GEO DataSets

(Submitter supplied) Abnormal DNA methylation is a hallmark of human cancers and may be a promising biomarker for early diagnosis of human cancers1. However, the majority of DNA methylation biomarkers that have been identified are based on the hypothesis that early differential methylation regions (DMRs) are maintained throughout carcinogenesis and could be detected at all stages of cancer. In this study, we identified potential early biomarkers of colorectal cancer (CRC) development by genome-wide DNA methylation assay (Illumina infinium450, 450K) to normal (N=20) and pre-colorectal cancer samples including 18 low-grade adenoma (LGA) and 22 high-grade adenoma (HGA).

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL13534

60 Samples

Download data: IDAT

(Submitter supplied) We explored the differential methylation patterns found in cfDNA between healthy controls (individuals with no colorectal findings, NCF) and patients with advanced neoplasia (advanced adenomas and colorectal cancer, AA andCRC) using pooled samples, to determine if pooled serum cfDNA samples can be used to search for non-invasive methylation biomarkers, as an affordable and efficient alternative to tissue biopsy. more...

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL21145

6 Samples

Download data: TXT

(Submitter supplied) Genetic and epigenetic alterations are a fundamental aspect of colorectal cancer formation. There is considerable heterogeneity between colorectal cancers regarding the mutations and methylated genes they carry, and this heterogeneity may arise early in the polyp-cancer sequence. However, our understanding of the epigenetic alterations and gene mutations in colon adenomas and their relation to colorectal cancer is incomplete. more...

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL13534

147 Samples

Download data: TXT

(Submitter supplied) Aberrant methylation of DNA is supposed to be a major and early driver of colonic adenoma development and may also lead to colorectal cancer (CRC) formation. While gene methylation assays are used already for CRC screening, differential epigenetic alterations of recurring and non-recurring colorectal adenomas have yet not been systematically investigated. Here, we collected a sample set (n=72) of formalin-fixed paraffin-embedded (FFPE) primary colorectal adenomas without recurrence (n=30), primary adenomas with recurrence at the same location (n=19), so-called “matched pair samples” (n=10; comprising the primary adenoma and the recurrent adenoma) and normal mucosa specimens (n=3). more...

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL13534

72 Samples

Download data: IDAT, TXT

(Submitter supplied) In our study we applied a genome-wide DNA methylation analysis approach, MethylCap-seq, to map the differentially methylated regions in 24 tumor and matched normal colon samples. In total, 2687 frequently hypermethylated and 468 frequently hypomethylated regions were identified, which include potential biomarkers for CRC diagnosis. Hypermethylation in the tumor samples was enriched at CpG islands and gene promoters, while hypomethylation was distributed throughout the genome. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing

Platform:

GPL10999

68 Samples

Download data: BED, TXT, WIG

(Submitter supplied) DNA methylation was analysed using the Illumina Infinium HumanMethylation 450 Beadchip in 94 matched tissue pairs of colorectal cancer patients.

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL13534

192 Samples

Download data: TXT

(Submitter supplied) Whole genomic microarray analysis was performed in order to identify gene expression profile alterations focusing on the dysplastic adenoma-carcinoma transition. Our aims were to determinate characteristic transcript sets for developing diagnostic mRNA expression patterns for objective classification of benign and malignant colorectal diseases and to test the classificatory power of these markers on an independent sample set.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

94 Samples

Download data: CEL

(Submitter supplied) Genome wide DNA methylation profiling of normal and colon cancer and assosiation study between anti-cancer drug respond group and non-respond group. The Illumina Infinium 27k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 27,000 CpGs in 118 paired anti-cancer drug response tested colon cancer and adjacent normal tissues

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL8490

248 Samples

Download data: TXT

(Submitter supplied) Genome-wide DNA methylation profiles were obtained from colon adenocarcinoma samples (22), corresponding normal colon tissue (22) and cancer-unrelated normal colon tissue using Illumina HumanMethylation450 BeadChips. Approximately 485000 CpG sites were measured in every sample.

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL13534

63 Samples

Download data: TXT

(Submitter supplied) Compared with non-cancerous lung tissues, lung cancer in Xuanwei tissues expressed a total of 6,899 differentially methylated regions, including 5,788 hypermethylated regions and 1,111 hypomethylated regions. Many differentially methylated regions have been found in lung cancer in Xuanwei.

