Development and validation of a novel ubiquitination-related gene prognostic signature based on tumor microenvironment for colon cancer.

Background: Colon cancer (CC) is one of the most common cancers with high morbidity globally. Ubiquitination is involved in the characterization of multiple biological processes, and some ubiquitinated enzymes are associated with the prognosis of CC. However, the prognostic model associated with ubiquitination-related genes (URGs) for CC is unavailable. Methods: Gene expression data, somatic mutations, transcriptome profiles, microsatellite instability status (MSI) status, and clinical information for CC were obtained from The Cancer Genome Atlas (TCGA) dataset. Seven URGs were used for establishing a prognostic prediction model, which was constructed and validated in GSE17538. Besides, genomic variance analysis (GSVA) was used to explore further the differences in biological pathway activation status between the high-risk and low-risk groups. Finally, the single-sample gene set enrichment analysis (ssGSEA) and ESTIMATE algorithm analysis were used to characterize the cellular infiltration in the microenvironment. Results: A seven-URG prognostic signature was established, based on which patients in the training and test groups could be divided into high-risk and low-risk groups. The results demonstrated that the model has a solid ability to predict the prognosis of CC patients. Conclusions: We established a prognostic prediction model for CC based on ubiquitination. Then we analyzed the genetic characteristics associated with ubiquitination and the tumor microenvironment (TME) cell infiltration in CC. These results are worthy of exploring new clinical treatment strategies for CC.

Construction of a pyroptosis-related classifier for risk prediction of acute myocardial infarction.

BACKGROUND: Acute myocardial infarction (AMI) is a common cardiovascular disease that has a high mortality. Pyroptosis is a programmed cell death mediated by inflammasome. It remains to be clarified on the expression pattern and risk predictive role of pyroptosis-related genes in AMI. METHODS: The gene expression data were extracted from the Gene Expression Omnibus (GEO), and pyroptosis-related genes were obtained from published articles. Pyroptosis-related differential expressed genes were selected between normal and AMI samples and then we explored their immune infiltration level using CIBERSORT. Univariate Cox and LASSO regression were applied to establish a classifier based on pyroptosis-related genes. ROC analysis was utilized to evaluate the classifier. RESULTS: In this study, we obtained 20 pyroptosis-related genes which showed differential expression in AMI and normal samples. Among the differential expressed genes, GZMB was significantly positively associated with activated NK cells (R = 0.71, p < 0.01), while NLRP3 exhibited a negative correlation with resting NK cells (R = -0.66, p < 0.01). 9 genes (NLRP9, GSDMD, CASP8, AIM2, GPX4, NOD1, NOD2, SCAF11, GSDME) were eventually identified as a predictive risk classifier for AMI patients. With the classifier, patients at high and low risk could be discriminated. Further external validation showed the high accuracy of the classifier (AUC = 0.75). CONCLUSIONS: Pyroptosis-related genes are closely related to immune infiltration in AMI, and a 9-gene classifier has good performance in predicting the risk of AMI with high accuracy, which could provide a new way for targeted treatment in AMI.

HIPPO signaling-related signature for predicting prognosis and therapeutic response in gastric cancer.

Background: Gastric cancer (GC) is a multifactorial progressive disease with high mortality and heterogeneous prognosis. Effective prognostic biomarkers for GC were critically needed. Hippo signaling pathway is one of the critical mechanisms regulating the occurrence and development of GC, and has potential clinical application value for the prognosis and treatment of GC patients. However, there is no effective signature based on Hippo signaling pathway-related genes (HSPRGs) to predict the prognosis and treatment response of GC patients. Our study aimed to build a HSPRGs signature and explore its performance in improving prognostic assessment and drug therapeutic response in GC. Methods: Based on gene expression profiles obtained from The Cancer Genome Atlas (TCGA) database, we identified differentially expressed HSPRGs and conducted univariate and the least absolute shrinkage and selection operator (LASSO) Cox regression analysis to construct a multigene risk signature. Subsequently, the Kaplan-Meier curve and receiver operating characteristic (ROC) were performed to evaluate the predictive value of the risk signature in both training and validation cohort. Furthermore, we carried out univariate and multivariate Cox regression analysis to investigate the independent prognostic factors and establish a predictive nomogram. The enriched signaling pathways in risk signature were analyzed by gene set enrichment analysis (GSEA). Tumor immune dysfunction and exclusion (TIDE) and drug sensitivity analysis were performed to depict therapeutic response in GC. Results: In total, 38 differentially expressed HSPRGs were identified, and final four genes (DLG3, TGFB3, TGFBR1, FZD6) were incorporated to build the signature. The ROC curve with average 1-, 3-, and 5-year areas under the curve (AUC) equal to .609, .634, and .639. Clinical ROC curve revealed that risk signature was superior to other clinicopathological factors in predicting prognosis. Calibration curves and C-index (.655) of nomogram showed excellent consistency. Besides, in the immunotherapy analysis, exclusion (p < 2.22 × 10-16) and microsatellite instability (p = .0058) performed significantly differences. Finally, our results suggested that patients in the high-risk group were more sensitive to specific chemotherapeutic agents. Conclusion: Results support the hypothesis that Hippo-related signature is a novel prognostic biomarker and predictor, which could help optimize GC prognostic stratification and inform clinical medication decisions.

