Background Pituitary tumor transforming genes (PTTG1, PTTG2, and PTTG3P) play key roles in the pathogenesis and development of human cancers. The studies show that overexpression of the PTTG genes is associated with tumor progression and migration. However, the function of the PTTG genes in the prognostic value of kidney renal clear cell carcinoma is rarely known by people. Methods The expression of PTTG family genes was analyzed by the ONCOMINE, Human Protein Atlas, GEPIA2, and UALCAN database. The relationship between PTTG family genes expression level and clinical indicators including prognostic data in kidney renal clear cell carcinoma was analyzed by GEPIA2, TCGA portal, and UALCAN. cBioPortal database was used to analyze the genetic mutations of differentially expressed PTTG family members. Similar genes of the PTTG family (90 in total) obtained from GEPIA2 and Metascape were used for GO enrichment to explore the interaction among similar genes. The online tools of Metascape and STRING were used for functional and pathway enrichment analysis. Results PTTG1, 2, and 3P mRNA and protein expression upregulated in kidney renal clear cell carcinoma kidney renal clear cell carcinoma patients compared with normal tissues. And higher expression level of PTTG family genes was associated with shorter overall survival (OS) and disease-free survival (DFS). Furthermore, overexpression of the PTTG family genes had been found correlated with individual cancer stages and pathological tumor grades. In addition, 18% of mutations in the PTTG family genes were associated with short-term survival in kidney renal clear cell carcinoma patients. Conclusions A single PTTG gene or PTTG family genes as a whole may be a potential prognostic biomarker for kidney renal clear cell carcinoma.

No abstract

Background VPS72 is part of the EP400 and Snf2-related CBP-activator protein (SRCAP) chromatin remodeling complexes, and the prognostic value of VPS72 in hepatocellular carcinoma has not been reported. Methods we used the Oncomine, UALCAN, GEPIA, String and Timer databases to study the expression of VPS72 in hepatocellular carcinoma. Results We found the overexpression of VPS72 was markedly correlated with clinical stages and pathological grades in LIHC, higher mRNA expression of VPS72 was significantly related with shorter overall survival. Moreover, we found that VPS72 promoter hyper-methylation in liver cancer is different and significant. Furthermore, we identified significant correlations among the expression of VPS72 and infiltration of B cells, CD4 + T cells, CD8 + T cells, macrophages, neutrophils, and dendritic cells in LIHC. Then we searched the protein interaction network of VPS72 by string. Conclusion VPS72 may be used as prognostic biomarkers and immunotherapeutic targets LIHC patients.

Objective This study aimed to evaluate the correlation of circulating long noncoding RNAs (lncRNAs) expression with disease risk, severity, inflammatory cytokines levels and prognosis in patients with sepsis. Methods Differential expression profiles of lncRNA in the serum of sepsis rats were screened by high-throughput transcriptome sequencing. Homologous lncRNAs in the upregulation group were identified by homology analysis in rats and humans. The expression differences of these homologous lncRNAs in the serum of 176 sepsis patients and 176 healthy controls (HCs) were detected using reverse transcription quantitative polymerase chain reaction (RT-qPCR). And inflammatory cytokines levels were detected by enzyme-linked immunosorbent assay (ELISA). A receiver operating characteristic (ROC) curve was used to verify the diagnostic and prognosis values. Spearman correlation coefficient was used to analyze the correlation between the variables. Follow-up was performed to observe the 28-day mortality. Results Among the screened differentially up-regulated lncRNAs, only two lncRNAs were homologous in rats and humans, which in human named PKN2-antisense RNA 1 (PKN2-AS1) and AC068888.1, respectively. Those two lncRNAs were significantly increased in patients with sepsis compared with those in HCs (P < 0.001), in patients with septic shock compared with those no septic shock (P < 0.001), and in non-survivors compared with survivors (P < 0.001). And those two lncRNAs were positively correlated with sepsis-related organ failure assessment (SOFA) score, acute physiology and chronic health evaluation (APACHE) II score, lactate (Lac), c-reactive protein (CRP), procalcitonin (PCT), interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) in sepsis patients. Likelihood ratio forward stepwise multivariate logistic regression analysis revealed that high lncRNA AC068888.1 expression was an independent risk factor for septic shock (P < 0.001) and unfavorable prognosis (P = 0.006), but high lncRNA PKN2-AS1 expression was only for unfavorable prognosis (P = 0.019). The ROC curve exhibited a significant predictive value for sepsis risk with area under the curve (AUC) values of 0.879 and 0.842, respectively. For predicting septic shock risk, combining lncRNA AC068888.1 with SOFA score and Lac level, the ROC curve analysis significantly improved the predictability (AUC = 0.882). For predicting 28-day death risk, combining those two lncRNAs with SOFA and APACHE II scores, the ROC curve analysis also significantly improved the predictability (AUC = 0.860). The Kaplan–Meier curves indicated that the survival probability was much worse with those two lncRNAs high expression compared to low expression in patients with sepsis (P < 0.001). Conclusion The circulating absolute expression levels of lncRNA PKN2-AS1 and AC068888.1 in the serum may be used for the early diagnosis, clinical severity evaluation and prognosis of sepsis.

Objective Analyze the expression level of TTYH3 gene in liver cancer, promoter methylation, gene mutation, co-expression, Immune infiltration, protein interaction and overall survival by database mining. Methods We utilized the UALCAN, GEPIA, cBioPortal, Metascape, STRING, TIMER, TISIDB, and MEXPRESS databases to investigate the transcription level, genetic alteration, methylation, and biological function of TTYH3 in HCC patients, and its association with the occurrence, progress, prognosis, and immune cell infiltration in patients with HCC. Results Multiple databases have confirmed that the mRNA level of TTYH3 in liver cancer tissues is significantly higher than that in normal tissues. UALCAN and GEPIA confirmed that the overexpression of TTYH3 mRNA was associated with clinical stage, and the expression of TTYH3 mRNA increased with the increase of stage (P<0.05). Multiple databases confirmed that the overexpression of TTYH3 gene was associated with low survival rate (P<0.05). cBioPortal database analysis showed that TTYH3 gene mutation was associated with low survival rate and poor prognosis (P<0.05). GEPIA search for genes co-expressed with TTYH3. Timer database showed that TTYH3 was involved in inflammatory response and immune cell infiltration. Methylation data from MEXPRESS indicate significant probe level variation of CpG island methylation status of the gene TTYH3, which was associated with low survival rate (P<0.05), Moreover, we also found that the expression of TTYH3 was significantly correlated with tumor-infiltrating lymphocytes and immunomodulators, The STRING protein analysis network showed that TTYH3 may interact with BEST1, BEST2, BEST3, BEST4, ZnF467, CLCC1, GLRB, ANO1, IQCE, ANO2 and other proteins. Conclusion Through a variety of databases, it was found that TTYH3 was highly expressed in liver cancer, and the expression level was related to the survival and prognosis of liver cancer patients. Found TTYH3 involved in inflammation and immune cell infiltration and influence the outcomes in patients with liver cancer clinical, TTYH3 promoter methylation of meaningful expression differences in liver cancer, the co-expressed genes, proteins interaction can be in-depth study, as well as TTYH3 gene and the relationship between the liver cancer, for the prognosis of liver cancer biomarkers and therapeutic targets.