Detection of precancerous gastric lesions and gastric cancer through exhaled breath

Amal, Haitham; Leja, Mārcis; Funka, Konrāds; Škapars, Roberts; Sīviņš, Armands; Ancāns, Guntis; Liepniece-Karele, Inta; Ķikuste, Ilze; Lasiņa, Ieva; Haick, Hossam

doi:10.1136/gutjnl-2014-308536

Cited by 167 publications

(200 citation statements)

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“…the chemical profiles of highly-and semi-VOCs in exhaled breath linked with disease. [3][4][5][6][7][8][9][10][11][12][13][14][15] The rationale behind this approach relies on the fact that VOCs generated by cellular metabolic pathways during a specific disease circulate in the blood stream and diffuse into exhaled breath, which is easily sampled. 4,16,17 In certain instances, analysis of breathprints offers several potential advantages, such as: (a) breath samples are non-invasive and easy to obtain; (b) breath contains less complicated mixtures than either serum or urine; and (c) breath testing has the potential for direct and real-time diagnosis and monitoring.…”

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confidence: 99%

Silicon Nanowire Sensors Enable Diagnosis of Patients via Exhaled Breath

et al. 2016

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Abstract:Two of the biggest challenges in medicine today are the need to detect diseases in a non-invasive manner, and to differentiate between patients using a single diagnostic tool. The current study targets these two challenges by developing a molecularlymodified Silicon Nanowire Field Effect Transistors (SiNW FETs) and showing its use in the detection and classification of many disease breathprints (lung cancer, gastric cancer, asthma and Chronic Obstructive Pulmonary Disease). The fabricated SiNW FETs are characterized and optimized based on a training set that correlated their sensitivity and selectivity towards volatile organic compounds (VOCs) linked with diseased states. The best sensors obtained in the training set are then examined under real-world clinical conditions, using breath samples from 374 subjects. Analysis of the clinical samples showed that the optimized SiNW FETs can detectand discriminate between almost all binary comparisons of the diseases under examination with >80% accuracy. Overall, this approach has the potential to support detection of many diseases in a direct positive way, which can reassure patients and prevent numerous negative investigations. 3Physicians are always challenged by the need to give the correct diagnosis as early in the onset of a disease is possible, whether the disease-related symptoms are absent or not evident.1 Symptoms are not always characteristic of one particular disease; overlap of symptoms is common in, for example, lung diseases. 2 Patients with different respiratory diseases, such as malignant or benign tumors, or substantially less severe diseases, may have similar symptoms, e.g. cough, chest pain, difficulty to breathe, etc. These symptoms may be characteristic of lung cancer (LC), pneumonia, asthma, and chronic obstructive pulmonary disease (COPD). 1,2Therefore, it is of particular clinical importance to find a diagnostic tool capable of distinguishing between these diseases. A diagnostic tool that involves no needle, surgery and/or active materials and/or radioactive exposure would have a benefit.A highly promising approach that could meet the aforementioned need is based on the detection and classification of the disease breathprint, viz. the chemical profiles of highly-and semi-VOCs in exhaled breath linked with disease. [3][4][5][6][7][8][9][10][11][12][13][14][15] The rationale behind this approach relies on the fact that VOCs generated by cellular metabolic pathways during a specific disease circulate in the blood stream and diffuse into exhaled breath, which is easily sampled. 4,16,17 In certain instances, analysis of breathprints offers several potential advantages, such as: (a) breath samples are non-invasive and easy to obtain; (b) breath contains less complicated mixtures than either serum or urine; and (c) breath testing has the potential for direct and real-time diagnosis and monitoring. 3,18-21Several mass-spectrometry and spectroscopy studies have shown that the breathprint of a specific disease differs from that of healthy control...

