Methylation patterns in serum DNA for early identification of disseminated breast cancer
Jazyk angličtina Země Velká Británie, Anglie Médium electronic
Typ dokumentu klinické zkoušky, časopisecké články, multicentrická studie, práce podpořená grantem
Grantová podpora
G0801228
Medical Research Council - United Kingdom
G9901012
Medical Research Council - United Kingdom
PubMed
29268762
PubMed Central
PMC5740791
DOI
10.1186/s13073-017-0499-9
PII: 10.1186/s13073-017-0499-9
Knihovny.cz E-zdroje
- Klíčová slova
- Breast cancer, Cell-free DNA, DNA methylation, Early diagnosis, Personalized treatment, Serum DNA,
- MeSH
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- metylace DNA * MeSH
- nádorové biomarkery krev genetika MeSH
- nádorové cirkulující buňky metabolismus patologie MeSH
- nádory prsu krev genetika patologie MeSH
- senioři MeSH
- volné cirkulující nukleové kyseliny genetika MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- klinické zkoušky MeSH
- multicentrická studie MeSH
- práce podpořená grantem MeSH
- Názvy látek
- nádorové biomarkery MeSH
- volné cirkulující nukleové kyseliny MeSH
BACKGROUND: Monitoring treatment and early detection of fatal breast cancer (BC) remains a major unmet need. Aberrant circulating DNA methylation (DNAme) patterns are likely to provide a highly specific cancer signal. We hypothesized that cell-free DNAme markers could indicate disseminated breast cancer, even in the presence of substantial quantities of background DNA. METHODS: We used reduced representation bisulfite sequencing (RRBS) of 31 tissues and established serum assays based on ultra-high coverage bisulfite sequencing in two independent prospective serum sets (n = 110). The clinical use of one specific region, EFC#93, was validated in 419 patients (in both pre- and post-adjuvant chemotherapy samples) from SUCCESS (Simultaneous Study of Gemcitabine-Docetaxel Combination adjuvant treatment, as well as Extended Bisphosphonate and Surveillance-Trial) and 925 women (pre-diagnosis) from the UKCTOCS (UK Collaborative Trial of Ovarian Cancer Screening) population cohort, with overall survival and occurrence of incident breast cancer (which will or will not lead to death), respectively, as primary endpoints. RESULTS: A total of 18 BC specific DNAme patterns were discovered in tissue, of which the top six were further tested in serum. The best candidate, EFC#93, was validated for clinical use. EFC#93 was an independent poor prognostic marker in pre-chemotherapy samples (hazard ratio [HR] for death = 7.689) and superior to circulating tumor cells (CTCs) (HR for death = 5.681). More than 70% of patients with both CTCs and EFC#93 serum DNAme positivity in their pre-chemotherapy samples relapsed within five years. EFC#93-positive disseminated disease in post-chemotherapy samples seems to respond to anti-hormonal treatment. The presence of EFC#93 serum DNAme identified 42.9% and 25% of women who were diagnosed with a fatal BC within 3-6 and 6-12 months of sample donation, respectively, with a specificity of 88%. The sensitivity with respect to detecting fatal BC was ~ 4-fold higher compared to non-fatal BC. CONCLUSIONS: Detection of EFC#93 serum DNAme patterns offers a new tool for early diagnosis and management of disseminated breast cancers. Clinical trials are required to assess whether EFC#93-positive women in the absence of radiological detectable breast cancers will benefit from anti-hormonal treatment before the breast lesions become clinically apparent.
