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.

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 Expression Status and Prognostic Values of SOCS Family Genes in Non-small Cell Lung Cancer

2021 ◽  
Author(s):  
Xuede Zhang ◽  
Kai Sun ◽  
Lingling Bao
Keyword(s):  
Gene Expression ◽  
Lung Cancer ◽  
Dna Methylation ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
High Expression ◽  
Small Cell Lung ◽  
Kaplan Meier ◽  
Kaplan Meier Plotter

Abstract Backgroud:Suppressors of cytokine signaling (SOCS) family play important roles in the development of cancers by inhibiting the transmission of the Janus kinases–signal transducers and activators of transcription (JAK-STAT) signaling pathway. However, the expression patterns and prognostic value of SOCS family genes in non-small cell lung cancer (NSCLC) remains unclear. Methods: The SOCS family genes expression profiles were explored using ONCOMINE and GEPIA online tools. The mutation and copy number alterations of SOCS family genes in NSCLC were assessed by cBioportal for Cancer Genomics. The methylation status of SOCS family members were analyzed through MEXPRESS and UCSC Xena website. The prognostic values of SOCS family genes in NSCLC were explored through Kaplan-Meier Plotter database. Results: The expression levels of SOCS2, SOCS3, and cytokine-inducible SH2-containing protein (CIS/CISH) were significantly reduced in NSCLC tissues compared to normal lung tissues. The aberrant DNA methylation of SOCS family genes were frequent in NSCLC. CISH methylation was negatively correlated with gene expression in NSCLC. The Kaplan-Meier Plotter analysis demonstrated high expression of SOCS1 may be a predictor of poor prognosis in lung adenocarcinoma(LUAD) but served as a favorable prognostic marker of lung squamous cell carcinoma. The high expression levels of SOCS2 and SOCS4-7 were significantly correlated with better overall survival (OS) in LUAD but not in lung squamous carcinoma (LUSC) patients. Conclusions:Our findings indicated that the aberrant gene expression and DNA methylation of SOCS family members are common in NSCLC and contribute to tumorigenesis. SOCS family genes may serve as therapeutic targets and prognostic biomarkers for NSCLC patients

p53-regulated GML gene expression in non-small cell lung cancer: Relation to cisplatin chemosensitivity

Lung Cancer ◽  
2000 ◽  
Vol 29 (1) ◽  
pp. 193
Author(s):  
M Higashiyama ◽  
K Kodama ◽  
H Yokouchi ◽  
K Takami ◽  
Y Miyoshi ◽  
...  
Keyword(s):  
Gene Expression ◽  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Small Cell Lung

Effects of fine air particulates on gene expression in non-small-cell lung cancer

2017 ◽  
Vol 62 (2) ◽  
pp. 295-301 ◽  
Author(s):  
Biao Yang ◽  
Xinming Li ◽  
Dongmei Chen ◽  
Chunling Xiao
Keyword(s):  
Gene Expression ◽  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Small Cell Lung

scholarly journals Cell-autonomous immune gene expression is repressed in pulmonary neuroendocrine cells and small cell lung cancer

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Ling Cai ◽  
Hongyu Liu ◽  
Fang Huang ◽  
Junya Fujimoto ◽  
Luc Girard ◽  
...  
Keyword(s):  
Gene Expression ◽  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Neuroendocrine Cells ◽  
Immune Gene ◽  
Small Cell Lung ◽  
Immune Gene Expression ◽  
Pulmonary Neuroendocrine Cells

AbstractSmall cell lung cancer (SCLC) is classified as a high-grade neuroendocrine (NE) tumor, but a subset of SCLC has been termed “variant” due to the loss of NE characteristics. In this study, we computed NE scores for patient-derived SCLC cell lines and xenografts, as well as human tumors. We aligned NE properties with transcription factor-defined molecular subtypes. Then we investigated the different immune phenotypes associated with high and low NE scores. We found repression of immune response genes as a shared feature between classic SCLC and pulmonary neuroendocrine cells of the healthy lung. With loss of NE fate, variant SCLC tumors regain cell-autonomous immune gene expression and exhibit higher tumor-immune interactions. Pan-cancer analysis revealed this NE lineage-specific immune phenotype in other cancers. Additionally, we observed MHC I re-expression in SCLC upon development of chemoresistance. These findings may help guide the design of treatment regimens in SCLC.

scholarly journals Predicting Diagnostic Gene Biomarkers for Non-Small-Cell Lung Cancer

2016 ◽  
Vol 2016 ◽  
pp. 1-8
Author(s):  
Bin Liang ◽  
Yang Shao ◽  
Fei Long ◽  
Shu-Juan Jiang
Keyword(s):  
Gene Expression ◽  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Association Network ◽  
Small Cell Lung ◽  
Functional Association ◽  
Functional Association Network ◽  
Gene Modules

Lung cancer is the primary reason for death due to cancer worldwide, and non-small-cell lung cancer (NSCLC) is the most common subtype of lung cancer. Most patients die from complications of NSCLC due to poor diagnosis. In this paper, we aimed to predict gene biomarkers that may be of use for diagnosis of NSCLC by integrating differential gene expression analysis with functional association network analysis. We first constructed an NSCLC-specific functional association network by combining gene expression correlation with functional association. Then, we applied a network partition algorithm to divide the network into gene modules and identify the most NSCLC-specific gene modules based on their differential expression pattern in between normal and NSCLC samples. Finally, from these modules, we identified genes that exhibited the most impact on the expression of their functionally associated genes in between normal and NSCLC samples and predicted them as NSCLC biomarkers. Literature review of the top predicted gene biomarkers suggested that most of them were already considered critical for development of NSCLC.

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