Epigenomic analysis of aberrantly methylated genes in colorectal cancer identifies genes commonly affected by epigenetic alterations.
Epigenomic analysis of aberrantly methylated genes in colorectal cancer identifies genes commonly affected by epigenetic alterations.
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DOI:
10.1245/s10434-011-1573-y
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发表时间:
2011-08
影响因子:
3.7
通讯作者:
Kim YS
中科院分区:
文献类型:
--
作者:
Kim YH;Lee HC;Kim SY;Yeom YI;Ryu KJ;Min BH;Kim DH;Son HJ;Rhee PL;Kim JJ;Rhee JC;Kim HC;Chun HK;Grady WM;Kim YS
Determination of the profile of genes that are commonly methylated aberrantly in colorectal cancer (CRC) will have substantial value for diagnostic and therapeutic applications. However, there is limited knowledge of the DNA methylation pattern in CRC. We analyzed the methylation profile of 27,578 CpG sites spanning more than 14,000 genes in CRC and in the adjacent normal mucosa using beadchip array-based technology. We identified 621 CpG sites located in promoter regions and CpG islands that were significantly hypermethylated in CRC compared to normal mucosa. The genes on chromosome 18 showed promoter hypermethylation most frequently. According to gene ontology analysis, the most common biologically relevant class of genes affected by methylation was the class associated with the cadherin signaling pathway. Compared to the genome-wide expression array, mRNA expression was more likely to be down-regulated in the genes demonstrating promoter hypermethylation, even though this was not statistically significant. We validated 10 CpG sites that were hypermethylated (ADHFE1, BOLL, SLC6A15, ADAMTS5, TFPI2, EYA4, NPY, TWIST1, LAMA1, GAS7) and 2 CpG sites showing hypomethylation (MAEL, SFT2D3) in CRC compared to the normal mucosa in the array studies using pyrosequencing. The methylation status measured by pyrosequencing was consistent with the methylation array data. Methylation profiling based on beadchip arrays is an effective method for screening aberrantly methylated genes in CRC. In addition, we identified novel methylated genes that are candidate diagnostic or prognostic markers for CRC.
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影响因子:
11.2
作者:
Glöckner SC;Dhir M;Yi JM;McGarvey KE;Van Neste L;Louwagie J;Chan TA;Kleeberger W;de Bruïne AP;Smits KM;Khalid-de Bakker CA;Jonkers DM;Stockbrügger RW;Meijer GA;Oort FA;Iacobuzio-Donahue C;Bierau K;Herman JG;Baylin SB;Van Engeland M;Schuebel KE;Ahuja N
通讯作者:
Ahuja N
影响因子:
3.8
作者:
Lips, Esther H.;van Eijk, Ronald;de Graaf, Eelco J. R.;Oosting, Jan;de Miranda, Noel F. C. C.;Karsten, Tom;de Velde, Cornelis J. van;Eilers, Paul H. C.;Tollenaar, Rob A. E. M.;van Wezel, Tom;Morreau, Hans
通讯作者:
Morreau, Hans
影响因子:
14.9
作者:
Adorján, P;Distler, J;Olek, A
通讯作者:
Olek, A
影响因子:
4.3
作者:
Liu, Suhu;Ren, Suping;Riker, Adam I.
通讯作者:
Riker, Adam I.
影响因子:
8.8
作者:
Lopez, J.;Percharde, M.;Coley, H. M.;Webb, A.;Crook, T.
通讯作者:
Crook, T.