Gene expression profiling of PBMC from normal individuals, chronic hepatitis B carriers and hepatocellular carcinoma patients
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ABSTRACT: Aberrant gene expression analysis between peripheral blood mononuclear cell (PBMC) samples from healthy individuals and patients with chronic hepatitis B carriers and HCC were identified using Affymetrix gene arrays.
Project description:Aberrant gene expression analysis between peripheral blood mononuclear cell (PBMC) samples from healthy individuals and patients with chronic hepatitis B carriers and HCC were identified using Affymetrix gene arrays.M-BM- Peripheral blood mononuclear cell (PBMC) from healthy individuals, patients with patients with chronic hepatitis B carriers and HCC were isolated and total RNA was extracted for Affymetrix gene microarray analysis.
Project description:Aberrant gene expression analysis between peripheral blood mononuclear cell (PBMC) samples from healthy individuals and patients with pancreatic carcinoma, gastric carcinoma and hepatocellular carcinoma (HCC) were identified using Affymetrix gene arrays. Peripheral blood mononuclear cell (PBMC) from healthy individuals, patients with pancreatic carcinoma, gastric carcinoma and HCC were isolated and total RNA was extracted for Affymetrix gene microarray analysis.
Project description:Background: The pathogenesis of hepatitis B virus (HBV)-caused hepatocellular carcinoma (HCC) is complex and not fully understood. In clinical, the effective prevention and treatment of HCC rely on the accurate diagnosis. We developed a biology network approach to investigate the potential mechanisms and biomarkers of each stages from HBV infection to HCC. Methods Global gene profiling of healthy individuals (HC), HBV carriers (HBVC), chronic hepatitis B patients (CHB), liver cirrhosis (LC) and HCC was analyzed by gene array. Differentially expressed genes (DEG) were found by RVM (Random variance model) corrective ANOVA and STC (Series Test of Cluster) analysis.
Project description:Aberrant gene expression analysis between peripheral blood mononuclear cell (PBMC) samples from healthy individuals and patients with pancreatic carcinoma, gastric carcinoma and hepatocellular carcinoma (HCC) were identified using Affymetrix gene arrays.
Project description:Hepatitis B Virus (HBV) infection affects about 20 million Nigerians and its most fatal complications is the hepatocellular carcinoma (HCC). Chronic hepatitis B (CHB) infection progresses to HCC which lacks sensitive and specific biomarkers at early stage for detection and subsequent treatment. Efforts in this study is therefore to assess the differential gene expression across clinical cohorts of HBV infection to identify the potential biomarkers of early-stage HCC. Total RNA was extracted and the peripheral blood mononuclear cells (PBMC) in 12 samples were sequenced through the bulk RNA sequencing modality. This was followed by bioinformatic analysis for differential gene expression studies using GALAXY, Qiagen RNA-Sequencing Analysis and DAVID pipelines. Transcriptomic analysis of the PBMC identified a total of 66,726 genes and transcripts. Among patients with HBV-Induced HCC vs CHB, a total of 3,204 genes were differentially expressed with 76 and 272 genes significantly upregulated and downregulated respectively. Across the clinical cohorts of HBV-induced HCC vs healthy controls, 4561 were dysregulated with 370 and 375 genes significantly upregulated and downregulated respectively. Across the significantly upregulated genes of the cohort HBV-induced HCC vs healthy controls, 86 Gene ontology (GO) terms were identified, 19 clustered, 103 terms did not cluster, while across the downregulated cohort, 255 GO terms were identified, 63 clustered, 335 did not. The mitogen-activated protein kinase (MAPK) signalling pathway, cell division cycle and microRNA pathways in the HCC cohort were dysregulated
Project description:There has been no report on whether the patients with colorectal cancer who are also inactive Hepatitis B Carriers should receive Prophylactic Use or preemptive Use of an Anti-viral Drug Entecavir. This open, randomized controlled clinical trial aims to compare the impact of the prophylactic use or preemptive use of an anti-viral drug Entecavir on the outcomes of patients with colorectal cancer who are also inactive hepatitis B carriers during chemotherapy and the subsequent follow-ups.
