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Association between Systemic Immune-Inflammation Indices, Serum TK1 Levels and Clinical Prognosis in Gastric Cancer Patients
Vol 37, Issue 8, 2023
Abstract
Background: Gastric cancer (GC) is characterized by high malignancy and poor clinical prognosis. The identification of reliable prognostic indicators is crucial for assessing the condition of GC patients and developing evidence-based treatment strategies. Methods: This retrospective study analyzed clinical data from 168 GC patients at Wuhan Xinzhou District Peoples Hospital between February 2015 and February 2017. Thymidine kinase 1 (TK1) was detected, and systemic immune-inflammation indices (SII) were calculated for each patient. Receiver operating characteristic (ROC) curve analysis determined the cut-off values for SII and TK1, while Kaplan-Meier survival curves and logistic regression analysis identified factors impacting the clinical prognosis of GC patients. Results: Tumor size, tumor-node-metastasis (TNM) staging, lymph node metastasis, SII, and TK1 were significant factors influencing the 5-year survival rate of GC patients (p < 0.001), while gender, age, lesion location, and surgery did not significantly affect the 5-year survival rate (p > 0.05). Using a cut-off value of 781.985 for SII, patients were categorized into low and high SII groups, with the low SII group displaying longer survival time (p < 0.001). Similarly, a cut-off value of 2.445 for TK1 divided patients into low and high TK1 groups, with the low TK1 group exhibiting longer survival time (p < 0.001). Logistic regression analysis indicated that SII, TK1, and lymph node metastasis were independent factors affecting the prognosis of GC patients (p < 0.05). Conclusion: The lymph node metastasis, SII and TK1 are the key factors affecting the clinical prognosis of GC patients. It is believed that the changes in the patients conditions can be predicted by monitoring the levels of SII and TK1, which can provide guidance for implementing the treatment and intervention measures, thus prolonging the survival period of patients.
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Copyright (c) 2023 Jinxi Lu, Hongmei Yu, Xia Tao
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Medical Genetics, University of Torino Medical School, Italy

Department of Biomedical, Surgical and Dental Sciences, University of Milan, Italy