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Genome-wide analysis of microRNA expression in Non-small Cell Lung Cancer

ABSTRACT: Analysis of NSCLC development at microRNA expression level. Results shows that has-miR-96 is significant up-regulated in the cancer tissue compared with the adjacent normal tissue. Illumina Human v2 MicroRNA expression beadchip

ORGANISM(S): Homo sapiens

PROVIDER: GSE29248 | GEO | 2012/09/16

SECONDARY ACCESSION(S): PRJNA142947

REPOSITORIES: GEO

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Genome-wide analysis of microRNA expression in Non-small Cell Lung Cancer

Project description:Analysis of NSCLC development at microRNA expression level. Results shows that has-miR-96 is significant up-regulated in the cancer tissue compared with the adjacent normal tissue. Illumina Human v2 MicroRNA expression beadchip Total microRNA obtained from 6 paired NSCLC cancer tissue and the adjacent normal tissue.

2012-09-16 | E-GEOD-29248 | biostudies-arrayexpress

Genome-wide analysis of gene expression in Non-small Cell Lung Cancer

Project description:Analysis of NSCLC development at gene expression level. Results shows that obvious activation of cell cycle pathway, and significant repression of cell-cell communication pathways. Illumina HumanHT-12 V4.0 expression beadchip Total RNA obtained from 6 paired NSCLC cancer tissue and the adjacent normal tissue.

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Genome-wide analysis of gene expression in Non-small Cell Lung Cancer

2012-09-16 | GSE29249 | GEO

The prognostic and predictive value of a three-microRNA-based classifier in NSCLC

Project description:MicroRNA expression profiles were sucessfully contructed in 397 patients with NSCLC and 151 corresponding adjacent noncancerous tissues using a custom microarray containing probes for 1888 miRNAs and an outcome prediction of miRNA signature was successfully identified for predicting prognosis in NSCLC.

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Epigenome analysis of tumor adjacent normal tissue from breast cancer patients

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MicroRNA profiling and prediction of recurrence/relapse-free survival in stage I lung cancer

Project description:Despite surgical treatment of stage I non-small cell lung cancer (NSCLC), one third of patients will eventually have a recurrence. Robust prognostic markers are required to better manage therapy options. MicroRNAs play important roles in human cancers. The purpose of this study is to identify miRNA expression profiles that would better predict prognosis. Small RNAs extracted from formalin-fixed and paraffin-embedded (FFPE) tumor tissues of 357 stage I NSCLC patients were profiled on the human MicroRNA expression profiling V2 panel (Illumina). The expression differences between cancer subtypes were compared by t tests. The association of miRNA expression profile with recurrence free survival (RFS) was assessed using partial Cox regression models. Two miRNA signatures that are highly predictive of RFS were identified. The first contained 32 miRNAs derived from 357 stage I NSCLC patients independent of cancer subtype; while the second containing 27 miRNAs was adenocarcinoma specific. Both of them were validated using FFPE and/or fresh frozen tissues in independent data set with 170 stage I patients. This has important prognostic or therapeutic implications for the management of patients. The identified miRNAs hold great potential as targets for histology-specific treatment or prevention and treatment of recurrent disease. Small RNAs extracted from formalin-fixed and paraffin-embedded (FFPE) tumor tissues of 357 stage I NSCLC patients were profiled on the human MicroRNA expression profiling V2 panel (Illumina).

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Shotgun proteomics of lung tumors and normal tumor-adjacent tissue of non-small cell lung cancer patients

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microRNA expression in vaginal melanoma

Project description:microRNA expression in RNA isolated from formalin fixed, paraffin embedded tissue from vaginal melanoma compared to adjacent healthy vaginal mucosa.

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Project description:The aim of this study was to determine differences in microRNA expression profiles of gastric cancer and adjacent healthy gastric mucosa. Both types of tissue samples were collected during operative procedures of 20 patients. microRNA expression was determined by miRNA microarrays.

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