Publications by authors named "Jianlv Huang"
Hepatitis B virus infection is associated with liver disease, including cancers. In this study, we assessed the power of sex-determining region Y (SRY)-related high-mobility group (HMG)-box 4() gene to predict the clinical course of hepatocellular carcinoma (HCC). To evaluate the differential expression of and its diagnostic and prognostic potential in HCC, we analyzed the GSE14520 dataset.
View Article and Find Full Text PDFThe purpose of this investigation was to explore the prognostic value of phospholipase C delta (PLCD) genes in early stage pancreatic ductal adenocarcinoma (PDAC) and its potential molecular mechanisms. The prognostic value of PLCD genes in early stage PDAC was assessed using the Kaplan-Meier method and multivariate Cox proportional hazards regression model. Genome-wide correlation analysis was performed on PLCD3 to identify the highly correlated genes in the transcriptome.
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- The study investigates biomarkers and pathways linked to hepatocellular carcinoma (HCC) caused by hepatitis B virus (HBV), using datasets from GSE14520 and The Cancer Genome Atlas.
- Differentially expressed genes (DEGs) were identified, leading to the discovery of pathways associated with HCC, including the cell cycle and p53 pathways, with 11 hub DEGs highlighted through weighted gene co-expression network analysis (WGCNA).
- Certain DEGs were linked to poor clinical outcomes and could serve as diagnostic and prognostic biomarkers for HBV-related HCC, potentially improving understanding of hepatocarcinogenesis.
The present study aimed to determine the clinical significance and potential molecular mechanisms of C‑C motif chemokine receptor (CCR) genes in patients with early‑stage pancreatic ductal adenocarcinoma (PDAC). The transcriptomic, survival and clinical data of 112 patients with early‑stage PDAC who underwent pancreaticoduodenectomy were obtained from The Cancer Genome Atlas. The prognostic values of the CCR genes involved in early‑stage PDAC were evaluated using Kaplan‑Meier analysis and the multivariate Cox proportional risk regression model, and the potential molecular mechanisms were determined using bioinformatics tools.
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- The study aims to identify a competing endogenous RNA (ceRNA) network by analyzing dysregulated RNAs in hepatocellular carcinoma (HCC) using data from The Cancer Genome Atlas (TCGA).
- The research involved examining RNA sequencing data to discover differentially expressed genes (DEGs), microRNAs, and long non-coding RNAs, ultimately identifying key dysregulated RNAs that contribute to a prognostic signature for overall survival (OS) in HCC patients.
- The findings suggest that the constructed ceRNA network and identified prognostic signature serve as independent indicators for HCC patient survival, with significant enrichment in biological processes related to the cell cycle and cell proliferation.
The present study aimed to investigate the clinical significance and prospective molecular mechanism of cystatin (CST) genes in patients with hepatitis B virus (HBV)‑related hepatocellular carcinoma (HCC). The role of CST genes in the molecular mechanism of HCC was revealed through bioinformatics analysis. The clinical significance of CST genes was investigated using GSE14520‑derived data from patients with HBV‑related HCC.
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- * The variant -rs1057868 is linked to improved overall survival in HBV-related HCC patients, while high mRNA expression also correlates with better outcomes, although neither showed significant effects on recurrence-free survival.
- * Nomograms were created to predict overall survival, and gene set enrichment analysis indicated several gene sets might relate to survival and treatment response in liver cancer.