Identification of differential signs of squamous cell lung carcinoma by means of the mass spectrometry profiling of blood plasma.

Pyatnitskiy, M.; Lisitsa, A.; Moshkovskii, S.; Arnotskaya, N.; Akhmedov, B.; Zaridze, D.; Polotskii, B.; Shevchenko, V.

The study deals with the search for potential biomarkers of squamous cell lung cancer by virtue of low-molecular weight proteome profiling (1-20 kDa) of blood plasma. The profiling was performed by automated sample preparation followed by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. The training set comprised of 152 blood plasma samples from patients with squamous cell lung cancer and 185 ones of the control group. For processing the profiles, the method of support vector machines was used in the environment of the ClinProTools 2.0 software and freely accessible language R for statistical analysis. The original software created in R-environment was shown to provide with more plentiful opportunities in the search for potential biomarkers, i.e., mass spectral peaks, in comparison to the ClinProTools 2.0 software. As a result of study, a number of 15 mass spectral peaks was established, which discriminated blood plasma samples collected from patients with squamous cell lung cancer and those of the control group. The selection of mass spectral peaks may potentially serve for the early diagnostics of the disease.

MASS spectrometry; SPECTRUM analysis; SPECTROMETRY; BIOMARKERS; MOLECULAR weights

Journal of Analytical Chemistry, 2011, Vol 66, Issue 14, p1369

1061-9348

Academic Journal

10.1134/S1061934811140139