Deconvolution of DNA methylation identifies differentially methylated gene regions on 1p36 across breast cancer subtypes.
Alexander J TitusGregory P WayKevin C JohnsonBrock C ChristensenPublished in: Scientific reports (2017)
Breast cancer is a complex disease consisting of four distinct molecular subtypes. DNA methylation-based (DNAm) studies in tumors are complicated further by disease heterogeneity. In the present study, we compared DNAm in breast tumors with normal-adjacent breast samples from The Cancer Genome Atlas (TCGA). We constructed models stratified by tumor stage and PAM50 molecular subtype and performed cell-type reference-free deconvolution to control for cellular heterogeneity. We identified nineteen differentially methylated gene regions (DMGRs) in early stage tumors across eleven genes (AGRN, C1orf170, FAM41C, FLJ39609, HES4, ISG15, KLHL17, NOC2L, PLEKHN1, SAMD11, WASH5P). These regions were consistently differentially methylated in every subtype and all implicated genes are localized to the chromosomal cytoband 1p36.3. Seventeen of these DMGRs were independently validated in a similar analysis of an external data set. The identification and validation of shared DNAm alterations across tumor subtypes in early stage tumors advances our understanding of common biology underlying breast carcinogenesis and may contribute to biomarker development. We also discuss evidence of the specific importance and potential function of 1p36 in cancer.
Keyphrases
- risk assessment
- genome wide
- dna methylation
- early stage
- human health
- copy number
- papillary thyroid
- genome wide identification
- gene expression
- single cell
- bioinformatics analysis
- childhood cancer
- wastewater treatment
- radiation therapy
- sentinel lymph node
- single molecule
- machine learning
- climate change
- lymph node
- young adults
- data analysis