guest ::
| Home > Publications database > Buffy coat signatures of breast cancer risk in a prospective cohort study. > print |
| Home > Publications database > Buffy coat signatures of breast cancer risk in a prospective cohort study. > print |
| 001 | 276787 | ||
| 005 | 20240229155004.0 | ||
| 024 | 7 | _ | |a 10.1186/s13148-023-01509-6 |2 doi |
| 024 | 7 | _ | |a pmid:37309009 |2 pmid |
| 024 | 7 | _ | |a 1868-7075 |2 ISSN |
| 024 | 7 | _ | |a 1868-7083 |2 ISSN |
| 024 | 7 | _ | |a altmetric:149951162 |2 altmetric |
| 037 | _ | _ | |a DKFZ-2023-01162 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Chung, Felicia Fei-Lei |b 0 |
| 245 | _ | _ | |a Buffy coat signatures of breast cancer risk in a prospective cohort study. |
| 260 | _ | _ | |a [Erscheinungsort nicht ermittelbar] |c 2023 |b BioMed Central |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1686662572_12250 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 500 | _ | _ | |a #EA:C020#LA:C020# |
| 520 | _ | _ | |a Epigenetic alterations are a near-universal feature of human malignancy and have been detected in malignant cells as well as in easily accessible specimens such as blood and urine. These findings offer promising applications in cancer detection, subtyping, and treatment monitoring. However, much of the current evidence is based on findings in retrospective studies and may reflect epigenetic patterns that have already been influenced by the onset of the disease.Studying breast cancer, we established genome-scale DNA methylation profiles of prospectively collected buffy coat samples (n = 702) from a case-control study nested within the EPIC-Heidelberg cohort using reduced representation bisulphite sequencing (RRBS).We observed cancer-specific DNA methylation events in buffy coat samples. Increased DNA methylation in genomic regions associated with SURF6 and REXO1/CTB31O20.3 was linked to the length of time to diagnosis in the prospectively collected buffy coat DNA from individuals who subsequently developed breast cancer. Using machine learning methods, we piloted a DNA methylation-based classifier that predicted case-control status in a held-out validation set with 76.5% accuracy, in some cases up to 15 years before clinical diagnosis of the disease.Taken together, our findings suggest a model of gradual accumulation of cancer-associated DNA methylation patterns in peripheral blood, which may be detected long before clinical manifestation of cancer. Such changes may provide useful markers for risk stratification and, ultimately, personalized cancer prevention. |
| 536 | _ | _ | |a 313 - Krebsrisikofaktoren und Prävention (POF4-313) |0 G:(DE-HGF)POF4-313 |c POF4-313 |f POF IV |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de |
| 650 | _ | 7 | |a Breast cancer |2 Other |
| 650 | _ | 7 | |a Cancer risk markers |2 Other |
| 650 | _ | 7 | |a DNA methylation |2 Other |
| 650 | _ | 7 | |a Epigenetics |2 Other |
| 650 | _ | 7 | |a Prospective cohort |2 Other |
| 700 | 1 | _ | |a Maldonado, Sandra González |0 P:(DE-HGF)0 |b 1 |e First author |
| 700 | 1 | _ | |a Nemc, Amelie |b 2 |
| 700 | 1 | _ | |a Bouaoun, Liacine |b 3 |
| 700 | 1 | _ | |a Cahais, Vincent |b 4 |
| 700 | 1 | _ | |a Cuenin, Cyrille |b 5 |
| 700 | 1 | _ | |a Salle, Aurelie |b 6 |
| 700 | 1 | _ | |a Johnson, Theron |0 P:(DE-He78)79ab945544e5bc017a2317b6146ed3aa |b 7 |u dkfz |
| 700 | 1 | _ | |a Ergüner, Bekir |b 8 |
| 700 | 1 | _ | |a Laplana, Marina |0 P:(DE-He78)e7d83ba57c27ef97b4cd5b96693bea0f |b 9 |
| 700 | 1 | _ | |a Datlinger, Paul |b 10 |
