Ontology highlight
ABSTRACT:
PROVIDER: PRJEB39500 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We recently defined a gene expression-based signature of high-risk multiple myeloma; this predictive signature was developed with and independently validated for newly diagnosed patients treated with high dose therapy and stem cell rescue. Here we use Phase 3 clinical trial data to show that this signature also predicts short survival in relapsed disease treated with single agent bortezomib or high dose dexamethasone. In addition, a survival signature derived with relapsed myeloma samples identified newly diagnosed patients with short survival. Taken together these data suggest that a similar biology underlies poor outcome in both newly diagnosed and relapsed myeloma and provide strong evidence that the high-risk signature is a powerful tool to identify patients who are candidates for new therapeutic regimens. Keywords: Model validation See above (Series_summary)
2011-08-19 | E-GEOD-8991 | biostudies-arrayexpress
Project description:In vivo changes of gene expression profiles (GEP) of tumor cells 48hr after single agent therapy may vary by treatment and provide added predictive power over baseline GEP information. In newly diagnosed patients with multiple myeloma (MM), GEP data were obtained on tumor cells prior to and 48hr after dexamethasone (n=45) or thalidomide treatment (n=42); in case of relapsed MM, GEP data were obtained prior to (n=36) and after (n=19) lenalidomide administration. Dexamethasone and thalidomide induced both common and unique GEP changes. Combined baseline and 48hr changes of GEP in a subset of genes that were discovered in newly diagnosed MM also predicted event-free and overall survival in relapsed patients receiving lenalidomide. Combined with baseline molecular features, changes in GEP following short-term single agent treatment may help guide treatment decisions for patients with MM. The genes whose altered expression is related to eventual survival may also point to mechanisms of action and resistance to different classes of drugs. Experiment Overall Design: See above (Series_summary)
2008-10-18 | E-GEOD-8546 | biostudies-arrayexpress
Project description:We recently defined a gene expression-based signature of high-risk multiple myeloma; this predictive signature was developed with and independently validated for newly diagnosed patients treated with high dose therapy and stem cell rescue. Here we use Phase 3 clinical trial data to show that this signature also predicts short survival in relapsed disease treated with single agent bortezomib or high dose dexamethasone. In addition, a survival signature derived with relapsed myeloma samples identified newly diagnosed patients with short survival. Taken together these data suggest that a similar biology underlies poor outcome in both newly diagnosed and relapsed myeloma and provide strong evidence that the high-risk signature is a powerful tool to identify patients who are candidates for new therapeutic regimens. Keywords: Model validation
2011-08-20 | GSE8991 | GEO
Project description:Inflammatory breast cancer (IBC) is a rare and understudied disease, with 40% of cases presenting with HER2-positive IBC. Within a cohort of newly diagnosed patients with HER2-positive IBC, we sought to (i) assess the pathologic complete response (pCR) rate of short-term neoadjuvant dual-HER2-blockade and paclitaxel, (ii) define baseline and on-treatment transcriptional profiles of tumor biopsies that are associated with pCR, and (iii) identify biologic pathways that may explain the effect of neoadjuvant therapy on pathologic tumor response.
2022-09-01 | GSE207248 | GEO
Project description:In vivo changes of gene expression profiles (GEP) of tumor cells 48hr after single agent therapy may vary by treatment and provide added predictive power over baseline GEP information. In newly diagnosed patients with multiple myeloma (MM), GEP data were obtained on tumor cells prior to and 48hr after dexamethasone (n=45) or thalidomide treatment (n=42); in case of relapsed MM, GEP data were obtained prior to (n=36) and after (n=19) lenalidomide administration. Dexamethasone and thalidomide induced both common and unique GEP changes. Combined baseline and 48hr changes of GEP in a subset of genes that were discovered in newly diagnosed MM also predicted event-free and overall survival in relapsed patients receiving lenalidomide. Combined with baseline molecular features, changes in GEP following short-term single agent treatment may help guide treatment decisions for patients with MM. The genes whose altered expression is related to eventual survival may also point to mechanisms of action and resistance to different classes of drugs. Keywords: drug response
2008-08-04 | GSE8546 | GEO
Project description:Newly diagnosed chronic phase chronic myeloid leukemia (CML) patients with a major cytogenetic response (MCyR) after 12 months of imatinib therapy have an excellent long-term outcome, while patients without MCyR have a high progression risk. Since patients with primary cytogenetic resistance may benefit from more intensive therapy up-front, we sought to identify biomarkers to predict MCyR. Keywords: Two group comparison to identify trasncriptomic signature that predicts response to therapy
2010-01-01 | GSE14671 | GEO
Project description:The purpose of this study is to investigate the effects of short term oral Metformin therapy on biomarkers for tumor growth in subjects with newly diagnosed colon or rectal adenocarcinoma.
