Unknown,Transcriptomics,Genomics,Proteomics

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Gene expression profiling of PRAME-positive and PRAME-negative osteosarcoma samples

ABSTRACT: Preferentially Expressed Antigen in Melanoma (PRAME) is frequently overexpressed in a wide variety of cancers and it has been proposed as prognostic marker for clinical outcome. It belongs to a class of non-mutated genes whose expression seems to be mostly restricted to tumor cells. Osteosarcoma is the most common primary malignant bone tumor in children and young adults. Despite advances in the diagnosis and management of osteosarcoma, long-term survival has not envolved substantially in the past decades, justifying efforts in finding effective therapeutic targets. In order to assess transcriptome characteristics that could contribute to further comprehend PRAME association with cancer, the technique of gene expression profiling was used to compare PRAME-positive and PRAME-negative osteosarcoma samples. Keywords: disease state analysis Six tumor samples representing distinct histological classes of osteosarcoma (telangiectatic, giant cell, anaplastic, osteoblastic and chondroblastic) were included in this study. They were obtained from individual patients ranging from 5 to 29 years old. Microarray experiments were carried out using the microarray platform CodeLink (GE Healthcare). This platform utilizes bioarrays consisting of 30-base, single pre-validated oligonucleotide probe per gene target. CodeLink UniSet Human I bioarrays, containing 10,000 human transcripts, were used for all experiments. Hybridization procedures strictly followed protocols provided by the manufacturer (GE Healthcare). A total of 12 arrays were hybridized, including 6 tumor samples (3 PRAME-positive and 3 PRAME-negative) and their respective technical replicates. Arrays were scanned following the recommended scanning procedure and settings for use with CodeLink bioarrays (GE Healthcare) on GenePix 4000B Array Scanner/GenePix Pro 4.0 software (Axon Instruments).

ORGANISM(S): Homo sapiens

SUBMITTER: Patricia Severino

PROVIDER: E-GEOD-8079 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:The inadequate function of the antigen presenting cells, such as dendritic cells (DCs) in cancer is one of the major factors leading to compromised anti-tumor immune response. Cell-to-cell interactions and cell migration are essential features of the immunological response in cancer. Vascular endothelial growth factor (VEGF) has been shown to affect DCs differentiation and maturation processes, thus leading to impaired DCs function. This study aimed to compare the expression of adherence and cytoskeleton-related genes between mature monocyte-derived dendritic cells (mDCs) and mDCs previously exposed to VEGF (mDCVs). VEGF is known to stimulate cell migration and actin rearrangement, but its association with adhesion molecules has not been largely explored in the context of DCs. Our results show that immature human DCs exposed to VEGF up-regulated CD80 and CD86, typical cell surface markers of DC maturation. However, unlike mDCs, mDCVs showed alterations in cell morphology, with broad changes in the characteristic cytoplasmic processes. DNA microarray analysis revealed that mDCVs up-regulated a significant subset of genes related to cell migration, including cell adhesion molecules and related signaling pathways as well as cytoskeleton-related genes. Our results suggest that VEGF, known to be involved in the inhibition of DC maturation, interferes in cell mechanisms leading to cytoskeleton reorganization and the expression of cell adhesion molecules. Cell morphology is associated with DC maturation and migration, both impaired in pathological conditions such as cancer. Keywords: Gene expression profiling Gene expression profiling was carried out in freshly isolated CD14+ cells prior to cultivation (“D0” samples) and in DCs after 6 days (“D6” samples) and 7 days in culture, with or without VEGF treatment (“D7V” and “D7” samples, respectively). Blood samples were collected on the same day and processed concomitantly. Cell culture, RNA extraction, and microarray hybridization were also carried out simultaneously in an attempt to minimize technical inconsistencies. A total of 14 independent microarray hybridizations were carried out with oligonucleotide microarrays, covering approximately 55,000 human transcripts (Whole Genome CodeLink™ Bioarrays, GE Healthcare). Target preparation and hybridization procedures strictly followed protocols provided by the manufacturer.Arrays were scanned following the recommended scanning procedure and settings for use with CodeLink bioarrays (GE Healthcare) on GenePix 4000B Array Scanner/GenePix Pro 4.1 software (Axon Instruments).

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Gene expression profiling of PRAME-positive and PRAME-negative osteosarcoma samples

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