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Serum biomarkers and risk of hepatocellular carcinoma recurrence after liver transplantation 被引量:12
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作者 Maria J Citores Jose L Lucena +1 位作者 Sara de la Fuente Valentin Cuervas-Mons 《World Journal of Hepatology》 CAS 2019年第1期50-63,共14页
Liver transplantation(LT) is the only potentially curative treatment for selected patients with cirrhosis and hepatocellular carcinoma(HCC) who are not candidates for resection. When the Milan criteria are strictly ap... Liver transplantation(LT) is the only potentially curative treatment for selected patients with cirrhosis and hepatocellular carcinoma(HCC) who are not candidates for resection. When the Milan criteria are strictly applied, 75% to85%of 3-to 4-year actuarial survival rates are achieved, but up to 20% of the patients experience HCC recurrence after transplantation. The Milan criteria are based on the preoperative tumor macromorphology, tumor size and number on computed tomography or magnetic resonance imaging that neither correlate well with posttransplant histological study of the liver explant nor accurately predict HCC recurrence after LT, since they do not include objective measures of tumor biology. Preoperative biological markers, including alpha-fetoprotein, desgamma-carboxiprothrombin or neutrophil-to-lymphocyte ratio and platelet-tolymphocyte ratio, can predict the risk for HCC recurrence after transplantation.These biomarkers have been proposed as surrogate markers of tumor differentiation and vascular invasion, with varied risk magnitudes depending on the defined cutoffs. Different studies have shown that the combination of one or several biomarkers integrated into prognostic models predict the risk of HCC recurrence after LT more accurately than Milan criteria alone. In this review, we focus on the potential utility of these serum biological markers to improve the performance of Milan criteria to identify patients at high risk of tumoral Published online: January 27, 2019 recurrence after LT.Liver transplantation(LT) is the only potentially curative treatment for selected patients with cirrhosis and hepatocellular carcinoma(HCC) who are not candidates for resection. When the Milan criteria are strictly applied, 75% to85%of 3-to 4-year actuarial survival rates are achieved, but up to 20% of the patients experience HCC recurrence after transplantation. The Milan criteria are based on the preoperative tumor macromorphology, tumor size and number on computed tomography or magnetic resonance imaging that nei 展开更多
关键词 HEPATOCELLULAR carcinoma Liver transplantation RECURRENCE Selection criteria PROGNOSTIC SCORE Biomarker ALPHA-FETOPROTEIN systemic inflammatory marker
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术前PNI、SII、SIM和白蛋白对牙龈癌患者术后生存的预测价值 被引量:3
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作者 夏晓芳 张文颖 +2 位作者 袁海花 刘峰 姜斌 《现代肿瘤医学》 CAS 北大核心 2022年第12期2156-2163,共8页
目的:探讨术前预后营养指数(prognostic nutritional index,PNI)、炎症指数(system inflammation index,SII)、系统炎性标志物(systemic inflammatory marker,SIM)和白蛋白与牙龈癌患者预后的关系。方法:回顾性分析2014年12月至2017年1... 目的:探讨术前预后营养指数(prognostic nutritional index,PNI)、炎症指数(system inflammation index,SII)、系统炎性标志物(systemic inflammatory marker,SIM)和白蛋白与牙龈癌患者预后的关系。方法:回顾性分析2014年12月至2017年11月在我院首次接受根治性手术切除的200例牙龈癌患者的临床和随访资料。通过受试者工作特征(receiver operating characteristic curve,ROC)曲线确定PNI、SII、SIM和白蛋白预测牙龈癌预后的最佳临界值。采用χ^(2)检验分析术前PNI、SII、SIM和白蛋白与临床特征的关系。采用Kaplan-Meier法和Cox回归模型对牙龈癌患者预后影响因素进行单因素和多因素分析。结果:通过ROC曲线确定PNI、SII和SIM和白蛋白预测生存的最佳临界点分别为46.03、478.37、1.02和40.5 g/L。Cox多因素分析提示较晚的TNM分期(HR 2.873;95%CI 1.598~5.166;P<0.0001)、较低的PNI值(HR 0.414;95%CI 0.223~0.770;P=0.005)、较高的SIM值(HR 2.391;95%CI 1.329~4.299;P=0.004)以及低水平的白蛋白(HR 0.425;95%CI 0.203~0.888;P=0.023)是牙龈癌患者术后3年总生存期的独立危险因素,而较晚的TNM分期(HR 3.324;95%CI 2.055~5.089;P<0.0001)和低PNI值(HR 0.457;95%CI 0.296~0.705;P<0.0001)是术后3年无复发生存期(recurrence-free survival,RFS)的独立危险因素。结论:仅低水平的PNI是影响牙龈癌患者3年总生存期和3年无复发生存期的独立危险因素,对患者个体化治疗和随访具有指导意义。 展开更多
关键词 预后营养指数 炎症指数 系统炎性标志物 白蛋白 牙龈癌 预后
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Prognostic value of preoperative prognostic nutritional index and its associations with systemic inflammatory response markers in patients with stage Ⅲ colon cancer 被引量:11
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作者 Jianhong Peng Rongxin Zhang +5 位作者 Yixin Zhao Xiaojun Wu Gong Chen Desen Wan Zhenhai Lu Zhizhong Pan 《Chinese Journal of Cancer》 SCIE CAS CSCD 2017年第11期635-646,共12页
Background: The prognostic nutritional index(PNI) has been widely applied for predicting survival outcomes of patients with various malignant tumors. Although a low PNI predicts poor prognosis in patients with colorec... Background: The prognostic nutritional index(PNI) has been widely applied for predicting survival outcomes of patients with various malignant tumors. Although a low PNI predicts poor prognosis in patients with colorectal cancer after tumor resection, the prognostic value remains unknown in patients with stage Ⅲ colon cancer undergoing curative tumor resection followed by adjuvant chemotherapy. This study aimed to investigate the prognostic value of PNI in patients with stage III colon cancer.Methods: Medical records of 274 consecutive patients with stage Ⅲ colon cancer undergoing curative tumor resection followed by adjuvant chemotherapy with oxaliplatin and capecitabine between December 2007 and December2013 were reviewed. The optimal PNI cutoff value was determined using receiver operating characteristic(ROC) curve analysis. The associations of PNI with systemic inflammatory response markers, including lymphocyte-to-monocyte ratio(LMR), neutrophil-to-lymphocyte ratio(NLR), platelet-to-lymphocyte ratio(PLR), and C-reactive protein(CRP)level, and clinicopathologic characteristics were assessed using the Chi square or Fisher's exact test. Correlation analysis was performed using Spearman's correlation coefficient. Disease-free survival(DFS) and overall survival(OS)stratified by PNI were analyzed using Kaplan-Meier method and log-rank test, and prognostic factors were identified by Cox regression analyses.Results: The preoperative PNI was positively correlated with LMR(r= 0.483, P < 0.001) and negatively correlated with NLR(r =-0.441, P < 0.001), PLR(r =-0.607, P < 0.001), and CRP level(r =-0.333, P < 0.001). A low PNI(≤49.22)was significantly associated with short OS and DFS in patients with stage ⅢC colon cancer but not in patients with stage ⅢA/ⅢB colon cancer.In addition, patients with a low PNI achieved a longer OS and DFS after being treated with6-8 cycles of adjuvant chemotherapy than did those with < 6 cycles. Multivariate analyses revealed that PNI was independently associated with DFS(hazard r 展开更多
关键词 PROGNOSTIC NUTRITIONAL index COLON cancer systemic inflammatory response marker Prognosis
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系统免疫炎症指数和肿瘤标志物与肺癌骨转移的相关性 被引量:4
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作者 唐敏 李桂香 《肿瘤防治研究》 CAS CSCD 2022年第12期1252-1257,共6页
目的评估肺癌患者治疗前系统免疫炎症指数(SII)、肺癌肿瘤标志物CEA、Cyfra21-1、NSE对肺癌骨转移的预测及诊断价值。方法回顾性分析618例肺癌患者临床资料,根据基线时是否骨转移,对诊断组(基线时已经发生骨转移患者和随访未发生骨转移... 目的评估肺癌患者治疗前系统免疫炎症指数(SII)、肺癌肿瘤标志物CEA、Cyfra21-1、NSE对肺癌骨转移的预测及诊断价值。方法回顾性分析618例肺癌患者临床资料,根据基线时是否骨转移,对诊断组(基线时已经发生骨转移患者和随访未发生骨转移患者)与预测组(随访发生骨转移患者与随访未发生骨转移患者)进行数据分析,确定上述指标与肺癌骨转移的相关性。结果预测组:Logistic单因素分析显示SII≥850、NSE≥58.64 ng/ml是肺癌骨转移的独立危险因素和独立预测因素。SII+NSE组合模型曲线下面积为0.662,敏感度为54.5%,特异性为74.5%,优于单一因素预测价值(95%CI:0.596-0.728,P<0.001)。诊断组:Logistic回归分析结果显示肺腺癌、SII≥951.6、CEA≥5.14 ng/ml、NSE≥20.15 ng/ml、Cyfra21-1≥3.94 ng/ml是肺癌患者发生骨转移的独立危险因素(P<0.05),SII单独诊断肺癌骨转移的曲线下面积为0.754,SII+Cyfra21-1组合模型曲线下面积最大,AUC为0.82,敏感度为74%,特异性为78.5%,并优于任何单因素曲线下面积(P<0.05)。结论SII、CEA、Cyfra21-1、NSE在骨转移组水平均显著高于非骨转移组,当SII联合其他单一危险因素时,预测价值及诊断价值进一步提高。 展开更多
关键词 肺癌 骨转移 系统免疫炎症指数 危险因素 肿瘤标志物
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