Dataset Information

Amplification and overexpression of the EMS 1 oncogene, a possible prognostic marker, in human hepatocellular carcinoma.

ABSTRACT: DNA amplification in cancer cells frequently involves oncogenes whose increased expression confers a selective advantage on tumor cell growth. In an attempt to identify novel oncogenes involved in hepatocarcinogenesis, representational difference analysis (RDA) was performed using DNA from a primary human hepatocellular carcinoma (HCC) that showed high-level DNA amplifications on chromosomes 1p32 and 11q13 by comparative genomic hybridization. Ten amplification fragments were isolated by RDA, and when used to probe Southern blots of tumor DNA, there was a 5- to 50-fold increase in hybridization intensity relative to normal DNA. The sequence of one amplification product matched that of the EMS1 oncogene, which is located on chromosome 11q13 and is amplified in other cancers. We detected EMS1 amplification in 3 of 17 primary HCC. Overexpression of EMS1 mRNA was observed in 12 of 14 HCC cell lines in the absence of gene amplification or an increased copy-number of the gene. The EMS1 gene encodes cortactin, a cortical actin-associated protein that is a substrate for Src kinase and is involved in cytoskeleton organization. Alterations of the EMS1 gene that lead to overexpression of cortactin may be associated with tumor development in HCC. EMS1 amplification and overexpresion is indicative of unfavorable prognosis in several cancers and may have similar prognostic implications in liver cancer.

SUBMITTER: Yuan BZ

PROVIDER: S-EPMC1907373 | biostudies-literature | 2003 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Amplification and overexpression of the EMS 1 oncogene, a possible prognostic marker, in human hepatocellular carcinoma.

Yuan Bao-Zhu BZ Zhou Xiaoling X Zimonjic Drazen B DB Durkin Marian E ME Popescu Nicholas C NC

The Journal of molecular diagnostics : JMD 20030201 1

DNA amplification in cancer cells frequently involves oncogenes whose increased expression confers a selective advantage on tumor cell growth. In an attempt to identify novel oncogenes involved in hepatocarcinogenesis, representational difference analysis (RDA) was performed using DNA from a primary human hepatocellular carcinoma (HCC) that showed high-level DNA amplifications on chromosomes 1p32 and 11q13 by comparative genomic hybridization. Ten amplification fragments were isolated by RDA, an ...[more]

PMID: 12552080

Similar Datasets

Project description:BackgroundHepatocellular carcinoma (HCC) is a leading cause of tumor-associated death worldwide, owing to its high 5-year postoperative recurrence rate and inter-individual heterogeneity. Thus, a prognostic model is urgently needed for patients with HCC. Several researches have reported that copy number amplification of the 8q24 chromosomal region is associated with low survival in many cancers. In the present work, we set out to construct a multi-gene model for prognostic prediction in HCC.MethodsRNA sequencing and copy number variant data of tumor tissue samples of HCC from The Cancer Genome Atlas (n=328) were used to identify differentially expressed messenger RNAs of genes located on the chromosomal 8q24 region by the Wilcox test. Univariate Cox and Lasso-Cox regression analyses were carried out for the screening and construction of a prognostic multi-gene signature in The Cancer Genome Atlas cohort (n=119). The multi-gene signature was validated in a cohort from the International Cancer Genome Consortium (n=240). A nomogram for prognostic prediction was built, and the underpinning molecular mechanisms were studied by Gene Set Enrichment Analysis.ResultsWe successfully established a 7-gene prognostic signature model to predict the prognosis of patients with HCC. Using the model, we divided individuals into high-risk and low-risk sets, which showed a significant difference in overall survival in the training dataset (HR =0.17, 95% CI: 0.1-0.28; P<0.001) and in the testing dataset (HR = 0.42, 95% CI: 0.23-0.74; P=0.002). Multivariate Cox regression analysis showed the signature to be an independent prognostic factor of HCC survival. A nomogram including the prognostic signature was constructed and showed a better predictive performance in short-term (1 and 3 years) than in long-term (5 years) survival. Furthermore, Gene Set Enrichment Analysis identified several pathways of significance, which may aid in explaining the underlying molecular mechanism.ConclusionsOur 7-gene signature is a reliable prognostic marker for HCC, which may provide meaningful information for therapeutic customization and treatment-related decision making.

Project description:Objective: Transcription elongation factor 1 (TCERG1) is a nuclear protein consisted of multiple protein structural domains that plays an important role in regulating the transcription, extension, and splicing regulation of RNA polymerase II. However, the prognostic and immunological role of TCERG1 in human cancer remains unknown. In this study, we analyzed the expression of TCERG1 gene in hepatocellular carcinoma (HCC) patients, its clinical significance, and its possible prognostic value by bioinformatics. Methods: RNA sequencing data and clinicopathological characteristics of patients with HCC were collected from TCGA and CCLE databases. The Wilcoxon rank-sum test was used to analyze the expression of TCERG1 in HCC tissues and normal tissues. The protein levels of TCERG1 between normal and liver cancer tissues were analyzed by the Human Protein Atlas Database (HPA) (www.proteinatlas.org). Validation was performed using the Gene Expression Omnibus (GEO) dataset of 167 samples. The expression of TCERG1 in HCC cells were verified by qRT-PCR, and CCK-8, scratch assay and Transwell assay were performed to detect cell proliferation, migration and invasion ability. According to the median value of TCERG1 expression, patients were divided into high and low subgroups. Logistic regression, GSEA enrichment, TME, and single-sample set gene enrichment analysis (ssGSEA) were performed to explore the effects of TCERG1 on liver cancer biological function and immune infiltrates. TCERG1 co-expression networks were studied through the CCLE database and the LinkedOmics database to analyze genes that interact with TCERG1. Results: The expression levels of TCERG1 in HCC patient tissues were significantly higher than in normal tissues. Survival analysis showed that high levels of TCERG1 expression were significantly associated with low survival rates in HCC patients. Multifactorial analysis showed that high TCERG1 expression was an independent risk factor affecting tumor prognosis. This result was also verified in the GEO database. Cellular experiments demonstrated that cell proliferation, migration and invasion were inhibited after silencing of TCERG1 gene expression. Co-expression analysis revealed that CPSF6 and MAML1 expression were positively correlated with TCERG1. GSEA showed that in samples with high TCERG1 expression, relevant signaling pathways associated with cell cycle, apoptosis, pathways in cancer and enriched in known tumors included Wnt signaling pathway, Vegf signaling pathway, Notch signaling pathway, MAPK signaling pathway and MTOR pathways. The expression of TCERG1 was positively correlated with tumor immune infiltrating cells (T helper two cells, T helper cells). Conclusion: TCERG1 gene is highly expressed in hepatocellular carcinoma tissues, which is associated with the poor prognosis of liver cancer, and may be one of the markers for the diagnosis and screening of liver cancer and the prediction of prognosis effect. At the same time, TCERG1 may also become a new target for tumor immunotherapy.

Dataset Information

Amplification and overexpression of the EMS 1 oncogene, a possible prognostic marker, in human hepatocellular carcinoma.

Publications

Amplification and overexpression of the EMS 1 oncogene, a possible prognostic marker, in human hepatocellular carcinoma.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets