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Yifan Zhu,1,&ast; Lisheng Wang,1,&ast; Yanying Nong,2 Yunxiao Liang,3 Zongsheng Huang,3 Pingchuan Zhu,4 Qisong Zhang1 1Medical College of Guangxi University, Guangxi University, Nanning, Guangxi, 530004, People’s Republic of China; 2Department of Gastroenterology, Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, 530011, People’s Republic of China; 3Department of Gastroenterology, The People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, 530021, People’s Republic of China; 4State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning, Guangxi, 530004, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Qisong ZhangMedical College of Guangxi University, Guangxi University, No. 100, East Daxue Road, Nanning, Guangxi, 530004, People’s Republic of ChinaTel +86 0771-3387105Email zhangqisong@gxu.edu.cnBackground: As a key precancerous lesion, colorectal advanced adenoma (CAA) is closely related to the occurrence and development of colorectal cancer (CRC). Effective identification of CAA-related biomarkers can prevent CRC morbidity and mortality. Lipids, as an important endogenous substance, have been proved to be involved in the occurrence and development of CRC. Lipidomics is an advanced technique that studies lipid metabolism and biomarkers of diseases. However, there are no lipidomics studies based on large serum samples to explore diagnostic biomarkers for CAA.Methods: An integrated serum lipid profile from 50 normal (NR) and 46 CAA subjects was performed using ultra-high performance liquid chromatography tandem high-resolution mass spectrometry (UHPLC-HRMS). Lipidomic data were acquired for negative and positive ionization modes, respectively. Differential lipids were selected by univariate and multivariate statistics analyses. A receiver operator characteristic curve (ROC) analysis was conducted to evaluate the diagnostic performance of differential lipids.Results: A total of 53 differential lipids were obtained by combining univariate and multivariate statistical analyses (P < 0.05 and VIP > 1). In addition, 12 differential lipids showed good diagnostic performance (AUC > 0.90) for the discrimination of NR and CAA by receiver operating characteristic curve (ROC) analysis. Of them, the performance of PC 44:5 and PC 35:6e presented the outstanding performance (AUC = 1.00, (95% CI, 1.00– 1.00)). Moreover, triglyceride (TAG) had the highest proportion (37.74%) as the major dysregulated lipids in the CAA.Conclusion: This is the first study that profiled serum lipidomics and explored lipid biomarkers with good diagnostic ability of CAA to contribute to the early prevention of CRC. Twelve differential lipids that effectively discriminate between NR and CAA serve as the potential diagnostic markers of CAA. An obvious perturbation of TAG metabolism could be involved in the CAA formation.Keywords: colorectal advanced adenoma, biomarker, serum lipidomics, UHPLC-HRMS, colorectal cancer

Purpose: The correlation between patatin-like phospholipase domain-containing protein 3 ( PNPLA3) rs738409 polymorphism and hepatocellular carcinoma was investigated by several pilot studies, but the results of these studies were controversial. Therefore, we performed this study to better assess the relationship between PNPLA3 rs738409 polymorphism and the likelihood of hepatocellular carcinoma. Methods: Eligible studies were searched in PubMed, Medline, EMBASE, and Web of Science. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to assess the relationship between PNPLA3 rs738409 polymorphism and hepatocellular carcinoma. Results: A total of 17 studies with 10,330 participants were analyzed. A significant association with the likelihood of hepatocellular carcinoma was detected for the PNPLA3 rs738409 polymorphism in dominant ( P = 0.0001; OR 0.66; 95% CI 0.53, 0.82), recessive ( P < 0.0001; OR 2.32; 95% CI 1.76, 3.06) and allele ( P < 0.0001; OR 0.64; 95% CI 0.53, 0.77) comparisons. Further subgroup analyses revealed that the PNPLA3 rs738409 polymorphism was significantly associated with the likelihood of hepatocellular carcinoma in Caucasians (dominant model: P < 0.0001, OR 0.57, 95% CI 0.45, 0.71; recessive model: P < 0.0001, OR 2.74, 95% CI 2.02, 3.71; allele model: P < 0.0001, OR 0.56, 95% CI 0.46, 0.67). However, no positive results were detected in Asians. Conclusions: Our findings indicated that the PNPLA3 rs738409 polymorphism may serve as a potential biological marker of hepatocellular carcinoma in Caucasians.

Background. The role of miR-200c in gastric cancer remains controversial. This study is aimed at clarifying the diagnostic and prognostic value of miR-200c in gastric cancer through a meta-analysis. Methods. A comprehensive literature search of PubMed, Embase, and Ovid library databases was conducted. The studies included were those conducted before December 2017. The sensitivity and specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under curve (AUC) were used to estimate the diagnostic value of miR-200c. Meanwhile, the pooled hazard ratio (HR) was used to estimate the prognostic value of miR-200c. Results. For the diagnostic value of miR-200c, six studies that included 202 patients with gastric cancer and 250 normal controls were analyzed. The sensitivity, specificity, PLR, NLR, DOR, and AUC were 0.74, 0.66, 2.20, 0.40, 5.34, and 0.75, respectively. Subgroup analysis showed no significant difference in the type of the sample, method for testing miR-200c, and ethnicity among the patients. Meanwhile, for the prognostic value of miR-200c, seven studies comprising 935 patients with gastric cancer were analyzed. The pooled results showed that miR-200c expression was associated with overall survival (HR=2.19) and disease-free survival (HR=1.73), but not with progression-free survival (HR=1.64) in patients with gastric cancer. There was no publication bias across the studies. Conclusions. Both serum and tissue miR-200c have moderate diagnostic accuracy in gastric cancer. miR-200c could also be used as a valuable indicator for predicting the prognosis of gastric cancer patients.