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Patrice J Morin

Publications and source records attributed to Patrice J Morin.

13 recordsLinked to original sources

Identifying tumor origin using a gene expression-based classification map.

Identifying the primary site in cases of metastatic carcinoma of unknown origin has profound clinical importance in managing cancer patients. Although transcriptional profiling promises molecular solutions to this clinical challenge, simpler and more reliable methods for this purpose are needed. A training set of 11 serial analysis of gene expression (SAGE) libraries was analyzed using a combination of supervised and unsupervised computational methods to select a small group of candidate genes with maximal power to discriminate carcinomas of different tissue origins. Quantitative real-time PCR was used to measure their expression levels in an independent validation set of 62 samples of ovarian, breast, colon, and pancreatic adenocarcinomas and normal ovarian surface epithelial controls. The diagnostic power of this set of genes was evaluated using unsupervised cluster analysis methods. From the training set of 21,321 unique SAGE transcript tags derived from 11 libraries, five genes were identified with expression patterns that distinguished four types of adenocarcinomas. Quantitative real-time PCR expression data obtained from the validation set clustered tumor samples in an unsupervised manner, generating a self-organized map with distinctive tumor site-specific domains. Eighty-one percent (50 of 62) of the carcinomas were correctly allocated in their corresponding diagnostic regions. Metastases clustered tightly with their corresponding primary tumors. A classification map diagnostic of tumor types was generated based on expression patterns of five genes selected from the SAGE database. This expression map analysis may provide a reliable and practical approach to determine tumor type in cases of metastatic carcinoma of clinically unknown origin.

Adenocarcinoma↗

Regulation of fatty acid synthase expression in breast cancer by sterol regulatory element binding protein-1c.

Activation of fatty acid synthase (FAS) expression and fatty acid synthesis is a common event in human breast cancer. Sterol regulatory element binding proteins (SREBPs) are a family of transcription factors that regulate genes involved in lipid metabolism, including FAS. SREBP-1c expression is induced in liver and adipose tissue by insulin and by fasting/refeeding and is critical for nutritional regulation of lipogenic gene expression. In contrast, upregulation of fatty acid metabolism during in vitro transformation of human mammary epithelial cells and in breast cancer cells was driven by increased MAP kinase and PI 3-kinase signaling, which increased SREBP-1 levels. SREBP-1a was more abundant than SREBP-1c in many proliferative tissues and cultured cells and was thus a candidate to regulate lipogenesis for support of membrane synthesis during cell growth. We now show that SREBP-1c and FAS mRNA were both increased by H-ras transformation of MCF-10a breast epithelial cells and were both reduced by exposure of MCF-7 breast cancer cells to the MAP kinase inhibitor, PD98059, or the PI 3-kinase inhibitor, wortmannin, while SREBP-1a and SREBP-2 showed less variation. Similarly, the mRNA levels for FAS and SREBP-1c in a panel of primary human breast cancer samples showed much greater increases than did those for SREBP-1a and SREBP-2 and were significantly correlated with each other, suggesting coordinate regulation of SREBP-1c and FAS in clinical breast cancer. We conclude that regulation of FAS expression in breast cancer is achieved through modulation of SREBP-1c, similar to the regulation in liver and adipose tissue, although the upstream regulation of liopgenesis differs in these tissues.

Breast Neoplasms↗

Drug resistance and the microenvironment: nature and nurture.

Drug resistance remains a major obstacle to the successful use of chemotherapeutic drugs for cancer therapy. It is well documented that cancer cells can adapt to the presence of chemotherapeutic agents through mutations or expression changes of key genes that control drug metabolism or response to damage. In addition, it is becoming increasingly apparent that the tumor microenvironment can have an important impact on the success of chemotherapy. Indeed, cell-cell and cell-matrix interactions can influence the cancer cells sensitivity to apoptosis and affect drug resistance. A model is proposed in which the tumor cells may actively reorganize their environment to maximize their survival in the presence of anticancer agents.

Apoptosis↗

Remodeling of the extracellular matrix through overexpression of collagen VI contributes to cisplatin resistance in ovarian cancer cells.

The mechanisms of drug resistance in cancer are poorly understood. Serial analysis of gene expression (SAGE) profiling of cisplatin-resistant and sensitive cells revealed many differentially expressed genes. Remarkably, many ECM genes were elevated in cisplatin-resistant cells. COL6A3 was one of the most highly upregulated genes, and cultivation of cisplatin-sensitive cells in the presence of collagen VI protein promoted resistance in vitro. Staining of ovarian tumors with collagen VI antibodies confirmed collagen VI expression in vivo and suggested reorganization of the extracellular matrix in the vicinity of the tumor. Furthermore, the presence of collagen VI correlated with tumor grade, an ovarian cancer prognostic factor. These results suggest that tumor cells may directly remodel their microenvironment to increase their survival in the presence of chemotherapeutic drugs.

