Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA137081 | ENA |
REPOSITORIES: ENA
Similar Datasets
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: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
2010-02-11 | GSE15008 | GEO
Project description:Identifying ovarian cancer populations associated with poor prognosis
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Project description:MicroRNA-224 promotes tumor progression in non-small cell lung cancer
| PRJNA272417 | ENA
Project description:SUMMARY Non-Hispanic Black/African American (Black/AA) men in the United States have disproportionally higher incidence and mortality rates of lung cancer compared to non-Hispanic White (NHW) men. Biological factors are believed to play critical roles in driving the disparities. Nevertheless, large-scale genomic studies fail to identify significant somatic differences in lung cancer driver genes contributing to the disparities. Elevated expression of protein arginine methyltransferases (PRMTs) correlating with poorer prognosis is observed in many cancer types. Here, we observed a higher PRMT6 expression in lung cancer of Black/AA men compared to NHW men. PRMT6 formed a heteromer complex with PRMT1 to catalyze arginine methylation of interleukin enhancer-binding factor 2 essential for cell proliferation. Disrupting PRMT1/PRMT6 heteromer complex by a competitive peptide reduced cell proliferation in non-small cell lung cancer cell lines and lung cancer patient-derived organoids. This work implicates that PRMT1/PRMT6 heteromer complex contributes to poorer lung cancer outcomes in Black/AA men vs. NHW men that could serve as a target to eliminate cancer health disparities.
2023-12-15 | MSV000093674 | MassIVE
Project description:To identify microRNAs that regulate therapeutic resistance, we conducted a high-throughput miRNA microarray on a cohort study of primary NSCLC (non-small cell lung cancer) tissues and adjacent normal tissues. We found some microRNAs related to therapeutic resistance and poor prognosis.
2015-04-15 | GSE56036 | GEO
Project description:Identification of CpG island methylator phenotype predicts the prognosis of small cell lung cancer
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Project description:Slug-induced miR-137 expression contributes to non-small cell lung cancer progression
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