Yang Fei-Ran, Li Hong-Lin, Hu Xi-Wen, Sha Rui, Li Hui-Jie
College of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, People's Republic of China.
Department of Oncology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Wenhuaxi Road, Jinan, 250011, Shandong, People's Republic of China.
Sci Rep. 2025 Apr 30;15(1):15151. doi: 10.1038/s41598-025-99790-3.
Inflammatory responses play a critical regulatory role in the development and progression of cancer. As a novel inflammatory marker, the association between the systemic inflammation response index (SIRI) and mortality among cancer survivors remains unclear. This study aims to elucidate the relationship between the SIRI and all-cause mortality among cancer survivors in the United States. This study utilized continuous data from the National Health and Nutrition Examination Survey (NHANES) from 2001 to 2018, with follow-up data available through December 31, 2019. All patients were divided into four groups based on their SIRI values. Cox proportional-hazards regression models, Kaplan-Meier survival curves, and restricted cubic splines (RCS) combined with Cox proportional hazards models were applied to investigate the relationship between SIRI and cancer survival rates. Additionally, sensitivity and subgroup analyses were conducted to test the robustness of the results. A total of 3733 cancer survivors were included in this study. During a median follow-up period of 119 months, 1217 deaths occurred, resulting in an all-cause mortality rate of 32.57%. The results of the Cox proportional-hazards regression model showed that compared to the low SIRI group, the highest SIRI group had a higher risk of mortality (HR 1.52; 95% CI 1.28, 1.81). Additionally, the Kaplan-Meier curve indicated that participants with higher SIRI values had a higher all-cause mortality rate. The RCS model indicated a nonlinear positive correlation between SIRI values and all-cause mortality. The sensitivity analysis demonstrated that the study results remained consistent without significant changes after excluding participants who died within the first two years of follow-up. The subgroup analysis showed that SIRI was associated with all-cause mortality across different demographic characteristics (including gender, marital status, history of hypertension, and diabetes) as well as cancer types (lung cancer, breast cancer, colorectal cancer, skin cancer, and prostate cancer). In conclusion, our study reveals a significant association between SIRI and all-cause mortality among cancer survivors in the United States, which helps identify cancer survivors at higher risk of death and highlights its important prognostic value in oncology.
炎症反应在癌症的发生和发展过程中发挥着关键的调节作用。作为一种新型炎症标志物,全身炎症反应指数(SIRI)与癌症幸存者死亡率之间的关联尚不清楚。本研究旨在阐明美国癌症幸存者中SIRI与全因死亡率之间的关系。本研究利用了2001年至2018年美国国家健康与营养检查调查(NHANES)的连续数据,随访数据截至2019年12月31日。所有患者根据其SIRI值分为四组。应用Cox比例风险回归模型、Kaplan-Meier生存曲线以及受限立方样条(RCS)结合Cox比例风险模型来研究SIRI与癌症生存率之间的关系。此外,还进行了敏感性和亚组分析以检验结果的稳健性。本研究共纳入3733名癌症幸存者。在中位随访期119个月期间,发生了1217例死亡,全因死亡率为32.57%。Cox比例风险回归模型的结果显示,与低SIRI组相比,最高SIRI组的死亡风险更高(风险比1.52;95%置信区间1.28,1.81)。此外,Kaplan-Meier曲线表明,SIRI值较高的参与者全因死亡率更高。RCS模型表明SIRI值与全因死亡率之间存在非线性正相关。敏感性分析表明,排除随访前两年内死亡的参与者后,研究结果保持一致,无显著变化。亚组分析显示,SIRI与不同人口统计学特征(包括性别、婚姻状况、高血压病史和糖尿病史)以及癌症类型(肺癌、乳腺癌、结直肠癌、皮肤癌和前列腺癌)的全因死亡率相关。总之,我们的研究揭示了美国癌症幸存者中SIRI与全因死亡率之间存在显著关联,这有助于识别死亡风险较高的癌症幸存者,并突出了其在肿瘤学中的重要预后价值。