Weng Yinlun, Zhang Xueyuan, Han Jingjing, Ouyang Leping, Liang Mingqin, Shi Zhongsong, Liu Anmin, Cai Wangqing
Department of Neurosurgery, Sun Yat-sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Department of Otolaryngology, Sun Yat-sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
World Neurosurg. 2018 Oct;118:e137-e146. doi: 10.1016/j.wneu.2018.06.142. Epub 2018 Jun 26.
The tumor microenvironment is partially characterized by a state of chronic inflammation, and radiologic features are related to the tumor's biological behavior. This study was conducted to explore whether peripheral blood inflammatory markers combined with radiologic features could predict proliferation potency.
This study retrospectively reviewed 183 patients with a primary diagnosis of glioma. Clinical characteristics, preoperative peripheral full blood count data, and brain magnetic resonance imaging findings were reviewed to analyze the expression of inflammatory markers neutrophil lymphocyte ratio (NLR), monocyte lymphocyte ratio, and platelet lymphocyte ratio (PLR), as well as radiologic features such as location, peritumor edema, and contrast enhancement. Immunohistochemical staining was performed to determine the proliferation index (i.e., expression of Ki-67). Receiver operating characteristic curves for cutoff value, various bivariate tests, and binary logistic regression analyses were applied.
Proliferation index was highly associated with tumor grade, showing a gradually increasing tendency. A Ki-67 cutoff value >9% predicted high-grade glioma (HGG). Mean NLR and PLR were significantly higher in the HGG group compared with the low-grade glioma group (NLR: 3.11 ± 0.59 vs. 4.27 ± 1.13; PLR: 133.07 ± 13.17 vs. 161.51 ± 38.99; P < 0.01 for both). Contrast enhancement was more likely in the HGG group, but there was no significant between-group difference in peritumor edema. Logistic regression analysis identified the following risk factors for prediction of proliferation potency: age, Karnofsky Performance Score, NLR, PLR, and contrast enhancement. However, age >43 years, NLR >3.68, and positive contrast enhancement independently predicted a higher proliferation rate.
NLR and contrast enhancement were positively correlated with the proliferation potency of gliomas.
肿瘤微环境部分特征表现为慢性炎症状态,且放射学特征与肿瘤的生物学行为相关。本研究旨在探讨外周血炎症标志物联合放射学特征是否能够预测增殖潜能。
本研究回顾性分析了183例原发性胶质瘤患者。回顾临床特征、术前外周全血细胞计数数据以及脑磁共振成像结果,以分析炎症标志物中性粒细胞淋巴细胞比值(NLR)、单核细胞淋巴细胞比值和血小板淋巴细胞比值(PLR)的表达情况,以及诸如肿瘤位置、瘤周水肿和强化等放射学特征。进行免疫组织化学染色以确定增殖指数(即Ki-67的表达)。应用受试者工作特征曲线来确定临界值、各种双变量检验以及二元逻辑回归分析。
增殖指数与肿瘤分级高度相关,呈逐渐上升趋势。Ki-67临界值>9%可预测高级别胶质瘤(HGG)。与低级别胶质瘤组相比,HGG组的平均NLR和PLR显著更高(NLR:3.11±0.59对4.27±1.13;PLR:133.07±13.17对161.51±38.99;两者P均<0.01)。HGG组更可能出现强化,但瘤周水肿在组间无显著差异。逻辑回归分析确定了以下预测增殖潜能的危险因素:年龄、卡氏功能状态评分、NLR、PLR和强化。然而,年龄>43岁、NLR>3.68以及强化阳性独立预测更高的增殖率。
NLR和强化与胶质瘤的增殖潜能呈正相关。