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

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

Results: We 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).

Conclusions: We 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.
1868-7075
1-16
Roos, L.
30bc0bfc-623d-462a-838e-90ed0b921551
van Dongen, J.
f36b3fbe-82c5-47a6-8d8c-69f208995385
Bell, C.G.
44982df7-0746-4cdb-bed1-0bdfe68f1a64
Burri, A.
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Deloukas, P.
daa30f51-963b-4f4e-82a0-81b74653e027
Boomsma, D.
678dcadc-cbd9-4f64-8502-499c0cf45e2f
Bell, J.
765e3911-6b16-4e68-93af-e24e36bf032d
Spector, T.
1fd13fc5-08aa-44c9-b920-c41e925e79d6
Roos, L.
30bc0bfc-623d-462a-838e-90ed0b921551
van Dongen, J.
f36b3fbe-82c5-47a6-8d8c-69f208995385
Bell, C.G.
44982df7-0746-4cdb-bed1-0bdfe68f1a64
Burri, A.
d8a47342-301b-4cb2-88b1-4b7d6ea96ebc
Deloukas, P.
daa30f51-963b-4f4e-82a0-81b74653e027
Boomsma, D.
678dcadc-cbd9-4f64-8502-499c0cf45e2f
Bell, J.
765e3911-6b16-4e68-93af-e24e36bf032d
Spector, T.
1fd13fc5-08aa-44c9-b920-c41e925e79d6

Roos, L., van Dongen, J., Bell, C.G., Burri, A., Deloukas, P., Boomsma, D., Bell, J. and Spector, T. (2016) Integrative DNA methylome analysis of pan-cancer biomarkers in cancer discordant monozygotic twin-pairs. Clinical Epigenetics, 8 (7), 1-16. (doi:10.1186/s13148-016-0172-y). (PMID:26798410)

Record type: Article

Abstract

Background: A 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.

Results: We 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).

Conclusions: We 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.

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Accepted/In Press date: 12 January 2016
Published date: 20 January 2016
Organisations: Biomedicine, MRC Life-Course Epidemiology Unit

Identifiers

Local EPrints ID: 392020
URI: http://eprints.soton.ac.uk/id/eprint/392020
ISSN: 1868-7075
PURE UUID: 870d54a6-afd1-45e5-8e3c-2e3983900798
ORCID for C.G. Bell: ORCID iD orcid.org/0000-0003-4601-1242

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Date deposited: 13 Apr 2016 14:29
Last modified: 14 Mar 2024 23:33

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Contributors

Author: L. Roos
Author: J. van Dongen
Author: C.G. Bell ORCID iD
Author: A. Burri
Author: P. Deloukas
Author: D. Boomsma
Author: J. Bell
Author: T. Spector

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