Long non-coding RNAs (lncRNAs) play a significant role in multiple human cancers as competing endogenous RNAs (ceRNAs). However, a systematic mRNA-microRNA (miRNA)-lncRNA network linked to kidney renal clear cell carcinoma (KIRC) prognosis has not been described. In this study, we aimed to identify the prognosis-related ceRNA regulatory network and analyzed its relationship with immune cell infiltration to predict KIRC patient survival. The MMP25-AS1/hsa-miR-10a-5p/SERPINE1 ceRNA network related to the prognosis of KIRC was obtained through bioinformatics analysis based on The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Meanwhile, we constructed a three-gene-based survival predictor model, which could be referential for future clinical research. Methylation analyses suggested that the abnormal upregulation of the SERPINE1 likely resulted from hypomethylation. Furthermore, the immune infiltration analysis showed that the MMP25-AS1/hsa-miR-10a-5p/SERPINE1 axis could affect the changes in the tumor immune microenvironment and the development of KIRC by affecting the expression of chemokines (CCL4, CCL5, CXCL13, and XCL2). Tumor Immune Dysfunction and Exclusion (TIDE) analysis indicated that the high expression of SERPINE1 might be related to tumor immune evasion in KIRC. In summary, the current study constructing the MMP25-AS1/hsa-miR-10a-5p/SERPINE1 ceRNA network might be a novel significant prognostic factor associated with the diagnosis and prognosis of KIRC.

Background Growing evidence indicates that systemic immune inflammation index (SII) can predict the prognosis of various solid tumors. The objective of this study aimed to investigate the efficacy of SII in predicting the prognosis of gallbladder carcinoma (GBC) patients after radical surgery. Methods A consecutive series of 93 patients with GBC who underwent radical resection were enrolled in the retrospective study. The cutoff value for the SII was calculated using the time‐dependent receiver operating characteristic (ROC) curve analysis by overall survival (OS) prediction. The associations between the SII and the clinicopathologic characteristics were analyzed using Pearson's χ2 test and Fisher's exact test. Survival curves were calculated using the Kaplan–Meier method. Univariate analysis was performed to evaluate the prognostic relevance of preoperative parameters. The multivariate Cox regression proportional hazard model was used to assess variables significant on univariate analysis. Results The Kaplan–Meier survival analysis and the multivariate analysis of patients with GBC who received radical resection showed SII independently predicted OS. The univariate analysis showed that the TNM stage, SII, CA19‐9, ALP, prealbumin, NLR, MLR, lymph node metastasis, and histopathological type were all associated with overall survival. In time‐dependent ROC analysis, the area of the SII‐CA19‐9 under the ROC curve (AUC) was higher than that of the preoperative SII or CA19‐9 levels for the prediction of OS. Conclusion Our results demonstrate that high SII was a predictor of poor long‐term outcomes among patients with GBC undergoing curative surgery. SII‐CA19‐9 classification may be more effective in predicting the postoperative prognosis of GBC patients.

Background The preoperative controlling nutritional status (CONUT) score and serum carbohydrate antigen 199 (CA199) levels are individually correlated with the prognosis of pancreatic ductal adenocarcinoma (PDAC). The objective of this study aimed to investigate the efficacy of CONUT score and CA199 (CONUT-CA199) combination in predicting the prognosis of PDAC patients undergoing radical surgery. Methods We retrospectively analyzed the preoperative CONUT scores and serum CA199 levels of 294 patients with PDAC who underwent radical resection at the Affiliated Hospital of Southwest Medical University between March 2012 and July 2019. Patients were divided into four groups on the basis of their preoperative CONUT scores and serum CA199 levels: CONUTlow/CA199low (1), CONUTlow/CA199high (2), CONUThigh/CA199low (3) and CONUThigh/CA199high (4). The prognostic effects were compared among the groups. Results CONUThigh was more frequent in patients with positive peripancreatic infiltration and Clavien–Dindo classification of ≥IIIa (P < 0.001). Kaplan–Meier analysis revealed obvious difference in overall survival (OS) and recurrence-free survival (RFS) among patients with PDAC having CONUT-CA199 scores of 1, 2, 3 and 4 (P < 0.001). Peripancreatic infiltration, lymph node metastasis, pTNM stage, CONUT score, serum CA199 levels and CONUT-CA199 classification were found to be the independent prognostic factors for OS and RFS in multivariate analyses. In time-dependent receiver operating characteristic (ROC) analyses, the area of the CONUT-CA199 score under the ROC curve (AUC) was higher than that of the preoperative CONUT score or serum CA199 levels for the prediction of OS and RFS. Conclusion CONUT-CA199 classification may be more effective in predicting the postoperative prognosis of PDAC patients.

Among digestive system cancers, the extremely poor prognosis of pancreatic cancer (PC) is a pressing concern. Nonoperative treatments such as targeted and immunotherapy, have improved the current situation, however, the accompanying side effects of these chemicals should not be ignored. Here, we discovered a novel hydroxycinnamic acid named sinapic acid (SA) derived from fruits, vegetables, cereals, and oil crops as an effective anti‐PC molecule. Both the in vitro and in vivo models we designed showed that SA exhibited anticancer activities but not apoptosis induction. Research on the underlying mechanisms illustrated that AKT phosphorylation was blocked by SA, and the downstream Gsk‐3β was downregulated subsequently. Our study revealed the inhibitory activity and underlying mechanisms of SA, providing evidence that SA is a potential strategy for cancer research and can be a promising option of PC chemotherapy.