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Chemical characterization of exhaled breath to differentiate between patients with malignant plueral mesothelioma from subjects with similar professional asbestos exposure

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Abstract

Malignant pleural mesothelioma (MPM) is an aggressive tumour whose main aetiology is the long-term exposure to asbestos fibres. The diagnostic procedure of MPM is difficult and often requires invasive approaches; therefore, it is clinically important to find accurate markers for MPM by new noninvasive methods that may facilitate the diagnostic process and identify patients at an earlier stage. In the present study, the exhaled breath of 13 patients with histology-established diagnosis of MPM, 13 subjects with long-term certified professional exposure to asbestos (EXP) and 13 healthy subjects without exposure to asbestos (healthy controls, HC) were analysed. An analytical procedure to determine volatile organic compounds by sampling of air on a bed of solid sorbent and thermal desorption GC-MS analysis was developed in order to identify the compounds capable of discriminating among the three groups. The application of univariate (ANOVA) and multivariate statistical treatments (PCA, DFA and CP-ANN) showed that cyclopentane and cyclohexane were the dominant variables able to discriminate among the three groups. In particular, it was found that cyclohexane is the only compound able to differentiate the MPM group from the other two; therefore, it can be a possible marker of MPM. Cyclopentane is the dominant compound in the discrimination between EXP and the other groups (MPM and HC); then, it can be considered a good indicator for long-term asbestos exposure. This result suggests the need to perform frequent and thorough investigations on people exposed to asbestos in order to constantly monitor their state of health or possibly to study the evolution of disease over time.

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References

  1. Robinson BW, Lake RA (2005) Advances in previous malignant mesothelioma. N Engl J Med 353(15):1591–1603

    Article  CAS  Google Scholar 

  2. Curran D, Sahmoud T, Therasse P, van Meerbeeck J, Postmus PE, Giaccone G (1998) Prognostic factors in patients with previous pleural mesothelioma: the European Organization for Research and Treatment of Cancer experience. J Clin Oncol 16(1):145–152

    CAS  Google Scholar 

  3. Grellier L, Astoul P (2008) Mesothelioma and asbestos-related plueral diseases. Respiration 76:1–15

    Article  Google Scholar 

  4. Kaufman AJ, Pass HI (2008) Current concepts in malignant pleural mesothelioma. Expert Rev Anticancer Ther 8:293–303

    Article  CAS  Google Scholar 

  5. Kent M, Rice D, Flores R (2008) Diagnosis, staging and surgical treatment of malignant pleural mesothelioma. Curr Treat Options Oncol 9:158–170

    Article  Google Scholar 

  6. Greillier L, Baas P, Welch JJ, Hasan B, Passioukov A (2008) Biomarkers for malignant pleural mesothelioma. Mol Diagn Ther 12:375–390

    CAS  Google Scholar 

  7. Pauling L, Robinson AB, Teranishi R, Cary P (1971) Quantitative analysis of urine vapour and breath by gas–liquid partition chromatography. Proc Nat Acad Sci 68:2374–2376

    Article  CAS  Google Scholar 

  8. Rooth G, Ostenson S (1966) Acetone in alveolar air and the control of diabetes. Lancet 2:1102–1105

    Article  CAS  Google Scholar 

  9. Gordon SM, Szidon JP, Krotoszynski BK, Gibbons RD, O’Neill HJ (1985) Volatile organic compounds in exhaled air from patients with lung cancer. Clin Chem 31(8):1278–1282

    CAS  Google Scholar 

  10. Phillips M (1997) Method for the collection and assay of volatile organic compounds in breath. Anal Biochem 247:272–278

    Article  CAS  Google Scholar 

  11. Phillips M, Erickson GA, Sabas M, Smith JP, Greenberg J (1995) Volatile organic compounds in the breath of patients with schizophrenia. J Clin Pathol 48:466–469

    Article  CAS  Google Scholar 

  12. Karl T, Prazeller P, Mayr D, Jordan A, Rieder J, Fall R, Lindinger W (2001) Human breath isoprene and its relation to blood cholesterol levels: new measurements and modeling. J Appl Physiol 91:762–770

