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Global Translational Medicine                              Blood parameters for SCLC and AC relapse prognosis



            predict the development of the tumor recurrence but also   the Biomedical Ethics Committee of the educational
            to evaluate the effectiveness of the therapy.      institution “Belarusian State Medical University” (protocol
                                                               of the Committee meeting №2 dated 10/04/2021).
            5. Conclusion

            A regression equation has been developed to predict   Consent for publication
            the probability of tumor recurrence in patients with   Not applicable.
            Stage III SCLC based on measurements of CYFRA 21-1
            concentration, the proportion of lymphocytes expressing   Availability of data
            the CXCR1 receptor, and blood monocytes expressing the   Data used in this work can be made available to the readers
            CXCR2 receptor in the pre-operative period. If the result   by contacting the corresponding author.
            of the equation exceeds 0.417, the risk of relapse is high,
            and additional treatment measures are required to reduce   References
            it. The model’s PPV is 90.4%, NPV is 84.9%, sensitivity is   1.   Siegel RL, Miller KD, Wagle NS, Jemal A. Cancer statistics.
            84.9%, and specificity is 89.0%. Meanwhile, for the patients   CA Cancer J Clin. 2023;73(1):17-48.
            with Stage III AC, a different set of laboratory parameters
            (CYFRA 21-1 level, lymphocytes expressing the CXCR1      doi: 10.3322/caac.21763
            receptor, and the E/M ratio) can be incorporated into the   2.   Araghi M, Mannani R, Heidarnejad MA,  et al.  Recent
            logistic equation to improve the prognosis of relapse-free   advances in non-small cell lung cancer targeted therapy; an
            survival. If the result exceeds 0.597, the risk of relapse after   update review. Cancer Cell Int. 2023;23(1):162.
            the treatment is high. The model’s PPV is 89.6%, NPV is      doi: 10.1186/s12935-023-02990-y
            84.4%, sensitivity is 85.7%, and specificity is 94.8%.
                                                               3.   Lababede O, Meziane MA. The eighth edition of TNM
            Acknowledgments                                       staging of lung cancer: Reference  chart and  diagrams.
                                                                  Oncologist. 2018;23(7):844-848.
            We appreciate Professor Victor T. Malkevich, the head of the      doi: 10.1634/theoncologist.2017-0659
            Laboratory of Thoracic Oncopathology at N.N. Alexandrov
            National Cancer Center of Belarus, for his kind and fruitful   4.   Wu G, Pan B, Shi H, et al. Neutrophils’ dual role in cancer:
            cooperation and discussion on the study design.       From tumor progression to immunotherapeutic potential.
                                                                  Int Immunopharmacol. 2024;140:112788.
            Funding                                               doi: 10.1016/j.intimp.2024.112788
            The work was carried out with financial support from   5.   Carvalho S, Troost EG, Bons J, Menheere P, Lambin P,
            the Ministry of Health of the Republic of Belarus, grant   Oberije C. Prognostic value of blood-biomarkers related
            2.17/20220385.                                        to hypoxia, inflammation, immune response and tumour
                                                                  load in non-small cell lung cancer - a survival model with
            Conflict of interest                                  external validation. Radiother Oncol. 2016;119(3):487-494.
            The authors declare that they have no competing interests.     doi: 10.1016/j.radonc.2016.04.024
                                                               6.   Ha H, Debnath B, Neamati N. Role of the CXCL8-CXCR1/2
            Author contributions                                  axis in cancer and inflammatory diseases.  Theranostics.
            Conceptualization: Anatoli D. Tahanovich, Mikalai M.   2017;7(6):1543-1588.
               Kauhanka                                           doi: 10.7150/thno.15625
            Investigation: Anatoli D. Tahanovich, Mikalai M. Kauhanka,   7.   Wu K, Yu S, Liu Q, Bai X, Zheng X, Wu K. The clinical
               Alexander V. Kolb, Oxana V. Gotko                  significance of CXCL5 in non-small cell lung cancer. Onco
            Methodology: Anatoli D. Tahanovich, Mikalai M.        Targets Ther. 2017;10:5561-5573.
               Kauhanka, Violetta I. Prokhorova
            Writing–original draft: Anatoli D. Tahanovich, Mikalai M.      doi: 10.2147/OTT.S148772
               Kauhanka, Violetta I. Prokhorova                8.  Tahanovich  AD,  Kauhanka  NN,  Prohorova  VI,
            Writing–review & editing: Anatoli D. Tahanovich, Mikalai   Murashka DI, Gotko OV. Determination of the risk of tumor
               M. Kauhanka                                        progression in patients with early stages of adenocarcinoma
                                                                  and squamous cell lung carcinoma based on laboratory
            Ethics approval and consent to participate            parameters. Biochem Moscow Suppl Ser B. 2022;16:154-163.

            All patients gave written voluntary consent to participate      doi: 10.1134/S1990750822020081
            in the study. The study was approved by the decision of   9.   Tahanovich AD, Kauhanka NN, Kolb AV, et al. Prediction of


            Volume 3 Issue 4 (2024)                         12                              doi: 10.36922/gtm.4865
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