scholarly journals Structural variations and expression profiles of the SARS‐CoV‐2 host invasion genes in lung cancer

2020 ◽  
Vol 92 (11) ◽  
pp. 2637-2647 ◽  
Author(s):  
Rahsan Ilikci Sagkan ◽  
Dilara Fatma Akin‐Bali
Keyword(s):  
Lung Cancer ◽  
Expression Profiles ◽  
Structural Variations ◽  
Host Invasion

scholarly journals Single-Cell Expression Landscape of SARS-CoV-2 Receptor ACE2 and Host Proteases in Normal and Malignant Lung Tissues from Pulmonary Adenocarcinoma Patients

Cancers ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1250
Author(s):  
Guangchun Han ◽  
Ansam Sinjab ◽  
Kieko Hara ◽  
Warapen Treekitkarnmongkol ◽  
Patrick Brennan ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Single Cell ◽  
Cancer Patients ◽  
Expression Profiles ◽  
Lung Cells ◽  
Alveolar Type ◽  
Specific Expression ◽  
Lung Cancer Patients ◽  
Normal Tissues ◽  
Cell Expression

The novel coronavirus SARS-CoV-2 is the causative agent of the COVID-19 pandemic. Severely symptomatic COVID-19 is associated with lung inflammation, pneumonia, and respiratory failure, thereby raising concerns of elevated risk of COVID-19-associated mortality among lung cancer patients. Angiotensin-converting enzyme 2 (ACE2) is the major receptor for SARS-CoV-2 entry into lung cells. The single-cell expression landscape of ACE2 and other SARS-CoV-2-related genes in pulmonary tissues of lung cancer patients remains unknown. We sought to delineate single-cell expression profiles of ACE2 and other SARS-CoV-2-related genes in pulmonary tissues of lung adenocarcinoma (LUAD) patients. We examined the expression levels and cellular distribution of ACE2 and SARS-CoV-2-priming proteases TMPRSS2 and TMPRSS4 in 5 LUADs and 14 matched normal tissues by single-cell RNA-sequencing (scRNA-seq) analysis. scRNA-seq of 186,916 cells revealed epithelial-specific expression of ACE2, TMPRSS2, and TMPRSS4. Analysis of 70,030 LUAD- and normal-derived epithelial cells showed that ACE2 levels were highest in normal alveolar type 2 (AT2) cells and that TMPRSS2 was expressed in 65% of normal AT2 cells. Conversely, the expression of TMPRSS4 was highest and most frequently detected (75%) in lung cells with malignant features. ACE2-positive cells co-expressed genes implicated in lung pathobiology, including COPD-associated HHIP, and the scavengers CD36 and DMBT1. Notably, the viral scavenger DMBT1 was significantly positively correlated with ACE2 expression in AT2 cells. We describe normal and tumor lung epithelial populations that express SARS-CoV-2 receptor and proteases, as well as major host defense genes, thus comprising potential treatment targets for COVID-19 particularly among lung cancer patients.

Comprehensive analyses of T-UCR expression profiles and exploration of the efficacy of uc.63- and uc.280+ as biomarkers for lung cancer in Xuanwei, China

2020 ◽  
Vol 216 (6) ◽  
pp. 152978
Author(s):  
Xiao Liu ◽  
Xin Zhou ◽  
Cheng-Jun Deng ◽  
Ying Zhao ◽  
Jie Shen ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Expression Profiles

P-652 Protein expression profiles in non-small cell lung cancer. A tissue microarray-based study of 142 cases

Lung Cancer ◽  
2005 ◽  
Vol 49 ◽  
pp. S290 ◽  
Author(s):  
E. Conde ◽  
R. García Luján ◽  
A. López Encuentra ◽  
L. Sánchez ◽  
M. Sánchez-Céspedes ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Protein Expression ◽  
Small Cell Lung Cancer ◽  
Tissue Microarray ◽  
Cell Lung Cancer ◽  
Expression Profiles ◽  
Small Cell ◽  
Small Cell Lung ◽  
Protein Expression Profiles

scholarly journals Expression Profiles of microRNAs in Drug-Resistant Non-Small Cell Lung Cancer Cell Lines Using microRNA Sequencing

2018 ◽  
Vol 51 (6) ◽  
pp. 2509-2522 ◽  
Author(s):  
Shousen Hu ◽  
Yongliang Yuan ◽  
Zhizhen Song ◽  
Dan Yan ◽  
Xiangzhen Kong
Keyword(s):  
Lung Cancer ◽  
Drug Resistance ◽  
Small Cell Lung Cancer ◽  
Cell Lines ◽  
Cell Lung Cancer ◽  
Expression Profiles ◽  
Small Cell ◽  
Nsclc Cell ◽  
Drug Resistant ◽  
Small Cell Lung

