Background Fibrinogen-like protein 1 (FGL1)—Lymphocyte activating gene 3 (LAG-3) pathway is a promising immunotherapeutic target and has synergistic effect with programmed death 1 (PD-1)/programmed death ligand 1 (PD-L1). However, the prognostic significance of FGL1-LAG-3 pathway and the correlation with PD-L1 in hepatocellular carcinoma (HCC) remain unknown. Methods The levels of LAG-3, FGL1, PD-L1 and cytotoxic T (CD8 + T) cells in 143 HCC patients were assessed by multiplex immunofluorescence. Associations between the marker’s expression and clinical significances were studied. Results We found FGL1 and LAG-3 densities were elevated while PD-L1 and CD8 were decreased in HCC tissues compared to adjacent normal liver tissues. High levels of FGL1 were strongly associated with high densities of LAG-3 + cells but not PD-L1. CD8 + T cells densities had positive correlation with PD-L1 levels and negative association with FGL1 expression. Elevated densities of LAG-3 + cells and low levels of CD8 + T cells were correlated with poor disease outcome. Moreover, LAG-3 + cells deteriorated patient stratification based on the abundance of CD8 + T cells. Patients with positive PD-L1 expression on tumor cells (PD-L1 TC + ) tended to have an improved survival than that with negative PD-L1 expression on tumor cells (PD-L1 TC − ). Furthermore, PD-L1 TC − in combination with high densities of LAG-3 + cells showed the worst prognosis, and PD-L1 TC + patients with low densities of LAG-3 + cells had the best prognosis. Conclusions LAG-3, FGL1, PD-L1 and CD8 have distinct tissue distribution and relationships with each other. High levels of LAG-3 + cells and CD8 + T cells represent unfavorable and favorable prognostic biomarkers for HCC respectively.

MicroRNAs are a class of small, non-coding RNAs that can negatively regulate protein-coding genes, and are associated with almost all known physiological and pathological processes, especially cancer. The number of studies documenting miRNA expression patterns in malignancy continues to expand rapidly, with continuously gained critical information regarding how aberrantly expressed miRNAs may contribute to carcinogenesis. miRNAs can influence cancer pathogenesis, playing a potential role as either oncogenes or tumour suppressors. Recently, several miRNAs have been reported to exert different regulatory functions in oesophageal cancer - the carcinoma typically arising from the epithelial lining of the oesophagus. These miRNAs also have potential clinical applications towards developing biomarkers or targets for possible use in diagnosis or therapy in oesophageal cancer. In this review, we have summarized the two (oncogenic or tumour suppressive) roles of miRNAs here, and their applications as potential biomarkers or therapeutic targets, which may illuminate future treatment for oesophageal cancer.

Identifying influential spreaders in complex networks has a significant impact on understanding and control of spreading process in networks. In this paper, we introduce a new centrality index to identify influential spreaders in a network based on the community structure of the network. The community-based centrality (CbC) considers both the number and sizes of communities that are directly linked by a node. We discuss correlations between CbC and other classical centrality indices. Based on simulations of the single source of infection with the Susceptible-Infected-Recovered (SIR) model, we find that CbC can help to identify some critical influential nodes that other indices cannot find. We also investigate the stability of CbC.

No abstract