Genome-wide transcription analysis of whole blood prior to rituximab treatment in relation to clinical response
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ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Saskia Vosslamber
PROVIDER: E-GEOD-37107 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:B cell depletion therapy is efficacious in RA patients failing on TNF blocking agents. However, approximately 40-50% of the rituximab-treated RA patients have a poor response. We investigated wheter baseline gene expression levels can discriminate between clinical nonresponders and responders to rituximab
2019-09-10 | GSE37107 | GEO
Project description:Objective: Rituximab displays therapeutic benefits in the treatment of rheumatoid arthritis (RA) patients resistant to TNF blockade. However, the precise role of B cells in the pathogenesis of RA is still unknown. In this study we investigated the global molecular effects of rituximab in synovial biopsies obtained from anti-TNF resistant RA patients before and after administration of the drug. Methods: Paired synovial biopsies were obtained from the affected knee of anti-TNF resistant RA patients before (T0) and 12 weeks after initiation of rituximab therapy (T12). Total RNA was extracted, labeled according to standard Affymetrix procedures and hybridized on GeneChip HGU133 Plus 2.0 slides. Immunohistochemistry and quantitative real-time PCR experiments were performed to confirm the differential expression of selected transcripts. Results: According to paired Student’s t-tests, 549 out of 54,675 investigated probe sets were differentially expressed between T0 and T12. Pathway analysis revealed that genes down-regulated between T0 and T12 were significantly enriched in immunoglobulin genes, and genes involved in chemotaxis, leucocyte activation and immune responses (Gene Ontology annotations). By contrast, genes up-regulated between T0 and T12 were significantly enriched in transcripts involved in cell development (Gene Ontology annotation) and wound healing (GSEA). At baseline, higher synovial expression of immunoglobulin genes was associated with response to therapy. Conclusion: Rituximab displays unique effects on global gene expression profiles in synovial tissue of RA patients. These observations open new perspectives in the understanding of the biological effects of the drug and in the selection of patients likely to benefit from this therapy.
2010-10-19 | GSE24742 | GEO
Project description:Objective: We performed whole-blood transcriptomic profiling for patients with rheumatoid arthritis (RA) who received rituximab (RTX). We aimed to identify a molecular signature that could predict the clinical response to RTX and transcriptomic changes after RTX therapy.
2015-01-01 | GSE54629 | GEO
Project description:Objective: Rituximab displays therapeutic benefits in the treatment of rheumatoid arthritis (RA) patients resistant to TNF blockade. However, the precise role of B cells in the pathogenesis of RA is still unknown. In this study we investigated the global molecular effects of rituximab in synovial biopsies obtained from anti-TNF resistant RA patients before and after administration of the drug. Methods: Paired synovial biopsies were obtained from the affected knee of anti-TNF resistant RA patients before (T0) and 12 weeks after initiation of rituximab therapy (T12). Total RNA was extracted, labeled according to standard Affymetrix procedures and hybridized on GeneChip HGU133 Plus 2.0 slides. Immunohistochemistry and quantitative real-time PCR experiments were performed to confirm the differential expression of selected transcripts. Results: According to paired Studentâs t-tests, 549 out of 54,675 investigated probe sets were differentially expressed between T0 and T12. Pathway analysis revealed that genes down-regulated between T0 and T12 were significantly enriched in immunoglobulin genes, and genes involved in chemotaxis, leucocyte activation and immune responses (Gene Ontology annotations). By contrast, genes up-regulated between T0 and T12 were significantly enriched in transcripts involved in cell development (Gene Ontology annotation) and wound healing (GSEA). At baseline, higher synovial expression of immunoglobulin genes was associated with response to therapy. Conclusion: Rituximab displays unique effects on global gene expression profiles in synovial tissue of RA patients. These observations open new perspectives in the understanding of the biological effects of the drug and in the selection of patients likely to benefit from this therapy. Twenty patients with RA (17 women and 3 men, average age +/- SEM: 52,6+/-3,8 years) were included in the study. All patients met the American College of Rheumatology classification criteria for the diagnosis of RA. All patients had active disease at the time of tissue sampling and were resistant to TNF blockade. They all had erosive changes imaged on conventional x-rays of the hands and/or feet. All of them had a swollen knee at inclusion. Rituximab therapy was administrated at a dose of 1,000 mg IV at baseline (T0) and at week 2, together with 125 mg IV Methylprednisolone. Clinical parameters at baseline (T0) and 12 weeks after the initiation of therapy (T12) was evaluated using DAS(28)-CRP scores and clinical responses were assessed using EULAR response criteria. Synovial biopsies were obtained by needle-arthroscopy of an affected knee from all patients at T0 and T12. For each procedure, 4 to 8 synovial samples were kept overnight at 4°C in a RNA stabilizing solution (RNALater, Ambion, Applied Biosystems, TX, USA) and then stored at â80°C for later RNA extraction. The same amount of tissue was snap-frozen in liquid nitrogen and kept at â80°C for immunostaining experiments on frozen sections. The remaining material was fixed in 10% formaldehyde and paraffin embedded for conventional optical evaluation and immunostaining of selected markers. All the experiments (RNA extraction, histology, immunohistochemistry) were performed on at least 4 biopsies harvested during every procedure in order to correct for variations related to the potential heterogeneous distribution of synovial inflammation. The study was approved by the ethics committee of the Université catholique de Louvain and informed consent was obtained from all patients. At least 1 µg total RNA could be extracted from 12 paired samples at T0 and T12 for further processing.
2010-10-19 | E-GEOD-24742 | biostudies-arrayexpress
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Project description:Objective: We performed whole-blood transcriptomic profiling for patients with rheumatoid arthritis (RA) who received rituximab (RTX). We aimed to identify a molecular signature that could predict the clinical response to RTX and transcriptomic changes after RTX therapy. Methods: We performed a microarray assay of the whole human genome with RNA from a peripheral blood sample taken before the first RTX cycle from 68 patients included in the SMART study (24 EULAR non-responders and 44 responders at week 24). The transcriptomic profile was also assessed 24 weeks after the first RTX administration
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2013-06-13 | E-GEOD-47871 | biostudies-arrayexpress
Project description:Acadesine is a nucleoside analogue with known antileukemic effects in different neoplasms. We investigated the activity of acadesine ne exerts a cytotoxic effect in MCL and synergizes with rituximab supporting clinical examination of this strategy for MCL patients We used microarrays to detail the gene expression changes in acadesine-, rituximab- and combination-treated tumors.
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Project description:Abstract: Analysis of the patterns of gene expression in follicular lymphomas from 24 patients suggested that two groups of tumors might be distinguished. All patients, whose biopsies were obtained before any treatment, were treated with rituximab, a monoclonal antibody directed against the B cell antigen, CD20. Gene expression patterns in the tumors that subsequently failed to respond to rituximab appeared more similar to those of normal lymphoid tissues than to gene expression patterns of tumors from rituximab responders. These findings suggest the possibility that the response of follicular lymphoma to rituximab treatment may be predicted from the gene expression pattern of tumors. This SuperSeries is composed of the SubSeries listed below.
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