首页|乳酸脱氢酶与白蛋白比值及免疫炎症生物标志物预测转移性结直肠癌预后的临床意义

乳酸脱氢酶与白蛋白比值及免疫炎症生物标志物预测转移性结直肠癌预后的临床意义

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目的 探讨乳酸脱氢酶与白蛋白比值(LAR)及免疫炎症生物标志物在转移性结直肠癌(mCRC)预后中的作用.方法 回顾性分析 2017 年 1 月至 2020 年 12 月首都医科大学大兴医院对连续确诊为mCRC患者的临床数据和随访资料.采用受试者工作特性(ROC)曲线确定中性粒细胞/淋巴细胞比值(NLR)、血小板/淋巴细胞比值(PLR)、营养预后指数(PNI)和LAR预测预后的最佳截断值.根据是否接受贝伐珠单抗作为一线治疗,患者分为化疗+贝伐珠单抗(CT+B)组和化疗(CT)组.采用Kaplan-Meier方法绘制生存曲线,生存差异行Log-rank检验.采用Cox风险比例回归模型分析影响转移性结直肠癌总生存时间(OS)和无进展生存时间(PFS)的因素.结果 ROC曲线显示PLR、NLR、PNI和LAR诊断mCRC患者OS的最佳截断值分别为 140.63、2.81、45.85 和 4.0.单因素Cox风险比例回归模型结果显示,吸烟史、多器官转移、PLR≥140.63、NLR≥2.81、LAR≥4.0、年龄和原发灶切除是影响OS的因素(P<0.05);吸烟史、多器官转移、PLR≥140.63、NLR≥2.81、LAR≥4.0 是影响PFS的因素(P<0.05).结合NLR和LAR开发新的风险预测模型,将患者分为:低风险(0 因素:NLR<2.81 和LAR<4.0)、中风险(1 个因素:NLR≥2.81 或LAR≥4.0)和高风险(2 个因素:NLR≥2.81 和LAR≥4.0).多因素Cox风险预测模型显示了全体或CT+B一线治疗患者亚群OS和PFS的独立预后因素(P<0.05).中低风险患者CT+B一线治疗比CT一线治疗可获得更长的中位OS(42.50 个月 vs.29.50 个月,P=0.013)和中位PFS(44.50 个月 vs.23.50 个月,P<0.001);高风险患者的OS和PFS差异无统计学意义(P=0.724,0.483).结论 预处理LAR和NLR可以作为mCRC患者一线CT的生存结局的良好指标,并且基于NLR和LAR建立的风险预测模型可能预测贝伐珠单抗对中低风险患者一线CT的临床益处.
The clinical significance of lactate dehydrogenase-albumin ratio and immunoinflammatory biomarkers in predicting prognosis of metastatic colorectal cancer
Objective To investigate the role of lactate dehydrogenase to albumin ratio(LAR)and immunoinflammatory biomarkers in the prognosis of metastatic colorectal cancer(mCRC).Methods Clinical data and follow-up data of patients diagnosed with mCRC from Daxing Hospital of Capital Medical University from January 2017 to December 2020 were retrospectively analyzed.Receiver operating characteristic(ROC)curves were used to determine the optimal cut-off values for neutrophil/lymphocyte ratio(NLR),platelet/lymphocyte ratio(PLR),nutritional prognosis index(PNI)and LAR for predicting prognosis.Patients were divided into chemotherapy + bevacizumab(CT+B)and chemotherapy(CT)groups depending on whether they received bevacizumab as first-line therapy.Kaplan-Meier method was used to analyze and draw the survival curve,and the survival difference was tested by Log-rank.Factors affecting overall survival(OS)and progression-free survival(PFS)of metastatic colorectal cancer were analyzed by Cox proportional regression model.Results The ROC curve showed that the best truncation values of PLR,NLR,PNI and LAR for OS diagnosis in mCRC patients were 140.63,2.81,45.85 and 4.0,respectively.Single-factor Cox proportional regression model showed that smoking history,multiple organ metastasis,PLR≥140.63,NLR≥2.81,LAR≥4.0,age and primary resection were the factors influencing OS(P<0.05).Smoking history,multiple organ metastasis,PLR≥140.63,NLR≥2.81,LAR≥4.0 were the factors affecting PFS(P<0.05).A new risk prediction model was developed combining NLR and LAR to classify patients into:low risk(0 factors:NLR<2.81 and LAR<4.0),medium risk(1 factor:NLR≥2.81 or LAR≥4.0),and high risk(2 factors:NLR≥2.81 and LAR≥4.0).Multivariate Cox risk prediction models showed independent prognostic factors for OS and PFS in the overall or CT+B first-line treatment subpopulation(P<0.05).The median OS(42.50 months vs.29.50 months,P=0.013)and PFS(44.50 months vs.23.50 months,P<0.001)were significantly longer in low-risk patients treated with first-line CT+B than with first-line CT.There was no significant difference in OS and PFS among high-risk patients(P=0.724,0.483).Conclusion Pre-treated LAR and NLR can be good indicators of survival outcomes of first-line CT in patients with mCRC,and risk prediction models based on NLR and LAR may be able to predict the clinical benefit of bevacizumab on first-line CT in patients with moderate and low risk.

Metastatic colorectal cancerBevacizumabFirst-line chemotherapyPrognosisLactate dehydrogenase to albumin ratio

赵金、黄涛、刘鑫

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102600 北京 首都医科大学大兴医院普外科

转移性结直肠癌 贝伐珠单抗 一线化疗 预后 乳酸脱氢酶与白蛋白比值

2024

临床肿瘤学杂志
解放军第八一医院

临床肿瘤学杂志

CSTPCD
影响因子:1.583
ISSN:1009-0460
年,卷(期):2024.29(3)
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