Peripheral Blood Immune Cell Methylation Profiles Are Associated with Nonhematopoietic Cancers

被引:89
作者
Koestler, Devin C. [2 ]
Marsit, Carmen J. [2 ,3 ]
Christensen, Brock C. [2 ,3 ]
Accomando, William [4 ]
Langevin, Scott M. [1 ,4 ]
Houseman, E. Andres [5 ]
Nelson, Heather H. [6 ,7 ]
Karagas, Margaret R. [2 ]
Wiencke, John K. [8 ]
Kelsey, Karl T. [1 ,4 ]
机构
[1] Brown Univ, Dept Pathol & Lab Med, Providence, RI 02912 USA
[2] Geisel Sch Med Dartmouth, Dept Community & Family Med, Hanover, NH USA
[3] Geisel Sch Med Dartmouth, Dept Pharmacol & Toxicol, Hanover, NH USA
[4] Brown Univ, Dept Epidemiol, Providence, RI 02912 USA
[5] Oregon State Univ, Dept Publ Hlth, Corvallis, OR 97331 USA
[6] Univ Minnesota, Div Epidemiol, Minneapolis, MN 55455 USA
[7] Univ Minnesota, Mason Canc Ctr, Minneapolis, MN USA
[8] Univ Calif San Francisco, Dept Neurol Surg, San Francisco, CA USA
关键词
REGULATORY T-CELLS; TUMOR-INFILTRATING LYMPHOCYTES; DNA METHYLATION; DISTINCT PATTERNS; BLADDER-CANCER; HEAD; RISK; MIXTURE; EXPRESSION; INDUCTION;
D O I
10.1158/1055-9965.EPI-12-0361
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Blood leukocytes from patients with solid tumors exhibit complex and distinct cancer-associated patterns of DNA methylation. However, the biologic mechanisms underlying these patterns remain poorly understood. Because epigenetic biomarkers offer significant clinical potential for cancer detection, we sought to address a mechanistic gap in recently published works, hypothesizing that blood-based epigenetic variation may be due to shifts in leukocyte populations. Methods: We identified differentially methylated regions (DMR) among leukocyte subtypes using epigenome-wide DNA methylation profiling of purified peripheral blood leukocyte subtypes from healthy donors. These leukocyte-tagging DMRs were then evaluated using epigenome-wide blood methylation data from three independent case-control studies of different cancers. Results: A substantial proportion of the top 50 leukocyte DMRs were significantly differentially methylated among head and neck squamous cell carcinoma (HNSCC) cases and ovarian cancer cases compared with cancer-free controls (48 and 47 of 50, respectively). Methylation classes derived from leukocyte DMRs were significantly associated cancer case status (P < 0.001, P < 0.03, and P < 0.001) for all three cancer types: HNSCC, bladder cancer, and ovarian cancer, respectively and predicted cancer status with a high degree of accuracy (area under the curve [AUC] = 0.82, 0.83, and 0.67). Conclusions: These results suggest that shifts ill leukocyte subpopulations may account for a considerable proportion of variability in peripheral blood DNA methylation patterns of solid tumors. Impact: This illustrates the potential use of DNA methylation profiles for identifying shifts in leukocyte populations representative of disease, and that such profiles may represent powerful new diagnostic tools, applicable to a range of solid tumors. Cancer Epidemiol Biomarkers Prep; 21(8); 1293-302. (c) 2012 AACR.
引用
收藏
页码:1293 / 1302
页数:10
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