Literature DB >> 22714737

Peripheral blood immune cell methylation profiles are associated with nonhematopoietic cancers.

Devin C Koestler1, Carmen J Marsit, Brock C Christensen, William Accomando, Scott M Langevin, E Andres Houseman, Heather H Nelson, Margaret R Karagas, John K Wiencke, Karl T Kelsey.   

Abstract

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 in 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. ©2012 AACR.

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Year:  2012        PMID: 22714737      PMCID: PMC3415587          DOI: 10.1158/1055-9965.EPI-12-0361

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  51 in total

1.  Methylation markers for small cell lung cancer in peripheral blood leukocyte DNA.

Authors:  Liang Wang; Jeremiah A Aakre; Ruoxiang Jiang; Randolph S Marks; Yanhong Wu; Jun Chen; Stephen N Thibodeau; V Shane Pankratz; Ping Yang
Journal:  J Thorac Oncol       Date:  2010-06       Impact factor: 15.609

2.  Semi-supervised recursively partitioned mixture models for identifying cancer subtypes.

Authors:  Devin C Koestler; Carmen J Marsit; Brock C Christensen; Margaret R Karagas; Raphael Bueno; David J Sugarbaker; Karl T Kelsey; E Andres Houseman
Journal:  Bioinformatics       Date:  2010-08-16       Impact factor: 6.937

Review 3.  Biology of interleukin-10.

Authors:  Robert Sabat; Gerald Grütz; Katarzyna Warszawska; Stefan Kirsch; Ellen Witte; Kerstin Wolk; Jens Geginat
Journal:  Cytokine Growth Factor Rev       Date:  2010-11-05       Impact factor: 7.638

4.  TGF-beta receptor controls B cell responsiveness and induction of IgA in vivo.

Authors:  B B Cazac; J Roes
Journal:  Immunity       Date:  2000-10       Impact factor: 31.745

5.  DNA methylation profiles delineate etiologic heterogeneity and clinically important subgroups of bladder cancer.

Authors:  C S Wilhelm-Benartzi; D C Koestler; E A Houseman; B C Christensen; John K Wiencke; A R Schned; M R Karagas; K T Kelsey; C J Marsit
Journal:  Carcinogenesis       Date:  2010-08-28       Impact factor: 4.944

Review 6.  DNA methylation of cancer genome.

Authors:  Hoi-Hung Cheung; Tin-Lap Lee; Owen M Rennert; Wai-Yee Chan
Journal:  Birth Defects Res C Embryo Today       Date:  2009-12

7.  Analysis of the peripheral blood lymphocyte subsets in patients with bladder carcinoma.

Authors:  T Soygür; Y Bedük; O Yaman; E Yilmaz; G Tokgöz; O Gögüş
Journal:  Urology       Date:  1999-01       Impact factor: 2.649

8.  Intratumoral T cells, recurrence, and survival in epithelial ovarian cancer.

Authors:  Lin Zhang; Jose R Conejo-Garcia; Dionyssios Katsaros; Phyllis A Gimotty; Marco Massobrio; Giorgia Regnani; Antonis Makrigiannakis; Heidi Gray; Katia Schlienger; Michael N Liebman; Stephen C Rubin; George Coukos
Journal:  N Engl J Med       Date:  2003-01-16       Impact factor: 91.245

9.  Increased frequency and suppression by regulatory T cells in patients with acute myelogenous leukemia.

Authors:  Miroslaw J Szczepanski; Marta Szajnik; Malgorzata Czystowska; Magis Mandapathil; Laura Strauss; Ann Welsh; Kenneth A Foon; Theresa L Whiteside; Michael Boyiadzis
Journal:  Clin Cancer Res       Date:  2009-05-05       Impact factor: 12.531

10.  Conversion of peripheral CD4+CD25- naive T cells to CD4+CD25+ regulatory T cells by TGF-beta induction of transcription factor Foxp3.

Authors:  WanJun Chen; Wenwen Jin; Neil Hardegen; Ke-Jian Lei; Li Li; Nancy Marinos; George McGrady; Sharon M Wahl
Journal:  J Exp Med       Date:  2003-12-15       Impact factor: 14.307

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  69 in total

1.  Integrative analysis of methylome and transcriptome in human blood identifies extensive sex- and immune cell-specific differentially methylated regions.

