scholarly journals Non‐invasive lung cancer diagnosis by detection of GATA 6 and NKX 2‐1 isoforms in exhaled breath condensate

2016 ◽  
Vol 8 (12) ◽  
pp. 1380-1389 ◽  
Author(s):  
Aditi Mehta ◽  
Julio Cordero ◽  
Stephanie Dobersch ◽  
Addi J Romero‐Olmedo ◽  
Rajkumar Savai ◽  
...  
Author(s):  
Guillermo Barreto ◽  
Aditi Mehta ◽  
Julio Cordero ◽  
Stephanie Dobersch ◽  
Addi J Romero-Olmedo ◽  
...  

2020 ◽  
Vol 66 (1) ◽  
pp. 42-49
Author(s):  
Andrey Arsenev ◽  
Sergey Novikov ◽  
Aleksey Barchuk ◽  
Sergey Kanaev ◽  
Anton Barchuk ◽  
...  

This article reviews the literature and summarizes single institution experience of applying different diagnostic algorithms for lung cancer. All diagnostic methods can be divided into three groups: non-invasive; minimally invasive and invasive. The non-invasive methods include clinical examination; imaging methods for anatomical, functional and multimodal visualization; sputum cytological, analysis of the exhaled breath, detection of various blood and sputum markers. Minimally invasive methods include endoscopy, percutaneous fine-needle and core-needle biopsy. Invasive methods include diagnostic thoracoscopy and laparoscopy, mediastinoscopy, parasternal mediastinotomy and diagnostic thoracotomy. While creating an individual diagnostic plan for each patient it is necessary to carefully analyze the effectiveness, safety, sensitivity, specificity and of different methods available among wide range of modern diagnostic techniques. Optimization of lung cancer diagnosis methods, which includes early cancer detection, is one of priority areas of modern oncology. Many aspects of this problem remain unresolved and require further research


2021 ◽  
Vol 40 (4) ◽  
pp. S63
Author(s):  
E. Ibáñez-Martínez ◽  
M. López-Nogueroles ◽  
M. Alcoriza-Balaguer ◽  
I. Pérez ◽  
M. Roca-Marugán ◽  
...  

Lung Cancer ◽  
2010 ◽  
Vol 67 (1) ◽  
pp. 108-113 ◽  
Author(s):  
Giovanna E. Carpagnano ◽  
Antonio Spanevello ◽  
Grazia P. Palladino ◽  
Claudia Gramiccioni ◽  
Cinzia Ruggieri ◽  
...  

2011 ◽  
Vol 2011 ◽  
pp. 1-6 ◽  
Author(s):  
A. Shoemark ◽  
R. Wilson

Bronchiectasis is characterised by neutrophilic bronchial inflammation. Direct measurement of lung inflammation would be useful to assess disease activity, guide need for treatment, and monitor response. The aim of this study was to test whether exhaled breath condensate (EBC) pH, a simple noninvasive test, provides a clinically useful measure of inflammation in the lungs of patients with bronchiectasis. 96 consecutively referred patients were studied when clinically stable, 20 followed up over two years, and a further 22 patients seen during an exacerbation. Subjects breathed tidally for 10 minutes into a condensing chamber (Ecoscreen, Erich Jaeger, Hoechberg, Germany). pH in EBC was measured immediately using a pH probe. In a representative group of 25 patients samples were deaerated with argon gas. This was to control for variations in pH ex vivo by removing CO2. EBC was acidic in bronchiectasis patients () compared to controls () and primary ciliary dyskinesia patients (). pH was related to lung volume but not disease severity. Repeated measures show EBC pH changes with symptoms. EBC is further acidified during an exacerbation of bronchiectasis (), this acidification persists following treatment (). EBC pH is not sufficiently sensitive or specific to monitor patients' health status or provide information to inform acute treatment decisions.


2016 ◽  
Vol 9 ◽  
pp. MRI.S40864 ◽  
Author(s):  
Naseer Ahmed ◽  
Tedros Bezabeh ◽  
Omkar B. Ijare ◽  
Renelle Myers ◽  
Reem Alomran ◽  
...  

Objectives Lung cancer is one of the most lethal cancers. Currently, there are no biomarkers for early detection, monitoring treatment response, and detecting recurrent lung cancer. We undertook this study to determine if 1H magnetic resonance spectroscopy (MRS) of sputum and exhaled breath condensate (EBC), as a noninvasive tool, can identify metabolic biomarkers of lung cancer. Materials and Methods Sputum and EBC samples were collected from 20 patients, comprising patients with pathologically confirmed non-small cell lung cancer ( n = 10) and patients with benign respiratory conditions ( n = 10). Both sputum and EBC samples were collected from 18 patients; 2 patients provided EBC samples only. 1H MR spectra were obtained on a Bruker Avance 400 MHz nuclear magnetic resonance (NMR) spectrometer. Sputum samples were further confirmed cytologically to distinguish between true sputum and saliva. Results In the EBC samples, median concentrations of propionate, ethanol, acetate, and acetone were higher in lung cancer patients compared to the patients with benign conditions. Median concentration of methanol was lower in lung cancer patients (0.028 mM) than in patients with benign conditions (0.067 mM; P = 0.028). In the combined sputum and saliva and the cytologically confirmed sputum samples, median concentrations of N-acetyl sugars, glycoprotein, propionate, lysine, acetate, and formate were lower in the lung cancer patients than in patients with benign conditions. Glucose was found to be consistently absent in the combined sputum and saliva samples (88%) as well as in the cytologically confirmed sputum samples (86%) of lung cancer patients. Conclusion Absence of glucose in sputum and lower concentrations of methanol in EBC of lung cancer patients discerned by 1H MRS may serve as metabolic biomarkers of lung cancer for early detection, monitoring treatment response, and detecting recurrence.


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