@article{
author = "Jovanović, Dragana and Roksandić-Milenković, Marina and Kotur-Stevuljević, Jelena and Ceriman, Vesna and Vukanić, Ivana and Samardžić, Natalija and Popević, Spasoje and Ilić, Branislav and Gajić, Milija and Simon, Marioara and Simon, Ioan and Spasojević-Kalimanovska, Vesna and Belić, Milica and Mirkov, Damjan and Šumarac, Zorica and Milenković, Vladislav",
year = "2019",
abstract = "Background: The objective of this prospective study was to evaluate whether soluble programmed cell death-1/programmed cell death-ligand 1 (PD-1/PD-L1) and serum amyloid A1 (SAA1) are potential diagnostic, predictive or prognostic biomarkers in lung cancer. Methods: Lung cancer patients (n=115) with advanced metastatic disease, 101 with non-small cell lung cancer, NSCLC (77 EGFR wild-type NSCLC patients on chemotherapy, 15 EGFR mutation positive adenocarcinoma patients, 9 patients with mPD-L1 Expression >= 50% NSCLC - responders to immunotherapy), and 14 patients with small cell lung cancer (SCLC) were examined. ELISA method was used to determine sPD-L1 and SAA1 concentrations in patients' plasma. Results: Significantly higher blood concentrations of sPD-L1 and SAA1 were noted in lung cancer patients compared with a healthy control group. In PD-L1 + NSCLC patients, a significantly higher sPD-L1 level was noticed compared to any other lung cancer subgroup, as well as the highest average SAA1 value compared to other subgroups. Conclusions: It seems that sPD-1/PD-L1 might be a potential biomarker, prognostic and/or predictive, particularly in patients treated with immunotherapy. Serum amyloid A1 has potential to act as a good predictor of patients' survival, as well as a biomarker of a more advanced disease, with possibly good capability to predict the course of disease measured at different time points.",
publisher = "Društvo medicinskih biohemičara Srbije, Beograd i Versita",
journal = "Journal of Medical Biochemistry",
title = "Soluble sPD-L1 and serum amyloid A1 as potential biomarkers for lung cancer",
volume = "38",
number = "3",
pages = "332-341",
doi = "10.2478/jomb-2018-0036"
}