Risk of breast cancer among enlisted Army women occupationally exposed to volatile organic compounds

2005 ◽  
Vol 48 (3) ◽  
pp. 157-167 ◽  
Author(s):  
Christopher P. Rennix ◽  
Margaret M. Quinn ◽  
Paul J. Amoroso ◽  
Ellen A. Eisen ◽  
David H. Wegman
Keyword(s):  
Breast Cancer ◽  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Volatile Organic ◽  
Occupationally Exposed

scholarly journals Biomonitoring of Workers Exposed to Volatile Organic Compounds Associated with Different Occupations by Headspace GC-FID

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Ghazala Yaqub ◽  
Almas Hamid ◽  
Nikhat Khan ◽  
Sunaina Ishfaq ◽  
Asha Banzir ◽  
...  
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Work Experience ◽  
Working Hours ◽  
Strong Relationship ◽  
Blood Samples ◽  
Petrol Station ◽  
Volatile Organic ◽  
Occupationally Exposed ◽  
The Individual

The present study has been undertaken to analyze the total accumulated burden of volatile organic compounds (VOCs) in blood of occupationally exposed workers. The headspace technique combined with gas chromatography with flame ionization detector was used for the quantitative analysis of the different volatile organic compounds (isopropyl alcohol, phenol, benzene, dichloromethane, ethanol, ethyl acetate, and toluene) in 80 blood samples from the workers belonging to different occupations i.e., shoe polish workers, thinner handlers, paint workers, furniture polish workers, petrol station attendants, textile dyeing workers, printing press workers, and dry port workers as biomonitoring is one of the most promising methods for analyzing the individual burden of VOCs. Another purpose of this study was to investigate the correlation between detected concentrations of VOCs and associated health issues reported by the workers of these professions. Results of the study revealed the presence of different VOCs in blood samples of approximately 70 workers out of 80, and statistical analysis proved a strong relationship between the reported work experience, working hours, and diseases and the detected concentrations of respective volatile organic compounds.

scholarly journals Expression of CYP2E1 gene in paint workers occupationally exposed to organic solvents

2019 ◽  
Vol 35 (3) ◽  
Author(s):  
Nguyen Thi Hien ◽  
Do Thi Cam Nhung ◽  
Nguyen Phu Hung ◽  
Bui Phuong Thuan ◽  
Nguyen Quang Huy
Keyword(s):  
Cytochrome P450 ◽  
Volatile Organic Compounds ◽  
Mrna Expression ◽  
Environmental Health ◽  
Organic Compounds ◽  
Exposed Group ◽  
Cyp2e1 Gene ◽  
Volatile Organic ◽  
Exposed Workers ◽  
Occupationally Exposed

