sites or other cancer associated regions of the human genome that are prone to instability in tumor development and progression. Genetic instability associated with integration potentially alters the expression of oncogenes, tumor suppressor genes, and microRNAs (miRNAs) that may contribute importantly to tumorigenesis. If so, then selected integration events may alter pathways that are rate limiting in hepatocarcinogenesis, thereby providing targets with diagnostic/prognostic potential and for therapeutic intervention.
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PMID:Hepatitis B virus integration, fragile sites, and hepatocarcinogenesis. 1718 25

Missense variants are commonly identified in genomic sequence but only a small fraction directly contribute to oncogenesis. The ability to distinguish those missense changes that contribute to cancer progression from those that do not is a difficult problem usually only accomplished through functional in vivo analyses. Using two computational algorithms, Sorting Intolerant from Tolerant (SIFT) and the Pfam-based LogR.E-value method, we have identified features that distinguish cancer-associated missense mutations from other classes of missense change. Our data reveal that cancer mutants behave similarly to Mendelian disease mutations, but are clearly distinct from either complex disease mutations or common single-nucleotide polymorphisms. We show that both activating and inactivating oncogenic mutations are predicted to be deleterious, although activating changes are likely to increase protein activity. Using the Gene Ontology and data from the SIFT and LogR.E-value metrics, a classifier was built that predicts cancer-associated missense mutations with a very low false-positive rate. The classifier does remarkably well in a number of different experiments designed to distinguish polymorphisms from true cancer-associated mutations. We also show that recurrently observed mutations are much more likely to be predicted to be cancer-associated than rare mutations, suggesting that our classifier will be useful in distinguishing causal from passenger mutations. In addition, from an expressed sequence tag-based screen, we identified a previously unknown germ line change (P1104A) in tumor tissues that is predicted to disrupt the function of the TYK2 protein. The data presented here show that this novel bioinformatics approach to classifying cancer-associated variants is robust and can be used for large-scale analyses.
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PMID:Distinguishing cancer-associated missense mutations from common polymorphisms. 1723 53

Molecular links between apoptosis, tumorigenesis and drug resistance provide starting points for new therapeutic approaches and for a targeted cancer therapy. The discovery of the p53-related genes p63 and p73 raised the possibility that they may be cancer-associated genes and as a consequence that p53 is not the only component in predicting prognosis and response to chemotherapy, but instead the status of a network that contains p53, p73 and p63. This review focuses on the status and interrelationship of the p53 family members in human cancer as critical elements for tumor progression and response to therapy. Literature up to December 2006 is reviewed. p63 and p73--as well as p53--each use multiple promoters and alternative splicing to generate an array of isoforms, including full-length isoforms with a transactivation (TA-) domain homologous to that of full-length p53, and amino-terminally truncated (DeltaN-) isoforms. Whereas the full-length TA isoforms of p63 and p73 can activate downstream target genes and induce apoptosis, the DeltaN isoforms which lack the transactivation domain can act as dominant inhibitors of the full-length forms of p53, p63 and p73, inhibiting transactivation of target genes and induction of apoptosis. Deregulated dominant negative p63 and p73 isoforms play an oncogenic role in human cancer and contribute to chemoresistance. Thus, therapeutic modulation of TAp63/DeltaNp63, TAp73/DeltaNp73 and mutant p53 levels might be used to target the large percentage of human tumors that harbor p53 mutations and/or overexpress DeltaNp63 or DeltaNp73. Interfering with the expression or function of DeltaNp63 and/or DeltaNp73 and/or mutant p53 in tumor cells may render such tumors more responsive to therapy and reduce their aggressiveness and metastatic capacity.
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PMID:One, two, three--p53, p63, p73 and chemosensitivity. 1728 42

