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Correlation between JAK1/2 expression and immune-related genes and JAK2 gene variants: A pan-cancer analysis

Authors :
Haozhe Huang
Zhenghua Zhang
Ding Zhang
Chao Chen
Guoqiang Wang
Lichao Xu
Ying Wang
Source :
Journal of Clinical Oncology. 38:e15057-e15057
Publication Year :
2020
Publisher :
American Society of Clinical Oncology (ASCO), 2020.

Abstract

e15057 Background: Loss of function mutations for Janus kinases 1/2 (JAK1/2) have shown to be the underling mechanism of primary resistance to immune checkpoint inhibitors (ICIs). However, the correlation between JAK1/2 expression and immune-related genes have not been studied. Methods: Survival, mRNA expression and whole-exome sequencing data from 32 pan-cancer atlas studies were obtained from The Cancer Genome Atlas (TCGA). Correlations between JAK1/2 expression and immune-related genes were depicted in heatmaps. We also analyzed the association between JAK2 gene variants and JAK2 expression. Results: In total, 10071 samples with mRNA expression data were included for analysis. Expression of 46 immune-related genes were positively correlated with JAK2 expression in 25 tumors instead of JAK1 expression. Patients with higher expression of JAK2 had better prognosis than patients with lower expression of JAK2 in 13 tumors. Among 10071 patients, 363 (3.60%) patients harbored JAK2 variants, including 8 with frame shift mutations, 44 with nonsense mutations, 142 with missense mutations, 11 with splices, 8 with fusions, 90 with copy-number reduction and 116 with copy-number amplification. There was no difference in JAK2 expression between patients with JAK2 variants and those without JAK2 variants. However, JAK2 fusion (2.20%, 8/363) and amplification (31.96%, 116/363) were associated with higher JAK2 expression. Conclusions: Our pan-cancer analysis found that JAK2 expression was correlated with immune-related genes and the prognosis of cancer patients. JAK2 fusion and amplification increased the expression of JAK2. Altogether, patients with high JAK2 expression may benefit from ICIs.

Details

ISSN :
15277755 and 0732183X
Volume :
38
Database :
OpenAIRE
Journal :
Journal of Clinical Oncology
Accession number :
edsair.doi...........8891573a24dfaa9fadf862cf70cbed12
Full Text :
https://doi.org/10.1200/jco.2020.38.15_suppl.e15057