Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

MiRNA array of 5 plasma with recurrent stage II gastric cancer against 5 plasma non-recurrent stage III gastric cancer in humans

ABSTRACT: 1ml plasma from 10 age- and sex-matched patients (GC stage II with recurrence: sample number 1-5; and stage III without recurrence: sample number 6-10) were arrayed for differential expressed miRNAs so as to look for miRNAs that were associated with GC recurrence. Raw CT values were shown in this dataset.

ORGANISM(S): Homo sapiens

SUBMITTER: Xinyang Liu

PROVIDER: E-MTAB-5854 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:Background: Gene expression profiling of breast carcinomas has increased our understanding of the heterogeneous biology of this disease and promises to impact clinical care. The aim of this study was to evaluate the prognostic value of gene expression-based classification along with established prognostic markers and mutation status of the TP53 gene, in a group of breast cancer patients with long-term (12-16 years) follow-up. Methods: The clinical and histopathological parameters of 200 breast cancer patients were studied for their effects on clinical outcome using univariate/multivariate Cox regression. The prognostic impact of mutations in the TP53 gene, identified using TTGE and sequencing, was also evaluated. Eighty of the samples were analyzed for gene expression using 42K cDNA microarrays and the patients were assigned to five previously defined molecular expression groups. The strength of the gene expression based classification versus standard markers was evaluated by adding this variable to the Cox regression model used to analyze all samples. Results: Both univariate and multivariate analysis showed that TP53 mutation status, tumor size and lymph node status were the strongest predictors of breast cancer survival for the whole group of patients. Analyses of the patients with gene expression data showed that TP53 mutation status, gene expression based classification, tumor size and lymph node status were significant predictors of survival. The TP53 mutation status showed strong association with the ?basal-like? and ?ERBB2+? gene expression subgroups, and tumors with mutation had a characteristic gene expression pattern. Conclusions: TP53 mutation status and gene-expression based groups are important survival markers of breast cancer, and these molecular markers may provide prognostic information that complements clinical variables. The study adds experience and knowledge to an ongoing characterization and classification of the disease. Experiment set consisting of 80 primary breast carcinomas collected at Ulleval University Hospital (ULL-samples), Oslo, Norway from 1990-94, and one normal sample from breast reduction surgery.

Dataset Information

MiRNA array of 5 plasma with recurrent stage II gastric cancer against 5 plasma non-recurrent stage III gastric cancer in humans

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets