scholarly journals Analysis the susceptibility of lung cancer patients to SARS-CoV-2 infection

2020 ◽  
Author(s):  
Qi Kong
Keyword(s):  
Gene Expression ◽  
Lung Cancer ◽  
Meta Analysis ◽  
Lung Squamous Cell Carcinoma ◽  
Gene Expression Omnibus ◽  
Lung Cancers ◽  
Lung Cancer Patients ◽  
Angiotensin I Converting Enzyme ◽  
Novel Coronavirus ◽  
Transmembrane Serine Protease

Abstract Recent studies have reported that 2019 novel coronavirus disease (COVID-19) patients with lung cancer have a higher risk of severe events than patients without cancer. In this study, we investigated the expression of severe acute respiratory syndrome coronavirus 2 (SAR-CoV-2) receptor angiotensin I-converting enzyme 2 (ACE2) and the cellular protease transmembrane serine protease 2 (TMPRSS2) and their associations with prognosis in lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). We found that there are significant differences in susceptibility to SAR-CoV-2 among each age stages of individuals with the expression of ACE2. ACE2 was also high expressed in LUAD and LUSC, and this suggests that COVID-19 patients with lung cancers are susceptible to SAR-CoV-2 infection. Our data showed the differential gene expression level and gene coexpression of ACE2 and TMPRSS2 among each subtypes and pathological stages of LUAD and LUSC and the data were verified by meta-analysis, gene expression omnibus (GEO) data and animal models results.

scholarly journals A comparative microarray analysis identifies a conserved gene expression signature between airway injury and lung cancer

2016 ◽  
Author(s):  
Adam Giangreco
Keyword(s):  
Gene Expression ◽  
Lung Cancer ◽  
Microarray Analysis ◽  
Gene Expression Signature ◽  
Lung Squamous Cell Carcinoma ◽  
Altered Expression ◽  
Lung Cancers ◽  
Expression Signature ◽  
Airway Injury ◽  
Cancer Pathogenesis

AbstractLung squamous cell carcinoma (SqCC) accounts for 30% of lung cancers, with over 400,000 deaths per year worldwide. Although evidence suggests that chronic lung injury drives carcinogenesis, a comprehensive understanding of this process remains elusive. Here, I used a comparative microarray analysis to identify gene expression differences shared between airway injury and squamous lung cancer. Of the 667 genes that exhibited differential expression following murine polidocanol and SO2 injury, 40.6% were additionally dysregulated in human SqCC. Among these, 150 genes were consistently upregulated and 54 downregulated relative to all controls. Examples included genes associated with increased cell cycling, aberrant cytokinesis and DNA repair, and enhanced tumour cell invasion and metastases. For 88.2% of identified genes, altered expression was associated with increased SqCC progression and patient mortality. These results establish a novel gene expression signature linking airway injury and lung cancer pathogenesis.

scholarly journals Role of Omentin in Obesity Paradox in Lung Cancer

Cancers ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 275
Author(s):  
Sheetal Parida ◽  
Sumit Siddharth ◽  
Dipali Sharma
Keyword(s):  
Lung Cancer ◽  
Obesity Paradox ◽  
Health Concern ◽  
Case Control Studies ◽  
Aberrant Expression ◽  
Lung Cancers ◽  
Lung Cancer Patients ◽  
Significant Enrichment ◽  
Normal Lungs ◽  
Related Mortality

Lung cancer remains the second-most-common cancer worldwide and is associated with the highest number of cancer-related mortality. While tobacco smoking is the most important risk factor for lung cancer, many other lifestyles and occupational factors significantly contribute. Obesity is a growing global health concern and contributes to ~30% cancer-related mortality, but unlike other lifestyle diseases, lung cancer is negatively associated with obesity. We meta-analyzed multiple case-control studies confirming increased survival and better outcomes in overweight and obese lung cancer patients. Tumor heterogeneity analysis showed significant enrichment of adipocytes and preadipocytes in normal lungs compared to lung cancers. Interestingly, one of the understudied adipokine, omentin, was significantly and consistently lower in lung neoplasms compared to normal lungs. Omentin has been examined in relation to osteoarthritis, inflammatory bowel disease, cardiovascular diseases, diabetes, chronic liver disease, psoriasis and some other cancers. Aberrant expression of omentin has been reported in solid tumors; however, little is known about its role in lung cancer. We found omentin to be consistently downregulated in lung cancers, and it exhibited a negative correlation with important transcription factors FOXA1, EN1, FOXC1 and ELK4. We, therefore, suggest that omentin may serve as a prognostic factor in lung cancer and explain the “obesity paradox” in lung cancer.

