Abstract 5414: Epigenetic age acceleration and chronic health conditions among adult survivors of childhood cancer: A report from the St. Jude Lifetime Cohort

Background: The epigenetic clock becomes an important biomarker in aging research, where epigenetic age (EA) approximates chronological age with high accuracy and epigenetic age acceleration (EAA) demonstrates superior performance in predicting health outcomes in the general population. The utility...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Cancer research (Chicago, Ill.) Ill.), 2020-08, Vol.80 (16_Supplement), p.5414-5414
Hauptverfasser: Qin, Na, Li, Zhenghong, Song, Nan, Easton, John, Mulder, Heather, Plyler, Emily, Neale, Geoffery, Walker, Emily, Wilson, Carmen L., Hudson, Melissa M., Yasui, Yutaka, Robison, Leslie L., Zhang, Jinghui, Ness, Kirsten K., Wang, Zhaoming
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Background: The epigenetic clock becomes an important biomarker in aging research, where epigenetic age (EA) approximates chronological age with high accuracy and epigenetic age acceleration (EAA) demonstrates superior performance in predicting health outcomes in the general population. The utility of EAA among adult survivors of childhood cancer is largely unknown. We aimed to compare EAA between childhood cancer survivors and non-cancer controls, and evaluate associations between EAA, treatment exposures, health behaviors, and chronic health conditions (CHCs) among survivors. Methods: Genome-wide methylation data were generated with Infinium EPIC BeadChip on blood derived DNA from 2139 survivors and 282 community controls with no prior history of cancer. EAA was estimated as the residual value from the fit of a simple linear regression of EA (using Levine's clock) on chronological age (i.e., age at DNA sampling). Cumulative doses of chemotherapy and region-specific radiation exposures were abstracted from medical records. Health behaviors including physical activity, diet, tobacco smoking, and alcohol consumption were assessed from questionnaires and categorized as favorable, intermediate and unfavorable. Multivariable piecewise-exponential regression model was employed to evaluate associations of EAA with 59 clinically assessed CHCs. Results: EA was highly correlated with chronological age with the same Pearson coefficient (r = 0.88) in survivors and controls; however, EAA was significantly higher in survivors than controls, overall (adjusted least square mean [ALSM] = 0.63 vs. -3.61 years, P
ISSN:0008-5472
1538-7445
DOI:10.1158/1538-7445.AM2020-5414