MiRNA array in colorectal carcinoma
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Sun Y
PROVIDER: E-GEOD-33961 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:To search for potential miRNAs associated with prognosis in colorectal carcinoma, miRNA expression profiles were analyzed in patients with stage III colorectal carcinoma. miRNA expression levels were compared between long and short time survival after surgery with standard chemotherapy.
2011-11-29 | GSE33961 | GEO
Project description:In the present study we evaluated the miRNA expression profile of 31 high risk, stage 4 neuroblastoma patients. We compared miRNA expression profiles of 14 long-survivors (alive with an overall survival time > 36 months) and 17 short-survivors (dead of disease within 36 months from diagnosis. Deaths due to toxicity were censored).
2010-05-16 | E-GEOD-16444 | biostudies-arrayexpress
Project description:Background Neuroendcrine carcinoma (NEC) of lung consists of small-cell lung carcinoma (SCLC) and large cell neuroendocrine carcinoma (LCNEC). Although long-term outcomes of SCLC patients are usually poor, a few patients achieve long-term survivals. Prognostic factors in SCLC have not been fully elucidated. microRNAs (miRNAs) are known to negatively regulate gene expression and to be relevant to tumorigenesis, tumor classification and prognosis. Methods 63 samples (46 neuroendocrine carcinoma including 35 SCLC and 11 LCNEC, 4 adenocarcinoma, 5 squamous cell carcinoma and 8 normal lung) were obtained through surgical resection. miRNA expression in each sample was comprehensively investigated using miRNA microarray. Results Unsupervised hierarchial clustering classified the all NEC into two subgroups, group 1 and 2. Group 1 was felt into an independent branch that consisted of only NEC, whereas group 2 was included in a branch that contained both NEC and non-NEC. Compared with SCLC of group 1 (SCLC 1), SCLC of group 2 (SCLC 2) was a distinct subgroup with surprisingly good prognosis (0% v 79% survived for 5 years; p=0.007). Serum proGRP level was significantly lower in SCLC 2 than in SCLC 1 despite of similar tumor stages between the two groups. Among 12 cases treated by presurgical chemotherapy, PR:NC ratio was 6:3 in SCLC 1 and 2:1 in SCLC 2, suggesting no apparent difference of chemosensitivity. Histologically, distinction between both groups was difficult. Cox regression analysis demonstrated that three miRNA signature was correlated with survival of SCLC patients. These prognostic miRNAs were differentially expressed between SCLC 1 and 2, which were validated by quantitative real time RT-PCR. Bioinformatics analysis predicted that these miRNAs targeted not only genes involving with tumorigenesis but also genes associated with neuroendocrine function. Conclusion miRNA expression profiling identified a distinct subgroup of SCLC with favorable prognosis. This subgroup might have less neuroendocrine character than usual SCLC. All samples were tissue samples obtained by surgical resection. 35 samples of small-cell lung cancer were investigated. 11 samples of larege cell neuroendocrine cancer, 4 samples of adenocarcinoma, 5 samples of squamous cell carcinoma and 8 samples of normal lung were also included as reference.
2013-01-31 | E-GEOD-19945 | biostudies-arrayexpress
Project description:Approximately two decades ago, Vogelstein and Fearon proposed the adenoma-carcinoma sequence of sporadic CRC development and illustrated the accumulation of genetic alterations during the stepwise progression, thereby providing a guideline for clinical practice. Although the detection and excision of precancerous lesions could prevent colorectal cancer and reduce mortality, 6% of adenomas will ultimately develop into colorectal cancer. Thus, this genetic model for colorectal tumorigenesis may not completely reflect the complex essence of the disease and whether the mode of initiation of the events in the multistep progression affects the outcome of CRC is still unknown. In this study, mRNA and miRNA expression profiling was performed with human colorectal tissues, including normal mucosa, adenoma and adenocarcinoma. Then, an integrated approach was adopted to establish the regulatory interaction networks that were correlated with colorectal carcinogenesis. Finally, a 55-gene signature whose expression was down-regulated in precancerous lesions compared to normal tissue was identified as a potential early indicator of CRC survival. The results suggested that genes related to immunity and homeostasis played a critical role in protection against adenoma initiation and that the altered molecular events that influence colorectal cancer prognosis may be set in an early, precancerous stage. Four types of human colorectal tissues were selected by colonoscopic resection or colorectal surgery, including 15 normal mucosae, 39 low-grade adenomas (mild or moderate atypical hyperplasia), 20 high-grade adenomas (severe atypical hyperplasia or carcinoma in situ) and 33 adenocarcinomas. MicroRNA expression profiling analysis of these samples was performed on Agilent 8Ã16K Human miRNA Microarray V3 (G4470C).
