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pmid:34276701

Identification and Validation of Immune-Related Methylation Clusters for Predicting Immune Activity and Prognosis in Breast Cancer.

Anli Yang · Ying Zhou · Yanan Kong · Xiaoli Wei · Feng Ye · Lijuan Zhang · Xian Zhong · Mingyue Li · Shilin Lu · Xin An · Weikai Xiao

Frontiers in immunology · 2021 doi:10.3389/fimmu.2021.704557

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

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pmid:34276701
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science-record
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title
Identification and Validation of Immune-Related Methylation Clusters for Predicting Immune Activity and Prognosis in Breast Cancer.
doi
10.3389/fimmu.2021.704557
pmid
34276701
authors array · 11 items
[0]
Anli Yang
[1]
Ying Zhou
[2]
Yanan Kong
[3]
Xiaoli Wei
[4]
Feng Ye
[5]
Lijuan Zhang
[6]
Xian Zhong
[7]
Mingyue Li
[8]
Shilin Lu
[9]
Xin An
[10]
Weikai Xiao
journal
Frontiers in immunology
year
2021
abstract
The role of DNA methylation of breast cancer-infiltrating immune cells has not been fully explored. We conducted a cohort-based retrospective study analyzing the genome-wide immune-related DNA methylation of 1057 breast cancer patients from the TCGA cohort and GSE72308 cohort. Based on patients' overall survival (OS), a prognostic risk score system using 18 immune-related methylation genes (IRMGs) was established and further validated in an independent cohort. Kaplan-Meier analysis showed a clear separation of OS between the low- and high-risk groups. Patients in the low-risk group had a higher immune score and stromal score compared with the high-risk group. Moreover, the characteristics based on 18-IRMGs signature were related to the tumor immune microenvironment and affected the abundance of tumor-infiltrating immune cells. Consistently, the 18-IRMGs signatures showed similar influences on immune modulation and survival in another external validation cohort (GSE72308). In conclusion, the proposed 18-IRMGs signature could be a potential marker for breast cancer prognostication.
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the OS of different subgroups were compared using the Kaplan-Meier method with the log-rank test.
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DNA methylation-based immune response signature improves patient diagnosis in multiple cancers
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dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
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the OS of different subgroups were compared using the Kaplan-Meier method with the log-rank test.
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Complete file
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We conducted a cohort-based retrospective study analyzing the genome-wide immune-related DNA methylation of 1057 breast cancer patients from the TCGA cohort and GSE72308 cohort. Based on patients' overall survival (OS), a prognostic risk score system using 18 immune-related methylation genes (IRMGs) was established and further validated in an independent cohort. Kaplan-Meier analysis showed a clear separation of OS between the low- and high-risk groups. Patients in the low-risk group had a higher immune score and stromal score compared with the high-risk group. Moreover, the characteristics based on 18-IRMGs signature were related to the tumor immune microenvironment and affected the abundance of tumor-infiltrating immune cells. Consistently, the 18-IRMGs signatures showed similar influences on immune modulation and survival in another external validation cohort (GSE72308). 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