Network analysis of aging acceleration reveals systematic properties of 11 types of cancers.
DNA methylation
accelerated aging
cancer
network analysis
pan-cancer
Journal
FEBS open bio
ISSN: 2211-5463
Titre abrégé: FEBS Open Bio
Pays: England
ID NLM: 101580716
Informations de publication
Date de publication:
07 2019
07 2019
Historique:
received:
25
01
2019
revised:
16
05
2019
accepted:
24
05
2019
pubmed:
28
5
2019
medline:
19
2
2020
entrez:
28
5
2019
Statut:
ppublish
Résumé
Cancers are known to be associated with accelerated aging, but to date, there has been a paucity of systematic and in-depth studies of the correlation between aging and cancer. DNA methylation (DNAm) profiles can be used as aging markers and utilized to construct aging predictors. In this study, we downloaded 333 paired samples of DNAm, expression and mutation profiles encompassing 11 types of tissues from The Cancer Genome Atlas public access portal. The DNAm aging scores were calculated using the Support Vector Machine regression model. The DNAm aging scores of cancers revealed significant aging acceleration compared to adjacent normal tissues. Aging acceleration-associated mutation modules and expression modules were identified in 11 types of cancers. In addition, we constructed bipartite networks of mutations and expression, and the differential expression modules related to aging-associated mutations were selected in 11 types of cancers using the expression quantitative trait locus method. The results of enrichment analyses also identified common functions across cancers and cancer-specific characteristics of aging acceleration. The aging acceleration interaction network across cancers suggested a core status of thyroid carcinoma and neck squamous cell carcinoma in the aging process. In summary, we have identified correlations between aging and cancers and revealed insights into the biological functions of the modules in aging and cancers.
Identifiants
pubmed: 31131513
doi: 10.1002/2211-5463.12679
pmc: PMC6609580
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1292-1304Informations de copyright
© 2019 The Authors. Published by FEBS Press and John Wiley & Sons Ltd.
Références
PLoS One. 2017 Jul 19;12(7):e0176361
pubmed: 28723963
Cell. 2013 Jun 6;153(6):1194-217
pubmed: 23746838
Science. 2018 Nov 23;362(6417):911-917
pubmed: 30337457
Neurobiol Aging. 2013 Jan;34(1):200-10
pubmed: 22727942
PLoS One. 2013 Jun 25;8(6):e67899
pubmed: 23825689
PLoS One. 2009 Dec 18;4(12):e8274
pubmed: 20019873
Stoch Process Their Appl. 2016 Dec;126(12):3701-3715
pubmed: 28070139
Lancet Oncol. 2005 May;6(5):322-7
pubmed: 15863380
Sci Rep. 2015 Jul 01;5:12010
pubmed: 26131602
Reprod Biol Endocrinol. 2015 Jan 17;13:4
pubmed: 25596636
Int J Health Geogr. 2012 Apr 03;11:10
pubmed: 22471893
BMC Bioinformatics. 2017 Oct 18;18(1):455
pubmed: 29047346
Mech Ageing Dev. 2017 Sep;166:33-41
pubmed: 28844970
PLoS Comput Biol. 2012;8(2):e1002375
pubmed: 22383865
Cell Syst. 2018 Mar 28;6(3):282-300.e2
pubmed: 29596783
Brain Res Mol Brain Res. 2003 Aug 19;116(1-2):86-93
pubmed: 12941464
J Infect Dis. 2015 Nov 15;212(10):1563-73
pubmed: 25969563
Nat Commun. 2014;5:3231
pubmed: 24488081
Pharmacol Rev. 2015;67(2):338-67
pubmed: 25713288
PLoS Comput Biol. 2012;8(12):e1002820
pubmed: 23300411
Lancet Oncol. 2017 Dec;18(12):1579-1589
pubmed: 29111259
Nat Rev Genet. 2009 Mar;10(3):184-94
pubmed: 19223927
Biochim Biophys Acta Rev Cancer. 2018 Apr;1869(2):286-292
pubmed: 29660379
Neurobiol Aging. 2013 Apr;34(4):1080-9
pubmed: 23122920
Ageing Res Rev. 2013 Sep;12(4):982-95
pubmed: 23751484
Oncogene. 2018 Apr;37(14):1911-1925
pubmed: 29367767
Cancer Epidemiol Biomarkers Prev. 2016 Feb;25(2):231-8
pubmed: 26908594
Proc Natl Acad Sci U S A. 2005 Oct 25;102(43):15545-50
pubmed: 16199517
Lancet Oncol. 2017 Aug;18(8):1009-1021
pubmed: 28694034
Thyroid. 2012 Feb;22(2):151-6
pubmed: 22224819
Cancer Metastasis Rev. 2016 Sep;35(3):457-74
pubmed: 27501725
Oncotarget. 2016 Dec 13;7(50):82634-82647
pubmed: 27811365
Philos Trans R Soc Lond B Biol Sci. 2013 May 06;368(1620):20120362
pubmed: 23650636
Cancer Lett. 2015 Oct 1;366(2):150-9
pubmed: 26170166
Cell. 2018 Apr 5;173(2):291-304.e6
pubmed: 29625048
Cancer Epidemiol Biomarkers Prev. 2017 Dec;26(12):1695-1704
pubmed: 29167277
J Cancer. 2018 Jun 14;9(14):2415-2427
pubmed: 30026838
Genome Biol. 2013;14(10):R115
pubmed: 24138928
Curr Pharm Des. 2017;23(11):1687-1692
pubmed: 27784236
Cell. 2018 Apr 5;173(2):321-337.e10
pubmed: 29625050
Oncotarget. 2016 Dec 27;7(52):86948-86971
pubmed: 27894102
Dev Dyn. 2018 Mar;247(3):555-564
pubmed: 28073171
Updates Surg. 2016 Mar;68(1):7-11
pubmed: 27067591
Mol Aspects Med. 2013 Apr-Jun;34(2-3):236-51
pubmed: 23506868
PLoS One. 2012;7(10):e47730
pubmed: 23118893
PLoS Genet. 2015 Feb 18;11(2):e1004996
pubmed: 25692570
Front Cell Neurosci. 2019 Mar 01;13:70
pubmed: 30881290
J Gerontol A Biol Sci Med Sci. 2009 Feb;64(2):243-8
pubmed: 19182229