A PRELIMINARY STUDY ON DETECTION OF LUNG CANCER CELLS BASED ON VOLATILE ORGANIC COMPOUNDS SENSING USING ELECTRONIC NOSE

2015 ◽  
Vol 77 (7) ◽  
Author(s):  
Reena Thriumani ◽  
Amanina Iymia Jeffreea ◽  
Ammar Zakaria ◽  
Yumi Zuhanis Has-Yun Hasyim ◽  
Khaled Mohamed Helmy ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Volatile Organic Compounds ◽  
Cancer Cells ◽  
Organic Compounds ◽  
Electronic Nose ◽  
Preliminary Investigation ◽  
Lung Cancer Cells ◽  
Polymer Sensors ◽  
Volatile Organic

 This paper proposes a preliminary investigation on the volatile production patterns generated from three sets of in-vitro cancerous cell samples of headspace that contains volatile organic compounds using the electronic nose system.  A commercialized electronic nose consisting of 32 conducting polymer sensors (Cyranose 320) is used to analyze the three classes of signals which are lung cancer cells grown in media, breast cancer cells grown in media and the blank media (without cells). Neural Network (PNN) based classification technique is applied to investigate the performance of an electronic nose (E-nose) system for cancerous lung cell classification.  

A study of the volatile organic compounds exhaled by lung cancer cells in vitro for breath diagnosis

Cancer ◽  
2007 ◽  
Vol 110 (4) ◽  
pp. 835-844 ◽  
Author(s):  
Xing Chen ◽  
Fengjuan Xu ◽  
Yue Wang ◽  
Yuefeng Pan ◽  
Deji Lu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Volatile Organic Compounds ◽  
Cancer Cells ◽  
Organic Compounds ◽  
Lung Cancer Cells ◽  
Volatile Organic

Analysis of volatile organic compounds (VOCs) in the headspace of NCI-H1666 lung cancer cells

2011 ◽  
Vol 7 (3) ◽  
pp. 153-161 ◽  
Author(s):  
Andreas Sponring ◽  
Wojciech Filipiak ◽  
Clemens Ager ◽  
Jochen Schubert ◽  
Wolfram Miekisch ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Volatile Organic Compounds ◽  
Cancer Cells ◽  
Organic Compounds ◽  
Lung Cancer Cells ◽  
Volatile Organic

scholarly journals Release of volatile organic compounds (VOCs) from the lung cancer cell line CALU-1 in vitro

2008 ◽  
Vol 8 (1) ◽  
pp. 17 ◽  
Author(s):  
Wojciech Filipiak ◽  
Andreas Sponring ◽  
Tomas Mikoviny ◽  
Clemens Ager ◽  
Jochen Schubert ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Volatile Organic Compounds ◽  
Cell Line ◽  
Organic Compounds ◽  
Cancer Cell ◽  
Cancer Cell Line ◽  
Lung Cancer Cell Line ◽  
Lung Cancer Cell ◽  
Volatile Organic

scholarly journals Volatile organic compounds of biofluids for detecting lung cancer by an electronic nose based on artificial neural network

2019 ◽  
Vol 17 (1) ◽  
pp. 67-67 ◽  
Author(s):  
Ehab I. Mohamed ◽  
Marwa A. Mohamed ◽  
Samir M. Abdel-Mageed ◽  
Taher S. Abdel-Mohdy ◽  
Mohamed I. Badawi ◽  
...  
Keyword(s):  
Neural Network ◽  
Lung Cancer ◽  
Artificial Neural Network ◽  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Electronic Nose ◽  
Volatile Organic ◽  
Artificial Neural

scholarly journals A study on volatile organic compounds emitted by in-vitro lung cancer cultured cells using gas sensor array and SPME-GCMS

BMC Cancer ◽  
2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Reena Thriumani ◽  
Ammar Zakaria ◽  
Yumi Zuhanis Has-Yun Hashim ◽  
Amanina Iymia Jeffree ◽  
Khaled Mohamed Helmy ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Volatile Organic Compounds ◽  
Gas Sensor ◽  
Organic Compounds ◽  
Sensor Array ◽  
Cultured Cells ◽  
Gas Sensor Array ◽  
Volatile Organic

Discriminative detection of volatile organic compounds using an electronic nose based on TiO2 hybrid nanostructures

2021 ◽  
pp. 130124
Author(s):  
Patrick P. Conti ◽  
Rafaela S. Andre ◽  
Luiza A. Mercante ◽  
Lucas Fugikawa-Santos ◽  
Daniel S. Correa
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Electronic Nose ◽  
Hybrid Nanostructures ◽  
Volatile Organic

scholarly journals Circular RNA FLNA acts as a sponge of miR-486-3p in promoting lung cancer progression via regulating XRCC1 and CYP1A1

2021 ◽  
Author(s):  
Jiongwei Pan ◽  
Gang Huang ◽  
Zhangyong Yin ◽  
Xiaoping Cai ◽  
Enhui Gong ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Cells ◽  
Cancer Cell ◽  
Cancer Progression ◽  
Lung Cancer Cells ◽  
Luciferase Reporter ◽  
Migration And Invasion ◽  
Related Factors

AbstractSignificantly high-expressed circFLNA has been found in various cancer cell lines, but not in lung cancer. Therefore, this study aimed to explore the role of circFLNA in the progression of lung cancer. The target gene of circFLNA was determined by bioinformatics and luciferase reporter assay. Viability, proliferation, migration, and invasion of the transfected cells were detected by CCK-8, colony formation, wound-healing, and transwell assays, respectively. A mouse subcutaneous xenotransplanted tumor model was established, and the expressions of circFLNA, miR-486-3p, XRCC1, CYP1A1, and related genes in the cancer cells and tissues were detected by RT-qPCR, Western blot, or immunohistochemistry. The current study found that miR-486-3p was low-expressed in lung cancer. MiR-486-3p, which has been found to target XRCC1 and CYP1A1, was regulated by circFLNA. CircFLNA was located in the cytoplasm and had a high expression in lung cancer cells. Cancer cell viability, proliferation, migration, and invasion were promoted by overexpressed circFLNA, XRCC1, and CYP1A1 but inhibited by miR-486-3p mimic and circFLNA knockdown. The weight of the xenotransplanted tumor was increased by circFLNA overexpression yet reduced by miR-486-3p mimic. Furthermore, miR-486-3p mimic reversed the effect of circFLNA overexpression on promoting lung cancer cells and tumors and regulating the expressions of miR-486-3p, XRCC1, CYP1A1, and metastasis/apoptosis/proliferation-related factors. However, overexpressed XRCC1 and CYP1A1 reversed the inhibitory effect of miR-486-3p mimic on cancer cells and tumors. In conclusion, circFLNA acted as a sponge of miR-486-3p to promote the proliferation, migration, and invasion of lung cancer cells in vitro and in vivo by regulating XRCC1 and CYP1A1.

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