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MiRNA profile of lung adenocarcinoma cells treatment with monoclonal antibody NJ001

ABSTRACT: This SuperSeries is composed of the SubSeries listed below.

ORGANISM(S): synthetic construct Homo sapiens

PROVIDER: GSE51947 | GEO | 2016/10/29

SECONDARY ACCESSION(S): PRJNA225905

REPOSITORIES: GEO

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miRNA profile of lung adenocarcinoma cells treatment with monoclonal antibody NJ001 [miRNA_72h]

Project description:Previously, we developed a newly monoclonal antibody named NJ001 which selectively reacted to non-small cell lung cancer and exhibited anti-tumor activity both in vitro and in vivo by inhibiting proliferation, colony formation, apoptosis and so on. MiRNA ubiquitously regulates cell processes such as cell cycle regulation, invasion, differentiation and proliferation. We used microarrays to detail the miRNA changes in the lung adenocarcinoma cell SPC-A1 after treatment with NJ001. These miRNA may have contribution to the effect of NJ001 on cancer cells.

2016-10-29 | GSE51945 | GEO

miRNA profile of lung adenocarcinoma cells treatment with monoclonal antibody NJ001 [miRNA_12h_24h_48h]

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miRNA profile of lung adenocarcinoma cells treatment with monoclonal antibody NJ001

Project description:miRNA profile of lung adenocarcinoma cells treatment with monoclonal antibody NJ001

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Lung adenocarcinoma subtypes definable by lung development-related miRNA expression profiles in association with clinicopathologic features

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Epitope mapping of a monoclonal antibody directed against Neisserial Heparin Binding Antigen

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Lung adenocarcinoma subtypes definable by lung development-related miRNA expression profiles in association with clinicopathologic features

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MiRNA expression profile in murine

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

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Human lung adenocarcinoma

Project description:This SuperSeries is composed of the SubSeries listed below.

2012-05-17 | GSE36471 | GEO

Blood-borne miRNA profile-based diagnostic classifier for lung adenocarcinoma.

Project description:Accumulated evidence indicates that various types of miRNA are aberrantly expressed in lung cancer and secreted into the bloodstream. For this study, we constructed a serum diagnostic classifier based on detailed bioinformatics analysis of miRNA profiles from a training cohort of 143 lung adenocarcinoma patients and 49 healthy subjects, resulting in a 20 miRNA-based classifier. Validation performed with an independent cohort of samples from lung adenocarcinoma patients (n?=?110), healthy subjects (n?=?52), and benign pulmonary disease patients (n?=?47) showed a sensitivity of 89.1% and specificity of 94.9%, with an area under the curve value of 0.958. Notably, 90.8% of Stage I lung adenocarcinoma cases were correctly diagnosed. Interestingly, this classifier also detected squamous and large cell lung carcinoma cases at relatively high rates (70.4% and 70.0%, respectively), which appears to be consistent with organ site-dependent miRNA expression in cancer tissues. In contrast, we observed significantly lower rates (0-35%) using samples from 96 cases of cancer in other major organs, with breast cancer the lowest. These findings warrant a future study to realize its clinical application as a part of diagnostic procedures for lung cancers, for which early detection and surgical removal is presently the only hope for eventual cure.

| S-EPMC4979017 | biostudies-literature

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