LI Juan, MA Li, ZHANG Xiao-qing, TONG Ye, LI Yu-yun. Construction of a prognostic model associated with RUNX1 mutations for acute myeloid leukemia[J]. Journal of Bengbu Medical University, 2021, 46(6): 713-717. DOI: 10.13898/j.cnki.issn.1000-2200.2021.06.003
    Citation: LI Juan, MA Li, ZHANG Xiao-qing, TONG Ye, LI Yu-yun. Construction of a prognostic model associated with RUNX1 mutations for acute myeloid leukemia[J]. Journal of Bengbu Medical University, 2021, 46(6): 713-717. DOI: 10.13898/j.cnki.issn.1000-2200.2021.06.003

    Construction of a prognostic model associated with RUNX1 mutations for acute myeloid leukemia

    • ObjectiveTo identify the differentially expressed genes in RUNX1 mutant acute myeloid leukemia(AML) and non-mutant AML and construct a prognostic model derived from RUNX1 mutations.
      MethodsDifferentially expressed genes in AML were screened from the RUNX1 mutated AML group and non-mutated AML group by univariate Cox, and a multivariate Cox regression prognostic model was constructed.The risk score of the patients was obtained according to the model, which was evaluated by the survival curve and the ROC curve.
      ResultsA total of 89 differentially expressed genes were screened from the RUNX1 mutant and non-mutant groups, 30 of which were up-regulated and 59 of which were down-regulated.All the differentially expressed genes were screened by univariate Cox regression, and 38 genes were obtained to construct multivariate Cox regression model.Based on the bidirectional stepwise regression method, 10 genes including BIK, APP, MLLT3, C10orf10, PLXNC1, FHL1, CST3, TGLL1, HOXA5 and KIAAO125 were further screened to construct the prognostic gene model.The 10 genes were used to construct a prognostic gene model, and the risk scoring formula was as follows.Risk score=-0.100×(BIK)+ 0.215×(APP)+ -0.232×(MLLT3)+ 0.112×(C10orf10)+ 0.160×(PLXNC1)+ 0.113×(FHL1)+ -0.167×(CST3)+ -0.152×(IGLL1)+ 0.164×(HOXA5)+ 0.084×(KIAA0125).The risk scores of BIK, MLLT3, CST3 and IGLL1 were less than 1, while the risk scores of the other six genes were greater than 1.Survival analysis of the high and low risk rating groups showed that the overall survival rate of high risk rating group was significantly lower than that of low risk rating group(P < 0.01).The AUC predicted by ROC curve for overall survival in 1, 3 and 5 years were 0.709, 0.769 and 0.771, respectively.
      ConclusionsThe prognostic model of mutant AML differentially genes was successfully constructed.The BIK, MLLT3 CST3 and IGLL1 may be the prognostic protective factors for AML.APP, C10orf10, PLXNC1, FHL1, HOXA5 and KIAAO125 may be the risk factors for prognosis of AML.
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