Evidence map›Paper›PMID 26798410›Full record

ArticleClinical epigenetics2016

Integrative DNA methylome analysis of pan-cancer biomarkers in cancer discordant monozygotic twin-pairs.

Leonie Roos, Jenny van Dongen, Christopher G Bell, Andrea Burri, Panos Deloukas, Dorret I Boomsma, Tim D Spector, Jordana T Bell

Open access · goldAbstract readTwin Study
In one paragraph

Article in Clinical epigenetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
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

19 citing papers in PubMed, 40 citations in OpenAlex.

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  19. Two Cases of Endometrial Cancer in Twin Sisters with Myotonic Dystrophy.Case reports in obstetrics and gynecology · 2016
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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

8 authors at 4 institutions in 3 countries.

Leonie RoosDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK.
Jenny van DongenDepartment of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands.
Christopher G BellDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK ; MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK ; Human Development and Health Academic Unit, Institute of Developmental Sciences, University of Southampton, Southampton, UK ; Epigenomic Medicine, Centre for Biological Sciences, Faculty of Environmental and Natural Sciences, University of Southampton, Southampton, UK.
Andrea BurriDepartment of Psychology, University of Zurich, Zurich, Switzerland.
Panos DeloukasWilliam Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Dorret I BoomsmaDepartment of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands.
Tim D SpectorDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK.
Jordana T BellDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK.
King's College London · GBVrije Universiteit Amsterdam · NLUniversity of Zurich · CHWilliam Harvey Research Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA key focus in cancer research is the discovery of biomarkers that accurately diagnose early lesions in non-invasive tissues. Several studies have identified malignancy-associated DNA methylation changes in blood, yet no general cancer biomarker has been identified to date. Here, we explore the potential of blood DNA methylation as a biomarker of pan-cancer (cancer of multiple different origins) in 41 female cancer discordant monozygotic (MZ) twin-pairs sampled before or after diagnosis using the Illumina HumanMethylation450 BeadChip.

resultsWe analysed epigenome-wide DNA methylation profiles in 41 cancer discordant MZ twin-pairs with affected individuals diagnosed with tumours at different single primary sites: the breast, cervix, colon, endometrium, thyroid gland, skin (melanoma), ovary, and pancreas. No significant global differences in whole blood DNA methylation profiles were observed. Epigenome-wide analyses identified one novel pan-cancer differentially methylated position at false discovery rate (FDR) threshold of 10 % (cg02444695, P = 1.8 × 10(-7)) in an intergenic region 70 kb upstream of the SASH1 tumour suppressor gene, and three suggestive signals in COL11A2, AXL, and LINC00340. Replication of the four top-ranked signals in an independent sample of nine cancer-discordant MZ twin-pairs showed a similar direction of association at COL11A2, AXL, and LINC00340, and significantly greater methylation discordance at AXL compared to 480 healthy concordant MZ twin-pairs. The effects at cg02444695 (near SASH1), COL11A2, and LINC00340 were the most promising in biomarker potential because the DNA methylation differences were found to pre-exist in samples obtained prior to diagnosis and were limited to a 5-year period before diagnosis. Gene expression follow-up at the top-ranked signals in 283 healthy individuals showed correlation between blood methylation and gene expression in lymphoblastoid cell lines at PRL, and in the skin tissue at AXL. A significant enrichment of differential DNA methylation was observed in enhancer regions (P = 0.03).

conclusionsWe identified DNA methylation signatures in blood associated with pan-cancer, at or near SASH1, COL11A2, AXL, and LINC00340. Three of these signals were present up to 5 years prior to cancer diagnosis, highlighting the potential clinical utility of whole blood DNA methylation analysis in cancer surveillance.

Indexed as

AdultAgedAge FactorsBreast NeoplasmsColonic NeoplasmsDiseases in TwinsDNA MethylationEndometrial NeoplasmsEpigenomicsFemaleGenetic MarkersHumansMaleMelanomaMiddle AgedNeoplasmsGenetic MarkersBiomarkerCancerDiscordant monozygotic twinsDNA methylationEpigeneticsTwin study

Identifiers

PMID26798410
PMCPMC4721070
OpenAlexW2274593450

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.