| 700 | 1 | _ | |a Jeschke, Jana |b 11 |
| 700 | 1 | _ | |a Weiderpass, Elisabete |b 12 |
| 700 | 1 | _ | |a Kristensen, Vessela |b 13 |
| 700 | 1 | _ | |a Delaloge, Suzette |b 14 |
| 700 | 1 | _ | |a Fuks, François |b 15 |
| 700 | 1 | _ | |a Risch, Angela |0 P:(DE-He78)4981f4ef151aea881f38b33df8e35a21 |b 16 |
| 700 | 1 | _ | |a Ghantous, Akram |b 17 |
| 700 | 1 | _ | |a Plass, Christoph |0 P:(DE-He78)4301875630bc997edf491c694ae1f8a9 |b 18 |u dkfz |
| 700 | 1 | _ | |a Bock, Christoph |b 19 |
| 700 | 1 | _ | |a Kaaks, Rudolf |0 P:(DE-He78)4b2dc91c9d1ac33a1c0e0777d0c1697a |b 20 |e Last author |u dkfz |
| 700 | 1 | _ | |a Herceg, Zdenko |b 21 |
| 773 | _ | _ | |a 10.1186/s13148-023-01509-6 |g Vol. 15, no. 1, p. 102 |0 PERI:(DE-600)2553921-8 |n 1 |p 102 |t Clinical epigenetics |v 15 |y 2023 |x 1868-7075 |
| 909 | C | O | |o oai:inrepo02.dkfz.de:276787 |p VDB |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 1 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 7 |6 P:(DE-He78)79ab945544e5bc017a2317b6146ed3aa |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 9 |6 P:(DE-He78)e7d83ba57c27ef97b4cd5b96693bea0f |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 16 |6 P:(DE-He78)4981f4ef151aea881f38b33df8e35a21 |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 18 |6 P:(DE-He78)4301875630bc997edf491c694ae1f8a9 |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 20 |6 P:(DE-He78)4b2dc91c9d1ac33a1c0e0777d0c1697a |
| 913 | 1 | _ | |a DE-HGF |b Gesundheit |l Krebsforschung |1 G:(DE-HGF)POF4-310 |0 G:(DE-HGF)POF4-313 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-300 |4 G:(DE-HGF)POF |v Krebsrisikofaktoren und Prävention |x 0 |
| 914 | 1 | _ | |y 2023 |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2022-11-25 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2022-11-25 |
| 915 | _ | _ | |a Article Processing Charges |0 StatID:(DE-HGF)0561 |2 StatID |d 2022-11-25 |
| 915 | _ | _ | |a Fees |0 StatID:(DE-HGF)0700 |2 StatID |d 2022-11-25 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2023-08-19 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2023-08-19 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0320 |2 StatID |b PubMed Central |d 2023-08-19 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0501 |2 StatID |b DOAJ Seal |d 2023-04-12T15:09:22Z |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0500 |2 StatID |b DOAJ |d 2023-04-12T15:09:22Z |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b DOAJ : Anonymous peer review |d 2023-04-12T15:09:22Z |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2023-08-19 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2023-08-19 |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b CLIN EPIGENETICS : 2022 |d 2023-08-19 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2023-08-19 |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |d 2023-08-19 |
| 915 | _ | _ | |a IF >= 5 |0 StatID:(DE-HGF)9905 |2 StatID |b CLIN EPIGENETICS : 2022 |d 2023-08-19 |
| 920 | 2 | _ | |0 I:(DE-He78)C020-20160331 |k C020 |l C020 Epidemiologie von Krebs |x 0 |
| 920 | 1 | _ | |0 I:(DE-He78)C020-20160331 |k C020 |l C020 Epidemiologie von Krebs |x 0 |
| 920 | 1 | _ | |0 I:(DE-He78)B370-20160331 |k B370 |l Epigenomik |x 1 |
| 920 | 0 | _ | |0 I:(DE-He78)C020-20160331 |k C020 |l C020 Epidemiologie von Krebs |x 0 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-He78)C020-20160331 |
| 980 | _ | _ | |a I:(DE-He78)B370-20160331 |
| 980 | _ | _ | |a UNRESTRICTED |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|