Boehringer Ingelheim Pharma GmbH and Co KG Target Discovery Research Biberach Germany
GATC Biotech AG Jakob Stadler Platz 7 78467 Konstanz Germany
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Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A. Global cancer statistics, 2012. CA Cancer J Clin. 2015;65(2):87–108. doi: 10.3322/caac.21262. PubMed DOI
Marmot MG, Altman DG, Cameron DA, Dewar JA, Thompson SG, Wilcox M. The benefits and harms of breast cancer screening: an independent review. Br J Cancer. 2013;108(11):2205–40. doi: 10.1038/bjc.2013.177. PubMed DOI PMC
Harper KL, Sosa MS, Entenberg D, Hosseini H, Cheung JF, Nobre R, et al. Mechanism of early dissemination and metastasis in Her2+ mammary cancer. Nature. 2016;540:588–92. doi: 10.1038/nature20609. PubMed DOI PMC
Kazarian A, Blyuss O, Metodieva G, Gentry-Maharaj A, Ryan A, Kiseleva EM, et al. Testing breast cancer serum biomarkers for early detection and prognosis in pre-diagnosis samples. Br J Cancer. 2017;116(4):501–8. doi: 10.1038/bjc.2016.433. PubMed DOI PMC
Braun S, Vogl FD, Naume B, Janni W, Osborne MP, Coombes RC, et al. A pooled analysis of bone marrow micrometastasis in breast cancer. N Engl J Med. 2005;353(8):793–802. doi: 10.1056/NEJMoa050434. PubMed DOI
Mansi JL, Gogas H, Bliss JM, Gazet JC, Berger U, Coombes RC. Outcome of primary-breast-cancer patients with micrometastases: a long-term follow-up study. Lancet. 1999;354(9174):197–202. doi: 10.1016/S0140-6736(98)10175-7. PubMed DOI
Klein CA, Blankenstein TJ, Schmidt-Kittler O, Petronio M, Polzer B, Stoecklein NH, et al. Genetic heterogeneity of single disseminated tumour cells in minimal residual cancer. Lancet. 2002;360(9334):683–9. doi: 10.1016/S0140-6736(02)09838-0. PubMed DOI
Bidard FC, Peeters DJ, Fehm T, Nole F, Gisbert-Criado R, Mavroudis D, et al. Clinical validity of circulating tumour cells in patients with metastatic breast cancer: a pooled analysis of individual patient data. Lancet Oncol. 2014;15(4):406–14. doi: 10.1016/S1470-2045(14)70069-5. PubMed DOI
Lucci A, Hall CS, Lodhi AK, Bhattacharyya A, Anderson AE, Xiao L, et al. Circulating tumour cells in non-metastatic breast cancer: a prospective study. Lancet Oncol. 2012;13(7):688–95. doi: 10.1016/S1470-2045(12)70209-7. PubMed DOI
Rack B, Schindlbeck C, Juckstock J, Andergassen U, Hepp P, Zwingers T, et al. Circulating tumor cells predict survival in early average-to-high risk breast cancer patients. J Natl Cancer Inst. 2014;106(5):dju066. doi: 10.1093/jnci/dju066. PubMed DOI PMC
Cristofanilli M, Budd GT, Ellis MJ, Stopeck A, Matera J, Miller MC, et al. Circulating tumor cells, disease progression, and survival in metastatic breast cancer. N Engl J Med. 2004;351(8):781–91. doi: 10.1056/NEJMoa040766. PubMed DOI
Janni WJ, Rack B, Terstappen LW, Pierga JY, Taran FA, Fehm T, et al. Pooled analysis of the prognostic relevance of circulating tumor cells in primary breast cancer. Clin Cancer Res. 2016;22(10):2583–93. doi: 10.1158/1078-0432.CCR-15-1603. PubMed DOI
Welch HG, Prorok PC, O’Malley AJ, Kramer BS. Breast-cancer tumor size, overdiagnosis, and mammography screening effectiveness. N Engl J Med. 2016;375(15):1438–47. doi: 10.1056/NEJMoa1600249. PubMed DOI
