The WID-BC-index identifies women with primary poor prognostic breast cancer based on DNA methylation in cervical samples
Jazyk angličtina Země Anglie, Velká Británie Médium electronic
Typ dokumentu hodnotící studie, časopisecké články, práce podpořená grantem
PubMed
35105882
PubMed Central
PMC8807602
DOI
10.1038/s41467-021-27918-w
PII: 10.1038/s41467-021-27918-w
Knihovny.cz E-zdroje
- MeSH
- cervix uteri cytologie metabolismus MeSH
- CpG ostrůvky MeSH
- epigenom MeSH
- epigenomika metody MeSH
- epitelové buňky metabolismus MeSH
- lidé MeSH
- metylace DNA * MeSH
- mutace MeSH
- nádorové biomarkery genetika metabolismus MeSH
- nádory prsu genetika metabolismus MeSH
- prognóza MeSH
- prsy cytologie metabolismus MeSH
- ROC křivka MeSH
- Check Tag
- lidé MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- hodnotící studie MeSH
- práce podpořená grantem MeSH
- Názvy látek
- nádorové biomarkery MeSH
Genetic and non-genetic factors contribute to breast cancer development. An epigenome-based signature capturing these components in easily accessible samples could identify women at risk. Here, we analyse the DNA methylome in 2,818 cervical, 357 and 227 matched buccal and blood samples respectively, and 42 breast tissue samples from women with and without breast cancer. Utilising cervical liquid-based cytology samples, we develop the DNA methylation-based Women's risk IDentification for Breast Cancer index (WID-BC-index) that identifies women with breast cancer with an AUROC (Area Under the Receiver Operator Characteristic) of 0.84 (95% CI: 0.80-0.88) and 0.81 (95% CI: 0.76-0.86) in internal and external validation sets, respectively. CpGs at progesterone receptor binding sites hypomethylated in normal breast tissue of women with breast cancer or in BRCA mutation carriers are also hypomethylated in cervical samples of women with poor prognostic breast cancer. Our data indicate that a systemic epigenetic programming defect is highly prevalent in women who develop breast cancer. Further studies validating the WID-BC-index may enable clinical implementation for monitoring breast cancer risk.
Breast Center Department of Obstetrics and Gynecology University of Munich Munich Germany
Breast Service University College London Hospital London UK
Centre for Cancer Biomarkers CCBIO Department of Clinical Science University of Bergen Bergen Norway
Department of Applied Health Research University College London London UK
Department of Health Sciences University of Leicester Leicester LE1 7RH UK
Department of Laboratory Medicine Division of Pathology Karolinska Institutet Stockholm Sweden
Department of Obstetrics and Gynaecology Haukeland University Hospital Bergen Norway
Department of Women's Cancer University College London London UK
Institute for Biomedical Aging Research Universität Innsbruck Innsbruck Austria
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Harbeck N, Gnant M. Breast cancer. Lancet. 2017;389:1134–1150. PubMed
Warner E. Clinical practice. Breast-cancer screening. N. Engl. J. Med. 2011;365:1025–1032. PubMed
Shen SY, et al. Sensitive tumour detection and classification using plasma cell-free DNA methylomes. Nature. 2018;563:579–583. PubMed
Widschwendter M, et al. Methylation patterns in serum DNA for early identification of disseminated breast cancer. Genome Med. 2017;9:115. PubMed PMC
Autier P, Boniol M. Mammography screening: A major issue in medicine. Eur. J. Cancer. 2018;90:34–62. PubMed
Gail MH, Pfeiffer RM. Breast Cancer Risk Model Requirements for Counseling, Prevention, and Screening. J. Natl Cancer Inst. 2018;110:994–1002. PubMed PMC
