Research Paper Volume 16, Issue 16 pp 11939—11954

Figure 4. Identification of AML subtypes. (A) Based on one-way Cox regression analysis, the TMBRGs were screened, and p<0.01 was used as the threshold to filter out the prognosis-related TMBRGs. The results are shown in the form of forest plots. (B) To explore the correlation between the different genes, the correlation of prognosis-related genes was evaluated. (C, D) The K-means clustering algorithm was used to classify the patients into different clusters resulting in the C1 and C2 clusters. (E) Survival analysis showing that the prognosis of patients in the C2 group was significantly better than that of patients in the C1 group (p<0.001). (F, G) Tumor microenvironment analysis of the LAML cohort using the ESTIMATE algorithm and further exploration of the differences in the tumor microenvironments of the patients in clusters C1 and C2. (H) The use of the MCP-counter algorithm to further quantify the absolute abundance of 8 immune cells and 2 stromal cells in the 2 subgroups after the ESTIMATE calculation of tumor stromal and immune components was performed. These cells included T cells, CD8+ T cells, cytotoxic lymphocytes, B lineage cells, NK cells, monocytic lineage cells, myeloid lineage cells, and NK cells, as well as the absolute abundance of the tumor stromal and immune components in the 2 subgroups. Monocytic lineage cells, myeloid dendritic cells, neutrophils, endothelial cells, and fibroblasts.