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Buffy coat signatures of breast cancer risk in a prospective cohort study
by
Jeschke, Jana
, Delaloge, Suzette
, Bock, Christoph
, Johnson, Theron
, Maldonado, Sandra González
, Plass, Christoph
, Ergüner, Bekir
, Cuenin, Cyrille
, Chung, Felicia Fei-Lei
, Bouaoun, Liacine
, Kristensen, Vessela
, Ghantous, Akram
, Datlinger, Paul
, Weiderpass, Elisabete
, Laplana, Marina
, Salle, Aurelie
, Herceg, Zdenko
, Cahais, Vincent
, Nemc, Amelie
, Risch, Angela
, Kaaks, Rudolf
, Fuks, François
in
Biomarkers
/ Biomedical and Life Sciences
/ Biomedicine
/ Breast cancer
/ Breast Neoplasms
/ Buffy coat
/ Cancer
/ Cancer risk markers
/ Case-Control Studies
/ Cell cycle
/ Cohort analysis
/ Datasets
/ Development and progression
/ Diagnosis
/ DNA Methylation
/ Epigenetic inheritance
/ Epigenetics
/ Female
/ Gene Function
/ Genes
/ Genetic aspects
/ Genomics
/ Health aspects
/ Human Genetics
/ Humans
/ Machine learning
/ Malignancy
/ Medical screening
/ Methylation
/ Mortality
/ Nuclear Proteins
/ Oncology, Experimental
/ Peripheral blood
/ Prevention
/ Prospective cohort
/ Prospective Studies
/ Proteins
/ Retrospective Studies
/ Risk factors
/ Tumors
2023
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Buffy coat signatures of breast cancer risk in a prospective cohort study
by
Jeschke, Jana
, Delaloge, Suzette
, Bock, Christoph
, Johnson, Theron
, Maldonado, Sandra González
, Plass, Christoph
, Ergüner, Bekir
, Cuenin, Cyrille
, Chung, Felicia Fei-Lei
, Bouaoun, Liacine
, Kristensen, Vessela
, Ghantous, Akram
, Datlinger, Paul
, Weiderpass, Elisabete
, Laplana, Marina
, Salle, Aurelie
, Herceg, Zdenko
, Cahais, Vincent
, Nemc, Amelie
, Risch, Angela
, Kaaks, Rudolf
, Fuks, François
in
Biomarkers
/ Biomedical and Life Sciences
/ Biomedicine
/ Breast cancer
/ Breast Neoplasms
/ Buffy coat
/ Cancer
/ Cancer risk markers
/ Case-Control Studies
/ Cell cycle
/ Cohort analysis
/ Datasets
/ Development and progression
/ Diagnosis
/ DNA Methylation
/ Epigenetic inheritance
/ Epigenetics
/ Female
/ Gene Function
/ Genes
/ Genetic aspects
/ Genomics
/ Health aspects
/ Human Genetics
/ Humans
/ Machine learning
/ Malignancy
/ Medical screening
/ Methylation
/ Mortality
/ Nuclear Proteins
/ Oncology, Experimental
/ Peripheral blood
/ Prevention
/ Prospective cohort
/ Prospective Studies
/ Proteins
/ Retrospective Studies
/ Risk factors
/ Tumors
2023
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Buffy coat signatures of breast cancer risk in a prospective cohort study
by
Jeschke, Jana
, Delaloge, Suzette
, Bock, Christoph
, Johnson, Theron
, Maldonado, Sandra González
, Plass, Christoph
, Ergüner, Bekir
, Cuenin, Cyrille
, Chung, Felicia Fei-Lei
, Bouaoun, Liacine
, Kristensen, Vessela
, Ghantous, Akram
, Datlinger, Paul
, Weiderpass, Elisabete
, Laplana, Marina
, Salle, Aurelie
, Herceg, Zdenko
, Cahais, Vincent
, Nemc, Amelie
, Risch, Angela
, Kaaks, Rudolf
, Fuks, François
in
Biomarkers
/ Biomedical and Life Sciences
/ Biomedicine
/ Breast cancer
/ Breast Neoplasms
/ Buffy coat
/ Cancer
/ Cancer risk markers
/ Case-Control Studies
/ Cell cycle
/ Cohort analysis
/ Datasets
/ Development and progression
/ Diagnosis
/ DNA Methylation
/ Epigenetic inheritance
/ Epigenetics
/ Female
/ Gene Function
/ Genes
/ Genetic aspects
/ Genomics
/ Health aspects
/ Human Genetics
/ Humans
/ Machine learning
/ Malignancy
/ Medical screening
/ Methylation
/ Mortality
/ Nuclear Proteins
/ Oncology, Experimental
/ Peripheral blood
/ Prevention
/ Prospective cohort
/ Prospective Studies
/ Proteins
/ Retrospective Studies
/ Risk factors
/ Tumors
2023
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Buffy coat signatures of breast cancer risk in a prospective cohort study
Journal Article
Buffy coat signatures of breast cancer risk in a prospective cohort study
2023
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Overview
Background
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.
Methods
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).
Results
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.
Conclusions
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.
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