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. 2021 Feb 12;19(1):65.
doi: 10.1186/s12967-021-02733-5.

The role of ARHGAP9: clinical implication and potential function in acute myeloid leukemia

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The role of ARHGAP9: clinical implication and potential function in acute myeloid leukemia

Caixia Han et al. J Transl Med. .

Abstract

Background: Rho GTPase activating protein 9 (ARHGAP9) is expressed in various types of cancers and can inactivate Rho GTPases that mainly regulate cytoskeletal dynamics. However, the exact role of ARHGAP9 in acute myeloid leukemia (AML) has yet to be clarified.

Methods: We compared the transcriptional expression, prognosis, differentially expressed genes, functional enrichment, and hub genes in AML patients on the basis of the data published in the following databases: UALCAN, GEPIA, Gene Expression Omnibus, the Human Protein Atlas, Cancer Cell Line Encyclopedia, LinkedOmics, Metascape, and String. Data from the Cancer Genome Atlas database was used to evaluate the correlations between ARHGAP9 expression and various clinicopathological parameters, as well as the significantly different genes associated with ARHGAP9 expression.

Results: We found that ARHGAP9 expression was higher in the tissues and cell lines extracted from patients with AML than corresponding control tissues and other cancer types. ARHGAP9 overexpression was associated with decreased overall survival (OS) in AML. Compared with the ARHGAP9low group, the ARHGAP9high group, which received only chemotherapy, showed significantly worse OS and event-free survival (EFS); however, no significant difference was observed after treatment with autologous or allogeneic hematopoietic stem cell transplantation (auto/allo-HSCT). The ARHGAP9high patients undergoing auto/allo-HSCT also had a significantly better prognosis with respect to OS and EFS than those receiving only chemotherapy. Most overlapping genes of the significantly different genes and co-expression genes exhibited enriched immune functions, suggesting the immune regulation potential of ARHGAP9 in AML. A total of 32 hub genes were identified from the differentially expressed genes, within which the KIF20A had a significant prognostic value for AML.

Conclusions: ARHGAP9 overexpression was associated with poor OS in AML patients and can be used as a prognostic biomarker. AML patients with ARHGAP9 overexpression can benefit from auto/allo-HSCT rather than chemotherapy.

Keywords: AML; ARHGAP9; Auto/allo-HSCT; Chemotherapy; Prognosis; t(15;17).

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
ARHGAP9 expression in cell lines. a ARHGAP9 expression in leukemia cell lines, analyzed by HPA. b The expression of ARHGAP9 in leukemia Cell Lines, analyzed by CCLE
Fig. 2
Fig. 2
ARHGAP9 expression in AML. a ARHGAP9 expression in pan-cancer, analyzed by UALCAN. b ARHGAP9 expression in various cancer tissues and normal tissues analyzed by GEPIA; The height of the bar represents the median expression of a certain tumor type or normal tissue. c ARHGAP9 expression in AML and normal tissues analyzed by GEPIA. d and e ARHGAP9 expression in AML with various chromosomal abnormalities in the microarray data of GSE14468 and GSE13159 from the GEO database, respectively
Fig. 3
Fig. 3
Effect of ARHGAP9 on the survival of AML patients. a Prognostic value of ARHGAP9 mRNA level in AML, analyzed by GEPIA. b Prognostic value of ARHGAP9 mRNA level in AML, analyzed by LinkedOmics. c Survival curves of EFS in AML patients from the TCGA cohort
Fig. 4
Fig. 4
Prognostic values of ARHGAP9 with different factors on the survival of AML patients from the TCGA cohort. a OS and b EFS in CN-AML. c OS and d EFS of patients undergoing chemotherapy. e OS and f EFS of patients treated with auto/allo-HSCT. g OS and h EFS of patients in the ARHGAP9high group
Fig. 5
Fig. 5
Genome-wide genes associated with ARHGAP9 expression. a Volcano plot of different gene-expression profiles between the ARHGAP9low and ARHGAP9high groups. b Volcano plots for the analysis of the co-expression genes associated with ARHGAP9 expression (LinkedOmics). c Overlapping genes between positively correlated genes and significantly increased genes. d Overlapping genes between negatively correlated genes and significantly reduced genes
Fig. 6
Fig. 6
Enrichment of functions and signaling pathways of the overlapping genes in AML. a Analysis of GO and KEGG pathway associated with ARHGAP9 expression. b Enrichment of differentially expressed genes in tissues and cells. c Enrichment of overlapping genes in diseases
Fig. 7
Fig. 7
PPI network of the overlapping genes. a Network view of PPI for the overlapping genes. b MCODE analysis of the most significant interactions from a (MCODE score = 29.806); c Prognostic value of hub genes in AML, analyzed by GEPIA. d KIF20A expression in AML patients and healthy tissues, analyzed by GEPIA

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