Genomic alterations lead to cancer complexity and form a major hurdle for comprehensive understanding of the molecular mechanisms underlying oncogenesis. In this review, we describe recent advances in studying cancer-associated genes from a systems biology point of view. The integration of known cancer genes onto protein and signaling networks reveals the characteristics of cancer genes within networks. This approach shows that cancer genes often function as network hub proteins which are involved in many cellular processes and form focal nodes in information exchange between many signaling pathways. Literature mining allows constructing gene-gene networks, in which new cancer genes can be identified. The gene expression profiles of cancer cells are used for reconstructing gene regulatory networks. By doing so, genes which are involved in the regulation of cancer progression can be picked up from these networks, after which their functions can be further confirmed in the laboratory.
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PMID:Cancer systems biology: exploring cancer-associated genes on cellular networks. 1741 19

Osteopontin (OPN) plays an important role in tumorigenesis, tumor invasion, and metastasis in many types of cancers, including gastric cancer. Recently, much interest has been focused on the role of OPN in tumor angiogenesis. Our previous studies have shown that OPN is overexpressed, and associated with mean microvessel density in, the tissue samples of patients with gastric cancer. In the present study, we aimed to further determine and provide evidence for the role of OPN in gastric-cancer-associated angiogenesis by diminishing OPN expression in gastric cancer cells using the small interference RNA method, and then evaluate the effects of OPN on gastric cancer-associated angiogenesis by in vivo and in vitro assays. Our results revealed that reduced OPN production by gastric cancer cells would reduce the proliferation, migration, and tube formation of human umbilical vein endothelial cells, and lead to a lower microvessel density, i.e., angiogenesis, in transplanted tumors of mice. These data confirm the positive role of OPN in gastric-cancer-associated angiogenesis.
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PMID:Inhibition of osteopontin would suppress angiogenesis in gastric cancer. 1746 50

Insertional oncogenesis is a possible consequence of the integration of gamma-retroviral (RV) or lentiviral (LV) vectors into the human genome. RV common insertion sites (CISs) have been identified in hematopoietic malignancies and in the nonmalignant progeny of transduced hematopoietic stem/progenitor cells (HSCs), possibly as a consequence of clonal selection in vivo. We have mapped a large number of RV and LV integrations in human CD34(+) HSCs, transduced in vitro and analyzed without selection. Recurrent insertion sites (hot spots) account for more than 21% of the RV integration events, while they are significantly less frequent in the case of LV vectors. RV but not LV hot spots are highly enriched in proto-oncogenes, cancer-associated CISs, and growth-controlling genes, indicating that at least part of the biases observed in the HSC progeny in vivo are characteristics of RV integration, already present in nontransplanted cells. Genes involved in hematopoietic and immune system development are targeted at high frequency and enriched in hot spots, suggesting that the CD34(+) gene expression program is instrumental in directing RV integration. The lower propensity of LV vectors for integrating in potentially dangerous regions of the human genome may be a factor determining a better safety profile for gene therapy applications.
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PMID:Hot spots of retroviral integration in human CD34+ hematopoietic cells. 1750 62

Various cancer genome projects are underway to identify novel mutations that drive tumorigenesis. While these screens will generate large data sets, the majority of identified missense changes are likely to be innocuous passenger mutations or polymorphisms. As a result, it has become increasingly important to develop computational methods for distinguishing functionally relevant mutations from other variations. We previously developed an algorithm, and now present the web application, CanPredict (http://www.canpredict.org/ or http://www.cgl.ucsf.edu/Research/genentech/canpredict/), to allow users to determine if particular changes are likely to be cancer-associated. The impact of each change is measured using two known methods: Sorting Intolerant From Tolerant (SIFT) and the Pfam-based LogR.E-value metric. A third method, the Gene Ontology Similarity Score (GOSS), provides an indication of how closely the gene in which the variant resides resembles other known cancer-causing genes. Scores from these three algorithms are analyzed by a random forest classifier which then predicts whether a change is likely to be cancer-associated. CanPredict fills an important need in cancer biology and will enable a large audience of biologists to determine which mutations are the most relevant for further study.
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PMID:CanPredict: a computational tool for predicting cancer-associated missense mutations. 1753 27


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