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Global Translational Medicine                              Blood parameters for SCLC and AC relapse prognosis




            Table 8. Diagnostic significance of determining low and high risk of recurrence of AC (ROC analysis data)
            Indicator                       TV         SE        SP       PPV       NPV        AUC        ACC
            CXCR1, lymphocytes, %          >2.55      66.2      84.4      81.8       70.1      0.715      75.3
            CYFRA 21-1, ng/mL              >4.16      71.4      74.0      75.3       70.1      0.709      72.7
            Monocytes, ×10 /L              >0.77      66.2      63.6      66.2       63.6      0.627      64.9
                      9
                               9
            Eosinophilic  leukocytes, ×10 /L  >0.24   62.3      74.0      72.7       63.6      0.651      67.5
            Eosinophilic  leukocytes/Monocytes  >0.313  76.6    63.6      70.1       70.1      0.673      70.1
            Z                              >0.597     85.7      94.8      89.6       84.4      0.841      89.0
            Abbreviations: TV: Threshold value; SE: Sensitivity; SP: Specificity; PPV: Positive predictive value; NPV: Negative predictive value; AUC: Area under
            ROC-curve; ACC: Accuracy; CXCR1: C-X-C motif chemokine receptor 1; CYFRA 21-1: Cytokeratin 19 fragment antigen 21-1.

 AQ2  Figure 1. Relapse-free survival of patients with Stage III squamous cell   the obtained threshold value Z = 0.597, is demonstrated
 lung cancer (A and B) and adenocarcinoma (C and D), stratified by the   by the Kaplan-Meier graph of the survival of patients with
 TNM classifications over the course of 12 months after the treatment.  Stage III AC before progression (Figure 3).
 Figure 2. Relapse-free survival of patients with Stage III squamous cell
 lung cancer according to the results of the regression equation Y  The analysis of the quality of the logistic regression
 Figure 3. Relapse-free survival of patients with Stage III adenocarcinoma   equation (2) shows that all the selected indicators make
 according to the results of the regression equation Z
            a significant contribution. This is demonstrated by the
            significant decrease in the negative doubled value of the
            logarithm of the likelihood function (Δ = 35.1, P < 0.05),
            indicating the good quality of the proposed model. This is
            also evidenced by the Hosmer–Lemeshev goodness-of-fit
            criterion, which was calculated to be 12.1 (P  = 0.158).
            The P > 0.05 confirms the consistency of the regression
            equation in classifying patients as having low or high risks
            of tumor occurrence in AC.
                                                               Figure 3. Relapse-free survival of patients with Stage III adenocarcinoma
            4. Discussion                                      according to the results of the regression equation Z.
            The prognosis for patients with Stage III (T1-4N0-2)
            NSCLC remains poor, with their overall five-year survival   It is evident that to obtain such information, cohort
            after treatment varying and the median not exceeding   studies focusing on patients with relatively homogeneous
            20 months.  It is vital to anticipate disease progression, not   characteristics  and  individual  histological  subtypes  of
                     1-3
            only to save time but also to reduce treatment expenditures   NSCLC are required. The scarcity of information on
            by switching to alternative therapeutic strategies.  One of   biomarkers prompted us to conduct our own retrospective
                                                  2,15
            the approaches to optimizing the effectiveness of treatment   and prospective study involving patients with Stage III (T1-
            in this category of patients is the ability to predict those at   4N0-2) SCLC and AC. Based on the pathogenesis of these
            high risk of relapse. Despite the relevance and motivation   tumors, we decided to investigate blood cells parameters
            of researchers, prognostic markers of NSCLC remain   and proteins, including the CXCR1 and CXCR2 receptors,
            controversial. As has been demonstrated, the impacts of   as well as their ligands, the proinflammatory cytokines
            these prognostic markers are influenced by the histological   CXCL5 and CXCL8.
            type of  the tumor, the  disease stage, and the  treatment
            regimen employed. 17-19,22  However, there is no information   First, Kaplan-Meier survival analysis of the results from
            regarding the use of prognostic markers for patients with   one year of retrospective observation showed a significant
            Stage III NSCLC, specifically for the two main histological   difference in relapse-free survival between patients with
            types: AC and SCLC.                                tumor descriptors T4N1M0 and T4N2M0 in SCLC and AC
                                                               (high risk of recurrence) and those with other combination
              Nevertheless, most researchers have observed a   of TNM descriptors (T1N2M0, T3N1M0, T2N2M0,
            correlation between the concentration of CYFRA 21-1 in   T4N0M0, and T3N2M0) (low risk of recurrence).
            blood serum and both relapse-free and overall survival in
            patients with advanced stages of NSCLC. However, these   Then, the results of the TNM stratification were used
            studies analyzed a mixed cohorts in terms of the disease   in the study group to compare the levels of 42 detectable
            stage, including patients at early stages of the disease. 3,9,10    laboratory parameters between patients with high and low


            Volume 3 Issue 4 (2024)                         10                              doi: 10.36922/gtm.4865
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