Antineoplastic Agents↗

Bacteroides fragilis enterotoxin induces c-Myc expression and cellular proliferation.

BACKGROUND & AIMS: Enterotoxigenic Bacteroides fragilis that secrete a zinc-dependent metalloprotease toxin termed the B. fragilis toxin (BFT) have been associated with acute diarrheal disease. BFT rapidly cleaves the extracellular domain of E-cadherin, leading to the complete degradation of the E-cadherin protein. E-cadherin is the primary intercellular adhesion protein of the zonula adherens, and its cytoplasmic domain associates with the nuclear signaling protein beta-catenin. The goal of this study was to examine if BFT triggers beta-catenin nuclear signaling in intestinal epithelial cells. METHODS: Cell biologic and biochemical techniques were combined to address beta-catenin nuclear signaling stimulated by BFT. RESULTS: Loss of membrane-associated E-cadherin after BFT treatment of human colonic epithelial cells (HT29/C1 clone) triggers beta-catenin nuclear localization within 3 hours. Subsequently, c-myc transcription and translation are induced and persistent cellular proliferation ensues, mediated in part by beta-catenin/T-cell factor-dependent transcriptional activation. Cellular proliferation is stimulated by as little as 5 x 10(-10) mol/L BFT. CONCLUSIONS: To our knowledge, BFT is the first bacterial toxin reported to activate T-cell factor-dependent beta-catenin nuclear signaling in intestinal epithelial cells. These results suggest that genetic evolution of this common colonic commensal has rendered an organism with the potential to contribute to oncogenic transformation in the colon.

Bacterial Toxins↗

Tight junction proteins claudin-3 and claudin-4 are frequently overexpressed in ovarian cancer but not in ovarian cystadenomas.

PURPOSE: Claudin proteins represent a large family of integral membrane proteins crucial for tight junction (TJ) formation and function. Claudins have been shown to be up-regulated in various cancers and have been suggested as possible biomarkers and targets for cancer therapy. Because claudin-3 and claudin-4 have been proposed to be expressed in epithelial ovarian cancer, we have performed a detailed analysis of CLDN3 and CLDN4 expression in a panel of ovarian tumors of various subtypes and cell lines. We also investigated whether high expression of claudin-3 and claudin-4 was associated with TJ function in ovarian cancer cells. EXPERIMENTAL DESIGN: RNA was obtained from a panel of 39 microdissected epithelial ovarian tumors of various histological subtypes for real-time reverse transcription-PCR analysis. In addition, a total of 70 cases of ovarian carcinomas, ovarian cysts, and normal ovarian epithelium from a tissue array were analyzed by immunohistochemistry. Finally, a panel of cell lines was used for Western analysis of claudin expression and TJ permeability studies. RESULTS: Although expressed at low levels in some normal human tissues, including the ovary, CLDN3 and CLDN4 are highly up-regulated in epithelial ovarian cancers of all subtypes. Immunohistochemical analyses using our ovarian tissue array confirmed the high level of expression of claudin-3 and claudin-4 in the majority of ovarian carcinomas, including many tumors exhibiting cytoplasmic staining. Ovarian cystadenoma did not frequently overexpress these proteins, suggesting that the expression of these proteins is associated with malignancy. In ovarian cancer cell lines, claudin-3 and claudin-4 expression was not associated with functional TJs as measured by transepithelial electrical resistance. CONCLUSIONS: These results show that CLDN3 and CLDN4 are frequently up-regulated in ovarian tumors and cell lines and may represent novel markers for this disease. Overexpression of these genes in ovarian cancer also suggests interesting scenarios for the involvement of TJ in tumorigenesis. A better knowledge of the mechanisms underlying ovarian tumorigenesis will likely result in the development of novel approaches for the diagnosis and therapy of this deadly disease.

Blotting, Northern↗

Activation of fatty acid synthesis during neoplastic transformation: role of mitogen-activated protein kinase and phosphatidylinositol 3-kinase.

