Altered gene expression due to aberrant DNA methylation correlates with responsiveness to anti-EGFR antibody treatment.
Yasufumi OtsukiKota OuchiShin TakahashiKeiju SasakiYasuhiro SakamotoAkira OkitaChikashi IshiokaPublished in: Cancer science (2022)
The cetuximab gene expression signature and DNA methylation status of colorectal cancer (CRC) are predictive of the therapeutic effects of anti-epidermal growth factor receptor (EGFR) antibody therapy. As DNA methylation is a means of regulating gene expression, it may play an important role in the expression of cetuximab signature genes. This study aims to determine the effects of aberrant DNA methylation on the regulation of cetuximab signature gene expression. Comprehensive DNA methylation and gene expression data were retrieved from CRC patients in three tumor tissue (TT) cohorts and three normal colorectal mucosa/tumor tissue paired (NCM-TT) cohorts. Of the 231 cetuximab signature genes, 57 exhibited an inverse correlation between the methylation of promoter CpG sites and gene expression level in multiple cohorts. About two-thirds of the promoter CpG sites associated with the 57 genes exhibited this correlation. In all 57 gene promoter regions, the methylation levels in NCMs did not differ according to comparisons based on cetuximab signature or DNA methylation status classification of matched TTs. Thus, the altered expression of 57 genes was caused by aberrant DNA methylation during carcinogenesis. Analysis of the association between cetuximab signature or DNA methylation status and progression-free survival (PFS) of anti-EGFR antibody agents in the same cohort showed that DNA methylation status was most associated with PFS. In conclusion, we found that aberrant DNA methylation regulates specific gene expression in cetuximab signature during carcinogenesis, suggesting that it is one of the important determinants of sensitivity to anti-EGFR antibody agents.
Keyphrases
- dna methylation
- gene expression
- genome wide
- epidermal growth factor receptor
- small cell lung cancer
- copy number
- tyrosine kinase
- metastatic colorectal cancer
- poor prognosis
- locally advanced
- wild type
- advanced non small cell lung cancer
- deep learning
- machine learning
- transcription factor
- genome wide identification
- radiation therapy
- newly diagnosed
- long non coding rna
- ejection fraction
- mesenchymal stem cells
- cell therapy
- prognostic factors