Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Identification of NUCKS1 as a putative oncogene and immunodiagnostic marker of hepatocellular carcinoma

ABSTRACT: Purpose: Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-associated mortality worldwide. Although the molecular mechanisms underpinning HCC are unknown, gene copy number and associated mRNA expression changes are frequently reported. Experimental Design: Comparative genomic hybridization arrays spotted with 4,041 bacterial artificial chromosome clones were used to assess copy number changes in 45 HCC tissues to identify chromosomal regions associated with the pathogenesis of HCC. Seventy more HCC tissues were used to validate candidate genes by using western blots and immunohistochemistry. Results: A total of 259 clones were associated with copy number changes that significantly differed between normal liver and HCC samples. The chromosomal region 1q32.1 containing the nuclear casein kinase and cyclin-dependent kinase substrate 1 (NUCKS1) gene was associated with tumor vascular invasion. Western blot analysis demonstrated that NUCKS1 was up-regulated in 37 of 70 (52.8%) HCC tissues compared with adjacent non-tumor tissues, and over-expressed in a vast majority of HCCs (44/52, 84.6%) as determined by immunohistochemical staining. Furthermore, immunostaining of both NUCKS1 and glypican-3 improved the diagnostic prediction of HCC. Knock-down of NUCKS1 by siRNA decreased the cell viability of the Hep3B cell line and reduced tumor formation in a xenograft mouse model. Functional enrichment analysis revealed the association of NUCKS1 with signal transduction, immunity and defense, and nucleotide metabolism pathways. Conclusions: NUCKS1 was identified as a potential oncogene at chromosomal 1q32.1 in patients with HCC, and it might be a valuable immunodiagnostic marker for HCC. Comparative genomic hybridization arrays spotted with 4,041 bacterial artificial chromosome clones were used to assess copy number changes in 45 HCC tissues and 25 normal liver tissues to identify chromosomal regions associated with the pathogenesis of HCC

ORGANISM(S): Homo sapiens

SUBMITTER: Jaeyoun Cheong

PROVIDER: E-GEOD-65237 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Chromosomal DNA copy number alterations are a hallmark of human malignancies, including hepatocellular carcinoma (HCC). However, which oncogenes or tumor suppressors located on regions with DNA copy number aberration may contribute to HCC initiation and progression still remain obscure. Here we performed a genome-wide DNA copy number analysis on human HCC samples to identify novel potential oncogenes or tumor suppressors with DNA copy number aberrations. Genome-wide DNA copy numbers analysis was performed with single nucleotide polymorphism micoarray. RT-PCR and immunohistochemical staining were employed to evaluate the NOXIN expression in HCC samples. Colony formation, cell cycle analysis and tumor xenograft assays were performed to assess the role of NOXIN in HCC cells. Reciprocal co-immunoprecipitation experiments were used to detect the interaction between NOXIN and DNA polymerase a primase. Genome-wide DNA copy number analysis on 43 paired HCC samples indentified the smallest DNA amplification region containing NOXIN, along with the elevated transcript. NOXIN overexpression was significantly associated with HCC tumor stage. Enforced NOXIN promoted cellular proliferation, colony formation, cell migration and in vivo tumorigenicity, whereas RNA interference against NOXIN can attenuate these effects. Interestingly, NOXIN overexpression can accelerate the G1-S transition of cell cycle progression through enhancing DNA synthesis in HCC cells, as indicated by bromodeoxyuridine incorporation. Furthermore, NOXIN can interact with DNA polymerase a, implying that NOXIN may promote de novo DNA synthesis via affiliating formation of DNA polymerase-primase complex. Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from hepatocellular carcinoma and adjacent liver tissue samples. Copy number analysis of Affymetrix 500K SNP arrays was performed for 43 hepatocellular carcinoma tissue samples, which their adjacent liver tissues were used as references for copy number inference.

