Homo sapiens
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ABSTRACT:
OTHER RELATED OMICS DATASETS IN: E-GEOD-16797
PROVIDER: PRJNA117505 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Clinical score and transcript abundance patterns identify Kawasaki disease patients who may benefit from addition of methylprednisolone. Intravenous immunoglobulin (IVIG) treatment-resistant patients are high risk of developing coronary artery lesions (CALs) with Kawasaki disease (KD). The IVIG-responsive (Group A; n = 6) and -resistant patients (Group B) were predicted before starting the initial treatment using the Egami scoring system, and randomly allocated a single-IVIG treatment group (Group B1; n = 6) or a IVIG-plus-methylprednisolone (IVMP) combined therapy group (Group B2; n = 5). We investigated transcript abundance in the leukocytes of those patients using microarray analysis. Results: five patients in Group A and 1 patient in Group B1 responded to initial IVIG treatment. All Group B2 patients responded to IVIP-plus-IVMP combined therapy. Prior to performing these treatments, those transcripts related to IVIG-resistance and to the development of CALs, such as IL1R, IL18R, oncostatin M, suppressor of cytokine signaling-3, S100A12 protein, carcinoembryonic antigen-related cell adhesion molecule-1, matrix metallopeptidase-9 and polycythemia rubra vera-1 were more abundant in Group B patients in comparison to Group A patients. Moreover, those transcripts in Group B2 patients were more profoundly and broadly suppressed than Group B1 patients after treatment. Conclusion: this study elucidated the molecular mechanism of the effectiveness of IVIG-plus-IVMP combined therapy. 34 samples of pre- and post-treatment in three groups consisting of predicted as IVIG-responsive patients, given single-IVIG treatment patients and IVIG-plus-IVMP combined therapy group in predicted as IVIG-resistant patients.
2010-07-08 | E-GEOD-16797 | biostudies-arrayexpress
Project description:Clinical score and transcript abundance patterns identify Kawasaki disease patients who may benefit from addition of methylprednisolone. Intravenous immunoglobulin (IVIG) treatment-resistant patients are high risk of developing coronary artery lesions (CALs) with Kawasaki disease (KD). The IVIG-responsive (Group A; n = 6) and -resistant patients (Group B) were predicted before starting the initial treatment using the Egami scoring system, and randomly allocated a single-IVIG treatment group (Group B1; n = 6) or a IVIG-plus-methylprednisolone (IVMP) combined therapy group (Group B2; n = 5). We investigated transcript abundance in the leukocytes of those patients using microarray analysis. Results: five patients in Group A and 1 patient in Group B1 responded to initial IVIG treatment. All Group B2 patients responded to IVIP-plus-IVMP combined therapy. Prior to performing these treatments, those transcripts related to IVIG-resistance and to the development of CALs, such as IL1R, IL18R, oncostatin M, suppressor of cytokine signaling-3, S100A12 protein, carcinoembryonic antigen-related cell adhesion molecule-1, matrix metallopeptidase-9 and polycythemia rubra vera-1 were more abundant in Group B patients in comparison to Group A patients. Moreover, those transcripts in Group B2 patients were more profoundly and broadly suppressed than Group B1 patients after treatment. Conclusion: this study elucidated the molecular mechanism of the effectiveness of IVIG-plus-IVMP combined therapy.
2010-06-17 | GSE16797 | GEO
Project description:Transcript abundance patterns in Kawasaki disease patients IVIG-resistance
| PRJNA121431 | ENA
Project description:To further development of our miRNA diagnostic approach to Kawasaki disease(KD), we have employed microRNA microarray expression profiling as a discovery platform to identify microRNAs as the potential biomarkers to rapidly diagnose Kawasaki disease. Pooled exosome of serum in equal amount from 5 healthy children, 5 KD patients and 5 KD patients after Intravenous immunoglobulin (IVIG) therapy were used for microRNA microarray analysis. MicroRNA profile of exosome from Kawasaki disease(KD) was analyzed by microRNA microarray analysis in 5 healthy children, 5 KD patients and 5 KD patients after IVIG therapy.
2014-09-03 | E-GEOD-60965 | biostudies-arrayexpress
Project description:To further development of our miRNA diagnostic approach to Kawasaki disease(KD), we have employed microRNA microarray expression profiling as a discovery platform to identify microRNAs as the potential biomarkers to rapidly diagnose Kawasaki disease. Pooled exosome of serum in equal amount from 5 healthy children, 5 KD patients and 5 KD patients after Intravenous immunoglobulin (IVIG) therapy were used for microRNA microarray analysis.