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL16378

2 Samples

Download data: GFF, PAIR, XLS

(Submitter supplied) To clarify the role of diacylglycerol kinase gamma (DGKG) in colorectal cancer, we carried out a gene expression microarray analysis using HCT116 cells infected with adenoviral vectors which express LacZ, kinase-dead mutant of DGKG (DGKG-KD) or constitutively active form of DGKG (DGKG-CA).

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL13607

3 Samples

Download data: TXT

(Submitter supplied) Differential methylation profiling of 18 colon tumor samples vs normal colon mucosa using the LogRatios of samples/reference panel

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL10282

26 Samples

Download data: GPR

(Submitter supplied) Background: DNA methylation is an important component of epigenetic modifications that influences the transcriptional machinery and is aberrant in many human diseases. In particular, dysregulation of promoter methylation in cancer has already been shown to be associated with repression of tumor suppressors and activation of oncogenes. In addition, detection of altered promoter methylation status is suitable for the design of diagnostic or prognostic tests. more...

Organism:

Homo sapiens

Type:

Expression profiling by array; Methylation profiling by genome tiling array

Platforms:

GPL6484 GPL6602

43 Samples

Download data: PAIR

(Submitter supplied) This array was designed to verify a number of previously identified markers for colo-rectal adenoma. It contains probesets from the Affymetrix Hu133, HuGene and other novel probesets not included on other arrays.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL11060

68 Samples

Download data: CEL

(Submitter supplied) Background: Colorectal cancer (CRC) remains a major concern with high morbidity and mortality worldwide. DNA methylation alteration plays a pivotal role in cancer development. We aimed to screen novel biomarkers for CRC diagnosis and chemotherapy-related adverse event (CRAE) prediction using the advanced Illumina Infinium MethylationEPIC (850K) BeadChip. Methods: We analyzed the methylation profiles of paired tumor and normal tissues from 21 Chinese CRC patients. more...

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL21145

44 Samples

Download data: TXT

(Submitter supplied) The current risk stratification system defined by clinicopathological features do not accurately identify the risk of disease recurrence in patients with stage I-II colorectal cancer (CRC). We aimed to investigate whether the CpG sites from newly established genome-wide methylation profiles could serve as biomarkers to improve prognosis prediction.

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL21145

96 Samples

Download data: CSV

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing

Platform:

GPL16791

71 Samples

Download data: BEDGRAPH

(Submitter supplied) Colorectal cancer (CRC) is characterized by genome-wide alterations to DNA methylation that influence gene expression and genomic stability. Less is known about the extent to which methylation is disrupted in the earliest stages of CRC development. In this study we have combined laser-capture microdissection (LCM) with reduced representation bisulfite sequencing (RRBS) to identify cancer associated DNA methylation changes in human aberrant crypt foci (ACF), the earliest putative precursor to CRC. more...

Organism:

Homo sapiens

Type:

Methylation profiling by high throughput sequencing

Platform:

GPL16791

40 Samples

Download data: BEDGRAPH

(Submitter supplied) Colorectal cancer (CRC) is characterized by genome-wide alterations to DNA methylation that influence gene expression and genomic stability. Less is known about the extent to which methylation is disrupted in the earliest stages of CRC development. In this study we have combined laser-capture microdissection (LCM) with reduced representation bisulfite sequencing (RRBS) to identify cancer associated DNA methylation changes in human aberrant crypt foci (ACF), the earliest putative precursor to CRC. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing

Platform:

GPL16791

31 Samples

Download data: TXT

(Submitter supplied) To investigate whether lifestyle factors modulate the stability of gene promoter methylation in the normal aging colonic mucosa, we performed genome-scale DNA methylation profiling of 178 normal colon biopsies using the Illumina Infinium DNA methylation assay, which assesses the DNA methylation status of 27,578 CpG sites located at the promoter regions of 14,495 protein-coding genes. We identified Aspirin use and hormonal replacement therapy (HRT) suppress, whereas a high body mass index (BMI) and smoking promote age-related hyermethylation. more...

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL8490

178 Samples

Download data: TXT