Machine learning-based screening of an epithelial-mesenchymal transition-related long non-coding RNA signature reveals lower-grade glioma prognosis and the tumor microenvironment and predicts antitumor therapy response

Epithelial-mesenchymal transition (EMT) confers high invasive and migratory capacity to cancer cells, which limits the effectiveness of tumor therapy. Long non-coding RNAs (lncRNAs) can regulate the dynamic process of EMT at different levels through various complex regulatory networks. We aimed to c...

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Detalles Bibliográficos
Autores principales: Wang, Nan, Gao, Xin, Ji, Hang, Ma, Shuai, Wu, Jiasheng, Dong, Jiawei, Wang, Fang, Zhao, Hongtao, Liu, Zhihui, Yan, Xiuwei, Li, Bo, Du, Jianyang, Zhang, Jiheng, Hu, Shaoshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Molecular Biosciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459009/
https://www.ncbi.nlm.nih.gov/pubmed/36090045
http://dx.doi.org/10.3389/fmolb.2022.942966

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459009/
https://www.ncbi.nlm.nih.gov/pubmed/36090045
http://dx.doi.org/10.3389/fmolb.2022.942966

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