Project description:Genome-wide DNA methylation profiling was performed in peripheral leukocytes to identify biomarkers that could track hepatitis B progression to hepatocellular carcinoma (HCC). Samples included 48 HBsAg carriers who developed HCC and 48 HBsAg carriers who did not during follow-up.
Project description:Gene expression profiling of hepatocellular carcinoma (HCC) and background liver has been studied extensively; however, the relationship between the gene expression profiles of different lesions has not been assessed. We examined the expression profiles of 34 HCC specimens (17 hepatitis B virus [HBV]-related and 17 hepatitis C virus [HCV]-related) and 71 non-tumor liver specimens (36 chronic hepatitis B [CH-B] and 35 chronic hepatitis C [CH-C]) using an in-house cDNA microarray consisting of liver-predominant genes. Graphical Gaussian modeling (GGM) was applied to elucidate the interactions of gene clusters among the HCC and non-tumor lesions. Gene expression profiling of HCC and non-tumor lesions revealed the predisposing changes of gene expression in HCC. This approach has potential for the early diagnosis and possible prevention of HCC. We examined the expression profiles of 34 HCC specimens (17 hepatitis B virus [HBV]-related and 17 hepatitis C virus [HCV]-related) and 71 non-tumor liver specimens (36 chronic hepatitis B [CH-B] and 35 chronic hepatitis C [CH-C]) using an in-house cDNA microarray consisting of liver-predominant genes. Graphical Gaussian modeling (GGM) was applied to elucidate the interactions of gene clusters among the HCC and non-tumor lesions.
Project description:Gene expression profiling of hepatocellular carcinoma (HCC) and background liver has been studied extensively; however, the relationship between the gene expression profiles of different lesions has not been assessed. We examined the expression profiles of 34 HCC specimens (17 hepatitis B virus [HBV]-related and 17 hepatitis C virus [HCV]-related) and 71 non-tumor liver specimens (36 chronic hepatitis B [CH-B] and 35 chronic hepatitis C [CH-C]) using an in-house cDNA microarray consisting of liver-predominant genes. Graphical Gaussian modeling (GGM) was applied to elucidate the interactions of gene clusters among the HCC and non-tumor lesions. Gene expression profiling of HCC and non-tumor lesions revealed the predisposing changes of gene expression in HCC. This approach has potential for the early diagnosis and possible prevention of HCC.
Project description:Saliva is rich in proteins, DNA, RNA and microorganisms, and can be regarded as a biomarker library. In order to explore a noninvasive and simple means of early screening for liver cancer, proteomics was used to screen salivary markers of hepatitis B associated liver cancer. We used mass spectrometry coupled isobaric tags for relative and absolute quantitation (iTRAQ)-technology to identify differentially expressed proteins (DEPs). Western blot, immunohistochemistry and enzyme linked immunosorbent assay were used to detect marker expression of in tissues and saliva. Statistical analysis was used to analyze the diagnostic efficacy of the markers was analyzed through statistical analyses. By comparing the hepatocellular carcinoma (HCC) group with non-HCC groups, we screened out 152 salivary DEPs. We found orosomucoid 1(ORM1) had significantly higher expression in saliva of HCC patients compared with non-HCC groups (p<0.001) and the expression of ORM1 in liver cancer tissues was significantly higher than that in adjacent normal tissues(p<0.001). The combination of salivary ORM1 and alpha-fetoprotein (AFP) showed reasonable specificities and sensitivities for detecting HCC. In a word, salivary ORM1 as a new biomarker of hepatitis B associated hepatocellular carcinoma, combination of salivary ORM1 and AFP as an improved diagnostic tool for hepatocellular carcinoma.