Publications by authors named "Minhua Rong"

In our studies, cyclin B1 () mRNA and protein were overexpressed in hepatocellular carcinoma (HCC) tissues compared with non-HCC tissues. Moreover, was overexpressed in the serum of HCC patients. The expression of was associated with several crucial clinicopathologic characteristics, and the HCC patients with overexpressed had worse overall survival outcomes.

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To date, the clinical management of advanced hepatocellular carcinoma (HCC) patients remains challenging and the mechanisms of E2F transcription factor 1 (E2F1) underlying HCC are obscure. Our study integrated datasets mined from several public databases to comprehensively understand the deregulated expression status of E2F1. Tissue microarrays and immunohistochemistry staining was used to validate E2F1 expression level.

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Background: The situation faced by breast cancer patients, especially those with triple-negative breast cancer, is still grave. More effective therapeutic targets are needed to optimize the clinical management of breast cancer. Although collagen type VIII alpha 1 chain (COL8A1) has been shown to be downregulated in BRIP1-knockdown breast cancer cells, its clinical role in breast cancer remains unknown.

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Interleukin 24 (IL24) has been documented to be highly expressed in several cancers, but its role in laryngeal squamous cell carcinoma (LSCC) remains unclarified. In this study, to reveal the function and its clinical significance of IL24 in LSCC, multiple detecting methods were used comprehensively. IL24 protein expression was remarkably higher in LSCC (n= 49) than non-cancerous laryngeal controls (n= 26) as detected by in-house immunohistochemistry.

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BACKGROUND Oral squamous cell carcinoma (OSCC) is the sixth most prevalent cancer worldwide, with low 5-year survival rate. To identify novel prognostic markers for OSCC and determine the immune and stromal landscape of OSCC, a risk signature for OSCC patients was constructed in this study. MATERIAL AND METHODS Immune and stromal scores for OSCC samples from the Genomic Data Commons Data Portal were computed to delineate the tumor microenvironment landscape of oral cancer based on the Estimation of STromal and Immune cells in MAlignant Tumours using Expression data algorithm.

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Background: Thyroid carcinoma (THCA) is one of the most frequent endocrine cancers and has increasing morbidity. Annexin A2 (ANXA2) has been found to be highly expressed in various cancers; however, its expression level and potential mechanism in THCA remain unknown. This study investigated the clinicopathological value and primary molecular machinery of ANXA2 in THCA.

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Cadherin EGF LAG seven-pass G-type receptor 3 (CELSR3) has been reported in cancers but its role and potential molecular mechanism in hepatocellular carcinoma (HCC) is unclear. Therefore, we aimed to investigate the clinical value and molecular mechanism of CELSR3 in HCC using an experiment, a meta-analysis and bioinformatics. The experiment determined the promoting effect of CELSR3 in the proliferation, invasion, and migration of HCC cells.

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Following publication of the original article [1], the authors reported that they had misspelt the name of a cell line and supplied the incorrect Fig. 7 for publication.

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Pancreatic adenocarcinoma (PAAD), the most common subtype of pancreatic cancer, is a highly lethal disease. In this study, we integrated the expression profiles of splicing factors (SFs) of PAAD from RNA-sequencing data to provide a comprehensive view of the clinical significance of SFs. A prognostic index (PI) based on SFs was developed using the least absolute shrinkage and selection operator (LASSO) COX analysis.

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Background: The implication of miR-452-5p and its prospective machinery in hepatocellular carcinoma (HCC) remains largely unknown. For this reason, this study aimed to inspect the clinical implication of miR-452-5p expression in HCC tissues with multiple detection approaches, to analyze its potential function via methods, and to validate this using a dual-luciferase reporter assay.

Methods: The assessment of the expression level of miR-452-5p in HCC was conducted via four methods: 1) in-house real-time quantitative PCR (RT-qPCR), 2) miRNA-sequencing (miRNA-seq) from The Cancer Genome Atlas (TCGA), 3) miRNA microarrays from the Gene Expression Omnibus (GEO), and 4) comprehensive meta-analyses calculating the standard mean difference (SMD) and summary of receiver operator characteristic (sROC).

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Breast cancer (BC) is the most common cancer worldwide. However, the expression and potential mechanism of miR-375 in BC are still controversial. We first collected microRNA chips and microRNA sequencing data from multiple databases for analyzing the expression level of miR-375, and further exploring the target genes and underlying molecular mechanism in BC.

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Cinobufotalin is a chemical compound extracted from the skin of dried bufo toads that may have curative potential for certain malignancies through different mechanisms; however, these mechanisms remain unexplored in breast cancer. The aim of the present study was to investigate the antitumor mechanism of cinobufotalin in breast cancer by using microarray data and in silico analysis. The microarray data set GSE85871, in which cinobufotalin exerted influences on the MCF‑7 breast cancer cells, was acquired from the Gene Expression Omnibus database, and the differentially expressed genes (DEGs) were analyzed.

