Several genes involved in the JAK-STAT pathway may act as prognostic markers in pancreatic cancer identified by microarray data analysis.

PURPOSE: This study aimed to identify the underlying mechanisms in pancreatic cancer (PC) carcinogenesis and those as potential prognostic biomarkers, which can also be served as new therapeutic targets of PC. METHODS: Differentially expressed genes (DEGs) were identified between PC tumor tissues and adjacent normal tissue samples from a public GSE62452 dataset, followed by functional and pathway enrichment analysis. Then, protein-protein interaction (PPI) network was constructed and prognosis-related genes were screened based on genes in the PPI network, before which prognostic gene-related miRNA regulatory network was constructed. Functions of the prognostic gene in the network were enriched before which Kaplan-Meier plots were calculated for significant genes. Moreover, we predicted related drug molecules based on target genes in the miRNA regulatory network. Furthermore, another independent GSE60979 dataset was downloaded to validate the potentially significant genes. RESULTS: In the GSE62452 dataset, 1017 significant DEGs were identified. Twenty-six important prognostic-related genes were found using multivariate Cox regression analysis. Through pathway enrichment analysis and miRNA regulatory analysis, we found that the 5 genes, such as Interleukin 22 Receptor Subunit Alpha 1 (IL22RA1), BCL2 Like 1 (BCL2L1), STAT1, MYC Proto-Oncogene (MYC), and Signal Transducer And Activator Of Transcription 2 (STAT2), involved in the Jak-STAT signaling pathway were significantly associated with prognosis. Moreover, the expression change of these 5 genes was further validated using another microarray dataset. Additionally, we identified camptothecin as an effective drug for PC. CONCLUSION: IL22RA1, BCL2L1, STAT1, MYC, and STAT2 involved in the Jak-STAT signaling pathway may be significantly associated with prognosis of PC.

[The positive relationship between survivin and STAT2 up-expressed in skin lesions of psoriasis vulgaris].

Objective To investigate the expressions of the inhibitor of apoptosis protein survivin and signal transducer and activator of transcription 2 (STAT2) in the tissues of the plaque-like lesions of patients with psoriasis vulgaris (PV) in the progressive stage and discuss their correlation. Methods We collected the plaque-like lesion samples and non-lesion samples from 22 PV patients and the normal skin sample from 18 healthy controls. Real-time quantitative PCR was used to evaluate the mRNA levels of survivin and STAT2 in these samples. Western blot analysis was performed to determine the protein expressions of survivin and STAT2. Immunohistochemical staining was also used to detect the expressions of survivin and STAT2. The correlation between survivin and STAT2 in the PV lesions was determined by Pearson's correlation analysis. Results Compared with healthy control skin and PV non-lesion tissues, the mRNA and protein expressions of survivin and STAT2 were significantly elevated in PV lesion tissues, and the mRNA expression of survivin was positively correlated with STAT2 mRNA in PV lesion tissues (r=0.5282). Conclusion The expressions of survivin and STAT2 are up-regulated in skin lesions of PV patients, and their mRNA expressions are positively correlated.

Liver expression of proteins controlling interferon-mediated signalling as predictive factors in the response to therapy in patients with hepatitis C virus infection.

Combination therapy with interferon-alpha (IFNalpha) and ribavirin is the current treatment of choice for hepatitis C virus (HCV) infection. However, an important number of patients fail to respond to this therapeutic strategy. Factors determining IFN responsiveness are not well understood, and assessment of biomarkers that predict the response to IFN therapy in HCV patients is necessary. Several studies show that particular HCV proteins are able to block IFN function through interaction with important IFN-signal mediators, such as signal transducers and activators of transcription (STATs). We performed immunostaining analysis of STATs in liver tissue from IFN-responder vs. non-responder HCV patients in order to compare the expression profile of these proteins between both groups. Tissue arrays of liver biopsies were used to study the expression of STAT1, STAT2, STAT5 and PIAS1 (protein inhibitor of activated STAT1). Robust and higher expression levels of STAT1, STAT2 and STAT5 in liver tissue from HCV patients were found when compared with samples from healthy donors. However, no significant differences were observed between IFN-responder and -non-responder groups, but rather increasing levels of STAT1, STAT2 and STAT5 paralleled the degree of liver injury. Importantly, PIAS1 expression in the nucleus of most hepatocytes in HCV tissue biopsy sections, particularly of non-responder HCV patients, strongly indicated a regulatory effect on STAT1-DNA binding, likely affecting the IFN late signalling. In conclusion, our evidence indicates that intense PIAS1 nuclear staining, widely distributed in hepatocytes of infected livers, could be a good predictive factor of a defective response to IFN treatment, and a biomarker that is easily detectable by immunostaining during standard histopathological liver biopsy analysis.

Melanoma cells exhibit variable signal transducer and activator of transcription 1 phosphorylation and a reduced response to IFN-alpha compared with immune effector cells.

PURPOSE: IFN-alpha is administered to melanoma patients and its endogenous production is essential for immune-mediated tumor recognition. We hypothesized that a reduced capacity for signal transducer and activator of transcription (STAT) 1 activation allows melanoma cells to evade the direct actions of IFN-alpha. EXPERIMENTAL DESIGN: Tyr(701)-phosphorylated STAT1 (P-STAT1) was measured by flow cytometry in IFN-alpha-stimulated human melanoma cell lines, melanoma cells derived from patient tumors, and peripheral blood mononuclear cells (PBMC). Expression of other Janus-activated kinase (Jak)-STAT intermediates (STAT1, STAT2, Jak1, tyrosine kinase 2, IFN-alpha receptor, STAT3, and STAT5) was evaluated by flow cytometry, immunoblot, or immunohistochemistry. RESULTS: Significant variability in P-STAT1 was observed in human melanoma cell lines following IFN-alpha treatment (P < 0.05) and IFN-alpha-induced P-STAT1 correlated with the antiproliferative effects of IFN-alpha (P = 0.042). Reduced formation of P-STAT1 was not explained by loss of Jak-STAT proteins or enhanced STAT5 signaling as reported previously. Basal levels of P-STAT3 were inversely correlated with IFN-alpha-induced P-STAT1 in cell lines (P = 0.013). IFN-alpha-induced formation of P-STAT1 was also variable in melanoma cells derived from patient tumors; however, no relationship between P-STAT3 and IFN-alpha-induced P-STAT1 was evident. Because IFN-alpha acts on both tumor and immune cells, we examined the ability of IFN-alpha to induce P-STAT1 in patient-derived melanoma cells and PBMCs. IFN-alpha induced significantly lower levels of P-STAT1 in melanoma cells compared with matched PBMCs (P = 0.046). Melanoma cells and human melanocytes required 10-fold higher IFN-alpha doses to exert P-STAT1 levels comparable with PBMCs. CONCLUSIONS: Melanoma cells are variable in their IFN-alpha responsiveness, and cells of the melanocytic lineage exhibit a lower capacity for IFN-alpha-induced Jak-STAT signaling compared with immune cells.