Authors:  Shimrat Mamrut; Nili Avidan; Elsebeth Staun-Ram; Elizabeta Ginzburg; Frederique Truffault; Sonia Berrih-Aknin; Ariel Miller
Journal:  Epigenetics       Date:  2015       Impact factor: 4.528

2.  Blood-based profiles of DNA methylation predict the underlying distribution of cell types: a validation analysis.

Authors:  Devin C Koestler; Brock Christensen; Margaret R Karagas; Carmen J Marsit; Scott M Langevin; Karl T Kelsey; John K Wiencke; E Andres Houseman
Journal:  Epigenetics       Date:  2013-06-25       Impact factor: 4.528

Review 3.  Recommendations for the design and analysis of epigenome-wide association studies.

Authors:  Karin B Michels; Alexandra M Binder; Sarah Dedeurwaerder; Charles B Epstein; John M Greally; Ivo Gut; E Andres Houseman; Benedetta Izzi; Karl T Kelsey; Alexander Meissner; Aleksandar Milosavljevic; Kimberly D Siegmund; Christoph Bock; Rafael A Irizarry
Journal:  Nat Methods       Date:  2013-10       Impact factor: 28.547

4.  Genome-wide investigation of regional blood-based DNA methylation adjusted for complete blood counts implicates BNC2 in ovarian cancer.

Authors:  Stacey J Winham; Sebastian M Armasu; Mine S Cicek; Melissa C Larson; Julie M Cunningham; Kimberly R Kalli; Brooke L Fridley; Ellen L Goode
Journal:  Genet Epidemiol       Date:  2014-05-22       Impact factor: 2.135

5.  Epigenomic association analysis identifies smoking-related DNA methylation sites in African Americans.

Authors:  Yan V Sun; Alicia K Smith; Karen N Conneely; Qiuzhi Chang; Weiyan Li; Alicia Lazarus; Jennifer A Smith; Lynn M Almli; Elisabeth B Binder; Torsten Klengel; Dorthie Cross; Stephen T Turner; Kerry J Ressler; Sharon L R Kardia
Journal:  Hum Genet       Date:  2013-05-09       Impact factor: 4.132

6.  Correlation of DNA methylation levels in blood and saliva DNA in young girls of the LEGACY Girls study.

Authors:  Hui-Chen Wu; Qiao Wang; Wendy K Chung; Irene L Andrulis; Mary B Daly; Esther M John; Theresa H M Keegan; Julia Knight; Angela R Bradbury; Maya A Kappil; Irina Gurvich; Regina M Santella; Mary Beth Terry
Journal:  Epigenetics       Date:  2014-04-22       Impact factor: 4.528

7.  DNA methylation levels and long-term trihalomethane exposure in drinking water: an epigenome-wide association study.

Authors:  Lucas A Salas; Mariona Bustamante; Juan R Gonzalez; Esther Gracia-Lavedan; Victor Moreno; Manolis Kogevinas; Cristina M Villanueva
Journal:  Epigenetics       Date:  2015       Impact factor: 4.528

8.  Genome-wide age-related DNA methylation changes in blood and other tissues relate to histone modification, expression and cancer.

Authors:  Zongli Xu; Jack A Taylor
Journal:  Carcinogenesis       Date:  2013-11-28       Impact factor: 4.944

9.  Variation in DNA methylation of human blood over a 1-year period using the Illumina MethylationEPIC array.

Authors:  Ina Zaimi; Dong Pei; Devin C Koestler; Carmen J Marsit; Immaculata De Vivo; Shelley S Tworoger; Alexandra E Shields; Karl T Kelsey; Dominique S Michaud
Journal:  Epigenetics       Date:  2018-10-21       Impact factor: 4.528

Review 10.  The fate is not always written in the genes: epigenomics in epidemiologic studies.

Authors:  Scott M Langevin; Karl T Kelsey
Journal:  Environ Mol Mutagen       Date:  2013-02-26       Impact factor: 3.216

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