Benzene (B), toluene (T), ethylbenzene (E) and xylene (X) are used commonly in paint industry, so workers who are a high risk of exposure to organic solvent (VOCs). CYP2E1 gene encodes CYP2E1 which plays an important role in the metabolism and bio-activation of volatile organic compounds. When workers expose to VOCs, their body will have a mechanism to metabolize the toxic. The enhancement of mRNA expression of CYP2E1 is a very sensitive and accurate biological marker, which is the basis for the next study to propose the level of mRNA expression of CYP2E1 gene as a human biological indicator to monitor to workers occupationally exposed to VOCs. In this study, we studied the level of mRNA expression of CYP2E1 gene from 118 participants that including 73 workers of exposed group from the paint factories and 45 workers of non-exposed group from garment factories by using Realtime-PCR with SYBR Green – an asymmetrical cyanine dye used as a nucleic acid stain in molecular biology. The initial results, showed that the exposed group had a higher mRNA expression level of CYP2E1 than the non-exposed group approximately 10.47 times, and this difference was statistically significant (P value < 0.05). And the age and the duration of exposure to organic solvents do not affect the expression level of CYP2E1. Keywords CYP2E1, the metabolisms of volatile organic compounds, mRNA expression of CYP2E1. References [1] A. Mendoza-Cantu, F. Castorena-Torres, M. Bermudez De Leon et al., Occupational toluene exposure induces cytochrome P450 2E1 mRNA expression in peripheral lymphocytes, Environmental Health Perspectives, 114 (2006) 494 - 499. https://doi.org/10.1289/ehp.8192.[2] J.H. Hartman, G. Boysen and G.P. Miller, CYP2E1 metabolism of styrene involves allostery, Drug Metabolism and Disposition, 40 (2012) 1976-1983. https://doi.org/10.1124/dmd. 112.046698. [3] S.M. Zhu, X.F. Ren, J.X. Wan et al., Evaluation in vinyl chloride monomer (VCM) - exposed workers and the relationship between liver lesions and gene polymorphisms of metabolic enzymes, World Journal of Gastroenterology,11 (2005) 5821 -5827. 10.3748/wjg.v11.i37.5821.[4] J. Wan, J. Shi, L. Hui et al., Association of genetic polymorphisms in CYP2E1, MPO, NQO1, GSTM1, and GSTT1 genes with benzene poisoning, Environmental Health Perspectives, 110 (2002), 1213-1218. https://doi.org/10.1289/ ehp.021101213.[5] U. Bernauer, B. Vieth, R. Ellrich et al., CYP2E1 - dependent benzene toxicity: the role of extrahepatic benzene metabolism, Archives of Toxicology, 73 (1999) 189 -196. https://doi.org/ 10.1007/s002040050605. [6] P.L. Sheets, G.S. Yost and G.P. Carlson. Benzene metabolism in human lung cell lines BEAS‐2B and A549 and cells overexpressing CYP2F1, Journal of Biochemical and Molecular Toxicology, 18 (2004) 92-99. https://doi.org/10. 1002/jbt.20010.[7] V. Nedelcheva, I. Gut, P. Souček et al., Metabolism of benzene in human liver microsomes: individual variations in relation to CYP2E1 expression, Archives of Toxicology, 73 (1999) 33-40. https://doi.org/10.1007/s0020400 50583.[8] W. Tassaneeyakul, D.J. Birkett, J.W. Edwards et al., Human cytochrome P450 isoform specificity in the regioselective metabolism of toluene and o-, m-and p-xylene, Journal of Pharmacology and Experimental Therapeutics, 276 (1996) 101 - 108. 10.1163/2211730x96x00063[9] A.-H. Wang, S.-M. Zhu, Y.-L. Qiu et al., CYP2E1 mRNA expression, genetic polymorphisms in peripheral blood lymphocytes and liver abnormalities in Chinese VCM-exposed workers, International Journal of Occupational Medicine and Environmental Health, 21 (2008), 141 - 146. 10.2478/v10001-008-0016-x.[10] J. Zhang, Y. Lihong, G. Liang et al., Detection of CYP2E1, a genetic biomarker of susceptibility to benzene metabolism toxicity in immortal human lymphocytes derived from the Han Chinese population, Biomedical and Environmental Sciences, 24 (2011) 300-309. https://doi.org/10. 3967/0895-3988.2011.03.014[11] American Conference of Industrial Hygienists, Guide to Occupational Exposeure Values, ACGIH, Cincinnati, 2018.[12] Bộ Y Tế, Quyết định của Bộ trưởng Bộ Y tế về việc ban hành 21 tiêu chuẩn vệ sinh lao động, 05 nguyên tắc và 07 thông số vệ sinh lao động, 2002.[13] American Conference of Industrial Hygienists, Threshold Limit Value for Chemical Substances and Physical Agents and Biological Exposure Indices, ACGIH, Cincinnati, 2018.[14] Bộ Y Tế, Thông tư 28/2006/TT- BYT hướng dẫn quản lý bệnh bệnh nghề nghiệp, 2016.[15] M. Al Zallouha, Y. Landkocz, J. Brunet et al., Usefulness of toxicological validation of VOCs catalytic degradation by air-liquid interface exposure system", Environmental Research, 152 (2017) 328-335. https://doi.org/10.1016/j.envres. 2016.10.027  

scholarly journals Tracking the Progression of Triple Negative Mammary Tumors over Time by Chemometric Analysis of Urinary Volatile Organic Compounds

