Idiotypic and anti-idiotypic antibodies against polycyclic aromatic hydrocarbon in human blood serum are new biomarkers of lung cancer
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Ivan S. Grebenshchikov1,*, Artem E. Studennikov1, Vadim I. Ivanov2, Natalia V. Ivanova2, Victor A. Titov3, Natalja E. Vergbickaya3 and Valentin A. Ustinov1,*
1 Federal State Scientific Institute, Federal Research Centre Coal and Coal Chemistry, Siberian Branch of the Russian Academy of Sciences, Institute of Human Ecology, Kemerovo, 650065, Russia
2 Federal State Educational Institute of Higher Professional Education, Kemerovo State University, Kemerovo, 650043, Russia
3 Regional Oncology Clinic, Kemerovo, 650055, Russia
* These authors contributed equally to this work
|Ivan S. Grebenshchikov,||email:||[email protected]|
|Valentin A. Ustinov,||email:||[email protected]|
Keywords: polycyclic aromatic hydrocarbon; benzo[a]pyrene; anti-idiotypic antibodies; idiotypic antibodies; lung cancer
Received: September 05, 2018 Accepted: June 29, 2019 Published: August 20, 2019
Evaluation of epidemiologic risk factor in relation to lung cancer invoked by polycyclic aromatic hydrocarbons has been inconsistent. To address this issue, we conducted a prospective evaluation of new biomarkers for lung cancer classified according levels of idiotypic and anti-idiotypic antibodies against polycyclic aromatic hydrocarbons in human blood serum. The blood serums of 557 lung cancer patients and 227 healthy donors were analysis of these antibodies by ELISA. Collected data were regrouped and analyzed by gender, smoking, and age as predictors of risk lung cancer factors. Also, the data of lung cancer patients were additionally analyzed by stages and types of lung cancer, surgery, and chemotherapy. It was suggested to use ratio of idiotypic and anti-idiotypic antibodies rather than distinguish level each of them separately. The ratio of levels in healthy people was 3.32 times higher than in lung cancer patients. This approach gave more precisely results and great prognostic value. The logistic regression model (AUC = 0.9) and neural networks (AUC = 0.95) were built to compare lung cancer patients and healthy donors by predictors. The ELISA data of 49 people random sampled from the originally ELISA data and ELISA data of 52 coal miners as a group of lung cancer risk were confirmed logistic regression model. So, suggested idiotypic and anti-idiotypic antibodies against polycyclic aromatic hydrocarbons were not only shown difference between healthy donors and lung cancer patients also elicited group of lung cancer risk among healthy people.
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