Background/Aims: Drug resistance remains a main obstacle to the treatment of non- small cell lung cancer (NSCLC). The aim of this study was to identify the expression profiles of microRNAs (miRNAs) in drug-resistant NSCLC cell lines. Methods: The expression profiles of miRNAs in drug-resistant NSCLC cell lines were examined using miRNA sequencing, and the common dysregulated miRNAs in these cell lines were identified and analyzed by bioinformatics methods. Results: A total of 29 upregulated miRNAs and 36 downregulated miRNAs were found in the drug-resistant NSCLC cell lines, of which 26 upregulated and 36 downregulated miRNAs were found to be involved in the Ras signaling pathway. The expression levels, survival analysis, and receiver operating characteristic curve of the dysregulated miRNAs based on The Cancer Genome Atlas database for lung adenocarcinoma showed that hsa-mir-192, hsa-mir-1293, hsa-mir-194, hsa-mir-561, hsa-mir-205, hsa-mir-30a, and hsa-mir-30c were related to lung cancer, whereas only hsa-mir-1293 and hsa-mir-561 were not involved in drug resistance. Conclusion: The results of this study may provide novel biomarkers for drug resistance in NSCLC and potential therapies for overcoming drug resistance, and may also reveal the potential mechanisms underlying drug resistance in this disease.

scholarly journals NNK-Induced Lung Tumors: A Review of Animal Model

2011 ◽  
Vol 2011 ◽  
pp. 1-8 ◽  
Author(s):  
Hua-Chuan Zheng ◽  
Yasuo Takano
Keyword(s):  
Lung Cancer ◽  
Animal Model ◽  
Animal Models ◽  
Molecular Mechanisms ◽  
Expression Profiles ◽  
Genetic Mutation ◽  
Lung Tumors ◽  
Chemotherapeutic Agents ◽  
Signal Pathways ◽  
Lung Carcinogenesis

The incidence of lung adenocarcinoma has been remarkably increasing in recent years due to the introduction of filter cigarettes and secondary-hand smoking because the people are more exposed to higher amounts of nitrogen oxides, especially 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone(NNK), which is widely applied in animal model of lung tumors. In NNK-induced lung tumors, genetic mutation, chromosome instability, gene methylation, and activation of oncogenes have been found so as to disrupt the expression profiles of some proteins or enzymes in various cellular signal pathways. Transgenic animal with specific alteration of lung cancer-related molecules have also been introduced to clarify the molecular mechanisms of NNK in the pathogenesis and development of lung tumors. Based on these animal models, many antioxidant ingredients and antitumor chemotherapeutic agents have been proved to suppress the NNK-induced lung carcinogenesis. In the future, it is necessary to delineate the most potent biomarkers of NNK-induced lung tumorigenesis, and to develop efficient methods to fight against NNK-associated lung cancer using animal models.

Corrigendum to “Phenotypic mismatch repair hMSH2 and hMLH1 gene expression profiles in primary non-small cell lung carcinomas” [Lung Cancer 64 (2009) 282–288]

Lung Cancer ◽  
2010 ◽  
Vol 67 (1) ◽  
pp. 126
Author(s):  
Dimitra Vageli ◽  
Zoe Daniil ◽  
Jubrail Dahabreh ◽  
Eleni Karagianni ◽  
Dimitra N. Vamvakopoulou ◽  
...  
Keyword(s):  
Gene Expression ◽  
Lung Cancer ◽  
Mismatch Repair ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Small Cell ◽  
Small Cell Lung ◽  
Lung Carcinomas ◽  
Hmlh1 Gene

scholarly journals RNA Sequencing in Comparison to Immunohistochemistry for Measuring Cancer Biomarkers in Breast Cancer and Lung Cancer Specimens

Biomedicines ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 114
Author(s):  
Maxim Sorokin ◽  
Kirill Ignatev ◽  
Elena Poddubskaya ◽  
Uliana Vladimirova ◽  
Nurshat Gaifullin ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lung Cancer ◽  
Rna Sequencing ◽  
Expression Profiles ◽  
Correlation Study ◽  
Cancer Tissue ◽  
Transcriptional Level ◽  
Tissue Samples ◽  
Protein Levels ◽  
Formalin Fixed Paraffin Embedded

RNA sequencing is considered the gold standard for high-throughput profiling of gene expression at the transcriptional level. Its increasing importance in cancer research and molecular diagnostics is reflected in the growing number of its mentions in scientific literature and clinical trial reports. However, the use of different reagents and protocols for RNA sequencing often produces incompatible results. Recently, we published the Oncobox Atlas of RNA sequencing profiles for normal human tissues obtained from healthy donors killed in road accidents. This is a database of molecular profiles obtained using uniform protocol and reagents settings that can be broadly used in biomedicine for data normalization in pathology, including cancer. Here, we publish new original 39 breast cancer (BC) and 19 lung cancer (LC) RNA sequencing profiles obtained for formalin-fixed paraffin-embedded (FFPE) tissue samples, fully compatible with the Oncobox Atlas. We performed the first correlation study of RNA sequencing and immunohistochemistry-measured expression profiles for the clinically actionable biomarker genes in FFPE cancer tissue samples. We demonstrated high (Spearman’s rho 0.65–0.798) and statistically significant (p < 0.00004) correlations between the RNA sequencing (Oncobox protocol) and immunohistochemical measurements for HER2/ERBB2, ER/ESR1 and PGR genes in BC, and for PDL1 gene in LC; AUC: 0.963 for HER2, 0.921 for ESR1, 0.912 for PGR, and 0.922 for PDL1. To our knowledge, this is the first validation that total RNA sequencing of archived FFPE materials provides a reliable estimation of marker protein levels. These results show that in the future, RNA sequencing can complement immunohistochemistry for reliable measurements of the expression biomarkers in FFPE cancer samples.

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