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A m(6)Avalue predictive of prostate cancer stemness, tumor immune landscape and immunotherapy response

The molecular mechanisms underpinning prostate cancer (PCa) progression are incompletely understood, and precise stratification of aggressive primary PCa (pri-PCa) from indolent ones poses a major clinical challenge. Here, we comprehensively dissect, genomically and transcriptomically, the m(6)A (N(...

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Detalles Bibliográficos
Autores principales: Zou, Cheng, He, Qinju, Feng, Yuqing, Chen, Mengjie, Zhang, Dingxiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8953419/
https://www.ncbi.nlm.nih.gov/pubmed/35350771
http://dx.doi.org/10.1093/narcan/zcac010
Descripción
Sumario:The molecular mechanisms underpinning prostate cancer (PCa) progression are incompletely understood, and precise stratification of aggressive primary PCa (pri-PCa) from indolent ones poses a major clinical challenge. Here, we comprehensively dissect, genomically and transcriptomically, the m(6)A (N(6)-methyladenosine) pathway as a whole in PCa. Expression, but not the genomic alteration, repertoire of the full set of 24 m(6)A regulators at the population level successfully stratifies pri-PCa into three m(6)A clusters with distinct molecular and clinical features. These three m(6)A modification patterns closely correlate with androgen receptor signaling, stemness, proliferation and tumor immunogenicity of cancer cells, and stroma activity and immune landscape of tumor microenvironment (TME). We observe a discrepancy between a potentially higher neoantigen production and a deficiency in antigen presentation processes in aggressive PCa, offering insights into the failure of immunotherapy. Identification of PCa-specific m(6)A phenotype-associated genes provides a basis for construction of m(6)Avalue to measure m(6)A methylation patterns in individual patients. Tumors with lower m(6)Avalue are relatively indolent with abundant immune cell infiltration and stroma activity. Interestingly, m(6)Avalue separates PCa TME into fibrotic and nonfibrotic phenotypes (instead of previously reported immune-proficient or -desert phenotypes in other cancer types). Significantly, m(6)Avalue can be used to predict drug response and clinical immunotherapy efficacy in both castration-resistant PCa and other cancer types. Therefore, our study establishes m(6)A methylation modification pattern as a determinant in PCa progression via impacting cancer cell aggressiveness and TME remodeling.