Six-long non-coding RNA signature predicts recurrence-free survival in hepatocellular carcinoma

BACKGROUND Recent evidence shows that long non-coding RNAs(lncRNAs) are closely related to hepatogenesis and a few aggressive features of hepatocellular carcinoma(HCC). Increasing studies demonstrate that lncRNAs are potential prognostic factors for HCC. Moreover, several studies reported the combination of lncRNAs for predicting the overall survival(OS) of HCC, but the results varied. Thus,more effort including more accurate statistical approaches is needed for exploring the prognostic value of lncRNAs in HCC.AIM To develop a robust lncRNA signature associated with HCC recurrence to improve prognosis prediction of HCC.METHODS Univariate COX regression analysis was performed to screen the lncRNAs significantly associated with recurrence-free survival(RFS) of HCC in GSE76427 for the least absolute shrinkage and selection operator(LASSO) modelling. The established lncRNA signature was validated and developed in The Cancer Genome Atlas(TCGA) series using Kaplan-Meier curves. The expression values of the identified lncRNAs were compared between the tumor and non-tumor tissues. Pathway enrichment of these lncRNAs was conducted based on the significantly co-expressed genes. A prognostic nomogram combining the lncRNA signature and clinical characteristics was constructed.RESULTS The lncRNA signature consisted of six lncRNAs: MSC-AS1, POLR2 J4, EIF3 J-AS1,SERHL, RMST, and PVT1. This risk model was significantly associated with the RFS of HCC in the TCGA cohort with a hazard ratio(HR) being 1.807(95%CI[confidence interval]: 1.329-2.457) and log-rank P-value being less than 0.001. The best candidates of the six-lncRNA signature were younger male patients with HBV infection in relatively early tumor-stage and better physical condition but with higher preoperative alpha-fetoprotein. All the lncRNAs were significantly upregulated in tumor samples compared to non-tumor samples(P < 0.05). The most significantly enriched pathways of the lncRNAs were TGF-β signaling pathway, cellular apoptosis-associated pathways, etc. The nomogram showed great utility of the lncRNA signature in HCC recurrence risk stratification.CONCLUSION We have constructed a six-lncRNA signature for prognosis prediction of HCC.This risk model provides new clinical evidence for the accurate diagnosis and targeted treatment of HCC.

Hydrogen-rich water protects against inflammatory bowel disease in mice by inhibiting endoplasmic reticulum stress and promoting heme oxygenase-1 expression

AIM To investigate the therapeutic effect of hydrogen-rich water(HRW) on inflammatory bowel disease(IBD) and to explore the potential mechanisms involved.METHODS Male mice were randomly divided into the following four groups: control group, in which the mice received equivalent volumes of normal saline(NS) intraperitoneally(ip); dextran sulfate sodium(DSS) group, in which the mice received NS ip(5 m L/kg body weight, twice per day at 8 am and 5 pm) for 7 consecutive days after IBD modeling; DSS + HRW group, in which the mice received HRW(in the same volume as the NS treatment) for 7 consecutive days after IBD modeling; and DSS + HRW + Zn PP group, in which the mice received HRW(in the same volume as the NS treatment) and ZnP P [a heme oxygenase-1(HO-1) inhibitor, 25 mg/kg] for 7 consecutive days after IBD modeling. IBD was induced by feeding DSS to the mice, and blood and colon tissues were collected on the 7th d after IBD modeling to determine clinical symptoms, colonic inflammation and the potential mechanisms involved.RESULTS The DSS + HRW group exhibited significantly attenuated weight loss and a lower extent of disease activity index compared with the DSS group on the 7th d(P < 0.05). HRW exerted protective effects against colon shortening and colonic wall thickening in contrast to the DSS group(P < 0.05). The histological study demonstrated milder inflammation in the DSS + HRW group, which was similar to normal inflammatory levels, and the macroscopic and microcosmic damage scores were lower in this group than in the DSS group(P < 0.05). The oxidative stress parameters, including MDA and MPO in the colon, were significantly decreased in the DSS + HRW group compared with the DSS group(P < 0.05). Simultaneously, the protective indicators, superoxide dismutase and glutathione, were markedly increased with the use of HRW. Inflammatory factors were assessed, and the results showed that the DSS + HRW group exhibited significantly reduced levels of TNF-α, IL-6 and IL-1β compared with the DSS group(P < 0.05). In addition, the pivotal proteins involved in endoplasmic reticulum(ER) stress, including p-e IF2α, ATF4, XBP1 s and CHOP, were dramatically reduced after HRW treatment in contrast to the control group(P < 0.05). Furthermore, HRW treatment markedly up-regulated HO-1 expression, and the use of Zn PP obviously reversed the protective role of HRW. In the DSS + HRW + ZnP P group, colon shortening and colonic wall thickening were significantly aggravated, and the macroscopic damage scores were similar to those of the DSS + HRW group(P < 0.05). The histological study also showed more serious colonic damage that was similar to the DSS group.CONCLUSION HRW has a significant therapeutic potential in IBD by inhibiting inflammatory factors, oxidative stress and ER stress and by up-regulating HO-1 expression.

Seven-senescence-associated gene signature predicts overall survival for Asian patients with hepatocellular carcinoma

BACKGROUND Cellular senescence is a recognized barrier for progression of chronic liver diseases to hepatocellular carcinoma(HCC). The expression of a cluster of genes is altered in response to environmental factors during senescence. However, it is questionable whether these genes could serve as biomarkers for HCC patients.AIM To develop a signature of senescence-associated genes(SAGs) that predicts patients' overall survival(OS) to improve prognosis prediction of HCC.METHODS SAGs were identified using two senescent cell models. Univariate COX regression analysis was performed to screen the candidate genes significantly associated with OS of HCC in a discovery cohort(GSE14520) for the least absolute shrinkage and selection operator modelling. Prognostic value of this seven-gene signature was evaluated using two independent cohorts retrieved from the GEO(GSE14520) and the Cancer Genome Atlas datasets, respectively.Time-dependent receiver operating characteristic(ROC) curve analysis was conducted to compare the predictive accuracy of the seven-SAG signature and serum α-fetoprotein(AFP).RESULTS A total of 42 SAGs were screened and seven of them, including KIF18 B, CEP55,CIT, MCM7, CDC45, EZH2, and MCM5, were used to construct a prognostic formula. All seven genes were significantly downregulated in senescent cells andupregulated in HCC tissues. Survival analysis indicated that our seven-SAG signature was strongly associated with OS, especially in Asian populations, both in discovery and validation cohorts. Moreover, time-dependent ROC curve analysis suggested the seven-gene signature had a better predictive accuracy than serum AFP in predicting HCC patients' 1-, 3-, and 5-year OS.CONCLUSION We developed a seven-SAG signature, which could predict OS of Asian HCC patients. This risk model provides new clinical evidence for the accurate diagnosis and targeted treatment of HCC.