A Novel Gene Pair CSTF2/DPE2A Impacts Prognosis and Cell Cycle of Hepatocellular Carcinoma

Abnormal expression of serum miR-4746-5p in liver cancer patients after interventional chemotherapy and its possible mechanism

Interventional chemotherapy is a common operation in the clinical treatment of liver cancer. The aim of this study was to investigate the expression and molecular mechanism of serum miR-4746-5p in liver cancer patients before and after interventional chemotherapy. The levels of miR-4746-5p and CDKN1C in serum samples from liver cancer patients were detected using real-time fluorescence quantitative polymerase chain reaction. Receiver operating characteristic curves revealed the diagnostic value of miR-4746-5p in tumors. Differences in clinical indicators between liver cancer patients and healthy controls were assessed using Pearson correlation analysis. Luciferase reporter gene assays confirmed the targeted interaction between miR-4746-5p and CDKN1C. In vitro cellular assays were validated by Cell Counting Kit-8, Transwell assay, and chemoresistance assay. Serum miR-4746-5p levels were increased in liver cancer patients but were downregulated after chemotherapy intervention. CDKN1C expression showed the opposite trend. Low levels of miR-4746-5p mediated cell growth and metastasis by targeting and negatively regulating CDKN1C expression, while silencing CDKN1C restored cell activity. Inhibition of miR-4746-5p reduced chemoresistance, while downregulation of CDKN1C affected cell sensitivity. miR-4746-5p may be a potential therapeutic factor for liver cancer diagnosis and interventional chemotherapy.

Improving the quality of quantitative polymerase chain reaction experiments: 15 years of MIQE

The quantitative polymerase chain reaction (qPCR) is fundamental to molecular biology. It is not just a laboratory technique, qPCR is a bridge between research and clinical practice. Its theoretical foundations guide the design of experiments, while its practical implications extend to diagnostics, treatment, and research advancements in the life sciences, human and veterinary medicine, agriculture, and forensics. However, the accuracy, reliability and reproducibility of qPCR data face challenges arising from various factors associated with experimental design, execution, data analysis and inadequate reporting details. Addressing these concerns, the Minimum Information for the Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines have emerged as a cohesive framework offering a standardised set of recommendations that describe the essential information required for assessing qPCR experiments. By emphasising the importance of methodological rigour, the MIQE guidelines have made a major contribution to improving the trustworthiness, consistency, and transparency of many published qPCR results. However, major challenges related to awareness, resources, and publication pressures continue to affect their consistent application.

Establishment and verification of a prognostic model based on coagulation and fibrinolysis-related genes in hepatocellular carcinoma

BACKGROUND

Studies have shown that coagulation and fibrinolysis (CFR) are correlated with Hepatocellular carcinoma (HCC) progression and prognosis. We aim to build a model based on CFR-correlated genes for risk assessment and prediction of HCC patient.

METHODS

HCC samples were selected from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases respectively. The Molecular Signatures Database (MSigDB) was used to select the CFR genes. RiskScore model were established by single sample gene set enrichment analysis (ssGSEA), weighted correlation network analysis (WGCNA), multivariate Cox regression analysis, LASSO regression analysis.

RESULTS

PCDH17, PGF, PDE2A, FAM110D, FSCN1, FBLN5 were selected as the key genes and designed a RiskScore model. Those key genes were Differential expressions in HCC cell and patients. Overexpression PDE2A inhibited HCC cell migration and invasion. The higher the RiskScore, the lower the probability of survival. The model has high AUC values in the first, third and fifth year prediction curves, indicating that the model has strong prediction performance. The difference analysis of clinicopathological features found that a great proportion of high clinicopathological grade samples showed higher RiskScore. RiskScore were positively correlated with immune scores and TIDE scores. High levels of immune checkpoints and immunomodulators were observed in high RiskScore group. High RiskScore groups may benefit greatly from taking traditional chemotherapy drugs.

CONCLUSIONS

We screened CFR related genes to design a RiskScore model, which could accurately evaluate the prognosis and survival status of HCC patients, providing certain value for optimizing the clinical treatment of cancer in the future.