Small-Cell Lung Cancer (SCLC) Cell Adhesion on E- and P-Selectin Under Physiological Flow Conditions

2013 ◽  
pp. 47-56 ◽  
Author(s):  
Ulrich Richter
Keyword(s):  
Lung Cancer ◽  
Cell Adhesion ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Flow Conditions ◽  
Small Cell Lung ◽  
Physiological Flow

Adhesion of small cell lung cancer cells to E- and P-Selectin under physiological flow conditions: implications for metastasis formation

2011 ◽  
Vol 135 (5) ◽  
pp. 499-512 ◽  
Author(s):  
Ulrich Richter ◽  
Christine Schröder ◽  
Daniel Wicklein ◽  
Tobias Lange ◽  
Silvana Geleff ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cancer Cells ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Lung Cancer Cells ◽  
Metastasis Formation ◽  
Flow Conditions ◽  
Small Cell Lung ◽  
Physiological Flow

scholarly journals PLEK2 and SCN7A: novel biomarkers of non-small cell lung cancer

2020 ◽  
Author(s):  
Yongchang Liu ◽  
Xi Li ◽  
Ruimin Chang ◽  
Yufan Chen ◽  
Yang Gao
Keyword(s):  
Gene Expression ◽  
Lung Cancer ◽  
Cell Adhesion ◽  
Small Cell Lung Cancer ◽  
Focal Adhesion ◽  
Cell Lung Cancer ◽  
Gene Expression Omnibus ◽  
Small Cell ◽  
Small Cell Lung ◽  
Kaplan Meier

Abstract Objective Lung cancer is the leading cause of cancer-related death globally, and non-small cell lung cancer (NSCLC) is the most common type of lung cancer. However, the diagnosis and prognosis of NSCLC remain dim. Our team has focused on identifying differentially expressed genes (DEGs) between NSCLC tissues and adjacent tissues, which may be useful as effective diagnostic markers that can better explain the progression of NSCLC. Methods The Gene Expression Omnibus (GEO) database was used to screen the Gene Expression Omnibus series, which records the information of a large number of patients with primary NSCLC (n > 50). Then, the DEGs were validated using Student’s t -test. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed using DAVID. The prognosis information was analyzed separately using data obtained from three databases, Human Protein Atlas, Kaplan–Meier Plotter, and SurvExpress. Results A series of 180 DEGs (33 upregulated and 147 downregulated genes), mainly involving genes associated with extracellular exosomes, focal adhesion, and cell adhesion, were identified via GO analysis. Subsequently, KEGG analysis demonstrated that focal adhesion, cell adhesion molecules, and PPAR signaling pathway were the most enriched pathways. Then, we paid particular attention to pleckstrin 2 (PLEK2) and sodium voltage-gated channel alpha subunit 7 (SCN7A), as they have not been investigated as cancer-related genes previously. Kaplan–Meier survival analysis illustrated that PLEK2 and SCN7A levels were significantly correlated with the prognosis of NSCLC. Conclusions Our research found that, as potential biomarkers, both PLEK2 and SCN7A are related to the development and prognosis of NSCLC. They may be used in disease screening and prognosis. The clinical significance of these two genes deserves further investigation.

Rhenium-188-labeled anti-neural cell adhesion molecule antibodies with 2-iminothiolane modification for targeting small-cell lung cancer

2000 ◽  
Vol 14 (3) ◽  
pp. 173-179 ◽  
Author(s):  
Masako N. Hosono ◽  
Makoto Hosono ◽  
Anil K. Mishra ◽  
Alain Faivre-Chauvet ◽  
Emmanuel Gautherot ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cell Adhesion ◽  
Small Cell Lung Cancer ◽  
Adhesion Molecule ◽  
Cell Lung Cancer ◽  
Cell Adhesion Molecule ◽  
Neural Cell Adhesion Molecule ◽  
Small Cell ◽  
Small Cell Lung ◽  
Neural Cell Adhesion

scholarly journals PLEK2 and SCN7A: novel biomarkers of non-small cell lung cancer

2020 ◽  
Author(s):  
Yongchang Liu ◽  
Xi Li ◽  
Ruimin Chang ◽  
Yufan Chen ◽  
Yang Gao
Keyword(s):  
Gene Expression ◽  
Lung Cancer ◽  
Cell Adhesion ◽  
Small Cell Lung Cancer ◽  
Focal Adhesion ◽  
Cell Lung Cancer ◽  
Gene Expression Omnibus ◽  
Small Cell ◽  
Small Cell Lung ◽  
Kaplan Meier

Abstract Background Lung cancer is the leading cause of cancer-related death globally, and non-small cell lung cancer (NSCLC) is the most common type of lung cancer. However, the diagnosis and prognosis of NSCLC remain dim. Our team has focused on identifying differentially expressed genes (DEGs) between NSCLC tissues and adjacent tissues, which may be useful as effective diagnostic markers that can better explain the progression of NSCLC.Methods The Gene Expression Omnibus (GEO) database was used to screen the Gene Expression Omnibus series, which records the information of a large number of patients with primary NSCLC (n > 50). Then, the DEGs were validated using Student’s t -test. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed using DAVID. The prognosis information was analyzed separately using data obtained from three databases, Human Protein Atlas, Kaplan–Meier Plotter, and SurvExpress.Results A series of 180 DEGs (33 upregulated and 147 downregulated genes), mainly involving genes associated with extracellular exosomes, focal adhesion, and cell adhesion, were identified via GO analysis. Subsequently, KEGG analysis demonstrated that focal adhesion, cell adhesion molecules, and PPAR signaling pathway were the most enriched pathways. Then, we paid particular attention to pleckstrin 2 (PLEK2) and sodium voltage-gated channel alpha subunit 7 (SCN7A), as they have not been investigated as cancer-related genes previously. Kaplan–Meier survival analysis illustrated that PLEK2 and SCN7A levels were significantly correlated with the prognosis of NSCLC.Conclusions Our research found that, as potential biomarkers, both PLEK2 and SCN7A are related to the development and prognosis of NSCLC. They may be used in disease screening and prognosis. The clinical significance of these two genes deserves further investigation.

scholarly journals P2.01-075 Prognostic Value of Angiogenesis and Cell Adhesion Biomarkers in Non-small Cell Lung Cancer

2017 ◽  
Vol 12 (1) ◽  
pp. S833
Author(s):  
Kostas Syrigos ◽  
Kyriaki Soldatou ◽  
Dimitra Grapsa ◽  
Dimitrios Sfairopoulos ◽  
Andriani Charpidou ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cell Adhesion ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Prognostic Value ◽  
Small Cell ◽  
Small Cell Lung
Sign in / Sign up

Export Citation Format

Share Document