Pal Choudhury P, et al. Comparative Validation of Breast Cancer Risk Prediction Models and Projections for Future Risk Stratification. J. Natl Cancer Inst. 2020;112:278–285. PubMed PMC
Cohen PA, Jhingran A, Oaknin A, Denny L. Cervical cancer. Lancet. 2019;393:169–182. PubMed
Teschendorff AE, et al. DNA methylation outliers in normal breast tissue identify field defects that are enriched in cancer. Nat. Commun. 2016;7:10478. PubMed PMC
Lichtenstein P, et al. Environmental and heritable factors in the causation of cancer-analyses of cohorts of twins from Sweden, Denmark, and Finland. N. Engl. J. Med. 2000;343:78–85. PubMed
Ambatipudi S, et al. DNA methylome analysis identifies accelerated epigenetic ageing associated with postmenopausal breast cancer susceptibility. Eur. J. Cancer. 2017;75:299–307. PubMed PMC
Anjum S, et al. A BRCA1-mutation associated DNA methylation signature in blood cells predicts sporadic breast cancer incidence and survival. Genome Med. 2014;6:47. PubMed PMC
Severi G, et al. Epigenome-wide methylation in DNA from peripheral blood as a marker of risk for breast cancer. Breast Cancer Res Treat. 2014;148:665–673. PubMed
van Veldhoven K, et al. Epigenome-wide association study reveals decreased average methylation levels years before breast cancer diagnosis. Clin. Epigenetics. 2015;7:67. PubMed PMC
Xu Z, et al. Epigenome-wide association study of breast cancer using prospectively collected sister study samples. J. Natl Cancer Inst. 2013;105:694–700. PubMed PMC
Brennan K, et al. Intragenic ATM methylation in peripheral blood DNA as a biomarker of breast cancer risk. Cancer Res. 2012;72:2304–2313. PubMed
Chlebowski RT, et al. Association of Menopausal Hormone Therapy With Breast Cancer Incidence and Mortality During Long-term Follow-up of the Women’s Health Initiative Randomized Clinical Trials. JAMA. 2020;324:369–380. PubMed PMC
Widschwendter M, et al. The sex hormone system in carriers of BRCA1/2 mutations: a case-control study. Lancet Oncol. 2013;14:1226–1232. PubMed
Schramek D, et al. Osteoclast differentiation factor RANKL controls development of progestin-driven mammary cancer. Nature. 2010;468:98–102. PubMed PMC
Hosseini H, et al. Early dissemination seeds metastasis in breast cancer. Nature. 2016;540:552–558. PubMed PMC
Gonzalez-Suarez E, et al. RANK ligand mediates progestin-induced mammary epithelial proliferation and carcinogenesis. Nature. 2010;468:103–107. PubMed
Joshi PA, et al. Progesterone induces adult mammary stem cell expansion. Nature. 2010;465:803–807. PubMed
Poole AJ, et al. Prevention of Brca1-mediated mammary tumorigenesis in mice by a progesterone antagonist. Science. 2006;314:1467–1470. PubMed
Widschwendter M, et al. Epigenome-based cancer risk prediction: rationale, opportunities and challenges. Nat. Rev. Clin. Oncol. 2018;15:292–309. PubMed
Pidsley R, et al. Critical evaluation of the Illumina MethylationEPIC BeadChip microarray for whole-genome DNA methylation profiling. Genome Biol. 2016;17:208. PubMed PMC
Zheng SC, et al. A novel cell-type deconvolution algorithm reveals substantial contamination by immune cells in saliva, buccal and cervix. Epigenomics. 2018;10:925–940. PubMed
Kuchenbaecker KB, et al. Risks of Breast, Ovarian, and Contralateral Breast Cancer for BRCA1 and BRCA2 Mutation Carriers. JAMA. 2017;317:2402–2416. PubMed
Feinberg AP, Koldobskiy MA, Gondor A. Epigenetic modulators, modifiers and mediators in cancer aetiology and progression. Nat. Rev. Genet. 2016;17:284–299. PubMed PMC
