Integrated bioinformatics analysis and experimental validation identified CDCA families as prognosti...
Integrated bioinformatics analysis and experimental validation identified CDCA families as prognostic biomarkers and sensitive indicators for rapamycin treatment of glioma
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Author / Creator
Li, Ren , Chen, Yang , Yang, Biao , Li, Ziao , Wang, Shule , He, Jianhang , Zhou, Zihan , Li, Xuepeng , Li, Jiayu , Sun, Yanqi , Guo, Xiaolong , Wang, Xiaogang , Wu, Yongqiang , Zhang, Wenju and Guo, Geng
Publisher
United States: Public Library of Science
Journal title
Language
English
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Publisher
United States: Public Library of Science
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Contents
The cell division cycle associated (CDCA) genes regulate the cell cycle; however, their relationship with prognosis in glioma has been poorly reported in the literature. The Cancer Genome Atlas (TCGA) was utilized to probe the CDCA family in relation to the adverse clinical features of glioma. Glioma single-cell atlas reveals specific expression of...
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Full title
Integrated bioinformatics analysis and experimental validation identified CDCA families as prognostic biomarkers and sensitive indicators for rapamycin treatment of glioma
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TN_cdi_plos_journals_3069214013
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3069214013
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0295346