Cancers ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1462
Author(s):  
Mark Woollam ◽  
Luqi Wang ◽  
Paul Grocki ◽  
Shengzhi Liu ◽  
Amanda P. Siegel ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Triple Negative ◽  
Solid Phase ◽  
Univariate Analysis ◽  
Principal Component ◽  
Linear Discriminant ◽  
Volatile Organic ◽  
Over Time

Previous studies have shown that volatile organic compounds (VOCs) are potential biomarkers of breast cancer. An unanswered question is how urinary VOCs change over time as tumors progress. To explore this, BALB/c mice were injected with 4T1.2 triple negative murine tumor cells in the tibia. This typically causes tumor progression and osteolysis in 1–2 weeks. Samples were collected prior to tumor injection and from days 2–19. Samples were analyzed by headspace solid phase microextraction coupled to gas chromatography–mass spectrometry. Univariate analysis identified VOCs that were biomarkers for breast cancer; some of these varied significantly over time and others did not. Principal component analysis was used to distinguish Cancer (all Weeks) from Control and Cancer Week 1 from Cancer Week 3 with over 90% accuracy. Forward feature selection and linear discriminant analysis identified a unique panel that could identify tumor presence with 94% accuracy and distinguish progression (Cancer Week 1 from Cancer Week 3) with 97% accuracy. Principal component regression analysis also demonstrated that a VOC panel could predict number of days since tumor injection (R2 = 0.71 and adjusted R2 = 0.63). VOC biomarkers identified by these analyses were associated with metabolic pathways relevant to breast cancer.

scholarly journals A prediction model using 2-propanol and 2-butanone in urine distinguishes breast cancer

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Shoko Kure ◽  
Sera Satoi ◽  
Toshihiko Kitayama ◽  
Yuta Nagase ◽  
Nobuo Nakano ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Volatile Organic Compounds ◽  
Cancer Patients ◽  
Organic Compounds ◽  
External Validation ◽  
Healthy Controls ◽  
Breast Cancer Patients ◽  
Training Set ◽  
Volatile Organic ◽  
Validation Set

AbstractSafe and noninvasive methods for breast cancer screening with improved accuracy are urgently needed. Volatile organic compounds (VOCs) in biological samples such as breath and blood have been investigated as noninvasive novel markers of cancer. We investigated volatile organic compounds in urine to assess their potential for the detection of breast cancer. One hundred and ten women with biopsy-proven breast cancer and 177 healthy volunteers were enrolled. The subjects were divided into two groups: a training set and an external validation set. Urine samples were collected and analyzed by gas chromatography and mass spectrometry. A predictive model was constructed by multivariate analysis, and the sensitivity and specificity of the model were confirmed using both a training set and an external set with reproducibility tests. The training set included 60 breast cancer patients (age 34–88 years, mean 60.3) and 60 healthy controls (age 34–81 years, mean 58.7). The external validation set included 50 breast cancer patients (age 35–85 years, mean 58.8) and 117 healthy controls (age 18–84 years, mean 51.2). One hundred and ninety-one compounds detected in at least 80% of the samples from the training set were used for further analysis. The predictive model that best-detected breast cancer at various clinical stages was constructed using a combination of two of the compounds, 2-propanol and 2-butanone. The sensitivity and specificity in the training set were 93.3% and 83.3%, respectively. Triplicated reproducibility tests were performed by randomly choosing ten samples from each group, and the results showed a matching rate of 100% for the breast cancer patient group and 90% for the healthy control group. Our prediction model using two VOCs is a useful complement to the current diagnostic tools. Further studies inclusive of benign tumors and non-breast malignancies are warranted.

scholarly journals Identification of profiles of volatile organic compounds in exhaled breath by means of an electronic nose as a proposal for a screening method for breast cancer: a case-control study

2020 ◽  
Vol 14 (4) ◽  
pp. 046009 ◽  
Author(s):  
Lorena Díaz de León-Martíne ◽  
Maribel Rodríguez-Aguilar ◽  
Patricia Gorocica-Rosete ◽  
Carlos Alberto Domínguez-Reyes ◽  
Verónica Martínez-Bustos ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Electronic Nose ◽  
Case Control Study ◽  
Screening Method ◽  
Case Control ◽  
Exhaled Breath ◽  
Volatile Organic ◽  
Control Study
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