Christian Beaudry

Bio: Christian Beaudry is an academic researcher from Translational Genomics Research Institute. The author has contributed to research in topics: Glioma & Laser capture microdissection. The author has an hindex of 16, co-authored 22 publications receiving 3365 citations. Previous affiliations of Christian Beaudry include St. Joseph's Hospital and Medical Center & Barrow Neurological Institute.

Molecular classification of cutaneous malignant melanoma by gene expression profiling

Abstract: The most common human cancers are malignant neoplasms of the skin. Incidence of cutaneous melanoma is rising especially steeply, with minimal progress in non-surgical treatment of advanced disease. Despite significant effort to identify independent predictors of melanoma outcome, no accepted histopathological, molecular or immunohistochemical marker defines subsets of this neoplasm. Accordingly, though melanoma is thought to present with different 'taxonomic' forms, these are considered part of a continuous spectrum rather than discrete entities. Here we report the discovery of a subset of melanomas identified by mathematical analysis of gene expression in a series of samples. Remarkably, many genes underlying the classification of this subset are differentially regulated in invasive melanomas that form primitive tubular networks in vitro, a feature of some highly aggressive metastatic melanomas. Global transcript analysis can identify unrecognized subtypes of cutaneous melanoma and predict experimentally verifiable phenotypic characteristics that may be of importance to disease progression.

Glioma cell motility is associated with reduced transcription of proapoptotic and proliferation genes: a cDNA microarray analysis.

Abstract: Microarray analysis of complementary DNA (cDNA) allows large-scale, comparative, gene expression profiling of two different cell populations. This approach has the potential for elucidating the primary transcription events and genetic cascades responsible for increased glioma cell motility in vitro and invasion in vivo. These genetic determinants could become therapeutic targets. We compared cDNA populations of a glioma cell line (G112) exposed or not to a motility-inducing substrate of cell-derived extracellular matrix (ECM) proteins using two sets of cDNA microarrays of 5,700 and 7,000 gene sequences. The data were analyzed considering the level and consistency of differential expression (outliers) and whether genes involved in pathways of motility, apoptosis, and proliferation were differentially expressed when the motility behavior was engaged. Validation of differential expression of selected genes was performed on additional cell lines and human glioblastoma tissue using quantitative RT-PCR. Some genes involved in cell motility, like tenascin C, neuropilin 2, GAP43, PARG1 (an inhibitor of Rho), PLCy, and CD44, were over expressed; other genes, like adducin 3y and integrins, were down regulated in migrating cells. Many key cell cycle components, like cyclin A and B, and proliferation markers, like PCNA, were strongly down regulated on ECM. Interestingly, genes involved in apoptotic cascades, like Bcl-2 and effector caspases, were differentially expressed, suggesting the global down regulation of proapoptotic components in cells exposed to cell-derived ECM. Overall, our findings indicate a reduced proliferative and apoptotic activity of migrating cells. cDNA microarray analysis has the potential for uncovering genes linking the phenotypic aspects of motility, proliferation, and apoptosis.

Inhibition of Rho-Kinase Affects Astrocytoma Morphology, Motility, and Invasion through Activation of Rac1

Abstract: Malignant astrocytomas are highly invasive neoplasms infiltrating diffusely into regions of normal brain. Whereas the molecular and cellular mechanisms governing astrocytoma invasion remain poorly understood, evidence in other cell systems has implicated a role for the Rho-GTPases in cell motility and invasion. Here, we examine how the inhibition or activation of Rho-kinase (ROCK) affects astrocytoma morphology, motility, and invasion. ROCK was inhibited in astrocytoma cells by using 5 to 100 mumol/L of Y27632 or by expressing the dominant-negative ROCK mutant, RB/PH TT. ROCK activation was achieved by expressing a constitutively active mutant, CAT. ROCK inhibition led to morphologic and cytoskeletal alterations characterized by an increase in the number and length of cell processes, increased membrane ruffling, and collapse of actin stress fibers. Using two-dimensional radial migration and Boyden chamber assays, we show that astrocytoma migration and invasion were increased at least 2-fold by ROCK inhibition. On the contrary, ROCK activation significantly inhibited migration and invasion of astrocytoma cells. Furthermore, using a Rac-GTP pull-down assay, we show that Rac1 is activated as a consequence of ROCK inhibition. Finally, we show that treatment of astrocytoma cells with small interfering RNA duplexes specific for Rac1-reversed stellation, prevented membrane ruffling formation and abrogated the increased motility observed following treatment with Y27632. Our data show that Rac1 plays a major role in astrocytoma morphology, motility, and invasion. These findings warrant further investigation to determine precisely how the modulation of Rac1 and ROCK can be exploited to inhibit glioma invasion.

Migrating glioma cells activate the PI3-K pathway and display decreased susceptibility to apoptosis.

Abstract: Glioma cells that migrate out of the main tumor mass into normal brain tissue contribute to the failure of most gliomas to respond to treatment. Treatments that target migratory glioma cells may enhance the therapeutic response. Multiple lines of evidence suggest that suppression of apoptosis accompanies activation of the migratory phenotype. Here, we determine whether migration and apoptosis are consistently linked in glioma cells and whether manipulation of migration influences cytotoxic therapy-induced apoptosis. Camptothecin and Trail-induced apoptosis were decreased 2-5-fold in actively migrating glioma cells relative to migration-restricted cells. Consistent with a mechanistic link between migration and apoptosis, the dose-response for stimulation of migration on laminin was inversely proportional to apoptosis induction. Treatment of glioma cells with migration inhibitors alone had little effect on basal rates of apoptosis and had little effect on Trail-induced or camptothecin-induced apoptosis in migration-restricted cells. By contrast, migration inhibitors increased camptothecin and Trail-induced apoptosis in actively migrating glioma cells. Migrating glioma cells have increased amounts of phosphorylated Akt and its downstream substrate glycogen synthase kinase-3 relative to migration restricted cells. Treatment of migrating cells with a specific inhibitor of phosphoinositide 3-kinase (PI3-K), LY294002, blocked the phosphorylation of Akt and increased the sensitivity to apoptosis. LY294002 had no effect on the migration of restricted cells. This suggests that migrating glioma cells activate the PI3-K survival pathway, protecting migrating cells from apoptosis. Taken together, these data provide support for a link between migration and apoptosis in glioma cells. In addition, evidence indicates that treatment with migration inhibitors, while not affecting apoptosis-induction in migration-restricted cells, can sensitize migrating glioma cells to cytotoxic agents.

