Exploration of cuprotosis-related genes for predicting prognosis and immunological characteristics in acute myeloid leukaemia based on genome and transcriptome.

BACKGROUND: Acute myeloid leukemia (AML) is a common hematologic malignancy with a generally unfavorable prognosis. Cuprotosis as a new form of programmed cell death has been shown to play an important role in tumorigenesis and progression; However, the relationship between cuprotosis and the prognosis of AML patients remains unclear. METHODS: Transcriptomic and genomics data, along with clinical information, were obtained from the TCGA and GEO databases. Especially, unsupervised clustering and machining learning were used to identify molecular subtypes and cuprotosis-related risk scores respectively. Kaplan-Meier analysis, univariate and multivariate Cox regression, and Receiver Operator Characteristic curve (ROC) were performed to assess the prognosis based on cuprotosis-related genes (CRGs). Moreover, multiple algorithms were used to evaluate immunological heterogeneity among patients with different risk scores. For in vitro analysis, the expression of genes involved in CRGs was detected by Quantitative Reverse Transcription Polymerase (qRT-PCR) in AML patients. RESULTS: Transcriptomic and genome data indicated the immense heterogeneity in the CRGs landscape of normal and tumor samples. Cuprotosis subtype A and cuprotosis regulatory subtype B in the genomics map and biological characteristics were significantly different from the other groups. Furthermore, these two subtypes had lower risk scores and longer survival times compared to other groups. Cox analyses indicated that risk score was an independent prognostic factor for AML patients. In addition, our risk score could be an indicator of survival outcomes in immunotherapy datasets. CONCLUSIONS: Our study demonstrates the potential of CRGs in guiding the prognosis, treatment, and immunological characteristics of AML patients.

Thromboelastography in guiding preventive platelet transfusion in patients with haematologic diseases.

OBJECTIVE: This study analysed the relationships between the main thromboelastography (TEG) parameters, the platelet (PLT) count and clinical bleeding in patients with blood diseases. We explored the threshold of the relevant parameters in the pathological condition of bleeding, aiming to scientifically guide clinical prophylactic PLT transfusion. METHODS: In total, 268 patients with clear diagnoses of blood diseases and thrombocytopenia were enrolled and divided into five groups, A, B, C, D and E, corresponding to PLT counts of 0-10 × 109 /L, 11-20 × 109 /L, 21-30 × 109 /L, 31-50 × 109 /L and 51-100 × 109 /L, respectively. TEG and routine blood testing were performed simultaneously, the main TEG parameters and the PLT count were analysed, and the thresholds of the main TEG parameters in each group when the patient had bleeding were obtained. RESULTS: The maximum amplitude (MA) in groups A, B and C increased gradually, with a significant difference between each pair of these groups (P < 0.05). In groups A, B, C, D and E, the corresponding MA at the time of bleeding was 43.5 mm, 39.6 mm, 38.0 mm, 35.2 mm and 50.5 mm, respectively, with statistically significant differences (P < 0.05). CONCLUSIONS: The MA can be used as a reference indicator for preventive PLT transfusion to a certain extent. When the PLT count is within different ranges, the MA threshold for preventive PLT transfusion also differs. It is recommended that different PLT counts be correlated with different MA thresholds to guide clinical prophylactic PLT transfusion.