2015-10-16 | E-GEOD-41655 | biostudies-arrayexpress
Project description:In this study, we examined the effects of VOCs exposure in humans on gene expression using microarray analysis. We recruited participants who had short-term exposure, long-term exposure, or no exposure. We then analyzed changes in gene expression in blood samples from these participants. A total of 866 genes were upregulated, while 366 genes were downregulated in the short-term exposure group. Similarly, in the long-term exposure group, a total of 852 and 480 genes were up- or downregulated, respectively. Hierarchical clustering analysis was used to divide the clustered genes into nine clusters to investigate the expression of variations in accordance with the exposure period. Further research is required to determine the time-dependent effects of VOCs on epigenetic regulation of gene expression. Gene expression of mRNA in human blood samples (IRB #AS 14039) divided into three groups: control (unexposed workers; n = 12), short-term exposure (workers exposed to VOCs for less than 10 years; n = 12), and long-term exposure (workers exposed to VOCs for more than 10 years; n = 12) was experimented by microarray analysis after exposure to VOCs
2015-05-15 | E-GEOD-68906 | biostudies-arrayexpress
Project description:To evaluate whether serum microRNAs can predict survival in nasopharyngeal carcinoma (NPC) patients, we analyzed the serum microRNA expression profiles in 8 NPC patients with shorter-survival time and 8 age- and gender-matched NPC patients with longer-survival time using microarray. We identified a four-microRNA signature can predict survival of NPC patients. 8 serum samples from nasopharyngeal carcinoma patients with shorter-survival time and 8 serum samples from nasopharyngeal carinoma patients with longer-survival time
2012-12-31 | E-GEOD-43160 | biostudies-arrayexpress
Project description:Using a rat orthotopic liver transplantation (OLT) model and microarray, we compared the expression profiles of microRNAs in naïve and AR livers at day 7 after OLT obtained from the rats with short-term (<14 days, DA-LEW) or long-term (>60 days, DA-PVG) survival fate. AR-related microRNAs and pro-inflammatory cytokines were validated by using a quantitative real-time PCR. AR-related microRNA-mediated inflammatory responses were evaluated by overexpression of a target microRNA in rat primary hepatocytes. Human liver biopsies from recipients with AR or abnormal liver function were used for clinical verification. The microarray revealed that miR-301a was significantly upregulated in lethal AR livers of DA-LEW, while it was comparable to the naïve livers in DA-PVG, which spontaneously overcomes AR. OLT was carried out following the technique previously described by Kamada et al. in the following combinations: DA donor liver into PVG (DA-PVG; natural tolerance model with long-term (>60 days) and DA donor liver into LEW (DA-LEW; AR model with short-term (<14 days).