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Silicon Nanowire Sensors Enable Diagnosis of Patients via Exhaled Breath

et al. 2016

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“…The future of prevention of gastric cancer deaths relies on the timely and early diagnosis and surveillance of patients with precancerous lesions as well as early detection of the cancer, making higher survival rates and lower healthcare costs per patient achievable [9,10]. Endoscopy with sampling of gastric biopsies is effective in screening of upper GI malignancies.…”

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confidence: 99%

Atrophic Gastritis and Gastric Cancer Risk amongst Diabetes Mellitus Type 2 Subjects and Controls in Yaounde Cameroon Using a Panel of Serum Biomarkers (PGI, G-17)

Ebule¹,

Djune²,

Njeambosay³

et al. 2017

J Clin Gastroenterol Treat

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Introduction: Gastric inflammation is a precursor to many gastrointestinal disorders including, peptic ulcer disease, atrophic gastritis and gastric cancer. Gastritis is frequent and usually severe in patients with diabetes mellitus (DMT2), probably due to the impairment of their immune status. Atrophic gastritis is usually accompanied by low hydrochloric acid, low pepsinogens and hypergastrinemia and is the most significant risk condition for gastric cancer. Studies on atrophic gastritis are scarce amongst diabetic subjects. This study aimed at detection and comparison of pepsinogen I(PGI) and gastrin-17(G-17) in serum of diabetes mellitus and non-diabetic subjects and also to find if there exists any significant correlation between these markers and DMT2.

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“…It has been a concern that breath analysis might be confounded by H. pylori infection or smoking behaviors. However, recent study showed that breath analysis with a breathsensing nanoarray was not affected by ages, sex, smoking, drinking habits, H. pylori infection or proton pump inhibitor medications [84].…”

Section: Volatile Organic Compounds As Markers Of Gastric Cancermentioning

confidence: 96%

“…Several studies have highlighted the potential of breath analysis for gastric cancer detection. The identified volatile organic compounds from gastric cancer patients included hexanoic acid, phenol, methyl phenol, ethyl phenol, 2-propenenitrile, 2-butoxy-ethanol, furfural, 6-methyl-5-hepten-2-one, hexadecane, 4-methyloctane, 1,2,3-trimethylbenzene, α-methyl-styrene, acetone, tetradecane, 3-methylpentane, hexane, 2,3-dimethylpentane, 2-methylhexane, and dodecane [83][84][85][86]. In addition, 2-butanone and menthol have been found at lower levels in gastric cancer patients comparing to controls.…”

Section: Volatile Organic Compounds As Markers Of Gastric Cancermentioning

confidence: 99%

“…Using a combination of 4 VOCs, gastric cancer patients could be differentiated from gastritis patients (the integrated area under the ROC curve is 0.91) [69]. While with a model using a combination of 8 VOCs, gastric cancer patients could be discriminated from precancerous gastritis controls with 73% sensitivity, 98% specificity and 92% accuracy [84]. It has been a concern that breath analysis might be confounded by H. pylori infection or smoking behaviors.…”

Section: Volatile Organic Compounds As Markers Of Gastric Cancermentioning

confidence: 99%

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New Developments of Gastric Cancer Biomarker Research

Fu¹

2016

Nano BioMed ENG

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current research interests include epigenetic regulation specifically TET1 and p53-EZH2 pathway in gastric carcinogenesis, the relation between H. Pylori and EBV infections and gastric cancer and the effect of immune cell microenvironment on gastric cancer. AbstractGastric cancer is a deadly disease with high incidence and mortality rate in China. Early detection and treatment of gastric cancer showed significantly better 5-year survival rate. Conventional screening methods of gastric cancer include barium meal or endoscopic screening. There is a great need to find new biomarkers of gastric cancer for simpler, faster, and non-invasive screening of gastric cancer. A large array of molecules such as protein markers, metabolite markers, RNA markers, breath organic molecules have been identified as potential markers of gastric screening. Among them, pepsinogens and gastrin-17 have been applied in large scale of population screening. New species of metabolite markers, microRNA markers and breath molecules may further enhance the simplicity, sensitivity and specificity of gastric cancer screening.

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Detection of precancerous gastric lesions and gastric cancer through exhaled breath

Abstract: Clinical Trials.gov number, NCT01420588 (3/11/2013).

Cited by 167 publications

References 35 publications

Silicon Nanowire Sensors Enable Diagnosis of Patients via Exhaled Breath

Silicon Nanowire Sensors Enable Diagnosis of Patients via Exhaled Breath

Atrophic Gastritis and Gastric Cancer Risk amongst Diabetes Mellitus Type 2 Subjects and Controls in Yaounde Cameroon Using a Panel of Serum Biomarkers (PGI, G-17)

New Developments of Gastric Cancer Biomarker Research

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