Abstract

Co-occurrence and mutual exclusivity (COME) of DNA methylation refer to two or more genes that tend to be positively or negatively correlated in DNA methylation among different samples. Although COME of gene mutations in pan-cancer have been well explored, little is known about the COME of DNA methylation in pan-cancer. Here, we systematically explored the COME of DNA methylation profile in diverse human cancer. A total of 5,128,332 COME events were identified in 14 main cancers types in The Cancer Genome Atlas (TCGA). We also identified functional epigenetic modules of the zinc finger gene family in six cancer types by integrating the gene expression and DNA methylation data and the frequently occurred COME network. Interestingly, most of the genes in those functional epigenetic modules are epigenetically repressed. Strikingly, those frequently occurred COME events could be used to classify the patients into several subtypes with significant different clinical outcomes in six cancers as well as pan-cancer (p-value ≤ = 0.05). Moreover, we observed significant associations between different COME subtypes and clinical features (e.g., age, gender, histological type, neoplasm histologic grade, and pathologic stage) in distinct cancers. Taken together, we identified millions of COME events of DNA methylation in pan-cancer and detected functional epigenetic COME events that could separate tumor patients into different subtypes, which may benefit the diagnosis and prognosis of pan-cancer.

Highlights

  • DNA methylation (DNAm) is a major epigenetic modification, which is considered as an approach for disease diagnosis

  • Co-occurrence and mutual exclusivity (COME) Analysis of DNA Methylation of tumor suppressor genes have been observed in pediatric acute myeloid leukemia (Tao et al, 2014), bladder (Garcia-Baquero et al, 2014) and adult brain tumors (Hill et al, 2011) as well as hepatocellular carcinoma (Revill et al, 2013), which may lead to proliferative advantages and aggressive phenotypes during tumorigenesis (Suva et al, 2013)

  • We found that the selected CO and mutually exclusivity (ME) events could be used to classify different types of tumors including pan-cancer into several subtypes with significantly different progression-free interval (PFI)

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Summary

INTRODUCTION

DNA methylation (DNAm) is a major epigenetic modification, which is considered as an approach for disease diagnosis. A number of algorithms have been developed for estimating the significance of ME and CO patterns between two genes (Canisius et al, 2016; Hua et al, 2016; Kim et al, 2017) Some of those tools can be used on DNA methylation data (Canisius et al, 2016), making it possible to comprehensively investigate the CO and ME events of DNAm in diverse The Cancer Genome Atlas (TCGA) cancers. We first detected the CO and ME events of DNAm in 14 distinct cancers and explored the relationship between related gene pairs at gene expression and DNA methylation level. Kruskal-Wallis H-test and Chi-square test were performed with Python package SciPy (Jones et al, 2014)

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DATA AVAILABILITY STATEMENT
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