2014-12-20 | E-GEOD-64362 | biostudies-arrayexpress
Project description:Background and aims: Liver transplantation (LT) is the most radical treatment for hepatocellular carcinoma (HCC) with high rates of long-term survival, but tumor recurrence after LT is an unresolved problem. The aim of our study was to identify predictive markers for tumor recurrence after liver transplantation. Methods: In a retrospective single-center study, we included all patients with LT for HCC in our institution (01/2007-12/2012). Beside demographic data, we analyzed course, bridging therapies, Serum-AFP, time point of tumor recurrence, as well as the correlation of imaging and histopathology of our recipients. Additionally, we performed a microarray analysis to identify different miRNA profiles of patients with and without HCC recurrence after LT. Single assay stem-loop real-time PCR (Q-RT-PCR) was used for validation of the results. Results: During the study period, we performed 92 LT in patients with HCC (22 women, 70 men). Twenty-two (23.9%) patients developed a recurrent HCC after LT. Our subgroup with tumor recurrence after LT, presented with a mean disease-free survival of 10 months (3-55 months) and an overall survival of 25.5 months (4-77 months). Milan criteria, AFP levels and pathologic grading had an influence on the tumor recurrence. Performing miRNA analysis, we could identify significant upregulation of 8 miRNAs and downregulation of another 5 miRNAs in patients with tumor recurrence. Consecutively, array data were successfully validated using Q-RT-PCR. Multivariate Cox regression, ROC analysis and Kaplan-Meier showed that a score consisting of two miRNAs and Milan criteria are an independent predictor for tumor recurrence-free survival. Conclusions: Despite careful selection of patients, an early recurrence of HCC after LT cannot be avoided completely. Reliable prognostic markers related to tumor biology are still missing. Analysis and validation of specific miRNAs combined with radiological parameters might lead to a promising strategy for the prediction of tumor recurrence, but prospective studies have to follow. 8 macrodissected hepatocellular carcinoma (recurrent HCC) and 10 macrodissected hepatocellular carcinoma (non-recurrent HCC).
2016-03-01 | E-GEOD-64989 | biostudies-arrayexpress
Project description:The genome-wide miRNA expression analysis was performed in clinical samples, comprising 15 BRAF-mutant and 15 non-KRAS/BRAF-mutant colorectal cancers by using a SurePrint G3 Human miRNA microarray. clinical samples, comprising 15 BRAF-mutant and 15 non-KRAS/BRAF-mutant colorectal cancers by using a SurePrint G3 Human miRNA microarray.
2016-04-01 | E-GEOD-66548 | biostudies-arrayexpress
Project description:Esophageal cancer is a highly malignant and prevalent cancer worldwide. Current TNM staging system is insufficient for prognosis of esophagus squamous cell carcinoma (ESCC) patients. The aim of this study is to evaluate miRNA expression profile of ESCC and identify a miRNA signature which robustly predict the survival of ESCC patients. MiRNA expression profiles of paired frozen tissues from 119 ESCC patients were assessed by microarray. After normalization of microarray data, the patients were randomly divided into a training set (n=60) and a test set (n=59). From the training set, we identified a four-miRNA prognostic signature (including hsa-miR-218-5p, hsa-miR-142-3p, hsa-miR-150-5p, and hsa-miR-205-5p) using random forest supervised classification algorithm and nearest shrunken centroid algorithm. This signature distinguished the patients into high-risk or low-risk groups whose overall survival differed significantly (5-year survival 7.4% vs. 66.7%, p<0.001). Prognostic value of this signature was validated in the test set (5-year survival 18.8% vs. 46.5%, p=0.025) and further in an independent cohort of 58 patients assessed by a different platform (5-year survival 11.4% vs. 56.7%, p=0.003). Furthermore, multivariable Cox regression analysis revealed that this signature is an independent prognostic factor for ESCC patients. Moreover, stratified analysis showed that this signature was able to predict survival within TNM stages. The expression level of the four miRNAs measured by microarray was verified by qRT-PCR and showed high level of positive correlation (Pearson correlation coefficient>0.75, p<0.001 for all). Our results suggest that the four-miRNA signature can serve as a reliable biomarker to predict the survival of ESCC patients. the miRNA expression profiles of cancer and adjacent normal tissues form 119 ESCC patients were used to identify a miRNA signature that can perdict the survival of ESCC patients.
2014-08-01 | E-GEOD-43732 | biostudies-arrayexpress