2014-09-03 | GSE60965 | GEO
Project description:Transcriptional profile in Kawasaki patients at acute and convalescent phase with different clinical outcomes were investigated.
2014-12-06 | GSE63881 | GEO
Project description:PURPOSE: Validated biomarkers predictive of response/resistance to anthracyclines in breast cancer are currently lacking. The neoadjuvant TOP trial, in which patients with estrogen receptor (ER)-negative tumors were treated with anthracycline (epirubicin) monotherapy, was specifically designed to evaluate the predictive value of topoisomerase IIα (TOP2A) and to develop a gene expression signature to identify those patients who do not benefit from anthracyclines. METHODS: The TOP trial included 149 patients, of which 141 were evaluable for response prediction analyses. The primary endpoint was pathological complete response (pCR). TOP2A and gene expression profiles were evaluated using pre-epirubicin biopsies. Gene expression data from ER-negative samples of the EORTC 10994/BIG 00-01 and MDACC 2003-0321 neoadjuvant trials were used for validation purposes. RESULTS: A pCR was obtained in 14% of the evaluable TOP patients. TOP2A amplification, but not protein overexpression, was significantly associated with pCR (p=0.001 and 0.22). We developed an “anthracycline-based score (A-Score)” that combines three signatures: a TOP2A gene signature and two previously published signatures related to tumor invasion and immune response. The A-Score was characterized by a high negative predictive value (NPV=0.98 [95% CI: 0.90-1.00]) overall, and in the HER2-negative and HER2-positive subpopulations. Its performance was independently confirmed in the anthracycline-based (FAC/FEC) arms of the two validation trials (BIG 00-01: 0.80 [0.61-0.92] and MDACC 2003-0321: 1.00 [0.80-1.00]). CONCLUSION: Given its high NPV, the A-Score could become, if further validated, a useful clinical tool to identify those patients who do not benefit from anthracyclines and could therefore be spared the non-negligible side effects. Predicting the efficacy of anthracyclines (epirubicin) in breast cancer (BC) patients (TOP trial) 120 microarray experiments from primary ER-negative breast tumors of anthracycline-treated patients. No replicate, no reference sample.
2010-01-26 | E-GEOD-16446 | biostudies-arrayexpress
Project description:Multisystem inflammatory syndrome in children (MIS-C) occurs in some children approximately 2-6 weeks following infection with SARS-CoV-2. Clinical symptoms are highly overlapping with Kawasaki disease (KD) and bacterial (DB) and viral (DV) infections, making diagnosis particularly challenging. Host whole blood transcriptomics can reveal specific combinations of host genes whose expression patterns can distinguish between disease groups of interest. We performed whole blood RNA-Sequencing of individuals with MIS-C, KD, bacterial and viral infections to identify a number of host genes that, when combined, could be used to diagnose MIS-C. This data contains processed data only. Raw data will be available via a controlled access archive.
2023-06-27 | E-MTAB-12793 | biostudies-arrayexpress
Project description:Gene expression profiling (compared to healthy controls) to identify patients with active SLE disease and patients with quiescent disease 157 “SLE” and 20 “Healthy controls of SLE were followed up for up to 3 years. Clinical assessment, current treatment, laboratory results and SLEDAI score were collected at each visit (V1, V2...). SLE patients are compared to control groups.
2014-04-01 | E-GEOD-49454 | biostudies-arrayexpress
Project description:Purpose: Utility of immunological treatment in cancer has increased; however, many patients do not respond to treatment. Identification of robust predictive biomarkers is required to correctly stratify patients. Although clinical trials based on adoptive T cell therapy (ACT) have yielded high response rates and many durable responses in melanoma, 50-60% of the patients have no clinical benefit. Herein, we searched for predictive biomarkers to ACT in melanoma. Methods: Whole exome- and transcriptome sequencing, neoantigen prediction and immune cell signature analysis were applied to pre-treatment melanoma samples from 27 patients recruited to a clinical phase I/II trial of ACT in stage IV melanoma. All patients had previously been treated with other immunotherapies. Results: We found that clinical benefit was associated with significantly higher neoantigen load (P=0.025). High mutation and neoantigen load were significantly associated with improved progression-free and overall survival (P=8x10^-4 and P=0.001, respectively). Further, gene-expression analysis of pre-treatment biopsies showed that clinical benefit was associated with strong immune activation signatures including a high MHC-I antigen processing and presentation score. Conclusions: These results improve our understanding of clinical benefit of ACT in melanoma, which can lead to clinically useful predictive biomarkers to be used for selecting patients that benefit from these highly intensive treatment regimens.
2017-12-04 | GSE100797 | GEO