Prognostic significance of PLA2G4C gene polymorphism in patients with stage II colorectal cancer

Ursolic Acid as a Protective Agent against UVB-Induced Metabolic and Epigenetic Alterations in Human Skin Keratinocytes: An Omics-Based Study

This study aimed to assess how ursolic acid (UA) can protect human skin keratinocytes from damage caused by UVB radiation. Utilizing an omics-based approach, we characterized the features of photodamage and investigated the potential of UA to reverse HaCaT cell subpopulation injury caused by UVB radiation. The most significant changes in metabolite levels after UA treatment were in pathways associated with phosphatidylcholine biosynthesis and arginine and proline metabolism. Treatment with UA can reverse the levels of certain metabolites, including creatinine, creatine phosphate, and succinic acid. Pathways activated by UA treatment in UVB-irradiated HaCaT cells were associated with several biological processes, including the positive regulation of protein modification process, cell division, and enzyme-linked receptor protein signaling pathway. Treatment with UA demonstrates the capability to mitigate the effects of UVB radiation on specific genes, including S100 calcium-binding protein A9 and IL6 receptor. DNA/CpG methylation indicates that UA can partially reverse some of the alterations in the UVB-induced CpG methylome. Utilizing integrated RNA sequencing and methylation sequencing data, starburst plots illustrate the correlation between mRNA expression and CpG methylation status. UA potentially influences the metabolic pathway of glycerophospholipid metabolism by modulating the expression of several key enzymes, including phospholipase A2 group IIA and lipin 2. Altogether, these results indicate that UVB radiation induces metabolic reprogramming, epigenetic changes, and transcriptomic shifts. Meanwhile, UA demonstrates the capacity to inhibit or reduce the severity of these alterations, which may underlie its potential protective role against skin damage caused by UVB exposure. Prevention Relevance: Our research indicates that UA has the potential to mitigate or lessen the impact of UVB radiation, which is known to cause metabolic reprogramming, epigenetic alterations, and transcriptomic changes. These effects could be responsible for UA's possible protective function against skin damage induced by UVB exposure.

Identification and Validation of Prognostic Model for Pancreatic Ductal Adenocarcinoma Based on Necroptosis-Related Genes

Background: Pancreatic ductal adenocarcinoma (PDAC) is one of the most malignant tumors with a poor prognosis. Recently, necroptosis has been reported to participate in the progression of multiple tumors. However, few studies have revealed the relationship between necroptosis and PDAC, and the role of necroptosis in PDAC has not yet been clarified.

Methods: The mRNA expression data and corresponding clinical information of PDAC patients were downloaded from the TCGA and GEO databases. The necroptosis-related genes (NRGs) were obtained from the CUSABIO website. Consensus clustering was performed to divide PDAC patients into two clusters. Univariate and LASSO Cox regression analyses were applied to screen the NRGs related to prognosis to construct the prognostic model. The predictive value of the prognostic model was evaluated by Kaplan-Meier survival analysis and ROC curve. Univariate and multivariate Cox regression analyses were used to evaluate whether the risk score could be used as an independent predictor of PDAC prognosis. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and single-sample gene set enrichment analysis (ssGSEA) were used for functional enrichment analysis. Finally, using qRT-PCR examined NRGs mRNA expression in vitro.

Results: Based on the TCGA database, a total of 22 differential expressed NRGs were identified, among which eight NRGs (CAPN2, CHMP4C, PLA2G4F, PYGB, BCL2, JAK3, PLA2G4C and STAT4) that may be related to prognosis were screened by univariate Cox regression analysis. And CAPN2, CHMP4C, PLA2G4C and STAT4 were further selected to construct the prognostic model. Kaplan-Meier survival analysis and ROC curve showed that there was a significant correlation between the risk model and prognosis. Univariate and multivariate Cox regression analyses showed that the risk score of the prognostic model could be used as an independent predictor. The model efficacy was further demonstrated in the GEO cohort. Functional analysis revealed that there were significant differences in immune status between high and low-risk groups. Finally, the qRT-PCR results revealed a similar dysregulation of NRGs in PDAC cell lines.

Conclusion: This study successfully constructed and verified a prognostic model based on NRGs, which has a good predictive value for the prognosis of PDAC patients.

Talin1 regulates endometrial adhesive capacity through the Ras signaling pathway

AIMS

Blastocyst implantation is mainly depended on the adhesion between cells and cell matrix. Endometrial adhesion plays an important role in establishing embryo implantation, but the underlying mechanisms are remains unclear. Talin1 is a local adhesion complex protein that is necessary for cell adhesion and movement. However, the role and mechanisms of Talin1 in embryo implantation are still unclear.

MAIN METHODS

The expression of Talin1 and Integrin αvβ3 was measured in the receptive endometrium from the RIF (Recurrent implantation failure) cohort and NC (normal fertile control group) cohort. A JEG-3 trophoblast and endometrial epithelial cell adhesion model and pregnant mouse model were established. The molecular mechanism of Talin1-mediated cell adhesion was explored by RNA sequencing, RT-qPCR, as well as western blotting assays.

