Differential gene expression profile of newly diagnosed versus relapse acute promyelocytic leukemia
ABSTRACT: The aim of this study was to gain insight into the potential mechanism of resistance to arsenic trioxide and to identify genes that are modulated in the malignant promyelocytes at the time of relapse in APL patients. We analyzed the gene expression profile by the whole genome microarray of primary promyelocytes obtained from 8 newly diagnosed and 8 at relapse patients. Agilent one-color experiment,Organism: Human ,Agilent Whole Genome Human 4x44k (AMADID: 014850) , Labeling kit: Agilent Quick-Amp labeling Kit (p/n5190-0442) newly diagnosed versus relapse acute promyelocytic leukemia
Project description:About 5-10% newly diagnosed and about 20-30% of relapsed acute promyelocytic leukemia (APL) patients will have disease recurrence after receiving currently accepted standards of care. While there are reports of micro-environment mediated drug resistance (EM-DR) in AML, there is no data on the effect of malignant promyelocyte and stromal interaction on Arsenic trioxide (ATO) induced apoptosis. We undertook a preliminary study to evaluate the role of EM-DR to ATO in APL. In direct co-culture (contact dependent system) of malignant promyelocyte with stromal cells, the stromal cells gave a significant protective effect against ATO at different concentrations used (1 to 8 μmol; NB4 (APL cell line) In a gene expression profiling comparing NB4 cells in co-culture with NB4 cells alone, 1846 genes were differentially regulated. On a preliminary analysis, we observed an up-regulation of various pathways such as adhesion (ITGB1, ITGB2, ITGB7, etc.), Cytokines (IL-6, IL-8, IL-18, CCL2, CCL10, etc.) Wnt signalling (Wnt5a, Wnt11, NFATC4, etc,) NF-kB pathway (ICAM1, BIRC2, BIRC3, XIAP1, etc.) in the leukemic cells. The NF-kB pathway has been validated using real time PCR which correlated with the genes being differentially regulated in NB4 cells co-cultured in stroma. Agilent one-color experiment,Organism: Homo sapiens ,Custom Agilent 8x60k Human Whole Genome Microarray Gene expression (AMADID: 039494) , Labeling kit: Agilent Quick-Amp labeling Kit (p/n5190-0442)
Project description:Serum is a valuable body fluid to diagnose cancer as it can be accessed with minimal invasive techniques. Studying the cancer serum proteome provides valuable insights into the pathophysiology of tumor progression. Gastric adenocarcinoma is an aggressive cancer resulting in poor prognosis, mainly due to the lack of specific early diagnostic biomarkers. To this end, we used an iTRAQ-based quantitative proteomic approach to identify differentially expressed proteins in the sera of patients diagnosed with gastric cancer. Our study resulted in the identification of 643 proteins in the serum, of which 48 proteins were found to be overexpressed and 11 proteins underexpressed in gastric cancer when compared with healthy controls. We used multiple reaction monitoring assays to validate the overexpression of potential biomarkers. This catalog of serum-based biomarkers will aid in diagnosis and prognosis of gastric cancer.
Project description:In this study we developed a guinea pig oligonucleotide microarray (GPOM) comprising of a total number of 45,220 features including 43,803 valid features from different mammalian species. These features are inclusive of 2971 newly annotated probes corresponding to 344 unique genes of guinea pig. As a case study, we utilized this array to examine the gene expression profile in guinea pig lungs in response to infection with Mycobacterium tuberculosis. Studying the global gene expression profile in guinea pigs allowed identification of the disease signature of pulmonary TB infection represented by several unique genes that are differentially regulated in this model. While, 1344 unique genes exhibited marked up regulation, 1856 genes were significantly down regulated. The newly developed tool not only finds its utility in studying the global gene expression profile associated with vaccination and/or M. tuberculosis infection in this highly useful animal model but would also be immensely useful in identification of new drug targets, testing of therapies, molecular genetic analysis for diseases other than tuberculosis as well. Genotypic Technology designed Custom Cavia porcellus 4x44k Gene Expression Array (Agilent-AMADID-019424) * In order to validate the GPOM developed in this study, we compared the gene expression profile of guinea pig lungs at 10 weeks post- M. tuberculosis infection with respect to that obtained from normal uninfected animals. To address this, guinea pigs were aerosol infected with M. tuberculosis, lungs were harvested at 10 weeks post-infection and RNA obtained from infected lungs was employed for cDNA synthesis and microarray hybridization. The gene expression was compared with the RNA sample obtained from the lungs of normal uninfected guinea pigs.
Project description:The clinical and cytogenetic features associated with T-cell acute lymphoblastic leukemia (T-ALL) are not predictive of early treatment failure. Based on the hypothesis that microarrays might identify patients who fail therapy, we used the Affymetrix U133 Plus 2.0 chip and prediction analysis of microarrays (PAM) to profile 50 newly diagnosed patients who were treated in the Children's Oncology Group (COG) T-ALL Study 9404. We identified a 116-member genomic classifier that could accurately distinguish all 6 induction failure (IF) cases from 44 patients who achieved remission; network analyses suggest a prominent role for genes mediating cellular quiescence. Seven genes were similarly upregulated in both the genomic classifier for IF patients and T-ALL cell lines having acquired resistance to neoplastic agents, identifying potential target genes for further study in drug resistance. We tested whether our classifier could predict IF within 42 patient samples obtained from COG 8704 and, using PAM to define a smaller classifier for the U133A chip, correctly identified the single IF case and patients with persistently circulating blasts. Genetic profiling may identify T-ALL patients who are likely to fail induction and for whom alternate treatment strategies might be beneficial. Experiment Overall Design: The was a case-controlled, retrospectively designed study. We performed expression profiles on 92 patients with T-ALL treated on Children's Oncology Group studies 8704 (42 patients) and 9404 (50 patients). Experiment Overall Design: Expression profiles were obtained from patients with newly diagnosed T-ALL. NR = no response (induction failure); F= failure (relapse); C= Complete Continous Remission. Experiment Overall Design: Note: Failure (relapse) samples F8,12 and F19 were removed for reasons of failure other than relapse.
