Development of a preoperative prediction nomogram for lymph node metastasis in colorectal cancer based on a novel serum miRNA signature and CT scans.
Development of a preoperative prediction nomogram for lymph node metastasis in colorectal cancer based on a novel serum miRNA signature and CT scans.
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基于新型血清 miRNA 特征和 CT 扫描，开发结直肠癌淋巴结转移的术前预测列线图。
DOI：
10.1016/j.ebiom.2018.09.052
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发表时间：
2018-11
期刊：
影响因子：
11.1
通讯作者：
Wang C
中科院分区：
文献类型：
--
作者：
Qu A;Yang Y;Zhang X;Wang W;Liu Y;Zheng G;Du L;Wang C
术前预测结直肠癌患者的淋巴结（LN）状态对于制定适当的治疗计划至关重要。在这项研究中，我们试图开发和验证一种非侵入性的诺模图模型，以术前预测结直肠癌淋巴结转移。诺模图的发展需要三个后续阶段与特定的患者集。在发现组（n = 20）中，从人CRC血清样品的高通量测序数据中筛选LN状态相关的miRNA。在训练集（n = 218）中，通过逻辑回归分析开发用于LN转移的术前预测的miRNA组-临床病理列线图。在验证集中（n = 198），我们验证了上述诺模图的区分，校准和临床应用。在结直肠癌伴淋巴结转移和不伴淋巴结转移患者血清中发现了4种不同表达的miRNAs（miR-122- 5 p、miR-146 b-5 p、miR-186- 5 p和miR-193 a-5 p），它们对结直肠癌细胞的迁移也有调节作用。与计算机断层扫描（CT）扫描相比，组合的miRNA组可以提供更高的LN预测能力（在训练集和验证集中P < .0001）。此外，在训练集中构建了整合基于miRNA的面板和CT报告的LN状态的诺模图，其在训练集和验证集中表现良好（AUC分别为0.913和0.883）。决策曲线分析表明诺模图的临床实用性。我们的诺模图是一个可靠的预测模型，可以方便，有效地用于提高术前预测结直肠癌患者淋巴结转移的准确性。
Preoperative prediction of lymph node (LN) status is of crucial importance for appropriate treatment planning in patients with colorectal cancer (CRC). In this study, we sought to develop and validate a non-invasive nomogram model to preoperatively predict LN metastasis in CRC. Development of the nomogram entailed three subsequent stages with specific patient sets. In the discovery set (n = 20), LN-status-related miRNAs were screened from high-throughput sequencing data of human CRC serum samples. In the training set (n = 218), a miRNA panel-clinicopathologic nomogram was developed by logistic regression analysis for preoperative prediction of LN metastasis. In the validation set (n = 198), we validated the above nomogram with respect to its discrimination, calibration and clinical application. Four differently expressed miRNAs (miR-122-5p, miR-146b-5p, miR-186-5p and miR-193a-5p) were identified in the serum samples from CRC patients with and without LN metastasis, which also had regulatory effects on CRC cell migration. The combined miRNA panel could provide higher LN prediction capability compared with computed tomography (CT) scans (P < .0001 in both the training and validation sets). Furthermore, a nomogram integrating the miRNA-based panel and CT-reported LN status was constructed in the training set, which performed well in both the training and validation sets (AUC: 0.913 and 0.883, respectively). Decision curve analysis demonstrated the clinical usefulness of the nomogram. Our nomogram is a reliable prediction model that can be conveniently and efficiently used to improve the accuracy of preoperative prediction of LN metastasis in patients with CRC.
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影响因子：
5.7
作者：
Iino, Ichirota;Kikuchi, Hirotoshi;Konno, Hiroyuki
通讯作者：
Konno, Hiroyuki
鉴定循环 microRNA 特征作为胃癌淋巴结转移预测和预后的潜在非侵入性生物标志物
影响因子：
--
作者：
Jiang X;Wang W;Yang Y;Du L;Yang X;Wang L;Zheng G;Duan W;Wang R;Zhang X;Wang L;Chen X;Wang C
通讯作者：
Wang C
影响因子：
8.4
作者：
Hayashi, Yuki;Xiao, Lianchun;Suzuki, Akihiro;Blum, Mariela A.;Sabloff, Bradley;Taketa, Takashi;Maru, Dipen M.;Welsh, James;Lin, Steven H.;Weston, Brian;Lee, Jeffrey H.;Bhutani, Manoop S.;Hofstetter, Wayne L.;Swisher, Stephen G.;Ajani, Jaffer A.
通讯作者：
Ajani, Jaffer A.
影响因子：
2.6
作者：
Azizian, Azadeh;Kramer, Frank;Gaedcke, Jochen
通讯作者：
Gaedcke, Jochen
影响因子：
3.2
作者：
Glasgow, Sean C.;Bleier, Joshua I. S.;Lowry, Ann C.
通讯作者：
Lowry, Ann C.