The Human Fn14 Receptor Gene Is Up-Regulated in Migrating Glioma Cells in Vitro and Overexpressed in Advanced Glial Tumors

Abstract: Glioblastoma multiforme comprises the majority of human brain tumors. Patients with glioblastoma multiforme have poor survival rates, with an average life expectancy of <1 year. To assess possible mechanisms and to potentially target invasive glioma cells, we previously measured the gene expression profiles of glioma cells under migration-activated or passive states. One of the genes identified was Fn14, which encodes a cell surface receptor for the tumor necrosis factor superfamily member named TWEAK. In this study, we show that Fn14 gene expression is induced in migration-activated glioma cells in vitro and significantly increases according to tumor grade in vivo (P < 0.01), with highest levels in glioblastoma tissue specimens. The in situ expression pattern of Fn14 mRNA and protein was confined to primary glioma cells and the vascular endothelium, with no detection in adjacent normal brain. Conversely, TWEAK mRNA levels are low in glioblastoma samples relative to normal brain tissue. In addition, activation of the Fn14 receptor by addition of recombinant TWEAK resulted in increased glioma cell migration in vitro. These results suggest a positive role for TWEAK and Fn14 in glioma progression and indicate that Fn14 gene expression may serve as a marker for invasive glioma cells.

Stem cells, cancer, and cancer stem cells

Abstract: Stem cell biology has come of age. Unequivocal proof that stem cells exist in the haematopoietic system has given way to the prospective isolation of several tissue-specific stem and progenitor cells, the initial delineation of their properties and expressed genetic programmes, and the beginnings of their utility in regenerative medicine. Perhaps the most important and useful property of stem cells is that of self-renewal. Through this property, striking parallels can be found between stem cells and cancer cells: tumours may often originate from the transformation of normal stem cells, similar signalling pathways may regulate self-renewal in stem cells and cancer cells, and cancer cells may include 'cancer stem cells' - rare cells with indefinite potential for self-renewal that drive tumorigenesis.

Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks

Abstract: The purpose of this study was to develop a method of classifying cancers to specific diagnostic categories based on their gene expression signatures using artificial neural networks (ANNs). We trained the ANNs using the small, round blue-cell tumors (SRBCTs) as a model. These cancers belong to four distinct diagnostic categories and often present diagnostic dilemmas in clinical practice. The ANNs correctly classified all samples and identified the genes most relevant to the classification. Expression of several of these genes has been reported in SRBCTs, but most have not been associated with these cancers. To test the ability of the trained ANN models to recognize SRBCTs, we analyzed additional blinded samples that were not previously used for the training procedure, and correctly classified them in all cases. This study demonstrates the potential applications of these methods for tumor diagnosis and the identification of candidate targets for therapy.

Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses

Abstract: We have generated a molecular taxonomy of lung carcinoma, the leading cause of cancer death in the United States and worldwide. Using oligonucleotide microarrays, we analyzed mRNA expression levels corresponding to 12,600 transcript sequences in 186 lung tumor samples, including 139 adenocarcinomas resected from the lung. Hierarchical and probabilistic clustering of expression data defined distinct subclasses of lung adenocarcinoma. Among these were tumors with high relative expression of neuroendocrine genes and of type II pneumocyte genes, respectively. Retrospective analysis revealed a less favorable outcome for the adenocarcinomas with neuroendocrine gene expression. The diagnostic potential of expression profiling is emphasized by its ability to discriminate primary lung adenocarcinomas from metastases of extra-pulmonary origin. These results suggest that integration of expression profile data with clinical parameters could aid in diagnosis of lung cancer patients.

Malignant astrocytic glioma: genetics, biology, and paths to treatment.

Abstract: Malignant astrocytic gliomas such as glioblastoma are the most common and lethal intracranial tumors. These cancers exhibit a relentless malignant progression characterized by widespread invasion throughout the brain, resistance to traditional and newer targeted therapeutic approaches, destruction of normal brain tissue, and certain death. The recent confluence of advances in stem cell biology, cell signaling, genome and computational science and genetic model systems have revolutionized our understanding of the mechanisms underlying the genetics, biology and clinical behavior of glioblastoma. This progress is fueling new opportunities for understanding the fundamental basis for development of this devastating disease and also novel therapies that, for the first time, portend meaningful clinical responses.

Signal integration by JNK and p38 MAPK pathways in cancer development

Abstract: Jun N-terminal kinase (JNK) and p38 mitogen-activated protein kinase (MAPK) family members function in a cell context-specific and cell type-specific manner to integrate signals that affect proliferation, differentiation, survival and migration. Consistent with the importance of these events in tumorigenesis, JNK and p38 MAPK signalling is associated with cancers in humans and mice. Studies in mouse models have been essential to better understand how these MAPKs control cancer development, and these models are expected to provide new strategies for the design of improved therapeutic approaches. In this Review we highlight the recent progress made in defining the functions of the JNK and p38 MAPK pathways in different cancers.