Pancreatic tissues with at least 1 HPF were obtained by EUS-FNA from approximately 80% of patients, and nearly 60% of patients were diagnosed with ICDC level 2 or higher. Our findings indicate that EUS-FNA with a 22G needle may be useful for the histopathologic diagnosis of AIP. (Clinical trial registration number: UMIN000010097.).

The ENPD method was found to have high diagnostic yield, especially for tumors less than 20 mm or located in the pancreatic head, and might be useful for the diagnosis of early-stage pancreatic cancer.

The introduction of high-dose CS in the early stage of ALF was effective in suppressing the destruction of hepatocytes. CS-treated patients showed slightly higher survival rates and slightly more improved liver regeneration than controls, although the differences were not statistically significant.

Background/Aims: To determine the clinical significance of gene promoter methylation in hepatocellular carcinoma (HCC), we examined in clinical samples the methylation status of those promoters that showed elevated activity in hepatoma cell lines after 5-aza-2′-deoxycytidine treatment. Methods: Regarding the genes with promoter hypermethylation in the cell lines, their expression levels and methylation status in HCC and non-HCC tissues were assessed by semiquantitive RT-PCR and methylation-specific PCR. To confirm the result, the expression levels and methylation status in 16 additional HCC and non-HCC tissues were assessed. Results: The promoter regions of caveolin 1 (CAV1), cysteine and glycine-rich protein 1 (CSRP1), Kruppel-like factor 6 (KLF6), myosin (light polypeptide 9) (MYL9), and transgelin (TAGLN) were highly methylated in the cell lines. CAV1 and CSRP1 were methylated in HCC more frequently than in non-HCC. KLF6, MYL9, and TAGLN were fully methylated in both HCC and non-HCC. Using additional clinical samples, downregulation of CAV1 and CSRP1 was observed in 38 and 56%, respectively, of the 16 HCC samples and aberrant methylation of CAV1 and CSRP1 was observed in 56% of HCC in both cases. Conclusion:CAV1 and CSRP1 were inactivated in HCC by aberrant methylation and they may serve as important biomarkers of malignancy.

Background:Pancreatic ductal adenocarcinoma (PDAC) remains a devastating disease due to the lack of specific early diagnostic markers. To improve the outcomes, proteomic approaches are being developed for the discovery of novel biomarkers of PDAC.Methods:Using tandem mass tag labelling and LC-MS/MS, we performed comparative analyses of pre- and postoperative sera from PDAC patients to identify specific serum biomarkers for PDAC. In validation studies, we evaluated the discriminatory power of candidate proteins.Results:Among the 302 proteins analysed, 20 were identified as potential biomarkers, with C4b-binding protein α-chain (C4BPA) and polymeric immunoglobulin receptor (PIGR) being selected for further analysis. The sera levels of C4BPA and PIGR were significantly higher in the preoperative PDAC patients than in the postoperative ones (P<0.008, P<0.036, respectively). In addition, serum C4BPA levels, but not PIGR, in patients with PDAC were significantly higher than those in healthy controls as well as in patients with pancreatitis and other malignancies including biliary tract cancers (BTC) (P<0.001). The respective area under the receiver operator characteristics (ROC) curve (AUC) was 0.860 for C4BPA, 0.846 for CA19-9 and 0.930 for the combination of C4BPA and CA19-9 in PDAC vs non-cancer individuals. The respective AUC was 0.912 for C4BPA, 0.737 for CA19-9 in Stages I and II of PDAC, 0.854 for C4BPA and 0.264 for CA19-9 in PDAC vs BTC.Conclusions:We have demonstrated that C4BPA is a novel serum biomarker for detecting early stage PDAC, as well as for distinguishing PDAC from other gastroenterological cancers. Further analysis in large cohort studies will warrant C4BPA as a promising biomarker of PDAC in clinical use.

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GS therapy improved PFS and ORR with acceptable toxicity profile in patients with unresectable pancreatic cancer.

The measurement of pancreatic stone density before therapy can help predict therapeutic outcomes.