AI Article Synopsis
- The study aimed to evaluate the impact of the CpG island methylator phenotype (CIMP) on different cancer subtypes using various omic data.
- Researchers analyzed 16 datasets from The Cancer Genome Atlas, focusing on 4688 tumor samples to identify cancer integrative subtypes through advanced analysis methods.
- Findings revealed that in 9 out of 16 datasets, CIMP high clusters correlated with distinct cancer subtypes, but the influence of CIMP varied, indicating that only in certain cancer types does it play a significant role in defining these subtypes.
Article Abstract
Aim: We aimed to assess to what extent CpG island methylator phenotype (CIMP) contributes to cancer subtypes obtained by multilevel omic data analysis.
Materials & Methods: 16 The Cancer Genome Atlas datasets encompassing three data layers in 4688 tumor samples were analyzed. We identified cancer integrative subtypes (ISs) by the use of similarity network fusion and consensus clustering. CIMP high (CIMP-H) associated ISs were profiled by gene sets and transcriptional regulators enrichment analysis.
Results & Conclusion: In nine out of 16 cancer datasets CIMP-H clusters significantly overlaped with unique ISs. The contribution of CIMP-H on integrative molecular profiling is variable; therefore, only in a subset of cancer types does CIMP-H contribute to homogenous integrative subtype. CIMP-H associated ISs are heterogenous groups with regard to deregulated pathways and transcriptional regulators.
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| http://dx.doi.org/10.2217/epi-2018-0057 | DOI Listing |
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