Evidence map›Paper›PMID 22714737›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2012

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

Devin C Koestler, 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 read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

80 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Association BetweenCancer genomics & proteomics
    Pooled it
  4. Article
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  9. Blood LeukocyteCancer research communications · 2023
    Article
  10. Review
  11. DNA Methylation Abnormalities and Altered Whole Transcriptome Profiles after Switching from Combustible Tobacco Smoking to Heated Tobacco Products.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
  12. Review
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  16. Observational
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20 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Devin C KoestlerDepartment of Community and Family Medicine, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA.
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

Funding

Tissue CoreP50CA097257 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Joseph F Costello · 2002 to 2026
$57.4M
VARIATION IN BIOACCUMULATION AND BIOMAGNIFICATION OF METALS IN NORTHERN US LAKESP42ES007373 · NIEHS · DARTMOUTH COLLEGE · PI STANTON, BRUCE A. · 1995 to 2019
$52.0M
GENETIC EPIDEMIOLOGY OF MALIGNANT GLIOMAR01CA052689 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WIENCKE, JOHN K., WRENSCH, MARGARET R. · 1991 to 2015
$20.5M
NONMELANOMA SKIN CANCER IN NEW HAMPSHIRER01CA057494 · NCI · DARTMOUTH COLLEGE · PI KARAGAS, MARGARET RITA · 1993 to 2015
$10.9M
BIOMARKERS OF LUNG CANCER SUSCEPTIBILITY IN MINORITIESR01ES006717 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WIENCKE, JOHN K. · 1994 to 2009
$8.9M
The Boston Collaborative Oral Cancer StudyR01CA078609 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI KELSEY, KARL TIMOTHY · 1999 to 2010
$5.3M
Training Program for Quantitative Population Sciences in CancerR25CA134286 · NCI · DARTMOUTH COLLEGE · PI KARAGAS, MARGARET RITA, TOSTESON, TOR D · 2009 to 2018
$3.0M
Patterns of Somatic Gene Alterations in Oral CancerR01CA100679 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI KELSEY, KARL TIMOTHY · 2004 to 2012
$2.6M
Biomarkers of survival in glioma epidemiologyR01CA126831 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WIENCKE, JOHN K. · 2008 to 2013
$2.5M
The Molecular Epidemiology of Bladder CancerR01CA121147 · NCI · BROWN UNIVERSITY · PI KELSEY, KARL TIMOTHY · 2007 to 2010
$2.0M
NCI NIH HHS P50 CA097257NCI NIH HHS R01 CA052689NCI NIH HHS R01 CA057494NCI NIH HHS R01 CA078609NCI NIH HHS R01 CA100679NCI NIH HHS R01 CA121147NCI NIH HHS R01 CA126831NCI NIH HHS R01 CA52689NCI NIH HHS R01 CA57494NCI NIH HHS R25 CA134286NIEHS NIH HHS ES06717NIEHS NIH HHS P42 ES007373NIEHS NIH HHS R01 ES006717
6 · The paper itself

Abstract

backgroundBlood 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.

methodsWe 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.

resultsA 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).

conclusionsThese 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.

Indexed as

AdultBiomarkers, TumorCarcinoma, Squamous CellDNA MethylationEpigenesis, GeneticFemaleGene Expression ProfilingGenome-Wide Association StudyHead and Neck NeoplasmsHumansLeukocytesMaleNeoplasmsOvarian NeoplasmsUrinary Bladder NeoplasmsBiomarkers, Tumor

Identifiers

PMID22714737
PMCPMC3415587

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.