炎症生物标志物在预测颅底脊索瘤总体生存率和复发率方面的作用

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Meagan Hoppe, Zachary C. Gersey, Nallammai Muthiah, Hussein M. Abdallah, Tritan Plute, Hussam Abou-Al-Shaar, Eric W. Wang, Carl H. Snyderman, Georgios A. Zenonos, Paul A. Gardner
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引用次数: 0

摘要

目的:已有大量研究探讨了炎症因素对癌症的影响,但很少有人尝试对颅底脊索瘤(SBC)中的这些标记物进行研究。包括中性粒细胞-淋巴细胞比值(NLR)、血小板-淋巴细胞比值(PLR)、淋巴细胞-单核细胞比值(LMR)、全身免疫炎症指数(SII)和全身炎症反应指数(SIRI)在内的炎症值可作为各种癌症的预后指标。本研究旨在确定这些炎症因子是否会影响原发性SBC患者的总生存期(OS)或无进展生存期(PFS)。方法回顾性分析2001年至2020年期间接受切除术的原发性SBC患者的电子病历,以了解性别、诊断年龄、术前类固醇使用情况、肿瘤体积、切除范围、术后辅助放疗、肿瘤转移、Ki-67指数、9p23同源缺失百分比和1p36缺失百分比以及NLR、PLR、LMR、SII和SIRI等潜在预后炎症标志物与OS和PFS主要结局指标的相关性。在对阐明组的 OS 和 PFS 进行 Kaplan-Meier 和 Cox 比例危险度分析之前,使用最大对数秩统计检验确定炎症标志物分组阈值。73%的患者接受了大体全切除术,40%接受了术后放疗,25%出现局部复发,6%出现后续转移性疾病(平均随访47.2个月)。单变量 Cox 分析显示,NLR(p < 0.01)、PLR(p = 0.04)、LMR(p = 0.04)、SII(p < 0.01)和 SIRI(p < 0.01)与 PFS 独立相关。此外,NLR(p = 0.05)和 SII(p = 0.03)在 PFS 的多变量 Cox 分析中具有显著性。结论常规评估 NLR 和 SIRI 等炎症生物标志物可能对 SBC 切除术后患者有预后价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The utility of inflammatory biomarkers in predicting overall survival and recurrence in skull base chordoma
OBJECTIVE

Numerous studies have investigated the impact of inflammatory factors in cancer, yet few attempts have been made to investigate these markers in skull base chordoma (SBC). Inflammatory values including neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), lymphocyte-monocyte ratio (LMR), systemic immune inflammation index (SII), and systemic inflammation response index (SIRI) can serve as prognostic markers in various cancers. This study aimed to determine whether these inflammatory factors influence overall survival (OS) or progression-free survival (PFS) in patients with primary SBC.

METHODS

The electronic medical records of patients with primary SBC who underwent resection from 2001 to 2020 were retrospectively reviewed for the associations of sex, age at diagnosis, preoperative steroid use, tumor volume, extent of resection, adjuvant radiation after surgery, tumor metastasis, Ki-67 index, percent homozygous deletion of 9p23 and percent 1p36 loss, and potential prognostic inflammatory markers of NLR, PLR, LMR, SII, and SIRI with the primary outcome measures of OS and PFS. Maximum log-rank statistical tests were used to determine inflammatory marker thresholds for grouping prior to Kaplan-Meier and Cox proportional hazards analysis for OS and PFS of the elucidated groups.

RESULTS

The cohort included 115 primary SBC patients. The mean ± SD tumor volume was 23.0 ± 28.0 cm3, 73% of patients received gross-total resection, 40% received postoperative radiation, 25% had local recurrence, and 6% had subsequent metastatic disease (mean follow-up 47.2 months). Univariable Cox analysis revealed that NLR (p < 0.01), PLR (p = 0.04), LMR (p = 0.04), SII (p < 0.01), and SIRI (p < 0.01) were independently associated with PFS. Additionally, NLR (p = 0.05) and SII (p = 0.03) were significant in multivariable Cox analysis of PFS. However, both univariable and multivariable Cox analysis revealed no correlations with OS.

CONCLUSIONS

The routine assessment of inflammatory biomarkers such as NLR and SIRI could have prognostic value in postresection SBC patients.

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CiteScore
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