Peripheral blood immunoinflammatory biomarkers: prospective predictors of postoperative long-term survival and chronic postsurgical pain in breast cancer.

IF 5.9 2区 医学 Q1 IMMUNOLOGY Frontiers in Immunology Pub Date : 2025-01-29 eCollection Date: 2025-01-01 DOI:10.3389/fimmu.2025.1531639
Baoli Li, Li Che, Huixian Li, Fangdi Min, Bolun Ai, Linxin Wu, Taihang Wang, Peixin Tan, Bingbing Fu, Jiashuo Yang, Yi Fang, Hui Zheng, Tao Yan
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Abstract

Background: Tumor progression and chronic postsurgical pain (CPSP) in patients with breast cancer are both significantly influenced by inflammation. The associations between immunoinflammatory biomarkers and long-term survival, as well as CPSP, remain ambiguous. This study examined the predictive value of immunoinflammatory biomarkers for both long-term survival and CPSP.

Methods: Data on the clinicopathological characteristics and perioperative peripheral blood immunoinflammatory biomarkers of 80 patients who underwent breast cancer surgery were retrospectively collected. Optimal cut-off values for preoperative immunoinflammatory biomarkers, including the preoperative systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), neutrophil-to-lymphocyte ratio (NLR), and pan-immune-inflammation value (PIV), were established via receiver operating characteristic (ROC) curves. Kaplan-Meier curves and Cox regression analysis were used to evaluate the relationships between preoperative immunoinflammatory biomarkers and long-term survival. The relationships among the perioperative neutrophil count (NEU), monocyte count (MONO), lymphocyte count (LYM), platelet count (PLT), SII, SIRI, NLR, PIV, dynamic changes in peripheral blood cell counts, and CPSP were further assessed using logistic regression analysis.

Results: Kaplan-Meier curves revealed a considerable prolongation of disease-free survival (DFS) and overall survival (OS) in the low preoperative SII, SIRI, NLR, and PIV groups. Multivariate Cox regression analysis revealed that only an elevated preoperative SIRI was an independent risk factor for postoperative DFS (HR=8.890, P=0.038). The incidence of CPSP was 28.75%. Univariate logistic regression analysis revealed that body mass index (BMI), postoperative NEU, MONO, SIRI, and PIV were negatively correlated with the occurrence of CPSP, whereas subsequent multivariate logistic regression analysis revealed that only BMI was independently associated with CPSP (OR=0.262, P=0.023).

Conclusion: Elevated preoperative SIRI was an independent risk factor for poor DFS in breast cancer patients after surgery. In contrast, perioperative immunoinflammatory biomarkers had limited potential for predicting CPSP in patients who underwent breast cancer surgery.

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外周血免疫炎症生物标志物:乳腺癌术后长期生存和慢性术后疼痛的前瞻性预测因子
背景:乳腺癌患者的肿瘤进展和慢性术后疼痛(CPSP)均受炎症的显著影响。免疫炎症生物标志物与长期生存以及CPSP之间的关系尚不明确。本研究检验了免疫炎症生物标志物对长期生存和CPSP的预测价值。方法:回顾性收集80例乳腺癌手术患者的临床病理特征及围手术期外周血免疫炎症生物标志物。通过受试者工作特征(ROC)曲线确定术前免疫炎症生物标志物的最佳临界值,包括术前全身免疫炎症指数(SII)、全身炎症反应指数(SIRI)、中性粒细胞与淋巴细胞比值(NLR)和泛免疫炎症值(PIV)。采用Kaplan-Meier曲线和Cox回归分析评估术前免疫炎症生物标志物与长期生存的关系。采用logistic回归分析围手术期中性粒细胞计数(NEU)、单核细胞计数(MONO)、淋巴细胞计数(LYM)、血小板计数(PLT)、SII、SIRI、NLR、PIV与外周血细胞计数动态变化、CPSP之间的关系。结果:Kaplan-Meier曲线显示,术前低SII、SIRI、NLR和PIV组的无病生存期(DFS)和总生存期(OS)明显延长。多因素Cox回归分析显示,术前SIRI升高是术后DFS的独立危险因素(HR=8.890, P=0.038)。CPSP的发生率为28.75%。单因素logistic回归分析显示体重指数(BMI)、术后NEU、MONO、SIRI和PIV与CPSP的发生呈负相关,而随后的多因素logistic回归分析显示只有BMI与CPSP独立相关(OR=0.262, P=0.023)。结论:术前SIRI升高是乳腺癌患者术后生活质量差的独立危险因素。相比之下,围手术期免疫炎症生物标志物在预测乳腺癌手术患者的CPSP方面潜力有限。
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来源期刊
CiteScore
9.80
自引率
11.00%
发文量
7153
审稿时长
14 weeks
期刊介绍: Frontiers in Immunology is a leading journal in its field, publishing rigorously peer-reviewed research across basic, translational and clinical immunology. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. Frontiers in Immunology is the official Journal of the International Union of Immunological Societies (IUIS). Encompassing the entire field of Immunology, this journal welcomes papers that investigate basic mechanisms of immune system development and function, with a particular emphasis given to the description of the clinical and immunological phenotype of human immune disorders, and on the definition of their molecular basis.
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