Abstract | BACKGROUND: METHODS: The omics data of G-/ GM-CSF and receptors were obtained from the cBioportal database. Cutoff values were determined by X-tile. Overall survival (OS) was assessed by Kaplan-Meier curves. Differentially expressed genes (DEGs) and common regulated genes were analyzed using R software and Venny 2.1.0, while enrichment pathway analyses were performed by Metascape. RESULTS: A comprehensive mRNA analysis was performed in 8,565 patients across 24 cancer types. The combination subgroup of CSF2 and its receptors with high expression and favorable prognosis was associated with the activation of immune-related pathways, while the subgroup with unfavorable prognosis was associated with the activation of inflammatory and cellular pathways. As for the combination subgroup of CSF3 and its receptor, the high expression and poor prognosis subgroup was accompanied by the activation of inflammation and signaling transduction pathways. CONCLUSIONS: The prognostic value of CSFs and CSFRs are cancer-type dependent. Therefore, personalized risk stratification based on CSF and CSFR pathway should be considered for cancer patients.
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Authors | Xinyi Huang, Pingping Hu, Jiandong Zhang |
Journal | Annals of translational medicine
(Ann Transl Med)
Vol. 8
Issue 16
Pg. 994
(Aug 2020)
ISSN: 2305-5839 [Print] China |
PMID | 32953794
(Publication Type: Journal Article)
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Copyright | 2020 Annals of Translational Medicine. All rights reserved. |