It is hypothesized that there are independent actions of Metformin on the outcome of subjects with colorectal cancer (CRC). Also hypothesized is that metformin effects on CRC cell growth will correlate with this drug’s effects on markers mentioned above, because the markers are closely related to tumor growth and metastases.
| 2127916 | ecrin-mdr-crc
Project description:Objective: We hypothesized that type 1 diabetes (T1D) is accompanied by changes in gene expression in peripheral blood mononuclear cells (PBMCs) due to dysregulation of adaptive and innate immunity, counterregulatory responses to immune dysregulation, insulin deficiency and hyperglycemia. Research Design and Methods: Microarray analysis was performed on PBMCs from 43 patients with newly diagnosed T1D, 12 patients with newly diagnosed type 2 diabetes (T2D) and 24 healthy controls. One and four month follow-up samples were obtained from 20 of the T1D patients. Results: Microarray analysis identified 282 genes differing in expression between newlydiagnosed T1D patients and controls at a false discovery rate of 0.05. Changes in expression of interleukin-1β (IL1B), early growth response gene 3 (EGR3), and prostaglandin-endoperoxide; synthase 2 (PTGS2) resolved within four months of insulin therapy and were also observed in T2D suggesting that they resulted from hyperglycemia. With use of a knowledge base, 81/282 genes could be placed within a network of interrelated genes with predicted functions including apoptosis and cell proliferation. IL1B and the MYC oncogene were the most highly-connected genes in the network. IL1B was highly overexpressed in both T1D and T2D, whereas MYC was dysregulated only in T1D. Conclusion: T1D and T2D likely share a final common pathway for beta cell dysfunction that includes secretion of interleukin-1β and prostaglandins by immune effector cells, exacerbating existing beta cell dysfunction, and causing further hyperglycemia. The results identify several targets for disease-modifying therapy of diabetes and potential biomarkers for monitoring treatment efficacy. Experiment Overall Design: We obtained blood samples from 24 healthy volunteers, 43 newly diagnosed T1D patients and 12 newly diagnosed T2D patients. All study participants were between the ages of 2 and 18 years. We collected samples one and four months after diagnosis from the last 20 of the T1D patients. For each time point one sample did not pass quality control and was dropped from the analysis. Patients with T2D were distinguished from T1D on the basis of age, body habitus, Experiment Overall Design: presence (11/12 patients) of acanthosis nigricans, family history of type 2 diabetes (11/12 patients), and absence of autoantibodies to insulin, IA-2, and GAD65. We allowed low titers of insulin antibodies in T2D patients (< 4 U/mL), which have been previously reported. All but two Experiment Overall Design: of the T1D patients with positive anti-insulin antibodies were also positive for at least one additional autoantibody.
2008-06-16 | E-GEOD-9006 | biostudies-arrayexpress
Project description:Newly diagnosed chronic phase chronic myeloid leukemia (CML) patients with a major cytogenetic response (MCyR) after 12 months of imatinib therapy have an excellent long-term outcome, while patients without MCyR have a high progression risk. Since patients with primary cytogenetic resistance may benefit from more intensive therapy up-front, we sought to identify biomarkers to predict MCyR. Keywords: Two group comparison to identify trasncriptomic signature that predicts response to therapy CD34+ cells were isolated from cryopreserved mononuclear cells of chronic phase CML patients with a complete cytogenetic response (CCyR) or >65% Ph-positive metaphases after 12 months of imatinib therapy (training set N=36). Gene expression profiles generated on amplified RNA using Affymetrix HG-U133 Plus 2.0 arrays were compared between responders and non-responders, using the criteria ANOVA p<0.1 and fold difference >I1.5I. A minimal response classifier derived from the comparison was used to predict response in a prospectively collected validation set using same criteria for responders/nonresponders (N=23).
2009-12-31 | E-GEOD-14671 | biostudies-arrayexpress
Project description:performing high-throughput RNA sequencing (RNA-Seq) transcriptomic analysis of hepatic cells after metformin or CWE treatment to identify changes in diabetes-related gene expression. Outcomes of this project provide evidence for the effectiveness of Ceylon cinnamon water extract compared to the current standard therapy for type 2 diabetes, metformin.
2022-02-14 | E-MTAB-11418 | biostudies-arrayexpress