A genome-wide DNA methylation study in colorectal carcinoma

被引:59
|
作者
Kibriya, Muhammad G. [1 ]
Raza, Maruf [2 ]
Jasmine, Farzana [1 ]
Roy, Shantanu [1 ]
Paul-Brutus, Rachelle [1 ]
Rahaman, Ronald [1 ]
Dodsworth, Charlotte [1 ]
Rakibuz-Zaman, Muhammad [3 ,4 ]
Kamal, Mohammed [2 ]
Ahsan, Habibul [1 ,5 ,6 ,7 ]
机构
[1] Univ Chicago, Dept Hlth Studies, Chicago, IL 60637 USA
[2] BSMMU, Dhaka 1000, Bangladesh
[3] Columbia Univ, Dhaka, Bangladesh
[4] Univ Chicago, Res Off Bangladesh, Dhaka, Bangladesh
[5] Univ Chicago, Dept Human Genet, Chicago, IL 60637 USA
[6] Univ Chicago, Dept Med, Chicago, IL 60637 USA
[7] Univ Chicago, Ctr Comprehens Canc, Chicago, IL 60637 USA
来源
BMC MEDICAL GENOMICS | 2011年 / 4卷
基金
美国国家卫生研究院;
关键词
MICROSATELLITE INSTABILITY; BRAF MUTATION; CANCER; PHENOTYPE; HYPOMETHYLATION; EPIGENOTYPES; METASTASIS; EXPRESSION; PROFILES; PATHWAYS;
D O I
10.1186/1755-8794-4-50
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background: We performed a genome-wide scan of 27,578 CpG loci covering 14,475 genes to identify differentially methylated loci (DML) in colorectal carcinoma (CRC). Methods: We used Illumina's Infinium methylation assay in paired DNA samples extracted from 24 fresh frozen CRC tissues and their corresponding normal colon tissues from 24 consecutive diagnosed patients at a tertiary medical center. Results: We found a total of 627 DML in CRC covering 513 genes, of which 535 are novel DML covering 465 genes. We also validated the Illumina Infinium methylation data for top-ranking genes by non-bisulfite conversion q-PCR-based methyl profiler assay in a subset of the same samples. We also carried out integration of genome-wide copy number and expression microarray along with methylation profiling to see the functional effect of methylation. Gene Set Enrichment Analysis (GSEA) showed that among the major "gene sets" that are hypermethylated in CRC are the sets: "inhibition of adenylate cyclase activity by G-protein signaling", "Rac guanyl-nucleotide exchange factor activity", "regulation of retinoic acid receptor signaling pathway" and "estrogen receptor activity". Two-level nested cross validation showed that DML-based predictive models may offer reasonable sensitivity (around 89%), specificity (around 95%), positive predictive value (around 95%) and negative predictive value (around 89%), suggesting that these markers may have potential clinical application. Conclusion: Our genome-wide methylation study in CRC clearly supports most of the previous findings; additionally we found a large number of novel DML in CRC tissue. If confirmed in future studies, these findings may lead to identification of genomic markers for potential clinical application.
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页数:16
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