1. Classification of Subgroups with Immune Characteristics Based on DNA Methylation in Luminal Breast Cancer.
- Author
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Zhang, Mengyan, Ma, Te, Wang, Cong, Zhao, Jiyun, Xing, Jie, Liu, Honghao, Su, Mu, Zhai, Ruiyang, Liu, Ting, Sun, Baoqing, and Zhang, Yan
- Subjects
DNA methylation ,BREAST cancer ,IMMUNE checkpoint proteins ,FEATURE selection ,TUMOR-infiltrating immune cells ,METHYLATION ,HISTONE methylation - Abstract
Luminal breast cancer (BC) accounts for a large proportion of patients in BC, with high heterogeneity. Determining the precise subtype and optimal selection of treatment options for luminal BC is a challenge. In this study, we proposed an MSBR framework that integrate DNA methylation profiles and transcriptomes to identify immune subgroups of luminal BC. MSBR was implemented both on a key module scoring algorithm and "Boruta" feature selection method by DNA methylation. Luminal A was divided into two subgroups and luminal B was divided into three subgroups using the MSBR. Furthermore, these subgroups were defined as different immune subgroups in luminal A and B respectively. The subgroups showed significant differences in DNA methylation levels, immune microenvironment (immune cell infiltration, immune checkpoint PD1/PD-L1 expression, immune cell cracking activity (CYT)) and pathology features (texture, eccentricity, intensity and tumor-infiltrating lymphocytes (TILs)). The results also showed that there is a subgroup in both luminal A and B that has the benefit from immunotherapy. This study proposed a classification of luminal BC from the perspective of epigenetics and immune characteristics, which provided individualized treatment decisions. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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