scholarly journals Identification of key genes associated with lung adenocarcinoma by bioinformatics analysis

2021 ◽  
Vol 104 (1) ◽  
pp. 003685042199727
Author(s):  
Xinyu Wang ◽  
Jiaojiao Yang ◽  
Xueren Gao
Keyword(s):  
Gene Expression ◽  
Lung Cancer ◽  
Lung Adenocarcinoma ◽  
Cox Regression ◽  
Enrichment Analysis ◽  
Tumor Stage ◽  
Gene Expression Omnibus ◽  
Poor Overall Survival ◽  
Key Genes ◽  
Low Expression

Lung adenocarcinoma (LUAD) is the most common histological type of lung cancer, comprising around 40% of all lung cancer. Until now, the pathogenesis of LUAD has not been fully elucidated. In the current study, we comprehensively analyzed the dysregulated genes in lung adenocarcinoma by mining public datasets. Two sets of gene expression datasets were obtained from the Gene Expression Omnibus (GEO) database. The dysregulated genes were identified by using the GEO2R online tool, and analyzed by R packages, Cytoscape software, STRING, and GPEIA online tools. A total of 275 common dysregulated genes were identified in two independent datasets, including 54 common up-regulated and 221 common down-regulated genes in LUAD. Gene Ontology (GO) enrichment analysis showed that these dysregulated genes were significantly enriched in 258 biological processes (BPs), 27 cellular components (CCs), and 21 molecular functions (MFs). Furthermore, protein-protein interaction (PPI) network analysis showed that PECAM1, ENG, KLF4, CDH5, and VWF were key genes. Survival analysis indicated that the low expression of ENG was associated with poor overall survival (OS) of LUAD patients. The low expression of PECAM1 was associated with poor OS and recurrence-free survival of LUAD patients. The cox regression model developed based on age, tumor stage, ENG, PECAM1 could effectively predict 5-year survival of LUAD patients. This study revealed some key genes, BPs, CCs, and MFs involved in LUAD, which would provide new insights into understanding the pathogenesis of LUAD. In addition, ENG and PECAM1 might serve as promising prognostic markers in LUAD.

scholarly journals Soluble c-Met Is a Reliable and Sensitive Marker to Detect c-Met Expression Level in Lung Cancer

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Huilai Lv ◽  
Baoen Shan ◽  
Ziqiang Tian ◽  
Yong Li ◽  
Yuefeng Zhang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Tissue Sample ◽  
Sample Collection ◽  
Lung Cancers ◽  
Lung Cancer Patients ◽  
Lung Cancer Therapy ◽  
Reliable Marker ◽  
Soluble C ◽  
Sensitive Marker

c-Met has been demonstrated as an attractive target in lung cancer therapy. Current studies showed that detection of c-Met status in tumor is critical in Met-targeted therapy. However not all patients are suitable for tissue sample collection. It is important to discover novel surrogate markers to detect c-Met status. In the study, soluble c-Met (s-Met) in plasma from 146 Chinese lung cancer patients and 40 disease-free volunteers was measured by enzyme-linked immunosorbent. In parallel, expression of c-Met in those tumors was also assessed by immunohistochemistry. Results showed that, in 146 lung cancer patients, 93 were c-Met expression positive and 74 of 93 were overexpressed. In c-Met-overexpressed patients, plasma s-Met was significantly increased. And further studies showed that plasma s-Met linearly correlated with c-Met expression in tumor. After tumor was removed in Met-overexpressed patients via resection, plasma s-Met significantly decreased to basal level. In addition, plasma s-Met showed to be poorly correlated with tumor size in Met-overexpressed patients. These results demonstrated that plasma s-Met is a sensitive and reliable marker to detect c-Met overexpression in lung cancers, and it is independent of tumor volume.

Circulating 25-hydroxyvitamin D level and prognosis of lung cancer patients: A systematic review and meta-analysis

2017 ◽  
Vol 104 (7-8) ◽  
pp. 675-682 ◽  
Author(s):  
Jian-Da Huang ◽  
Chao-Hui Dong ◽  
Sheng-Wen Shao ◽  
Tong-Jie Gu ◽  
Zhi-Lin Hu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Systematic Review ◽  
Cancer Patients ◽  
Meta Analysis ◽  
Lung Cancer Patients ◽  
Hydroxyvitamin D ◽  
25 Hydroxyvitamin D
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