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Comprehensive analyses of m6A regulators and interactive coding and non-coding RNAs across 32 cancer types

dc.contributor.authorShen, Sipeng
dc.contributor.authorZhang, Ruyang
dc.contributor.authorJiang, Yue
dc.contributor.authorLi, Yi
dc.contributor.authorLin, Lijuan
dc.contributor.authorLiu, Zhonghua
dc.contributor.authorZhao, Yang
dc.contributor.authorShen, Hongbing
dc.contributor.authorHu, Zhibin
dc.contributor.authorWei, Yongyue
dc.contributor.authorChen, Feng
dc.date.accessioned2022-08-10T18:22:18Z
dc.date.available2022-08-10T18:22:18Z
dc.date.issued2021-04-13
dc.identifier.citationMolecular Cancer. 2021 Apr 13;20(1):67
dc.identifier.urihttps://doi.org/10.1186/s12943-021-01362-2
dc.identifier.urihttps://hdl.handle.net/2027.42/173695en
dc.description.abstractAbstract N6-Methyladenosine (m6A) is an RNA modification that interacts with numerous coding and non-coding RNAs and plays important roles in the development of cancers. Nonetheless, the clinical impacts of m6A interactive genes on these cancers largely remain unclear since most studies focus only on a single cancer type. We comprehensively evaluated m6A modification patterns, including 23 m6A regulators and 83 interactive coding and non-coding RNAs among 9,804 pan-cancer samples. We used clustering analysis to identify m6A subtypes and constructed the m6A signature based on an unsupervised approach. We used the signatures to identify potential m6A modification targets across the genome. The prognostic value of one target was further validated in 3,444 samples from six external datasets. We developed three distinct m6A modification subtypes with different tumor microenvironment cell infiltration degrees: immunological, intermediate, and tumor proliferative. They were significantly associated with overall survival in 24 of 27 cancer types. Our constructed individual-level m6A signature was associated with survival, tumor mutation burden, and classical pathways. With the signature, we identified 114 novel genes as potential m6A targets. The gene shared most commonly between cancer types, BCL9L, is an oncogene and interacts with m6A patterns in the Wnt signaling pathway. In conclusion, m6A regulators and their interactive genes impact the outcome of various cancers. Evaluating the m6A subtype and the signature of individual tumors may inform the design of adjuvant treatments.
dc.titleComprehensive analyses of m6A regulators and interactive coding and non-coding RNAs across 32 cancer types
dc.typeArticleen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/173695/1/12943_2021_Article_1362.pdf
dc.identifier.doihttps://dx.doi.org/10.7302/5426
dc.language.rfc3066en
dc.rights.holderThe Author(s)
dc.date.updated2022-08-10T18:22:17Z
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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