Activation of fatty acid synthase (FAS) expression and fatty acid synthesis is a common event in tumor cells from a variety of human cancers and is closely linked to malignant transformation and to tumor virulence in population studies of human cancer. We now show that, in contrast to nutritional regulation of lipogenesis in liver or adipose tissue, changes in fatty acid metabolism during in vitro transformation of the human mammary epithelial cell line MCF-10a are driven by increases in epidermal growth factor signaling, acting in major part through the mitogen-activated protein (MAP) kinase and phosphatidylinositol (PI) 3-kinase signaling cascades. H-ras transformation of MCF-10a cells resulted in upregulation of MAP kinase and PI 3-kinase signals, upregulation of sterol regulatory element binding protein 1 (SREBP-1) transcription factor levels, and upregulation of FAS expression and FA synthesis. Deletion of the major SREBP binding site from the FAS promoter abrogated transcription in transformed MCF-10a cells. Inhibitors of MAP and PI 3-kinases downregulated SREBP-1 levels and decreased transcription from the FAS promoter, reducing FAS expression and fatty acid synthesis in transformed MCF-10a cells and in MCF-7 and HCT116 carcinoma cells. H-ras transformation sensitized MCF-10a cells to the FAS inhibitors cerulenin and C-75. These results confirm an important role for SREBP-1 in neoplastic lipogenesis, and provide a likely basis for the linkage of upregulated fatty acid metabolism with neoplastic transformation and with tumor virulence, since MAP and PI 3-kinase signaling contributes to both.

Breast↗

An anatomy of normal and malignant gene expression.

A gene's expression pattern provides clues to its role in normal physiology and disease. To provide quantitative expression levels on a genome-wide scale, the Cancer Genome Anatomy Project (CGAP) uses serial analysis of gene expression (SAGE). Over 5 million transcript tags from more than 100 human cell types have been assembled. To enhance the utility of this data, the CGAP SAGE project created SAGE Genie, a web site for the analysis and presentation of SAGE data (http://cgap.nci.nih.gov/SAGE). SAGE Genie provides an automatic link between gene names and SAGE transcript levels, accounting for alternative transcription and many potential errors. These informatics advances provide a rapid and intuitive view of transcript expression in the human body or brain, displayed on the SAGE Anatomic Viewer. We report here an easily accessible view of nearly any gene's expression in a wide variety of malignant and normal tissues.

DNA, Mitochondrial↗

Development of a highly specialized cDNA array for the study and diagnosis of epithelial ovarian cancer.

Ovarian cancer is a major cause of cancer death in women. Unfortunately, the molecular pathways underlying ovarian cancer progression are poorly understood, making the development of novel diagnostic and therapeutic strategies difficult. On the basis of our previous observations obtained from serial analysis of gene expression, we have constructed a specialized cDNA array for the study of ovarian cancer. Small, specialized arrays have several practical advantages and can reveal information that is lost in the "noise" generated by irrelevant genes present in larger arrays. The array, which we named Ovachip, contains 516 cDNAs chosen from our serial analysis of gene expression and cDNA array studies for their relevance to ovarian cancer. The gene expression patterns revealed with the Ovachip are highly reproducible and extremely consistent among the different ovarian specimens tested. This array was extremely sensitive at differentiating ovarian cancer from colon cancer based on expression profiles. The Ovachip revealed clusters of coordinately expressed genes in ovarian cancer. One such cluster, the IGF2 cluster, is particularly striking and includes the insulin-like growth factor II, the cisplatin resistance-associated protein, the checkpoint suppressor 1, the cyclin-dependent kinase 6, and a protein tyrosine phosphatase receptor. We also identified a cluster of down-regulated genes that included the cyclin-dependent kinase 7 and cyclin H. Thus, the Ovachip allowed us to identify previously unidentified clusters of differentially expressed genes that may provide new paradigms for molecular pathways important in ovarian malignancies. Because of the relevance of the arrayed genes, the Ovachip may become a powerful tool for investigators in the field of ovarian cancer and may facilitate progress in understanding the etiology of this disease and in its clinical management.

Carcinoma, Papillary↗

Serial analysis of gene expression in renal carcinoma cells reveals VHL-dependent sensitivity to TNFalpha cytotoxicity.

We have used serial analysis of gene expression (SAGE) to investigate the influence of the von Hippel-Lindau (VHL) gene on global gene expression profiles. SAGE libraries were prepared from renal cell carcinoma (RCC) lines that either lack (parental) or express wild-type VHL (wtVHL). Comparison of these libraries revealed some differentially expressed genes (Glut-1, for example) that were known to be influenced by VHL, but the majority of genes had not previously been reported to be affected by the cell's VHL status. The identification of several genes involved in TNFalpha-mediated events prompted us to compare the sensitivity of cells with different VHL status in TNFalpha cytotoxicity assays. Strikingly, VHL-deficient cells were much more resistant to the toxic influence of TNFalpha. We propose that VHL-dependent sensitization of RCC cells to TNFalpha-mediated killing may contribute to VHL's growth suppressive function.

Blotting, Northern↗