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DNA Microarrays

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer

Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer

Published on: September 18, 2020

Identifying molecular subtypes in human colon cancer using gene expression and DNA methylation microarray data.

Zhonglu Ren¹, Wenhui Wang¹, Jinming Li¹

¹Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, P.R. China.

International Journal of Oncology

|December 10, 2015

Summary

This study identifies distinct molecular subtypes of colon cancer using gene expression and DNA methylation data. These findings pave the way for personalized therapies by revealing novel biomarkers for colon cancer classification.

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Area of Science:

Oncology
Genomics
Molecular Biology

Background:

Colon cancer classification using molecular signatures is crucial for personalized therapy.
Previous gene expression studies showed limited concordance in identifying colon cancer subtypes.
Understanding molecular heterogeneity is key to developing targeted treatments.

Purpose of the Study:

To uncover colon cancer subtypes with distinct biological characteristics.
To identify novel biomarkers reflecting clinical and biological features of each subtype.
To analyze colon cancer molecular subtypes at both gene expression and DNA methylation levels.

Main Methods:

Clustering and discriminant analysis were applied to 153 colon cancer samples from The Cancer Genome Atlas (TCGA).
Analysis was performed at two molecular levels: gene expression and DNA methylation.
Identification of signature genes and subtypes based on molecular profiles.

Main Results:

Two major gene expression subtypes (ECL1, ECL2) and signature genes were identified.
ECL1 was further subdivided into three subclasses, with HOTAIR upregulated in subclass 2.
Three major DNA methylation subtypes (MCL1, MCL2, MCL3) were uncovered, differing from previous CpG island methylator phenotype (CIMP) classifications.

Conclusions:

Distinct molecular subtypes of colon cancer exist at both gene expression and DNA methylation levels.
The identified subtypes and biomarkers offer potential for improved patient stratification and treatment strategies.
This study refines the classification of colon cancer, particularly regarding CIMP subtypes.