scholarly journals Analysis of volatile organic compounds released from SW480 colorectal cancer cells and the blood of tumor-bearing mice

2019 ◽  
Vol 8 (8) ◽  
pp. 2736-2751
Author(s):  
Desheng Liu ◽  
Linlin Ji ◽  
Mingjuan Li ◽  
Dandan Li ◽  
Lei Guo ◽  
...  
Cancers ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 2361
Author(s):  
Filippo Vernia ◽  
Marco Valvano ◽  
Stefano Fabiani ◽  
Gianpiero Stefanelli ◽  
Salvatore Longo ◽  
...  

Colorectal cancer (CRC) is one of the leading causes of cancer-related death in the Western world. Early detection decreases incidence and mortality. Screening programs based on fecal occult blood testing help identify patients requiring endoscopic examination, but accuracy is far from optimal. Among the alternative strategies, volatile organic compounds (VOCs) represent novel potentially useful biomarkers of colorectal cancer. They also represent a promising tool for the screening of both intestinal inflammation and related CRC. The review is focused on the diagnostic potential of VOCs in sporadic CRC and in inflammatory bowel diseases (IBD), which increase the risk of CRC, analyzing future clinical applications. Despite limitations related to inadequate strength of evidence, differing analytical platforms identify different VOCs, and this unconventional approach for diagnosing colorectal cancer is promising. Some VOC profiles, besides identifying inflammation, seem disease-specific in inflammatory bowel diseases. Thus, breath, urine, and fecal VOCs provide a new and promising clinical approach to differential diagnosis, evaluation of the inflammatory status, and possibly the assessment of treatment efficacy in IBD. Conversely, specific VOC patterns correlating inflammatory bowel disease and cancer risk are still lacking, and studies focused on this issue are strongly encouraged. No prospective studies have assessed the risk of CRC development by using VOCs in samples collected before the onset of disease, both in the general population and in patients with IBD.


2019 ◽  
Vol 57 (5) ◽  
pp. 385-396 ◽  
Author(s):  
Seongho Kim ◽  
Xinmin Yin ◽  
Md Aminul Islam Prodhan ◽  
Xiang Zhang ◽  
Zichun Zhong ◽  
...  

2016 ◽  
Vol 18 (7) ◽  
pp. 654-663 ◽  
Author(s):  
M. Di Lena ◽  
F. Porcelli ◽  
D. F. Altomare

2015 ◽  
Vol 77 (7) ◽  
Author(s):  
Reena Thriumani ◽  
Amanina Iymia Jeffreea ◽  
Ammar Zakaria ◽  
Yumi Zuhanis Has-Yun Hasyim ◽  
Khaled Mohamed Helmy ◽  
...  

 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.  


2015 ◽  
Vol 262 (5) ◽  
pp. 862-867 ◽  
Author(s):  
Donato F. Altomare ◽  
Maria Di Lena ◽  
Francesca Porcelli ◽  
Elisabetta Travaglio ◽  
Francesco Longobardi ◽  
...  

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