Project description:CD5-positive (CD5+) diffuse large B-cell lymphoma (DLBCL) has a poor prognosis and high incidence of central nervous system (CNS) relapse, even in the rituximab era. To determine the gene expression profile of CD5+ DLBCL, total RNA from 90 patients with DLBCL, including 33 CD5+ DLBCL and 57 CD5-negative (CD5-) DLBCL patients, was examined using Agilent human oligo microarrays. These cases were separated into 78 activated B-cell-like (ABC) DLBCLs and 12 germinal center B-cell-like (GCB) DLBCLs. All cases of CD5+ DLBCL were classified as ABC DLBCLs. The classifier based on gene expression used in a supervised analysis correctly identified CD5 expression in the DLBCL and ABC DLBCL samples. The gene most relevant to CD5 expression was SH3BP5. The enriched GO categories in the CD5+ ABC DLBCL signature gene set were multicellular organismal signaling, transmission of nerve impulse, and synaptic transmission. This present study, which includes the largest reported number of patients with CD5+ DLBCL, confirmed that most CD5+ DLBCLs are ABC DLBCLs, suggesting that therapeutic strategies for ABC DLBCL may be effective for the treatment of CD5+ DLBCL. Our CD5+ ABC DLBCL signature gene set may provide insights into the cause of the high frequency of CNS relapse in CD5+ DLBCL. This present study involved 90 cases (33 patients with CD5+ DLBCL and 57 with CD5- DLBCL) of de novo consecutive DLBCL diagnosed at Mie University Hospital with available frozen biopsy specimens and total RNA samples. Lymphoma tissue RNA from 90 patients was extracted for target preparation and hybridization onto Agilent microarrays. The expression of CD5 in tumor cells was confirmed by means of immunohistochemistry using frozen sections.
Project description:In order to identify relevant, molecularly defined subgroups in Multiple Myeloma (MM), gene expression profiling (GEP) was performed on purified CD138+ plasma cells of 320 newly diagnosed myeloma patients included in the Dutch-Belgian/German HOVON-65/ GMMG-HD4 trial using Affymetrix Gene Chip U133 plus 2.0 arrays. Hierarchical clustering identified 10 distinct subgroups. Bone marrow plasma cell samples were obtained from 320 newly diagnosed multiple myeloma patients included in a large multicenter, prospective, randomized phase III trial (HOVON65/GMMG-HD4). Purified myeloma plasma cells samples with a monoclonal plasma cell purity > 80% were used for analysis.
Project description:To identify miRNAs differentially expressed in cholangiocarcinoma,3 human cholangiocarcinoma and their corresponding normal bile duct tissues were obtained from 3 patients after operation with postoperative pathological diagnosed perihilar or distal biliary cholangiocarcinoma miRNAs expression in human cholangiocarcinoma/normal bile duct samples was measured after operation.Three independent experiments were performed using different patients for each experiment.
Project description:Gastric cancer is one of the most common cancers worldwide, with approximately 1 million patients being diagnosed annually. Better elucidating the mechanisms of tumorigenesis and aggressiveness is important for improving the therapeutic efficiencies of gastric cancer. Since our previous studies indicate that intelectin 1 (ITLN1) is aberrantly expressed in gastric cancer and serves as a prognostic factor for predicting the outcomes of gastric cancer patients, we hypothesized that ITLN1 might participate in the progression and aggressiveness of gastric cancer. We employed the human whole genome microarray expression profiling as a discovery platform to analyze the transcriptome profiling changes of human gastric cancer SGC-7901 cells in response to stable over-expression of ITLN1. The results showed that stable over-expression of ITLN1 led to altered expression of 1592 human mRNAs, including 547 up-regulated genes and 1045 down-regulated genes. Then we found the possible roles of these differentially regulated mRNAs in selected pathways including cell cycle/proliferation, apoptosis, and cytokine/chemokine responses by Bioinformatic analysis. Furthermore, we validated the microarray results by real-time RT-PCR with high identity. Overall, our results provided fundamental information about the transcriptomic changes in response to ITLN1 over-expression in human gastric cancer cells, and these findings will help us understand the pathogenesis of gastric cancer. Total RNA of cells stably transfected with empty vector or ITLN1 was extracted using the TRIZOL Reagent according to the manufacturer's instructions. Gene expression profiling was performed for each RNA sample separately on the Agilent Whole Human Genome Oligo Microarray 4×44K at Shanghai Technology Corporation (Shanghai, China), in which GeneChip microarray service was certificated by Agilent.
Project description:Transcriptional profiling of murine cells expressing PML/RARA at the early promyelocyte stage (4 weeks old, preleukemic) and in full blown PML/RARA leukemia generated by transducing PML/RARA bone marrow with a Flt3-ITD retroviral vector Two-conditions experiment: preleukemic early promyelocytes vs leukemic promyelocytes