Breath biomarkers for lung cancer detection and assessment of smoking related effects--confounding variables, influence of normalization and statistical algorithms.

Abstract

BACKGROUND:

Up to now, none of the breath biomarkers or marker sets proposed for cancer recognition has reached clinical relevance. Possible reasons are the lack of standardized methods of sampling, analysis and data processing and effects of environmental contaminants.

METHODS:

Concentration profiles of endogenous and exogenous breath markers were determined in exhaled breath of 31 lung cancer patients, 31 smokers and 31 healthy controls by means of SPME-GC-MS. Different correcting and normalization algorithms and a principal component analysis were applied to the data.

RESULTS:

Differences of exhalation profiles in cancer and non-cancer patients did not persist if physiology and confounding variables were taken into account. Smoking history, inspired substance concentrations, age and gender were recognized as the most important confounding variables. Normalization onto PCO2 or BSA or correction for inspired concentrations only partially solved the problem. In contrast, previous smoking behaviour could be recognized unequivocally.

CONCLUSION:

Exhaled substance concentrations may depend on a variety of parameters other than the disease under investigation. Normalization and correcting parameters have to be chosen with care as compensating effects may be different from one substance to the other. Only well-founded biomarker identification, normalization and data processing will provide clinically relevant information from breath analysis.

• Authors: Sabine Kischkel, Wolfram Miekisch, Annika Sawacki, Eva M Straker, Phillip Trefz, Anton Amann, Jochen K Schubert
• Journal: Clinica chimica acta; international journal of clinical chemistry (Clin Chim Acta) Vol. 411 Issue 21-22 Pg. 1637-44 (Nov 11 2010) ISSN: 1873-3492 [Electronic] Netherlands
• PMID: 20542019 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't, Validation Study)
• Copyright: 2010 Elsevier B.V. All rights reserved.

Chemical References

• Biomarkers

Topics

• Adult
• Aged
• Algorithms
• Biomarkers (analysis)
• Breath Tests (methods)
• Case-Control Studies
• Data Interpretation, Statistical
• Female
• Humans
• Lung Neoplasms (diagnosis)
• Male
• Reference Values
• Research Design (standards)
• Smoking (adverse effects)