A nomogram based on glycomic biomarkers in serum and clinicopathological characteristics for evaluating the risk of peritoneal metastasis in gastric cancer.
A nomogram based on glycomic biomarkers in serum and clinicopathological characteristics for evaluating the risk of peritoneal metastasis in gastric cancer.
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基于血清糖组生物标志物和临床病理特征的列线图评估胃癌腹膜转移风险
DOI：
10.1186/s12014-020-09297-4
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发表时间：
2020
影响因子：
3.8
通讯作者：
Gu J
中科院分区：
文献类型：
--
作者：
Zhao J;Qin R;Chen H;Yang Y;Qin W;Han J;Wang X;Ren S;Sun Y;Gu J
背景胃癌腹膜转移是一种不可治愈的疾病，术前诊断困难。在这里，我们的目的是建立一个新的预测model.MethodsThe队列，其中包括86例非转移性胃癌患者和43例PMGC患者从中山医院的临床病理特征进行了回顾性分析，以确定PM相关变量。此外，在同一队列中应用质谱法和糖组学分析，以发现血清中用于诊断PM的糖组学生物标志物。基于潜在风险变量与PM之间的关联建立诺模图。（H6 N5 L1 E1：m/z 2620.93; H5 N5 F1 E2：m/z 2650.98; H6 N5 E2，m/z 2666.96; H6 N5 L1 E2，m/z 2940.08）;体重减轻≥ 5 kg;肿瘤大小≥ 3 cm;印戒细胞或粘液腺癌组织学类型;分化差;弥漫性或混合性Lauren分类; CA 19 -9、CA 125和CA 724水平升高;淋巴细胞计数、血红蛋白、白蛋白和前白蛋白水平降低被确定为与PM相关。综合5个独立危险因素（体重减轻≥ 5 kg、CA 19 -9 ≥ 37 U/mL、CA 125 ≥ 35 U/mL、淋巴细胞计数< 2.0 * 109/L、H5 N5 F1 E2表达≥ 0.0017）的诺模图具有良好的诊断性能（AUC：0.892，95%CI 0.829-0.954）。当160被设置为截止阈值，建议nomogram代表了一个完美的区分能力的灵敏度（0.97）和特异性（0.88）。ConclusionsThe nomogram实现了个性化的评估风险PM在GC患者，因此，nomogram可用于协助临床决策术前。
BackgroundPeritoneal metastasis (PM) in gastric cancer (GC) remains an untreatable disease, and is difficult to diagnose preoperatively. Here, we aim to establish a novel prediction model.MethodsThe clinicopathologic characteristics of a cohort that included 86 non-metastatic GC patients and 43 PMGC patients from Zhongshan Hospital were retrospectively analysed to identify PM associated variables. Additionally, mass spectrometry and glycomic analysis were applied in the same cohort to find glycomic biomarkers in serum for the diagnosis of PM. A nomogram was established based on the associations between potential risk variables and PM.ResultsOverexpression of 4 N-glycans (H6N5L1E1: m/z 2620.93; H5N5F1E2: m/z 2650.98; H6N5E2, m/z 2666.96; H6N5L1E2, m/z 2940.08); weight loss ≥ 5 kg; tumour size ≥ 3 cm; signet ring cell or mucinous adenocarcinoma histology type; poor differentiation; diffuse or mixed Lauren classification; increased CA19-9, CA125, and CA724 levels; decreased lymphocyte count, haemoglobin, albumin, and pre-albumin levels were identified to be associated with PM. A nomogram that integrated with five independent risk factors (weight loss ≥ 5 kg, CA19-9 ≥ 37 U/mL, CA125 ≥ 35 U/mL, lymphocyte count < 2.0 * 10 ~ 9/L, and H5N5F1E2 expression ≥ 0.0017) achieved a good performance for diagnosis (AUC: 0.892, 95% CI 0.829–0.954). When 160 was set as the cut-off threshold value, the proposed nomogram represented a perfectly discriminating power for both sensitivity (0.97) and specificity (0.88).ConclusionsThe nomogram achieved an individualized assessment of the risk of PM in GC patients; thus, the nomogram could be used to assist clinical decision-making before surgery.
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DOI：
10.1073/pnas.1916498117
发表时间：
2020-04-07
影响因子：
11.1
作者：
Park, Diane Dayoung;Phoomak, Chatchai;Lebrilla, Carlito B.
通讯作者：
Lebrilla, Carlito B.
影响因子：
6.6
作者：
Haakensen, Vilde D.;Steinfeld, Israel;Yakhini, Zohar
通讯作者：
Yakhini, Zohar
影响因子：
1.6
作者：
Huang CJ;Jiang JK;Chang SC;Lin JK;Yang SH
通讯作者：
Yang SH
影响因子：
3.2
作者：
Gu, Jianguo;Taniguchi, Naoyuki
通讯作者：
Taniguchi, Naoyuki
影响因子：
4.4
作者：
Kyselova, Zuzana;Mechref, Yehia;Novotny, Milos V.
通讯作者：
Novotny, Milos V.