Upregulation of Fucosyltransferase 3, 8 and protein O-Fucosyltransferase 1, 2 genes in esophageal cancer stem-like cells (CSLCs)

Recently, studies have shown that Fucosylation plays an important role in the invasion and metastatic process of CSLCs. Understanding the expression pattern of fucosyltransferase (FUT) genes may help to suggest better-targeted therapy strategies for esophageal squamous cell carcinoma (ESCC). The study aimed to address the expression pattern of FUT gene variants in esophageal CSLCs and parental adherent cells. Sphere formation method was used to enrich CSLCs. Expression of FUT genes was examined in tumor sphere and parental adherent cells using the RT-PCR method and then relative expression of detected variants was performed by the Real-Time PCR method in both groups. The detected FUTs, also, were assessed in fresh ESCC tumors and the matched healthy controls. Analysis of The cell surface carbohydrate Lewis x (LeX, CD15) was performed by flow cytometry. Molecular analysis showed that the expression of FUT 3, 8 and POFUT1, 2 genes in tumorsphere were significantly higher than parental adherent cells. Analysis of fresh ESCC tumor tissues and the matched healthy controls showed that FUT8 and POFUT1, 2 genes in contrast to FUT 3 have higher expression in tumor tissues than controls. Flow cytometric analyses revealed that tumorsphere and their parent cells do not differ significantly in Lewis x surface marker. The present study showed that FUT 3, 8 and POFUT1, 2 genes upregulated in esophageal CSLCs in comparison to adherent cells. Understanding the expression pattern of FUT gene variants may help to suggest better-targeted therapy strategies for ESCC.     

Identification of a DNA methylome signature of esophageal squamous cell carcinoma and potential epigenetic biomarkers

Esophageal squamous cell carcinoma (ESCC) is believed to arise from esophageal mucosa through accumulation of both genetic and epigenetic changes. DNA methylation is a critical epigenetic mechanism involved in key cellular processes and its deregulation has been linked to many human cancers, including ESCC. The aim of this study is to examine the global deregulation of methylation states in ESCC and identify potential early biomarkers. With this purpose, we performed a bead array analysis of more than 800 cancer-related genes in ten ESCC samples, ten matched surrounding tissues and four esophageal mucosa from healthy individuals. Pyrosequencing was used for validation of DNA methylation changes in up to 106 cases and 27 controls. A total of 37 CpG sites were found to be differentially methylated between tumors and surrounding tissues. These CpG sites were significantly enriched in genes related to several pathways including IL-10 anti-inflammatory signaling pathway and cell communication pathway. In addition, by comparing with healthy esophageal mucosa, we identified TFF1 gene as a potential early marker of ESCC. This is the first study to address methylation changes in ESCC in a large set of genes. Methylome analysis is shown as a sensitive and powerful tool to identify molecular players in ESCC. These data should prove to be the reference for future studies identifying potential biomarkers and molecular targets in ESCC.     

Differential expression of miR-195 in esophageal squamous cell carcinoma and miR-195 expression inhibits tumor cell proliferation and invasion by targeting of Cdc42

MicroRNAs (miRNA) have played an important role in carcinogenesis. In this study, Agilent miRNA microarray was used to identify differentially expressed miRNAs in esophageal squamous cell carcinoma (ESCC) tissues and miR-195 was downregulated in ESCC compared with normal esophageal tissues. Moreover, Cdc42 was confirmed as target gene of miR-195. Ectopic expression of miR-195 in ESCC cells significantly downregulated Cdc42 by directly binding its 3′ untranslated regions, and induced G1 cell cycle arrest, leading to a significant decrease in cell growth, migration, and invasion in vitro. Therefore, our findings demonstrated that miR-195 may act as a tumor suppressor in ESCC by targeting Cdc42.     

