» Articles » PMID: 24566039

Assessment of the Exhalation Kinetics of Volatile Cancer Biomarkers Based on Their Physicochemical Properties

Overview
Journal J Breath Res
Specialty Pulmonary Medicine
Date 2014 Feb 26
PMID 24566039
Citations 23
Authors
Affiliations
Soon will be listed here.
Abstract

The current review provides an assessment of the exhalation kinetics of volatile organic compounds (VOCs) that have been linked with cancer. Towards this end, we evaluate various physicochemical properties, such as 'breath:air' and 'blood:fat' partition coefficients, of 112 VOCs that have been suggested over the past decade as potential markers of cancer. With these data, we show that the cancer VOC concentrations in the blood and in the fat span over 12 and 8 orders of magnitude, respectively, in order to provide a specific counterpart concentration in the exhaled breath (e.g., 1 ppb). This finding suggests that these 112 different compounds have different storage compartments in the body and that their exhalation kinetics depends on one or a combination of the following factors: (i) the VOC concentrations in different parts of the body; (ii) the VOC synthesis and metabolism rates; (iii) the partition coefficients between tissue(s), blood and air; and (iv) the VOCs' diffusion constants. Based on this analysis, we discuss how this knowledge allows modeling and simulating the behavior of a specific VOC under different sampling protocols (with and without exertion of effort). We end this review by a brief discussion on the potential role of these scenarios in screening and therapeutic monitoring of cancer.

Citing Articles

MOX Nanosensors to Detect Colorectal Cancer Relapses from Patient's Blood at Three Years Follow-Up, and Gender Correlation.

Astolfi M, Zonta G, Malagu C, Anania G, Rispoli G Biosensors (Basel). 2025; 15(1).

PMID: 39852107 PMC: 11764080. DOI: 10.3390/bios15010056.


Effect of HO induced oxidative stress on volatile organic compounds in differentiated 3T3-L1 cells.

Oyerinde A, Selvaraju V, Boersma M, Babu J, Geetha T Sci Rep. 2025; 15(1):2597.

PMID: 39833444 PMC: 11747074. DOI: 10.1038/s41598-025-86778-2.


Chemoresistive Nanosensors Employed to Detect Blood Tumor Markers in Patients Affected by Colorectal Cancer in a One-Year Follow Up.

Astolfi M, Rispoli G, Anania G, Zonta G, Malagu C Cancers (Basel). 2023; 15(6).

PMID: 36980683 PMC: 10046137. DOI: 10.3390/cancers15061797.


Machine learning in point-of-care automated classification of oral potentially malignant and malignant disorders: a systematic review and meta-analysis.

Ferro A, Kotecha S, Fan K Sci Rep. 2022; 12(1):13797.

PMID: 35963880 PMC: 9376104. DOI: 10.1038/s41598-022-17489-1.


Artificially Intelligent Nanoarray Detects Various Cancers by Liquid Biopsy of Volatile Markers.

Einoch Amor R, Zinger A, Broza Y, Schroeder A, Haick H Adv Healthc Mater. 2022; 11(17):e2200356.

PMID: 35765713 PMC: 11468493. DOI: 10.1002/adhm.202200356.


References
1.
King J, Koc H, Unterkofler K, Mochalski P, Kupferthaler A, Teschl G . Physiological modeling of isoprene dynamics in exhaled breath. J Theor Biol. 2010; 267(4):626-37. DOI: 10.1016/j.jtbi.2010.09.028. View

2.
Cristescu S, Mandon J, Harren F, Merilainen P, Hogman M . Methods of NO detection in exhaled breath. J Breath Res. 2013; 7(1):017104. DOI: 10.1088/1752-7155/7/1/017104. View

3.
Gelmont D, Stein R, Mead J . Isoprene-the main hydrocarbon in human breath. Biochem Biophys Res Commun. 1981; 99(4):1456-60. DOI: 10.1016/0006-291x(81)90782-8. View

4.
Koc H, King J, Teschl G, Unterkofler K, Teschl S, Mochalski P . The role of mathematical modeling in VOC analysis using isoprene as a prototypic example. J Breath Res. 2011; 5(3):037102. DOI: 10.1088/1752-7155/5/3/037102. View

5.
Kostelc J, Preti G, Zelson P, TONZETICH J, Huggins G . Volatiles of exogenous origin from the human oral cavity. J Chromatogr. 1981; 226(2):315-23. DOI: 10.1016/s0378-4347(00)86065-x. View