Klein CA. Parallel progression of primary tumours and metastases. Nat Rev Cancer. 2009;9(4):302–12. doi: 10.1038/nrc2627. PubMed DOI
Dawson SJ, Tsui DW, Murtaza M, Biggs H, Rueda OM, Chin SF, et al. Analysis of circulating tumor DNA to monitor metastatic breast cancer. N Engl J Med. 2013;368(13):1199–209. doi: 10.1056/NEJMoa1213261. PubMed DOI
Murtaza M, Dawson SJ, Tsui DW, Gale D, Forshew T, Piskorz AM, et al. Non-invasive analysis of acquired resistance to cancer therapy by sequencing of plasma DNA. Nature. 2013;497(7447):108–12. doi: 10.1038/nature12065. PubMed DOI
Wang Y, Springer S, Mulvey CL, Silliman N, Schaefer J, Sausen M, et al. Detection of somatic mutations and HPV in the saliva and plasma of patients with head and neck squamous cell carcinomas. Sci Transl Med. 2015;7(293):293ra104. doi: 10.1126/scitranslmed.aaa8507. PubMed DOI PMC
Siravegna G, Mussolin B, Buscarino M, Corti G, Cassingena A, Crisafulli G, et al. Clonal evolution and resistance to EGFR blockade in the blood of colorectal cancer patients. Nat Med. 2015;21(7):827. doi: 10.1038/nm0715-827b. PubMed DOI
Bettegowda C, Sausen M, Leary RJ, Kinde I, Wang Y, Agrawal N, et al. Detection of circulating tumor DNA in early- and late-stage human malignancies. Sci Transl Med. 2014;6(224):224ra224. doi: 10.1126/scitranslmed.3007094. PubMed DOI PMC
De Mattos-Arruda L, Caldas C. Cell-free circulating tumour DNA as a liquid biopsy in breast cancer. Mol Oncol. 2016;10(3):464–74. doi: 10.1016/j.molonc.2015.12.001. PubMed DOI PMC
Lanman RB, Mortimer SA, Zill OA, Sebisanovic D, Lopez R, Blau S, et al. Analytical and clinical validation of a digital sequencing panel for quantitative, highly accurate evaluation of cell-free circulating tumor DNA. PLoS One. 2015;10(10):e0140712. doi: 10.1371/journal.pone.0140712. PubMed DOI PMC
Baylin SB, Jones PA. A decade of exploring the cancer epigenome - biological and translational implications. Nat Rev Cancer. 2011;11(10):726–34. doi: 10.1038/nrc3130. PubMed DOI PMC
Teschendorff AE, Gao Y, Jones A, Ruebner M, Beckmann MW, Wachter DL, et al. DNA methylation outliers in normal breast tissue identify field defects that are enriched in cancer. Nat Commun. 2016;7:10478. doi: 10.1038/ncomms10478. PubMed DOI PMC
Fackler MJ, Lopez BZ, Umbricht C, Teo WW, Cho S, Zhang Z, et al. Novel methylated biomarkers and a robust assay to detect circulating tumor DNA in metastatic breast cancer. Cancer Res. 2014;74(8):2160–70. doi: 10.1158/0008-5472.CAN-13-3392. PubMed DOI PMC
Fiegl H, Millinger S, Mueller-Holzner E, Marth C, Ensinger C, Berger A, et al. Circulating tumor-specific DNA: a marker for monitoring efficacy of adjuvant therapy in cancer patients. Cancer Res. 2005;65(4):1141–5. doi: 10.1158/0008-5472.CAN-04-2438. PubMed DOI
Muller HM, Widschwendter A, Fiegl H, Ivarsson L, Goebel G, Perkmann E, et al. DNA methylation in serum of breast cancer patients: an independent prognostic marker. Cancer Res. 2003;63(22):7641–5. PubMed
Muller HM, Fiegl H, Widschwendter A, Widschwendter M. Prognostic DNA methylation marker in serum of cancer patients. Ann N Y Acad Sci. 2004;1022:44–9. doi: 10.1196/annals.1318.008. PubMed DOI