Project description:Hepatocellular carcinoma (HCC) is a prevalent human cancer with rising incidence worldwide. Human HCC is frequently associated with chronic liver inflammation and cirrhosis, pathophysiological processes that are a consequence of chronic viral infection, disturbances in metabolism, or exposure to chemical toxicants. To better characterize the pathogenesis of HCC, we used a human disease-relevant mouse model of fibrosis-associated hepatocarcinogenesis. In this model, marked liver tumor response caused by a pro-mutagenic chemical N-nitrosodiethylamine in presence of liver fibrosis was associated with epigenetic events indicative of genomic instability. Therefore, we hypothesized that DNA copy number alterations (CNAs), a feature of genomic instability and a common characteristic of cancer, are concordant between human HCC and mouse models of fibrosis-associated hepatocarcinogenesis. We evaluated DNA CNAs and changes in gene expression in the mouse liver (normal, tumor and non-tumor cirrhotic tissues). In addition, we compared our findings to those in human HCC (tumor and non-tumor cirrhotic/fibrotic tissues). We observed that while fibrotic liver tissue is largely devoid of DNA CNAs, highly frequently occurring DNA CNAs are found in mouse tumors, which is indicative of a profound increase in chromosomal instability in HCC. When compared to CNAs in human HCC, we found that 33% of genes in these segments are similarly affected in the mouse tumors. Our results suggest that CNAs most commonly arise in neoplastic tissue rather than in fibrotic liver, and demonstrate the utility of this mouse model in replicating the molecular features of human HCC. Genomic DNA was extracted from frozen liver samples from vehicle-control and DEN+CCl4-treated mice using a DNEasy kit (Qiagen, Valencia, CA). Eighteen mouse tumor samples were included in the study, as well as 18 matched non-tumor samples taken from fibrotic, non-tumorous, surrounding liver tissue from the same mice. Liver DNA from 6 vehicle control-mice was pooled and used as the reference genome in the aCGH experiments. Copy number alterations were identified using the normalized data.

Project description:Establishment and subsequent validation of a aCGH protocol for WGA (whole genome amplification) products originating from single cell or low amount of starting material (i.e. microdissected FFPE tissue samples). The establishment of the protocol involved testing of three DNA labeling protocols. Two labeling protocols were designed specifically for Ampli1(TM) WGA products. Additionally random primed isothermal (Klenow-based) labeling approach was tested (MM-CM-6hlendick et al., PLoS One. 2013 Jun 25;8(6):e67031.). In addition two different types of reference samples were tested and reference based on single-cell WGA products was chosen as most suitable in the end. The validation of the protocol assessed the following aspects: (1) performance of the protocol on primary and reamplified WGA products, (2) accuracy of the protocol in term of sensitivity of the CNA detection, (3) accuracy in terms of recapitulation of complex patterns of CNAs, (4) accuracy in terms of quantitative assessment of the CNAs, (5) ability to detect genomic heterogeneity of single cells (obtained either from in vitro cultures or from clinical patient material), (6) ability to detect minimal regions of aberration within a panel of disseminated cancer cells and corresponding tumor tissues. Establishment and validation of the single-cell aCGH protocol: two condition experiment (i.e. PCR-based labeling technique 1 vs. PCR-based labeling technique 2; PCR-based labeling technique 2 vs. random-primed isothermal (Klenow) labeling approach; reference DNA from cell pool WGA product vs. reference DNA from single-cell WGA products). Validation of the protocol: comparison of the CNA profiles between single-cell WGA products and corresponding bulk DNA. Analysis of the DCC and corresponding FFPE tumor tissue samples: single-condition experiment performed on samples collected at different stages of the disease (DCCs from bone marrow) and/or from different sites (primary tumor-breast; metastasis-lymph nodes; DCCs-bone marrow). Microarray data is corresponding data depicted in the paper manuscript titled: Reliable single cell array CGH for clinical samples

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Identification of NUCKS1 as a putative oncogene and immunodiagnostic marker of hepatocellular carcinoma

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