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首页> 外文期刊>Journal of Surgical Oncology >Measurement of circulating transcript levels (NETest) to detect disease recurrence and improve follow‐up after curative surgical resection of well‐differentiated pancreatic neuroendocrine tumors
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Measurement of circulating transcript levels (NETest) to detect disease recurrence and improve follow‐up after curative surgical resection of well‐differentiated pancreatic neuroendocrine tumors

机译:测量循环转录物水平(Netest)检测疾病复发和改善疗法外科良好分化的胰腺神经内分泌肿瘤后的随访

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摘要

Background Recurrence of pancreatic neuroendocrine tumors (pNET) after surgery is common. Strategies to detect recurrence have limitations. We investigated the role of clinical criteria and the multigene polymerase chain reaction–based NETest during post‐operative follow‐up of pNET. Methods We studied 3 groups of resections: R0 with no recurrence (n?=?11), R0?with recurrence (n?=?12), and R1 with no recurrence (n?=?12). NETest levels (40%) were compared with chromogranin A (CgA) and clinicopathological criteria (CC; grade, lymph node metastases, size). Nonparametric, receiver operating characteristics, logistic regression, and predictive feature importance?analyses were performed. Results NETest was higher in R0?with recurrence (56?±?8%) compared with R1 with no recurrence (39?±?6%) and R0 with no recurrence (28?±?6%, P ??.005). NETest positively correlated with recurrence (area under the curve: 0.82), CgA was not (area under the curve: 0.51?±?0.09). Multiple regression analysis defined factor impact as highest for NETest ( P ??.005) versus CC ( P ??.03) and CgA ( P ?=?.23). NETest gave false positive or negative recurrence in 18% using a 40% cutoff. Logistic regression modeling of CC was 83% accurate; it was 91% when the NETest was included. Combining CC and NETest was approximately 2× more effective than individual CC alone (increase in? R 2 value from 43% to 80%). Conclusions A multigene blood test facilitates effective identification of pNET recurrence, prediction of disease relapse, and outperforms CgA.
机译:手术后胰腺神经内分泌肿瘤(PNET)的背景复发是常见的。检测再次发生的策略有局限性。我们在术后后续跟踪期间调查了临床标准和多烯聚合酶链反应的Netest的作用。方法我们研究了3组切除术:R0,没有复发(n?=?11),R0?具有复发(n?=Δ12),并且没有复发的R1(n?=?12)。将Netest水平(& 40%)与Chormogranin A(CGA)和临床病理标准进行比较(CC;级,淋巴结转移,尺寸)。非参数,接收器操作特性,逻辑回归和预测特征重要性?进行分析。结果Netest在R0中更高?与R1相比,复发(56?±8%),没有复发(39?±6%)和R0,没有复发(28?±6%,p?α。 005)。 Netest与复发阳性相关(曲线下的区域:0.82),CGA不是(曲线下的面积:0.51?±0.09)。多元回归分析为Netest的最高反返分析为最高影响(p?& 005)与cc(p?& 03)和cga(p?= 33)。 Netest使用40%的截止值在18%的18%中给出了假阳性或负面复发。 CC的Logistic回归建模准确为83%;当网格包括在内,这是91%。结合CC和Netest比单独的单独CC更有效(从43%增加到80%的增加,比单独的CC更有效)。结论多尾血液检测有助于有效鉴定PNET复发,疾病复发预测和优于CGA。

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