Page 82 - GTM-2-4

Global Translational Medicine Prognosis of relapse in squamous cell lung cancer

Table 1. Characteristics of patients included in the study For this analysis, 100 μl of blood and a solution containing
a mixture of antibodies with fluorescent labels were
Characteristics Frequency combined in a test tube. The antibodies included CD44v6-
(n [%])
Number of patients (N) 57 FITC (Sigma-Aldrich, USA), CD182(CXCR2)-PE
(BioLegend, USA), and CD45-Pacific Orange (Exbio,
Age (M±σ years) 58±20.5 Czech Republic). Following a 15-min incubation in the
<40 2 (3.5) dark with these fluorescent-labeled antibodies, 1 ml of
41–50 9 (15.8) VersaLyse lysis solution (Beckman Coulter, France) was
51–60 27 (47.4) added to the mixture. Antibodies were then fixed on the
61–70 14 (24.6) cell surface using the IQTest3 fixing solution (Beckman
>70 5 (8.7) Coulter, France).
Gender (male/female) 32/25 2.5. Statistical analysis
Smoking status (male, former/current/never) 7/23/2 To determine the relationship between the duration of the
Smoking status (female, former/current/never) 5/17/3 relapse-free period and observation time, Kaplan–Meier
Tumor characteristics plots were constructed. Group comparisons based on
Stage (based on the eighth edition of TNM different relapse-free survival durations were performed
2
staging of lung cancer) using the log-rank test and Chi-square (χ ). The relationship
I 21 (36.8) between changes in the level of measured indicators and
II 36 (63.2) survival was assessed through uni- and multivariate Cox
Prevalence of the tumor process proportional hazards models.
T1 15 (26.4) The integral information content of laboratory tests was
T2a 21 (36.8) assessed using the method of constructing characteristic
T2b 13 (22.8) receiver operating characteristic (ROC) curves, followed
by the calculation of the area under the ROC curve
T3 8 (14.0) (AUC). Prognostic values of the analyzed indicators
Damage to regional lymph nodes were determined by calculating sensitivity, specificity,
N0 37 (64.9) positive predictive value (PPV), negative predictive value
N1 20 (35.1) (NPV), and test accuracy. These calculations involved
Degree of tumor differentiation the true positive, true negative, false positive, and false
G I 11 (19.3) negative results of the test, following generally accepted
formulas . The threshold value was determined as the
[11]
G II 29 (50.9) optimal combination of sensitivity and specificity when
G III 17 (29.8) constructing sensitivity curves versus the probability of
Localization false-positive results.
Right lung 33 (57.9) The combined model for predicting the probability of
Left lung 24 (42.1) NSCLC relapse integrated the results of calculating the
Median recurrence-free survival (months) 25.3 regression equation (Y), which included the concentration
of SCC antigen in blood serum (X1), percentages of
lymphocytes with CXCR2 (X2), and monocytes with
Serum was obtained by placing blood into a tube with CD44v6 (X3) in the populations of these blood cells :
[6]
thrombin and separating gel. − exp( +0,492 0,306 X 1 + × 0,759 X 2 + ×0,917 X 3)
×
2.4. Analysis of samples Y = + − 1 exp( +0,492 0,306 X 1 + × 0,759 X 2 + ×0,917 X 3)
×
The concentration of SCC antigen in blood serum was (I)
determined using the electrochemiluminescent method
on a Cobas e411 automated analyzer (Roche Diagnostics For all types of statistical analyses, the critical value of
GmbH, Germany) using original Elecsys SCC kits (Roche the significance level was set at 5%.
Diagnostics GmbH, Germany). To assess the concentration 3. Results
of CXCR2 and CD44v6 receptors in leukocyte cells and the
density of their location in the cell membrane, a Navios In the majority of patients (42 out of 57), 3 weeks after
flow cytometer (Beckman Coulter, USA) was employed. surgical tumor removal, the level of SCC antigen, the

Volume 2 Issue 4 (2023) 3 https://doi.org/10.36922/gtm.2209