Age Is Important for the Early-Stage Detection of Breast Cancer on Both Transcriptomic and Methylomic Biomarkers

Patients at different ages have different rates of cell development and metabolisms. As a result, age should be an essential part of how a disease diagnosis model is trained and optimized. Unfortunately, most of the existing studies have not taken age into account. This study demonstrated that disea...

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Bibliographic Details
Published in:Frontiers in genetics 2019-03, Vol.10, p.212-212
Main Authors: Feng, Xin, Li, Jialiang, Li, Han, Chen, Hang, Li, Fei, Liu, Quewang, You, Zhu-Hong, Zhou, Fengfeng
Format: Article
Language:English
Subjects:
age
BRCA
classification
feature selection
Genetics
transcriptome
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Summary:Patients at different ages have different rates of cell development and metabolisms. As a result, age should be an essential part of how a disease diagnosis model is trained and optimized. Unfortunately, most of the existing studies have not taken age into account. This study demonstrated that disease diagnosis models could be improved by merely applying individual models for patients of different age groups. Both transcriptomes and methylomes of the TCGA breast cancer dataset (TCGA-BRCA) were utilized for the analysis procedure of feature selection and classification. Our experimental data strongly suggested that disease diagnosis modeling should integrate patient age into the whole experimental design.
ISSN:1664-8021
1664-8021
DOI:10.3389/fgene.2019.00212