New immunological markers for the identification of lung cancer risk groups among workers in hazardous industries in Kuzbass region

Abstract

Polycyclic aromatic hydrocarbons are widely known as risk factor in relation to lung cancer development. In this connection, we suggested to use idiotypic and anti-idiotypic antibodies IgG and IgA classes against polycyclic aromatic hydrocarbons in human blood serum as new biomarkers for lung cancer risk. The blood serums of 202 healthy men and 275 men with lung cancer were analyzed by ELISA based on idiotypic and anti-idiotypic antibodies IgG and IgA classes against polycyclic aromatic hydrocarbons. Obtained data were analyzed. It was suggested to use ratio of idiotypic and anti-idiotypic antibodies rather than distinguish level each of them separately. The neural networks for idiotypic and anti-idiotypic antibodies of IgG class (AUC = 0.95), idiotypic and anti-idiotypic antibodies of IgA class (AUC = 0.86), and idiotypic and anti-idiotypic antibodies of IgA and IgG classes (AUC = 0.93) were built as models for lung cancer predictions. Finally, the ELISA data of 52 Kuzbass region coal miners were identified as a group of lung cancer risk using obtained models. So, suggested markers antibodies in human blood serum were not only identified lung cancer patients also elicited group of lung cancer risk among healthy people.