scholarly journals Analysis of gene expression profiles of non-small cell lung cancer at different stages reveals significantly altered biological functions and candidate genes

2017 ◽  
Vol 37 (3) ◽  
pp. 1736-1746 ◽  
Author(s):  
Jin Wang ◽  
Jianxiang Song ◽  
Zhengya Gao ◽  
Xudong Huo ◽  
Yajun Zhang ◽  
...  
Lung Cancer ◽  
2013 ◽  
Vol 80 ◽  
pp. S12-S13
Author(s):  
S. Han ◽  
H. Lee ◽  
S. Lee ◽  
W.J. Kim ◽  
Y. Oh ◽  
...  

Lung Cancer ◽  
2007 ◽  
Vol 56 (2) ◽  
pp. 175-184 ◽  
Author(s):  
E. Dehan ◽  
A. Ben-Dor ◽  
W. Liao ◽  
D. Lipson ◽  
H. Frimer ◽  
...  

Author(s):  
И.В. Пронина ◽  
В.И. Логинов ◽  
Д.С. Ходырев ◽  
Т.П. Казубская ◽  
Э.А. Брага

Рак лёгкого отличает высокая распространенность и смертность, связанные в значительной степени с отсутствием доступных методов ранней диагностики. Методом количественной ОТ-ПЦР показано повышение в 5 и более раз экспрессии 3 генов хромосомы 3 в большинстве образцов немелкоклеточного рака лёгкого (НМРЛ) и его гистологических подвидов: аденокарциномы легкого (АК) и плоскоклеточного рака легкого (ПРЛ). При использовании комбинации из трех генов RHOA, GPX1 и NKIRAS1 повышение экспрессии детектируется в 85% (33/39) НМРЛ, в том числе в 78% (18/23) ПРЛ и 94% АК (15/16). Интересно, что при анализе пациентов только ранних стадий (I/II) чувствительность предложенного набора генов сохраняется и даже несколько повышается. Lung cancer is distinguished by an extremely high prevalence and a high mortality rate due to its late detection and unavailability of methods for early diagnosis. Changes in gene expression were evaluated using quantitative RT-PCR. Expression of several chromosome 3 genes (specifically, RHOA, GPX1, and NKIRAS1) was shown to be increased 5 or more times in most samples of non-small cell lung cancer (NSCLC) and its histological subtypes, lung adenocarcinoma (AC) and squamous cell lung cancer (SLC). When a combination of three genes, RHOA, GPX1 and NKIRAS1, was used increased expression was detected in 85% (33/39) of NSCLC samples, including 78% (18/23) of SLC samples and 94% of AC (15/16) samples. Interestingly, when only samples from early-stage cancer (I/II) patients were analyzed, the sensitivity of the proposed set of genes was preserved and even somewhat increased.


PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e8215 ◽  
Author(s):  
Li Zhang ◽  
Rui Peng ◽  
Yan Sun ◽  
Jia Wang ◽  
Xinyu Chong ◽  
...  

Background Non-small cell lung cancer (NSCLC) is one of the most common malignant tumors in the world, and it has become the leading cause of death of malignant tumors. However, its mechanisms are not fully clear. The aim of this study is to investigate the key genes and explore their potential mechanisms involving in NSCLC. Methods We downloaded gene expression profiles GSE33532, GSE30219 and GSE19804 from the Gene Expression Omnibus (GEO) database and analyzed them by using GEO2R. Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes were used for the functional and pathway enrichment analysis. We constructed the protein-protein interaction (PPI) network by STRING and visualized it by Cytoscape. Further, we performed module analysis and centrality analysis to find the potential key genes. Finally, we carried on survival analysis of key genes by GEPIA. Results In total, we obtained 685 DEGs. Moreover, GO analysis showed that they were mainly enriched in cell adhesion, proteinaceous extracellular region, heparin binding. KEGG pathway analysis revealed that transcriptional misregulation in cancer, ECM-receptor interaction, cell cycle and p53 signaling pathway were involved in. Furthermore, PPI network was constructed including 249 nodes and 1,027 edges. Additionally, a significant module was found, which included eight candidate genes with high centrality features. Further, among the eight candidate genes, the survival of NSCLC patients with the seven high expression genes were significantly worse, including CDK1, CCNB1, CCNA2, BIRC5, CCNB2, KIAA0101 and MELK. In summary, these identified genes should play an important role in NSCLC, which can provide new insight for NSCLC research.


Sign in / Sign up

Export Citation Format

Share Document