Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA174353 | ENA |
REPOSITORIES: ENA
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Project description:Tumor-adjacent noncancerous tissues often exhibited abnormalities on molecular levels, which is described as field effect of cancerization. Accumulated evidence demonstrated that filed effect may also play important role in cancer progression. In the present study, we found that the gene expression profile in noncancerous lung tissues adjacent to lung squamous cell carcinoma (SCC) was significantly associated with regional lymph node status of patients. Significance Analysis of Microarrays (SAM) showed that 121 genes were significantly associated with lymph node metastasis (delta=0.75, FDR=0.069). Interestingly, all of the significant genes were up-regulated in the lymph node positive samples. For these genes, the most significant biological GO terms were extracellular structure organization, cell adhesion, regulation of cell motion/migration, and vessel development, etc, which were also involved in EMT process supported by another experiment in vitro. Tumor-adjacent histologically normal lung tissues were collected from 60 primary lung SCC patients, of whom 34 (56.7%) suffered regional lymph node metastasis. Gene expression profiling analysis of these samples was performed using Agilent 4x44K human whole genome gene expression microarray (G4112F).
2014-10-06 | E-GEOD-40588 | biostudies-arrayexpress
Project description:We investigated whether the miRNA expression could distinguish lung cancers from normal tissues, examining 116 pairs of primary lung cancers with their corresponding adjacent normal lung tissues collected a minimum of 5 cm from the tumor. Our analysis identified a five microRNA classifier could distinguish malignant lung cancer lesions from adjacent normal tissues. SCLC could be distinguished from non small lung cancer by microRNAs profiling. Survival associations were examined with the SCC and adenocarcinoma subtypes. High hsa-miR-31 expression was associated with poor survival in SCC, and the association was confirmed in 20 independent SCC patients by qRT-PCR assays. Overall these findings may help advance the use of microRNA profiling in personalized diagnosis of lung cancers. Key Words: microRNA; lung cancer; microarray; diagnosis; prognosis cancer vs adjacent normal tissues
2010-02-10 | E-GEOD-15008 | biostudies-arrayexpress
Project description:To further understand the expression pattern of long non-coding RNAs in early stage lung squamous cell carcinoma (SCC), we have employed the Arraystar Human LncRNA Microarray V3.0 profiling as a discovery platform to identify lncRNAs which are differentially expressed in early stage lung SCC. Three pairs of tumor tissues and adjacent normal tissues of early stage lung SCC patients are used for microarray analysis.
2016-10-19 | GSE88862 | GEO
Project description:We investigated whether the miRNA expression could distinguish lung cancers from normal tissues, examining 116 pairs of primary lung cancers with their corresponding adjacent normal lung tissues collected a minimum of 5 cm from the tumor. Our analysis identified a five microRNA classifier could distinguish malignant lung cancer lesions from adjacent normal tissues. SCLC could be distinguished from non small lung cancer by microRNAs profiling. Survival associations were examined with the SCC and adenocarcinoma subtypes. High hsa-miR-31 expression was associated with poor survival in SCC, and the association was confirmed in 20 independent SCC patients by qRT-PCR assays. Overall these findings may help advance the use of microRNA profiling in personalized diagnosis of lung cancers. Key Words: microRNA; lung cancer; microarray; diagnosis; prognosis
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