Leukocyte DNA methylation signature differentiates pancreatic cancer patients from healthy controls.
Leukocyte DNA methylation signature differentiates pancreatic cancer patients from healthy controls.
复制标题
白细胞 DNA 甲基化特征可将胰腺癌患者与健康对照区分开来。
DOI:
10.1371/journal.pone.0018223
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发表时间:
2011-03-24
期刊:
影响因子:
3.7
通讯作者:
Wang L
中科院分区:
文献类型:
--
作者:
Pedersen KS;Bamlet WR;Oberg AL;de Andrade M;Matsumoto ME;Tang H;Thibodeau SN;Petersen GM;Wang L
Pancreatic adenocarcinoma (PaC) is one of most difficult tumors to treat. Much of this is attributed to the late diagnosis. To identify biomarkers for early detection, we examined DNA methylation differences in leukocyte DNA between PaC cases and controls in a two-phase study. In phase I, we measured methylation levels at 1,505 CpG sites in treatment-naïve leukocyte DNA from 132 never-smoker PaC patients and 60 never-smoker healthy controls. We found significant differences in 110 CpG sites (false discovery rate <0.05). In phase II, we tested and validated 88 of 96 phase I selected CpG sites in 240 PaC cases and 240 matched controls (p≤0.05). Using penalized logistic regression, we built a prediction model consisting of five CpG sites (IL10_P348, LCN2_P86, ZAP70_P220, AIM2_P624, TAL1_P817) that discriminated PaC patients from controls (C-statistic = 0.85 in phase I; 0.76 in phase II). Interestingly, one CpG site (LCN2_P86) alone could discriminate resectable patients from controls (C-statistic = 0.78 in phase I; 0.74 in phase II). We also performed methylation quantitative trait loci (methQTL) analysis and identified three CpG sites (AGXT_P180_F, ALOX12_E85_R, JAK3_P1075_R) where the methylation levels were significantly associated with single nucleotide polymorphisms (SNPs) (false discovery rate <0.05). Our results demonstrate that epigenetic variation in easily obtainable leukocyte DNA, manifested by reproducible methylation differences, may be used to detect PaC patients. The methylation differences at certain CpG sites are partially attributable to genetic variation. This study strongly supports future epigenome-wide association study using leukocyte DNA for biomarker discovery in human diseases.
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影响因子:
3.7
作者:
Boks MP;Derks EM;Weisenberger DJ;Strengman E;Janson E;Sommer IE;Kahn RS;Ophoff RA
通讯作者:
Ophoff RA
影响因子:
15.8
作者:
Faca VM;Song KS;Wang H;Zhang Q;Krasnoselsky AL;Newcomb LF;Plentz RR;Gurumurthy S;Redston MS;Pitteri SJ;Pereira-Faca SR;Ireton RC;Katayama H;Glukhova V;Phanstiel D;Brenner DE;Anderson MA;Misek D;Scholler N;Urban ND;Barnett MJ;Edelstein C;Goodman GE;Thornquist MD;McIntosh MW;DePinho RA;Bardeesy N;Hanash SM
通讯作者:
Hanash SM
影响因子:
8.8
作者:
Moniaux N;Chakraborty S;Yalniz M;Gonzalez J;Shostrom VK;Standop J;Lele SM;Ouellette M;Pour PM;Sasson AR;Brand RE;Hollingsworth MA;Jain M;Batra SK
通讯作者:
Batra SK
影响因子:
2.3
作者:
Poch, Bertram;Lotspeich, Errki;Gansauge, Frank
通讯作者:
Gansauge, Frank
影响因子:
3.6
作者:
Jansen, M;Fukushima, N;Goggins, M
通讯作者:
Goggins, M