Toward a comprehensive and systematic methylome signature in colorectal cancers

被引:55
作者
Ashktorab, Hassan [1 ,2 ,3 ]
Rahi, Hamed [1 ,2 ,3 ]
Wansley, Daniel [1 ,2 ,3 ]
Varma, Sudhir [1 ,2 ,3 ]
Shokrani, Babak [1 ,2 ,3 ]
Lee, Edward [1 ,2 ,3 ]
Daremipouran, Mohammad [1 ,2 ,3 ]
Laiyemo, Adeyinka [1 ,2 ,3 ]
Goel, Ajay [4 ,5 ]
Carethers, John M. [6 ]
Brim, Hassan [1 ,2 ,3 ]
机构
[1] Howard Univ, Coll Med, Dept Med, Washington, DC 20059 USA
[2] Howard Univ, Coll Med, Ctr Canc, Washington, DC USA
[3] Howard Univ, Coll Med, Dept Pathol, Washington, DC USA
[4] Baylor Univ, Med Ctr, Baylor Res Inst, Dallas, TX USA
[5] Baylor Univ, Med Ctr, Charles A Sammons Canc Ctr, Dallas, TX USA
[6] Univ Michigan, Dept Internal Med, Div Gastroenterol, Ann Arbor, MI 48109 USA
基金
美国国家卫生研究院;
关键词
colon; cancer; African American; methylation; CPG ISLAND HYPERMETHYLATION; GENE PROMOTER METHYLATION; DNA METHYLATION; ABERRANT METHYLATION; FREQUENT INACTIVATION; COLON-CANCER; DCC GENE; PHENOTYPE; BIOMARKER; PROFILE;
D O I
10.4161/epi.25497
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
070307 [化学生物学]; 071010 [生物化学与分子生物学];
摘要
CpG Island Methylator Phenotype (CIMP) is one of the underlying mechanisms in colorectal cancer (CRC). This study aimed to define a methylome signature in CRC through a methylation microarray analysis and a compilation of promising CIMP markers from the literature. Illumina HumanMethylation27 (IHM27) array data was generated and analyzed based on statistical differences in methylation data (1st approach) or based on overall differences in methylation percentages using lower 95% CI (2nd approach). Pyrosequencing was performed for the validation of nine genes. A meta-analysis was used to identify CIMP and non-CIMP markers that were hypermethylated in CRC but did not yet make it to the CIMP genes' list. Our 1st approach for array data analysis demonstrated the limitations in selecting genes for further validation, highlighting the need for the 2nd bioinformatics approach to adequately select genes with differential aberrant methylation. A more comprehensive list, which included non-CIMP genes, such as APC, EVL, CD109, PTEN, TWIST1, DCC, PTPRD, SFRP1, ICAM5, RASSF1A, EYA4, 30ST2, LAMA1, KCNQ5, ADHEF1, and TFPI2, was established. Array data are useful to categorize and cluster colonic lesions based on their global methylation profiles; however, its usefulness in identifying robust methylation markers is limited and rely on the data analysis method. We have identified 16 non-CIMP-panel genes for which we provide rationale for inclusion in a more comprehensive characterization of CIMP+ CRCs. The identification of a definitive list for methylome specific genes in CRC will contribute to better clinical management of CRC patients.
引用
收藏
页码:807 / 815
页数:9
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