Basic Biology of Aging: Beyond Chronological Age: using a molecular clock for hidden biological aging

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Speaker

Kit Curtius, PhD
Fred Hutchinson Cancer Research Center


Date & Time

April 29, 2016 at 12:00pm - 1:30pm

Location

Foege N-130

Calendar

Basic Biology of Aging

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Add to Calendar 04/29/2016 12:00 PM 04/29/2016 01:30 PM America/Los_Angeles Basic Biology of Aging: Beyond Chronological Age: using a molecular clock for hidden biological aging Basic Biology of Aging: Beyond Chronological Age: using a molecular clock for hidden biological aging

Kit Curtius, PhD
Fred Hutchinson Cancer Research Center
Why Attend? Beyond Chronological Age: using a molecular clock for hidden biological aging Biomarkers that drift differentially with age between normal and premalignant tissues, such as Barrett’s esophagus (BE), have the potential to improve the assessment of a patient’s cancer risk by providing quantitative information about how long a patient has lived with the precursor (i.e., dwell time). In the case of BE, such biomarkers would be particularly useful because esophageal adenocarcinoma (EAC) risk may change with BE dwell time and it is generally not known how long a patient has lived with BE when a patient is first diagnosed with this condition. In this study we first describe a statistical analysis of DNA methylation data derived from tissue samples from 50 BE patients to identify and validate a set of 67 CpG dinucleotides that undergo age-related methylomic drift. Our application of a Bayesian model to BE patients’ methylomic profiles exposes a wide heterogeneity in patient-specific BE onset times, with significantly earlier onsets occurring for familial BE patients. Our analysis supports the conjecture that differential methylomic drift occurs in BE (relative to normal squamous tissue) and hence allows quantitative estimation of the time that a BE. patient has lived with BE.
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Why Attend?

Beyond Chronological Age: using a molecular clock for hidden biological aging

Biomarkers that drift differentially with age between normal and premalignant tissues, such as Barrett’s esophagus (BE), have the potential to improve the assessment of a patient’s cancer risk by providing quantitative information about how long a patient has lived with the precursor (i.e., dwell time). In the case of BE, such biomarkers would be particularly useful because esophageal adenocarcinoma (EAC) risk may change with BE dwell time and it is generally not known how long a patient has lived with BE when a patient is first diagnosed with this condition. In this study we first describe a statistical analysis of DNA methylation data derived from tissue samples from 50 BE patients to identify and validate a set of 67 CpG dinucleotides that undergo age-related methylomic drift. Our application of a Bayesian model to BE patients’ methylomic profiles exposes a wide heterogeneity in patient-specific BE onset times, with significantly earlier onsets occurring for familial BE patients. Our analysis supports the conjecture that differential methylomic drift occurs in BE (relative to normal squamous tissue) and hence allows quantitative estimation of the time that a BE. patient has lived with BE.