    CAS  Google Scholar 

  13. Westhoff M, Litterst P, Freitag L, Urfer W, Bader S, Baumbach JI (2009) Ion mobility spectrometry for the detection of volatile organic compounds in exhaled breath of patients with lung cancer: results of a pilot study. Thorax 64:744–774

    Article  CAS  Google Scholar 

  14. Pleil JD, Lindstrom AB (1997) Exhaled human breath measurement method for assessing exposure to halogenated volatile organic compounds. Clin Chem 43:723–730

    CAS  Google Scholar 

  15. Amann A, Smith D (2005) Breath analysis for clinical diagnosis and therapeutic monitoring. World Scientific Publishing, 5 Toh Tuck Link, Singapore

  16. Belda Iniesta C, de Castro J, Carpeño CJA, Moreno V, Casado Sáenz E, Feliu J, Sereno M, García Río F, Barriuso J, González Barón M (2007) New screening method for lung cancer by detecting volatile organic compounds in breath. Clin Transl Oncol 9:364–368

    Article  CAS  Google Scholar 

  17. Friedrich MJ (2009) Scientists seek to sniff out diseases: electronic “noses” may someday be diagnostic tools. JAMA 301:585–586

    Article  CAS  Google Scholar 

  18. Sobin LH, Witterkind C (2002) TNM classification of malignant tumours. International Union Against Cancer, 6th edn. Wiley-Liss, New York

    Google Scholar 

  19. Dragonieri S, Schot R, Mertens JA, Le Cessie S, Gauw SA, Spanevello A, Resta O, Willard NP, Vink TJ, Rabe KF, Bel EH, Sterk PJ (2007) An electronic nose in the discrimination of patients with asthma and controls. J Allergy Clin Immunol 120(4):856–862

    Article  Google Scholar 

  20. Bruno P, Caselli M, de Gennaro G, Iacobellis S, Tutino M (2008) Monitoring of volatile organic compounds in non-residential indoor environments. Indoor Air 18:150–156

    Article  Google Scholar 

  21. Zupan J, Gasteiger J (1999) Neural networks in chemistry and drug design, 2nd edn. Wiley-VCH, Weinheim

    Google Scholar 

  22. Zupan J, Novi M, Ruisánchez I (1997) Kohonen and counterpropagation artificial neural networks in analytical chemistry. Chemom Intell Lab Syst 38:1–23

    Article  CAS  Google Scholar 

  23. Kohonen T (1988) Self-organization and associative memory. Springer, Berlin

    Google Scholar 

  24. Chase RE (2001) Properties and manufacture of TedlarR polyvinyl fluoride film VERL. Ford Research Laboratory ERC Technical Report Issued

  25. Steeghs MML, Cristescu SM, Munnik P, Zanen P, Harren FJM (2007) The suitability of Tedlar bags for breath sampling in medical diagnostic research. Physiol Meas 28:73–84

    Article  Google Scholar 

  26. Trabue SL, Anhalt J, Zahn JA (2006) Bias of Tedlar bags in the measurement of agricultural odorants. J Environ Qual 35:1668–1677

    Article  CAS  Google Scholar 

  27. Gross P (1984) Biologic activity of epsilon-caprolactam. Crit Rev Toxicol 13:205–216

    Article  CAS  Google Scholar 

  28. Landi MT, Consonni D, Rotunno M, Bergen AW, Goldstein AM (2008) Environment and Genetics in Lung Cancer Etiology (EAGLE) Study: an integrative population-based case–control study of lung cancer. BMC Public Health 8:203

    Article  Google Scholar 

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de Gennaro, G., Dragonieri, S., Longobardi, F. et al. Chemical characterization of exhaled breath to differentiate between patients with malignant plueral mesothelioma from subjects with similar professional asbestos exposure. Anal Bioanal Chem 398, 3043–3050 (2010). https://doi.org/10.1007/s00216-010-4238-y

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  • DOI: https://doi.org/10.1007/s00216-010-4238-y

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