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HOX transcript antisense RNA (HOTAIR), a newly discovered long noncoding RNA (lncRNA), has been reported to be a poor prognostic marker in many types of cancers. The current study attempted to investigate the biological roles and clinicopathlogical implications of HOTAIR in hepatocellular carcinoma (HCC), as well as understand the molecular mechanisms of HOTAIR in HCC progression. HOTAIR expression in 95 HCC patients with paired HCC tissues and adjacent non‑cancer tissues were investigated using quantitative reverse transcription‑polymerase chain reaction.

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Article Synopsis
  • Reduced levels of miR-204-5p were investigated in hepatocellular carcinoma (HCC) to determine its expression and clinical importance, with a focus on its relationship to malignant features.
  • Researchers analyzed 95 tissue samples using qRT-PCR and discovered that miR-204-5p expression was significantly lower in HCC compared to nearby healthy tissue, particularly in advanced stages and cases with metastasis.
  • Although miR-204-5p was downregulated and associated with important biological pathways related to cancer, there was no significant link found between its levels and patient survival outcomes.
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Background: Atosiban is administered to women undergoing in vitro fertilization-embryo transfer (IVF-ET) to improve pregnancy outcomes. However, the results of this treatment were controversial. We conducted this meta-analysis to investigate whether atosiban improves pregnancy outcomes in the women undergoing in vitro fertilization (IVF).

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Although miR-132 has been studied in various human tumors, few studies have investigated the role of miR-132 in hepatocellular carcinoma (HCC). The present study aimed to evaluate the associations between miR-132 and clinicopathological parameters, including recurrence, in patients with HCC. Reverse transcription-quantitative polymerase chain reaction analysis was used to detect the expression levels of miR-132 in 95 cases of HCC and their corresponding non-cancerous liver tissues.

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Objectives: Previous studies have demonstrated that microRNA-132 plays a vital part in and is actively associated with several cancers, with its tumor-suppressive role in hepatocellular carcinoma confirmed. The current study employed multiple bioinformatics techniques to establish gene signatures for hepatocellular carcinoma, microRNA-132 predicted target genes and the corresponding overlaps.

Methods: Various assays were performed to explore the role and cellular functions of miR-132 in HCC and a successive panel of tasks was completed, including NLP analysis, miR-132 target genes prediction, comprehensive analyses (gene ontology analysis, pathway analysis, network analysis and connectivity analysis), and analytical integration.

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Purpose: The aim of the present meta-analysis and systematic review was to explore the association between the expression of miR-34a and prognosis in solid tumor.

Methods: PubMed, Google Scholar, Web of Science and NCBI databases were used to search studies to evaluate the effect of miR-34a expression on clinical outcomes, including overall survival (OS), recurrence-free survival (RFS), disease-free survival (DFS), progression-free survival (PFS) and event-free survival (EFS) in solid tumor. The pooled random effect models were performed to calculate pooled hazard ratio (HR), 95% confidence interval (CI) to assess the association.

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Background: Although some recent reports have shown that the expression level of miR-193a varied in different cancers, its role in hepatocellular carcinoma (HCC) remains unidentified. The aim of the current study was to validate the relationship between miR-193a-3p and clinicopathological characteristics in HCC patients.

Material And Methods: Expression of miR-193a-3p in 95 HCC cases and their corresponding peritumoral tissues (PT) was examined by using quantitative reverse transcription polymerase chain reaction (qRT-PCR).

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Unlabelled: Hepatocellular carcinoma (HCC), a primary malignancy of the liver, is associated with high mortality rate and poor prognosis. Emerging evidence showed that novel biomarkers are required toward a better understanding of the biological mechanisms of HCC. NEAT1 (nuclear paraspeckle assembly transcript 1, also known as MENε/β), a novel long non-coding RNA (lncRNA), serves as a crucial regulator in several cancers.

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Background: Although recent studies have shown the utility of miR-203 as a cancer-relevant biomarker, the validated clinical significance of miR-203 in HCC remains obscure. The aim of the present study was to evaluate the relationship between miR-203 expression and clinicopathological features in HCC patients.

Methods: MiR-203 expression in 95 formalin-fixed, paraffin embedded (FFPE) HCC tissues and their paired adjacent non-cancerous tissues was evaluated by quantitative reverse transcription polymerase chain reaction (qRT-PCR).

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Geographic information system (GIS) technology has useful applications for epidemiology, enabling the detection of spatial patterns of disease dispersion and locating geographic areas at increased risk. In this study, we applied GIS technology to characterize the spatial pattern of mortality due to liver cancer in the autonomous region of Guangxi Zhuang in southwest China. A database with liver cancer mortality data for 1971-1973, 1990-1992, and 2004-2005, including geographic locations and climate conditions, was constructed, and the appropriate associations were investigated.

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