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Home › Dataset Library › The landscape of promoter DNA hypomethylation in liver cancer (expression data)

Dataset: The landscape of promoter DNA hypomethylation in liver cancer (expression data)

Extensive loss of DNA methylation is a hallmark of cancer. The role of hypomethylation in altering gene expression in cancer cells has...

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Extensive loss of DNA methylation is a hallmark of cancer. The role of hypomethylation in altering gene expression in cancer cells has been poorly understood. Hepatic cellular carcinoma (HCC) is one of the most common human cancers. We use HCC as a model to investigate hypomethylation in cancer by a combination of methylated DNA immunoprecipitation and hybridization with comprehensive promoter arrays. We identify approximately 2,800 promoters that are hypomethylated in tumor samples. The hypomethylated promoters appear in clusters across the genome suggesting a high-level organization behind the epigenomic changes in cancer. The genes whose promoters are demethylated are mainly involved in cell growth, cell adhesion and communication, signal transduction, mobility and invasion; functions that are essential for cancer progression and metastasis. Previous studies suggested that MBD2 was involved in demethylation of uPA and MMP2 genes in human breast and prostate cancer cell lines. We extend these results here showing that whereas MBD2 depletion in normal liver cells has little or no effect, its depletion in the human hepatocellular carcinoma cell line HepG2 and the adenocarcinoma cell line SkHep1 results in suppression of cell growth, anchorage-independent growth and invasiveness, as well as an increase in promoter methylation and silencing of several of the genes that are hypomethylated in tumors. Our studies establish for the first time the rules governing hypomethylation of promoters in liver cancer and define the potential functional role of hypomethylation in cancer. Cancerous and normal adjacent tissue samples were obtained from 11 patients with HCC from the Chinese National Human Genome Center at Shanghai, China (Dr. Ze-Guang Han). For three patients, the cancer samples were dissected using the laser capture microdissection technique. Gene expression profiles for these patients were generated using Affymetrix expression microarrays.

Species:
human

Samples:
20

Source:
E-GEOD-29721

Updated:
Dec.12, 2014

Registered:
Sep.16, 2014


Factors: (via ArrayExpress)
Sample PORTAL VEIN INFILTRATION TISSUE PATIENT
GSM737065 non-infiltration microdissected hepatic cellular carcinoma (HCC) 10
GSM737066 normal tissue microdissected normal liver 10
GSM737067 non-infiltration microdissected hepatic cellular carcinoma (HCC) 11
GSM737068 normal tissue microdissected normal liver 11
GSM737069 non-infiltration microdissected hepatic cellular carcinoma (HCC) 12
GSM737070 normal tissue microdissected normal liver 12
GSM73707 non-infiltration microdissected hepatic cellular carcinoma (HCC) 14
GSM737072 normal tissue microdissected normal liver 14
GSM737073 non-infiltration microdissected hepatic cellular carcinoma (HCC) 15
GSM737074 normal tissue microdissected normal liver 15
GSM737075 portal vein infiltration microdissected hepatic cellular carcinoma (HCC) 1
GSM737076 normal tissue microdissected normal liver 1
GSM737077 portal vein infiltration microdissected hepatic cellular carcinoma (HCC) 4
GSM737078 normal tissue microdissected normal liver 4
GSM737079 portal vein infiltration microdissected hepatic cellular carcinoma (HCC) 5
GSM737080 normal tissue microdissected normal liver 5
GSM73708 non-infiltration microdissected hepatic cellular carcinoma (HCC) 8
GSM737082 normal tissue microdissected normal liver 8
GSM737083 non-infiltration microdissected hepatic cellular carcinoma (HCC) 9
GSM737084 normal tissue microdissected normal liver 9

Tags

  • adenocarcinoma
  • breast
  • cancer
  • carcinoma
  • cell
  • genome
  • hcc
  • line
  • liver
  • liver cancer
  • prostate
  • prostate cancer

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