{"title":"Prognostic significance of SIRI in patients with late-stage lung adenocarcinoma receiving EGFR-TKI treatment","authors":"Herong Wang , Wei Li","doi":"10.1016/j.currproblcancer.2024.101099","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><p>In this study, we examined the relationship between the Systemic Inflammatory Response Index (SIRI) and the overall prognosis of patients with late-stage lung adenocarcinoma who harbor epidermal growth factor receptor (EGFR) mutations and are undergoing first-line treatment with EGFR-tyrosine kinase inhibitors (EGFR-TKIs).</p></div><div><h3>Methods</h3><p>A cohort comprising 52 patients with late-stage lung adenocarcinoma, who received treatment at Jinzhou Central Hospital between January 2018 and December 2022, were carefully selected. Patient data spanning from pre-treatment assessments through follow-up periods were meticulously collected from electronic medical records and subsequently subjected to a comprehensive retrospective analysis. The collected data was subjected to in-depth processing and analyzed using SPSS 27.0 statistical software. To determine the optimal cut-off value of the pre-treatment SIRI, a receiver operating characteristic (ROC) curve was employed. Survival analysis was performed using the Kaplan-Meier method, and both univariate and multivariate prognostic analyses were conducted using Cox regression.</p></div><div><h3>Results</h3><p>The optimal SIRI cut-off value was determined to be 1.659 (with a specificity of 0.964 and sensitivity of 0.652, <em>P</em> = 0.000). Based on this value, patients were categorized into high and low SIRI groups. Chi-squared tests demonstrated that SIRI exhibited statistically significant correlations with patient age and smoking history (<em>P</em> < 0.05). Survival analysis revealed that the group with a lower SIRI had a significantly extended progression-free survival (PFS) (<em>P</em> < 0.001). Cox univariate analysis identified hypertension, pleural metastasis, liver metastasis, and SIRI as factors associated with PFS (<em>P</em> < 0.05). In the subsequent multivariate analysis, liver metastasis and SIRI ≥ 1.659 (<em>P</em> < 0.001) were identified as independent risk factors for patients.</p></div><div><h3>Conclusion</h3><p>Pre-treatment SIRI holds predictive significance for the prognosis of patients with late-stage lung adenocarcinoma with EGFR mutations undergoing first-line treatment EGFR-TKI treatment.</p></div>","PeriodicalId":55193,"journal":{"name":"Current Problems in Cancer","volume":"50 ","pages":"Article 101099"},"PeriodicalIF":2.5000,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Problems in Cancer","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0147027224000400","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Objective
In this study, we examined the relationship between the Systemic Inflammatory Response Index (SIRI) and the overall prognosis of patients with late-stage lung adenocarcinoma who harbor epidermal growth factor receptor (EGFR) mutations and are undergoing first-line treatment with EGFR-tyrosine kinase inhibitors (EGFR-TKIs).
Methods
A cohort comprising 52 patients with late-stage lung adenocarcinoma, who received treatment at Jinzhou Central Hospital between January 2018 and December 2022, were carefully selected. Patient data spanning from pre-treatment assessments through follow-up periods were meticulously collected from electronic medical records and subsequently subjected to a comprehensive retrospective analysis. The collected data was subjected to in-depth processing and analyzed using SPSS 27.0 statistical software. To determine the optimal cut-off value of the pre-treatment SIRI, a receiver operating characteristic (ROC) curve was employed. Survival analysis was performed using the Kaplan-Meier method, and both univariate and multivariate prognostic analyses were conducted using Cox regression.
Results
The optimal SIRI cut-off value was determined to be 1.659 (with a specificity of 0.964 and sensitivity of 0.652, P = 0.000). Based on this value, patients were categorized into high and low SIRI groups. Chi-squared tests demonstrated that SIRI exhibited statistically significant correlations with patient age and smoking history (P < 0.05). Survival analysis revealed that the group with a lower SIRI had a significantly extended progression-free survival (PFS) (P < 0.001). Cox univariate analysis identified hypertension, pleural metastasis, liver metastasis, and SIRI as factors associated with PFS (P < 0.05). In the subsequent multivariate analysis, liver metastasis and SIRI ≥ 1.659 (P < 0.001) were identified as independent risk factors for patients.
Conclusion
Pre-treatment SIRI holds predictive significance for the prognosis of patients with late-stage lung adenocarcinoma with EGFR mutations undergoing first-line treatment EGFR-TKI treatment.
期刊介绍:
Current Problems in Cancer seeks to promote and disseminate innovative, transformative, and impactful data on patient-oriented cancer research and clinical care. Specifically, the journal''s scope is focused on reporting the results of well-designed cancer studies that influence/alter practice or identify new directions in clinical cancer research. These studies can include novel therapeutic approaches, new strategies for early diagnosis, cancer clinical trials, and supportive care, among others. Papers that focus solely on laboratory-based or basic science research are discouraged. The journal''s format also allows, on occasion, for a multi-faceted overview of a single topic via a curated selection of review articles, while also offering articles that present dynamic material that influences the oncology field.