KEY FINDINGS

Talin1 enhances endometrial cell adhesion by regulating the Ras signaling pathway, and ultimately facilitates embryo implantation.

SIGNIFICANCE

This study revealed the molecular mechanisms of regarding the pathogenesis of RIF caused by endometrial receptivity insufficiency. Further pharmacological research on the Ras signaling pathway would be valuable and might provide new therapeutic targets for RIF patients.

Exploring the Molecular Mechanism of the Drug-Treated Breast Cancer Based on Gene Expression Microarray

: Breast cancer (BRCA) remains the leading cause of cancer morbidity and mortality worldwide. In the present study, we identified novel biomarkers expressed during estradiol and tamoxifen treatment of BRCA. The microarray dataset of E-MTAB-4975 from Array Express database was downloaded, and the differential expressed genes (DEGs) between estradiol-treated BRCA sample and tamoxifen-treated BRCA sample were identified by limma package. The pathway and gene ontology (GO) enrichment analysis, construction of protein-protein interaction (PPI) network, module analysis, construction of target genes-miRNA interaction network and target genes-transcription factor (TF) interaction network were performed using bioinformatics tools. The expression, prognostic values, and mutation of hub genes were validated by SurvExpress database, cBioPortal, and human protein atlas (HPA) database. A total of 856 genes (421 up-regulated genes and 435 down-regulated genes) were identified in T47D (overexpressing Split Ends (SPEN) + estradiol) samples compared to T47D (overexpressing Split Ends (SPEN) + tamoxifen) samples. Pathway and GO enrichment analysis revealed that the DEGs were mainly enriched in response to lysine degradation II (pipecolate pathway), cholesterol biosynthesis pathway, cell cycle pathway, and response to cytokine pathway. DEGs (MCM2, TCF4, OLR1, HSPA5, MAP1LC3B, SQSTM1, NEU1, HIST1H1B, RAD51, RFC3, MCM10, ISG15, TNFRSF10B, GBP2, IGFBP5, SOD2, DHF and MT1H) , which were significantly up- and down-regulated in estradiol and tamoxifen-treated BRCA samples, were selected as hub genes according to the results of protein-protein interaction (PPI) network, module analysis, target genes-miRNA interaction network and target genes-TF interaction network analysis. The SurvExpress database, cBioPortal, and Human Protein Atlas (HPA) database further confirmed that patients with higher expression levels of these hub genes experienced a shorter overall survival. A comprehensive bioinformatics analysis was performed, and potential therapeutic applications of estradiol and tamoxifen were predicted in BRCA samples. The data may unravel the future molecular mechanisms of BRCA.

Prediction of novel target genes and pathways involved in irinotecan-resistant colorectal cancer

Background

Acquired drug resistance to the chemotherapeutic drug irinotecan (the active metabolite of which is SN-38) is one of the significant obstacles in the treatment of advanced colorectal cancer (CRC). The molecular mechanism or targets mediating irinotecan resistance are still unclear. It is urgent to find the irinotecan response biomarkers to improve CRC patients’ therapy.

Methods

Genetic Omnibus Database GSE42387 which contained the gene expression profiles of parental and irinotecan-resistant HCT-116 cell lines was used. Differentially expressed genes (DEGs) between parental and irinotecan-resistant cells, protein-protein interactions (PPIs), gene ontologies (GOs) and pathway analysis were performed to identify the overall biological changes. The most common DEGs in the PPIs, GOs and pathways were identified and were validated clinically by their ability to predict overall survival and disease free survival. The gene-gene expression correlation and gene-resistance correlation was also evaluated in CRC patients using The Cancer Genomic Atlas data (TCGA).

Results

The 135 DEGs were identified of which 36 were upregulated and 99 were down regulated. After mapping the PPI networks, the GOs and the pathways, nine genes (GNAS, PRKACB, MECOM, PLA2G4C, BMP6, BDNF, DLG4, FGF2 and FGF9) were found to be commonly enriched. Signal transduction was the most significant GO and MAPK pathway was the most significant pathway. The five genes (FGF2, FGF9, PRKACB, MECOM and PLA2G4C) in the MAPK pathway were all contained in the signal transduction and the levels of those genes were upregulated. The FGF2, FGF9 and MECOM expression were highly associated with CRC patients’ survival rate but not PRKACB and PLA2G4C. In addition, FGF9 was also associated with irinotecan resistance and poor disease free survival. FGF2, FGF9 and PRKACB were positively correlated with each other while MECOM correlated positively with FGF9 and PLA2G4C, and correlated negatively with FGF2 and PRKACB after doing gene-gene expression correlation.

Conclusion

Targeting the MAPK signal transduction pathway through the targeting of the FGF2, FGF9, MECOM, PLA2G4C and PRKACB might increase tumor responsiveness to irinotecan treatment.