Warton K, Mahon KL, Samimi G. Methylated circulating tumor DNA in blood: power in cancer prognosis and response. Endocr Relat Cancer. 2016;23(3):R157–71. doi: 10.1530/ERC-15-0369. PubMed DOI PMC
Wittenberger T, Sleigh S, Reisel D, Zikan M, Wahl B, Alunni-Fabbroni M, et al. DNA methylation markers for early detection of women's cancer: promise and challenges. Epigenomics. 2014;6(3):311–27. doi: 10.2217/epi.14.20. PubMed DOI
Sun K, Jiang P, Chan KC, Wong J, Cheng YK, Liang RH, et al. Plasma DNA tissue mapping by genome-wide methylation sequencing for noninvasive prenatal, cancer, and transplantation assessments. Proc Natl Acad Sci U S A. 2015;112(40):E5503–12. doi: 10.1073/pnas.1508736112. PubMed DOI PMC
Visvanathan K, Fackler MS, Zhang Z, Lopez-Bujanda ZA, Jeter SC, Sokoll LJ, et al. Monitoring of serum DNA methylation as an early independent marker of response and survival in metastatic breast cancer: TBCRC 005 Prospective Biomarker Study. J Clin Oncol. 2017;35(7):751–8. doi: 10.1200/JCO.2015.66.2080. PubMed DOI PMC
Jacobs IJ, Menon U, Ryan A, Gentry-Maharaj A, Burnell M, Kalsi JK, et al. Ovarian cancer screening and mortality in the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS): a randomised controlled trial. Lancet. 2016;387(10022):945–56. doi: 10.1016/S0140-6736(15)01224-6. PubMed DOI PMC
Gu H, Smith ZD, Bock C, Boyle P, Gnirke A, Meissner A. Preparation of reduced representation bisulfite sequencing libraries for genome-scale DNA methylation profiling. Nat Protoc. 2011;6(4):468–81. doi: 10.1038/nprot.2010.190. PubMed DOI
Lee YK, Jin S, Duan S, Lim YC, Ng DP, Lin XM, et al. Improved reduced representation bisulfite sequencing for epigenomic profiling of clinical samples. Biol Proced Online. 2014;16(1):1. doi: 10.1186/1480-9222-16-1. PubMed DOI PMC
Newcombe RG. Two-sided confidence intervals for the single proportion: comparison of seven methods. Stat Med. 1998;17(8):857–72. doi: 10.1002/(SICI)1097-0258(19980430)17:8<857::AID-SIM777>3.0.CO;2-E. PubMed DOI
Suter CM, Hogg PJ, Price JT, Chong BH, Ward RL. Identification and characterisation of a platelet GPIb/V/IX-like complex on human breast cancers: implications for the metastatic process. Jpn J Cancer Res. 2001;92(10):1082–92. doi: 10.1111/j.1349-7006.2001.tb01063.x. PubMed DOI PMC
Gormally E, Caboux E, Vineis P, Hainaut P. Circulating free DNA in plasma or serum as biomarker of carcinogenesis: practical aspects and biological significance. Mutat Res. 2007;635(2-3):105–17. doi: 10.1016/j.mrrev.2006.11.002. PubMed DOI
Jiang P, Lo YM. The long and short of circulating cell-free DNA and the ins and outs of molecular diagnostics. Trends Genet. 2016;32(6):360–71. doi: 10.1016/j.tig.2016.03.009. PubMed DOI
Kang Q, Henry NL, Paoletti C, Jiang H, Vats P, Chinnaiyan AM, et al. Comparative analysis of circulating tumor DNA stability in KEDTA, Streck, and Cell Save blood collection tubes. Clin Biochem. 2016;49:1354–60. doi: 10.1016/j.clinbiochem.2016.03.012. PubMed DOI
Fenton JJ, Taplin SH, Carney PA, Abraham L, Sickles EA, D’Orsi C, et al. Influence of computer-aided detection on performance of screening mammography. N Engl J Med. 2007;356(14):1399–409. doi: 10.1056/NEJMoa066099. PubMed DOI PMC