Qin Ruihuan, Yang Yupeng, Qin Wenjun, Han Jing, Chen Hao, Zhao Junjie, Zhao Ran, Li Can, Gu Yong, Pan Yiqing, Wang Xuefei, Ren Shifang, Sun Yihong, Gu Jianxin
NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, China.
Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
J Cancer. 2019 Jun 2;10(12):2811-2821. doi: 10.7150/jca.31380. eCollection 2019.
: Peritoneal metastasis, associated with poor prognosis in gastric cancer, is difficult to discriminate from advanced gastric cancer preoperatively. However, operative diagnosis could bring both mental and physical trauma and economic burden for patients. Consequently, a non-invasive biomarker is necessary to reduce the burden of operative diagnosis and improve survival quality of patients. This study aims to elucidate the correlation between Immunoglobulin G (IgG) N-glycome and peritoneal metastasis and find potential biomarkers in preoperative discrimination of peritoneal metastasis from advanced gastric cancer based on the comprehensive sample set. : A total of 373 gastric cancer patients were enrolled and randomly sorted into training cohort (n=249) and validation cohort (n=124). The IgG N-glycome composition was analyzed by ultra-performance liquid chromatography. : Twenty-four glycan peaks were directly detected and 15 traits based on the same structures were evaluated between peritoneal metastasis group and advanced gastric cancer group. Several differences in IgG glycosylation were found: sialylation and fucosylation were increased in peritoneal metastasis, while neutral glycosylation, monogalacosylation and bisecting GlcNAc were decreased. Based on the significant glycomics profile, a glyco-model composed of five glycan peaks (GP6, GP9, GP11, GP21 and GP23) was established with area under the receiver operating characteristic curve (AUC) value of 0.80 (training cohort) and 0.77 (validation cohort), which showed good potential in discriminating peritoneal metastasis from advanced gastric cancer. The diagnostic performance of this model was further validated in a combined cohort (AUC=0.79). Two patients with gastric cancer were selected to perform and demonstrate the usage of the diagnostic workflow. : Here we firstly present IgG glycome profiles in a large number of preoperative peritoneal metastasis serums. The IgG glycan was highly associated with peritoneal metastasis. These findings enhance the understanding of peritoneal metastasis. Besides, our results suggested that the newly established glyco-model could be a reliable predictor of the presence of peritoneal metastasis in patients with advanced gastric cancer.
腹膜转移与胃癌预后不良相关,术前难以与进展期胃癌相鉴别。然而,手术诊断会给患者带来身心创伤和经济负担。因此,需要一种非侵入性生物标志物来减轻手术诊断负担并提高患者生存质量。本研究旨在阐明免疫球蛋白G(IgG)N-聚糖与腹膜转移之间的相关性,并基于综合样本集寻找术前鉴别进展期胃癌腹膜转移的潜在生物标志物。
共纳入373例胃癌患者,随机分为训练队列(n = 249)和验证队列(n = 124)。采用超高效液相色谱法分析IgG N-聚糖组成。
直接检测到24个聚糖峰,并评估了腹膜转移组和进展期胃癌组基于相同结构的15个特征。发现IgG糖基化存在一些差异:腹膜转移时唾液酸化和岩藻糖基化增加,而中性糖基化、单半乳糖基化和平分型N-乙酰葡糖胺减少。基于显著的糖组学特征,建立了一个由五个聚糖峰(GP6、GP9、GP11、GP_21和GP_23)组成的糖模型,其受试者操作特征曲线(AUC)下面积在训练队列中为0.80,在验证队列中为0.77,在鉴别进展期胃癌腹膜转移方面显示出良好潜力。该模型的诊断性能在联合队列中进一步得到验证(AUC = 0.79)。选择2例胃癌患者进行并展示诊断流程的使用。
在此,我们首次展示了大量术前腹膜转移血清中的IgG聚糖谱。IgG聚糖与腹膜转移高度相关。这些发现加深了对腹膜转移的理解。此外,我们的结果表明,新建立的糖模型可能是进展期胃癌患者腹膜转移存在的可靠预测指标。