Salhab A, et al. A comprehensive analysis of 195 DNA methylomes reveals shared and cell-specific features of partially methylated domains. Genome Biol. 2018;19:150. PubMed PMC
Mellemkjaer L, et al. Risk of primary non-breast cancer after female breast cancer by age at diagnosis. Cancer Epidemiol. Biomark. Prev. 2011;20:1784–1792. PubMed
Mavaddat N, et al. Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes. Am. J. Hum. Genet. 2019;104:21–34. PubMed PMC
Ho PJ, et al. DNA methylation and breast cancer-associated variants. Breast Cancer Res Treat. 2021;188:713–727. PubMed
Lacasa D, Le Liepvre X, Ferre P, Dugail I. Progesterone stimulates adipocyte determination and differentiation 1/sterol regulatory element-binding protein 1c gene expression. potential mechanism for the lipogenic effect of progesterone in adipose tissue. J. Biol. Chem. 2001;276:11512–11516. PubMed
Esslimani-Sahla M, et al. Increased expression of fatty acid synthase and progesterone receptor in early steps of human mammary carcinogenesis. Int J. Cancer. 2007;120:224–229. PubMed
Argov-Argaman N, Raz C, Roth Z. Progesterone Regulation of Milk Fat Globule Size Is VLDL Dependent. Front Endocrinol. (Lausanne) 2020;11:596. PubMed PMC
Mohammed H, et al. Progesterone receptor modulates ERalpha action in breast cancer. Nature. 2015;523:313–317. PubMed PMC
Yin P, et al. Genome-wide progesterone receptor binding: cell type-specific and shared mechanisms in T47D breast cancer cells and primary leiomyoma cells. PLoS ONE. 2012;7:e29021. PubMed PMC
Widschwendter, M. & Dubeau, L. Non-Surgical Cancer Risk Reduction in BRCA1 Mutation Carriers: Disabling the Remote Control. Cancers (Basel)12, 547 (2020). PubMed PMC
Kresovich JK, et al. Prediagnostic Immune Cell Profiles and Breast Cancer. JAMA Netw. Open. 2020;3:e1919536. PubMed PMC
Haggie JA, Sellwood RA, Howell A, Birch JM, Schor SL. Fibroblasts from relatives of patients with hereditary breast cancer show fetal-like behaviour in vitro. Lancet. 1987;1:1455–1457. PubMed
Levine ME, et al. Menopause accelerates biological aging. Proc. Natl Acad. Sci. USA. 2016;113:9327–9332. PubMed PMC
Perskvist N, Bjorklund C, Dillner J. A complex intervention for workflow enhancement at the Swedish cervical cytology biobank. Biopreserv Biobank. 2014;12:69–73. PubMed
Perskvist N, Norman I, Eklund C, Litton JE, Dillner J. The Swedish cervical cytology biobank: sample handling and storage process. Biopreserv Biobank. 2013;11:19–24. PubMed
Zhou W, Laird PW, Shen H. Comprehensive characterization, annotation and innovative use of Infinium DNA methylation BeadChip probes. Nucleic Acids Res. 2017;45:e22. PubMed PMC
Van Calster B, et al. Calibration: the Achilles heel of predictive analytics. BMC Med. 2019;17:230. PubMed PMC
Purcell S, et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am. J. Hum. Genet. 2007;81:559–575. PubMed PMC
Manichaikul A, et al. Robust relationship inference in genome-wide association studies. Bioinformatics. 2010;26:2867–2873. PubMed PMC
Das S, et al. Next-generation genotype imputation service and methods. Nat. Genet. 2016;48:1284–1287. PubMed PMC
Michailidou K, et al. Association analysis identifies 65 new breast cancer risk loci. Nature. 2017;551:92–94. PubMed PMC
Herzog. C., B. J., Widschwendter M. The WID-BC-index identifies women with primary poor prognostic breast cancer based on DNA methylation in cervical samples. Nat. Commun7, 10478 (2021). PubMed PMC
Cigarette Smoking and E-cigarette Use Induce Shared DNA Methylation Changes Linked to Carcinogenesis