Human umbilical cord mesenchymal stem cells improve the reserve function of perimenopausal ovary via a paracrine mechanism.

BACKGROUND: Human umbilical cord mesenchymal stem cells (hUCMSCs) are a type of pluripotent stem cell which are isolated from the umbilical cord of newborns. hUCMSCs have great therapeutic potential. We designed this experimental study in order to investigate whether the transplantation of hUCMSCs can improve the ovarian reserve function of perimenopausal rats and delay ovarian senescence. METHOD: We selected naturally aging rats confirmed by vaginal smears as models of perimenopausal rats, divided into the control group and the treatment group, and selected young fertile female rats as normal controls. hUCMSCs were transplanted into rats of the treatment group through tail veins. Enzyme-linked immunosorbent assay (ELISA) detected serum levels of sex hormones, H&E staining showed ovarian tissue structure and allowed follicle counting, immunohistochemistry and western blot analysis revealed ovarian expression of hepatocyte growth factor (HGF), vascular endothelial cell growth factor (VEGF), and insulin-like growth factor-1 (IGF-1), polymerase chain reaction (PCR) and western blot analysis revealed hUCMSCs expression of HGF, VEGF, and IGF-1. RESULTS: At time points of 14, 21, and 28 days after hUCMSCs transplantation, estradiol (E2) and anti-Müllerian hormone (AMH) increased while follicle-stimulating hormone (FSH) decreased; ovarian structure improved and follicle number increased; ovarian expression of HGF, VEGF, and IGF-1 protein elevated significantly. Meanwhile, PCR and western blot analysis indicated hUCMSCs have the capacity of secreting HGF, VEGF, and IGF-1 cytokines. CONCLUSIONS: Our results suggest that hUCMSCs can promote ovarian expression of HGF, VEGF, and IGF-1 through secreting those cytokines, resulting in improving ovarian reserve function and withstanding ovarian senescence.

[Dynamic expression of matrix metalloproteinases 2 and 8 in rat cervix].

OBJECTIVE: To elucidate the relationship between collagen degradation and cervical ripening by detecting dynamic expressions of matrix metalloproteinases 2 (MMP-2) and 8 (MMP-8) in rat cervix. METHOD: SPF rats were divided into 5 groups (n=6), namely non-pregnancy estrus interval group, gestational days 10, 16, and 19 groups, and immediately postpartum group. The wet weight of the cervix was measured and HE staining was used to display the general structure of the cervix. VG staining was applied to visualize the collagen fibers and muscular fibers. Immunohistochemistry was performed to observe the expressions of MMP-2 and MMP-8 in the cervix. RESULTS: HE staining showed that the rat uterine cervix consisted mainly of fibroblasts and fibrous connective tissues. A small quantity of neutrophils could be seen in the cervix stroma of the rats immediately after immediately parturition, but not at the other time points. The wet weight of the antepartum cervix had increased, and a more obvious increase was seen in the wet weight of the cervix immediately after parturition. The collagen fibers of the cervix consisted of collagen fibers and smooth muscle fibers, and their proportions showed no significant variation at the time points around the parturition. Immediately after parturition, the collagen fibers and muscular fibers in the cervix became loosened as compared with that before parturition. MMP-2 expression was found in the cervical stroma but not in the squamous epithelium in nonpregnancy, term pregnancy, and immediately after parturition; the smooth muscle cells, vascular wall, and stromal fibroblasts showed positive expression of MMP-2. Enhanced intensity of MMP-2 staining was seen in term pregnancy and postpartum group in comparison with that in the other groups. MMP-8 expression was observed in the cervix of rats immediately after parturition, with scattered neutrophils positive for MMP-8 spotted in the stroma of the ripened cervix. MMP-8 expression was not detected in the other groups. CONCLUSION: Ripened cervical fibrous tissue becomes loose and broken, and cervical ripening is accompanied by infiltration of neutrophils from exogenous vessels. These changes are particularly evident after parturition. MMP-2 and MMP-8 cooperate to degrade the cervical fibers, leading to cervical softening and expansion.

[Association between marital quality and hypertensive disorder in pregnancy].

OBJECTIVE: To investigate the sociopsychological basis of hypertensive disorder in pregnancy (HDP) and explore a new pathway for etiological study of HDP. METHODS: A prospective investigation was conducted in 1154 women in second trimester pregnancy and 9 factors were surveyed using Olson marital quality questionnaire (ENRIC). The discrepancy between the norms and factor scores of ENRIC was analyzed, and the scores of ENRIC were compared between normal gravidas and patients with HDP. The correlation between ENRIC scores and the severity of the condition was also evaluated. RESULTS: The score of the 1124 gravidas for marital satisfaction was significantly higher than the norm (P<0.05), but the scores for relationship with relatives and sexual life were significantly lower (P<0.05). The other 6 factors had similar scores with the norms (P>0.05). Patients with HDP had significantly lower scores for 7 factors than the normal gravidas (P<0.05), but had comparable scores for financial arrangement and sexual life (P>0.05). The severity of HDP was not found to associate with variation of the scores for the 9 factors (P>0.05). CONCLUSIONS: Marital quality is an important social and psychological basis of HDP, and this study provides some evidence for the social and psychological investigation of the etiology of HDP.