Current Genomics - Volume 25, Issue 1, 2024

Objectives: This research aimed to study the expression of PRDX6 mRNA in hepatocellular carcinoma (HCC) and its effect on the prognosis of HCC. Moreover, the effect of PRDX6 gene knockdown on the proliferation, migration, and invasion of HepG2 cells mediated by lentivirus was also examined. This study offers a theoretical and experimental basis for further research on the mechanism of PRDX6 in liver cancer and new methods for clinical diagnosis and treatment. Methods: RNA sequence data of 369 HCC patients were screened through the TCGA database, and the expression and clinical characteristics of PRDX6 mRNA were analyzed based on high- -throughput RNA sequencing data. HepG2 cells were divided into WT, sh-NC and sh-PRDX6 groups. Real-time PCR and Western blot were used to detect the expression levels of the PRDX6 gene and protein, respectively. CCK8 method was used to detect the proliferation activity of Hep- G2 cells, scratch healing test was used to detect the migration ability, Transwell chamber was used to detect the invasion ability, and Western blot was used to detect the expression levels of PI3K/Akt/mTOR signaling pathway and Notch signaling pathway-related proteins. Results: The expression of PRDX6 was significantly correlated with the gender, race, clinical stage, histological grade, and survival time of HCC patients (P < 0.05). Compared with that in WT and sh-NC groups, the expression level of PRDX6 protein in HCC patients was significantly lower (P < 0.01), the proliferation activity of HCC cells was significantly decreased (P < 0.05), and the migration and invasion ability was significantly decreased (P < 0.05) in the sh-PRDX6 group. The expression levels of PI3K, p-Akt, p-mTOR, Notch1, and Hes1 proteins in the sh- PRDX6 group were significantly lower than those in WT and sh-NC groups (P < 0.05). Conclusion: The expression of PRDX6 may be closely related to the prognosis of HCC. Lentivirus- mediated PRDX6 knockdown can inhibit the proliferation, migration and invasion of HCC cells, which may be related to its regulating the PI3K/Akt/mTOR and Notch1 signaling pathways. PRDX6 is expected to be a new target for the diagnosis and treatment of liver cancer.

Background: Altered cytokine levels have been associated with poor outcomes among COVID-19 patients. TNF-α, IL-8 and IL-10 are key cytokines in COVID-19 pathogenesis, and CXCR-2 is a major chemokine receptor involved in inflammatory response. Polymorphisms in the genes of these proteins are proposed to influence disease outcomes. In this study, we aimed to find out the association of genetic polymorphisms in TNF-α, IL-8, IL-10 and CXCR-2 genes with susceptibility to and mortality of COVID-19. Methods: The present case-control study was conducted on 230 subjects, among whom 115 were clinically diagnosed and RT-PCR-confirmed COVID-19 patients and 115 healthy control subjects. The polymorphisms in TNFα -308 G>A (rs1800629), IL-8 -251T>A (rs4073), CXCR2 +785 C>T (rs2230054) genes were detected by ARMS -PCR assay whereas for IL-10 (-1082 G>A), rs1800896 G>A allele-specific PCR assay was used and their association with COVID-19 susceptibility and mortality was estimated by multivariate analysis. The results were analyzed for risk of infection and mortality through different inheritance models. Results: Frequencies of TNF-α rs1800629 GA, AA, IL-8 rs4073 TA, AA, IL-10 (-1082 G>A), rs1800896 GA and GG, and CXCR2 rs2230054 CT genotypes were significantly higher in COVID-19 patients compared to the control group (p < 0.05). Furthermore, COVID-19 patients had a higher frequency of the polymorphic A allele of TNF-α, the A allele of IL-8, the G allele of IL-10, and the T allele of CXCR2. The risk of susceptibility to COVID-19 was significantly associated with TNF-α rs1800629 GA, GA+AA genotypes and the A allele, IL-8 rs4073 TA, AA genotypes and A allele, IL-10 rs1800872 GA and CC genotypes and C allele, and CXCR2 rs2230054 CT and CT+CC genotypes. TNF-α-GA and AA genotypes and A allele, IL-8 TA and AA genotypes and A allele and CXCR-2 CC and CT genotypes have significant associations with mortality risk in COVID-19 patients, while GA and GG genotypes of the IL-10 are shown to confer significant protection against mortality from COVID-19. Conclusion: The findings of this study provide important insights into the COVID-19 disease and susceptibility risk. The polymorphisms in TNFα -308 G>A (rs1800629), IL-8 -251T>A (rs4073), IL-10 (-1082 G>A), rs1800896 and CXCR2 +785 C>T (rs2230054) are associated with the risk of susceptibility to COVID-19 and with mortality in COVID-19 patients. Further studies with larger sample sizes are necessary to confirm our findings.

Objectives: Specific methylation sites have shown promise in the early diagnosis of lung adenocarcinoma (LUAD). However, their utility in predicting LUAD prognosis remains unclear. This study aimed to construct a reliable methylation-based predictor for accurately predicting the prognosis of LUAD patients. Methods: DNA methylation data and survival data from LUAD patients were obtained from the TCGA and a GEO series. A DNA methylation-based signature was developed using univariate least absolute shrinkage and selection operators and multivariate Cox regression models. Results: Eight CpG sites were identified and validated as optimal prognostic signatures for the overall survival of LUAD patients. Receiver operating characteristic analysis demonstrated the high predictive ability of the eight-site methylation signature combined with clinical factors for overall survival. Conclusion: This research successfully identified a novel eight-site methylation signature for predicting the overall survival of LUAD patients through bioinformatic integrated analysis of gene methylation markers used in the early diagnosis of lung cancer.

Introduction: Colorectal cancers are the world’s third most commonly diagnosed type of cancer. Currently, there are several diagnostic and treatment options to combat it. However, a delay in detection of the disease is life-threatening. Additionally, a thorough analysis of the exomes of cancers reveals potential variation data that can be used for early disease prognosis. Methods: By utilizing a comprehensive computational investigation, the present study aimed to reveal mutations that could potentially predispose to colorectal cancer. Ten colorectal cancer exomes were retrieved. Quality control assessments were performed using FastQC and MultiQC, gapped alignment to the human reference genome (hg19) using Bowtie2 and calling the germline variants using Haplotype caller in the GATK pipeline. The variants were filtered and annotated using SIFT and PolyPhen2 successfully categorized the mutations into synonymous, non-synonymous, start loss and stop gain mutations as well as marked them as possibly damaging, probably damaging and benign. This mutational profile helped in shortlisting frequently occurring mutations and associated genes, for which the downstream multi-dimensional expression analyses were carried out. Results: Our work involved prioritizing the non-synonymous, deleterious SNPs since these polymorphisms bring about a functional alteration to the phenotype. The top variations associated with their genes with the highest frequency of occurrence included LGALS8, CTSB, RAD17, CPNE1, OPRM1, SEMA4D, MUC4, PDE4DIP, ELN and ADRA1A. An in-depth multi-dimensional downstream analysis of all these genes in terms of gene expression profiling and analysis and differential gene expression with regard to various cancer types revealed CTSB and CPNE1 as highly expressed and overregulated genes in colorectal cancer. Conclusion: Our work provides insights into the various alterations that might possibly lead to colorectal cancer and suggests the possibility of utilizing the most important genes identified for wetlab experimentation.