Identification of a DNA methylome signature of esophageal squamous cell carcinoma and potential epigenetic biomarkers

Esophageal squamous cell carcinoma (ESCC) is believed to arise from esophageal mucosa through accumulation of both genetic and epigenetic changes. DNA methylation is a critical epigenetic mechanism involved in key cellular processes and its deregulation has been linked to many human cancers, including ESCC. The aim of this study is to examine the global deregulation of methylation states in ESCC and identify potential early biomarkers. With this purpose, we performed a bead array analysis of more than 800 cancer-related genes in ten ESCC samples, ten matched surrounding tissues and four esophageal mucosa from healthy individuals. Pyrosequencing was used for validation of DNA methylation changes in up to 106 cases and 27 controls. A total of 37 CpG sites were found to be differentially methylated between tumors and surrounding tissues. These CpG sites were significantly enriched in genes related to several pathways including IL-10 anti-inflammatory signaling pathway and cell communication pathway. In addition, by comparing with healthy esophageal mucosa, we identified TFF1 gene as a potential early marker of ESCC. This is the first study to address methylation changes in ESCC in a large set of genes. Methylome analysis is shown as a sensitive and powerful tool to identify molecular players in ESCC. These data should prove to be the reference for future studies identifying potential biomarkers and molecular targets in ESCC.     

Identification of over-expressed genes in human renal cell carcinoma by combining suppression subtractive hybridization and cDNA library array

To isolate the over-expressed genes in human renal cell carcinoma (RCC) and analyze its molecular basis of carcinogenesis, we used the mRNA from human RCC tissues as tester and that from the matched normal kidney tissues as driver to construct the suppression subtractive hybridization library. 379 of the subtracted clones were arrayed onto a nylon membrane and the over-expressed genes were then screened by hybridizing the filter with radioactively labeled cDNA from RCC and matched normal kidney tissues. 67 clones over-expressed in RCC by a factor of 6 or more were sequenced and its identities were analyzed in GenBank database. 4 clones were previously unknown fragments and 2 clones represent KIAA genes. The rest clones were the known genes and some of them were RCC-related, including vascular endothelial growth factor, vimentin and tissue factor. Most of the known genes were the RCC-related genes previously unknown, including zinc ribbon domain-containing 1 protein (ZNRD1), pituitary tumor transforming gene1 (PTTG1). Northern blot and semi-quantitative RT-PCR confirmed that the mRNA levels of the 3 novel fragments and 1 KIAA and 3 known genes were significantly higher in RCC than in the matched normal kidney tissues. Immunohistochemical and Western blot analysis for PTTG1 and ZNRD1 revealed increased protein level in RCC. The over-expressed genes in RCC are the potential molecular targets for diagnosis and therapy and it is very important to understand the molecular mechanism of RCC through the profile of over-expressed genes.     

Identification of over-expressed genes in human renal cell carcinoma by combining suppression subtractive hybridization and cDNA library array

Renal cell carcinoma (RCC) is a common uro- genital malignancy and often shows odd biological features. RCC accounts for approximately 2% of ma- lignancies worldwide. The incidence of and mortality from RCC have continuously increased during the last 50 years. One third of the patients already have me- tastases when first consulting the doctors. Another 30%—40% of patients develop metastasis after surgi- Identification of over-expressed genes in human RCC 149 cal excision of the pri…     

Proteomic analysis of global alteration of protein expression in squamous cell carcinoma of the esophagus

Squamous cell carcinoma of the esophagus (ESCC), a major subtype of esophageal carcinoma, is one of the aggressive cancers with worst prognosis in the world. The dismal outcome of ESCC is attributed to multiple reasons including its aggressive nature, largely unknown molecular mechanism of its progression, and the lack of biomarkers for early detection and effective prediction of its clinical behavior. To identify proteins with prognostic and/or predictive value, we applied a proteomics strategy to quantify proteins differentially expressed in ESCC using matched samples of carcinoma and adjacent normal epithelial cells. The analysis led to identification of 28 proteins aberrantly expressed in cancer cells with changes of at least three-fold in ESCC relative to normal squamous epithelial cells. These changes represent functional alterations of essential proteins for normal cellular physiology, accounting for many cellular changes involved in development of ESCC, including cell transformation, loss of differentiation, tumor growth, apoptosis, tumor invasion, and cell metabolism. The differentially expressed proteins shed new insights on the mechanism of tumorigenesis and provide candidate biomarkers for early detection of ESCC.     

Isolation of differentially expressed genes in human heart tissues

We applied RNA arbitrarily primed-PCR (RAP-PCR) to screen the genes differentially expressed between common congenital heart defects (CHD) [atrial septal defect, ventricular septal defect, Tetrology of Fallot (TOF)] and normal human heart samples. Three of these differentially amplified fragments matched cDNA sequences coding for proteins of unknown function in humans: hCALO (human homologue of calossin), NP79 (coding for a nuclear protein of 79KD) and SUN2 (Sad-1 unc-84 domain protein 2). The other four fragments were from known human genes: apolipoprotein J, titin, dystrophin and protein kinase C-delta. Northern blot analysis confirmed that all of these genes are expressed in the human heart. The results of RAP-PCR were reconfirmed by quantitative RT-PCR in TOF and control heart samples. Both techniques showed the levels of expression of hCALO, NP79 and SUN2 to be comparable in TOF and control samples and the level of expression of dystrophin and titin, both coding for cytoskeletal proteins, to be significantly upregulated in TOF samples. In summary, we have shown that the RAP-PCR technique is useful in the identification of differentially expressed gene from biopsy samples of human CHD tissues. In this manner, we have identified three novel genes implicated in the normal function of the human heart and two known genes upregulated in TOF samples.     

Comparative expression analysis of four breast cancer subtypes versus matched normal tissue from the same patients

Gene expression studies have been widely used in an effort to identify signatures that can predict clinical progression of cancer. In this study we focused instead on identifying gene expression differences between breast tumors and adjacent normal tissue, and between different subtypes of tumor classified by clinical marker status. We have collected a set of 20 breast cancer tissues, matched with the adjacent pathologically normal tissue from the same patient. The cancer samples representing each subtype of breast cancer identified by estrogen receptor ER(+/-) and Her2(+/-) status and divided into four subgroups (ER+/Her2+, ER+/Her2-, ER-/Her2+, and ER-/Her2-) were hybridized on Affymetrix HG-133 Plus 2.0 microarrays. By comparing cancer samples with their matched normal controls we have identified 3537 overall differentially expressed genes using data analysis methods from Bioconductor. When we looked at the genes in common of the four subgroups, we found 151 regulated genes, some of them encoding known targets for breast cancer treatment. Unique genes in the four subgroups instead suggested gene regulation dependent on the ER/Her2 markers selection. In conclusion, the results indicate that microarray studies using robust analysis of matched tumor and normal samples from the same patients can be used to identify genes differentially expressed in breast cancer tumor subtypes even when small numbers of samples are considered and can further elucidate molecular features of breast cancer.     

Identification of BCOX1, a novel gene overexpressed in breast cancer

The identification of tumor-associated antigens, which are specifically expressed in cancer tissues, is of utmost important for immunotherapy of breast cancer. We have combined in silico screening and experimental expression analysis to identify genes that are differentially expressed in breast carcinomas compared with their corresponding normal tissues. Using these approaches, we identified a novel gene, BCOX1, with overexpression in breast carcinoma. BCOX1 was highly homologous to KIAA0100, a hypothetical gene located on chromosome 17q11.2. RNA in situ hybridization shows that BCOX1 mRNA signal is mainly located in the cytoplasm of breast carcinoma epithelial cells, but not in those of normal epithelial cells, stroma cells and lymphocytes. Furthermore, mRNA expression of BCOX1 was moderately elevated in ductal in situ carcinoma (DCIS), peaked in invasive breast carcinoma (IBC) and metastatic breast carcinoma cells (MET) whereas absent in benign ductal epithelial cells. The predicted BCOX1 open reading frame of 666 bp encodes a putative protein of 222 amino acid residues with a calculated molecular weight of 2,4920 Da and a PI of 5.86. Computational analyses predict that the putative BCOX1 protein is a cytoplasmic protein. The functional relevance of this novel gene is yet to be determined. This study warrants further investigations to explore the molecular functions of BCOX1, and to determine its potential diagnostic and therapeutic applications for breast cancer.     

Identification of differentially expressed genes in normal and tumor human gastric tissue

The search for differentially expressed genes in gastric cancer may help define molecular alterations and molecular diagnosis of gastric cancer. Using the differential display PCR technique, we identified 18 genes that are differentially expressed between normal and tumor human gastric tissues. Their expressions were verified with reverse Northern blot analysis and Northern blot analysis. Oxidative phosphorylation-related genes, antizyme inhibitor of ornithine decarboxylase, protein phosphatase-1beta, 35-kDa peroxisomal membrane protein, and cystic fibrosis transmembrane conductance receptor were highly expressed in tumor tissue, whereas pepsinogen A, Na-K ATPase alpha subunit, nerve growth factor receptor, and alpha-tropomyosin were highly expressed in normal tissue. In addition, 3 unknown genes were found to be differentially expressed in paired gastric tissues. These differentially expressed genes may provide significant opportunities for further understanding of gastric carcinogenesis and the molecular diagnosis of gastric cancer.