目的观察急性白血病( AL)患者骨髓形态特征,分析 AL 患者骨髓细胞与 K562 细胞系中 Plk-1 的表达特征。方法选取在本院接受治疗的急性髓细胞白血病患者( AML)和急性淋巴细胞白血病患者( ALL),通过穿刺法观察骨髓细胞学形态特征;K562 传...目的观察急性白血病( AL)患者骨髓形态特征,分析 AL 患者骨髓细胞与 K562 细胞系中 Plk-1 的表达特征。方法选取在本院接受治疗的急性髓细胞白血病患者( AML)和急性淋巴细胞白血病患者( ALL),通过穿刺法观察骨髓细胞学形态特征;K562 传代细胞与 AL 骨髓细胞标本进行 PCR扩增及 Western Blot 表达鉴定。结果 ALL 与 AML 骨髓细胞均呈现类圆形或不规则形,细胞核呈圆形或类圆形;ALL 骨髓细胞相对 AML 较小,胞浆少,无明显颗粒及核仁, AML 胞浆丰富,有明显颗粒及核仁;AL 患者骨髓细胞组与 K562 细胞系的组间表达丰度值没有明显差异;有 AL 家族史、红细胞和血小板计数下降、血尿酸水平上升、没有 AL 用药史的患者 Plk-1 表达显著升高。结论 AL 骨髓细胞形态特征符合肿瘤恶转的特点,Plk-1 mRNA 在 AL 患者中发生了特异性表达。展开更多
Invasive breast carcinoma(BRCA)is associated with poor prognosis and high risk of mortality.Therefore,it is critical to identify novel biomarkers for the prognostic assessment of BRCA.Methods:The expression data of po...Invasive breast carcinoma(BRCA)is associated with poor prognosis and high risk of mortality.Therefore,it is critical to identify novel biomarkers for the prognostic assessment of BRCA.Methods:The expression data of polo-like kinase 1(PLK1)in BRCA and the corresponding clinical information were extracted from TCGA and GEO databases.PLK1 expression was validated in diverse breast cancer cell lines by quantitative real-time polymerase chain reaction(qRT-PCR)and western blotting.Single sample gene set enrichment analysis(ssGSEA)was performed to evaluate immune infiltration in the BRCA microenvironment,and the random forest(RF)and support vector machine(SVM)algorithms were used to screen for the hub infiltrating cells and calculate the immunophenoscore(IPS).The RF algorithm and COX regression model were applied to calculate survival risk scores based on the PLK1 expression and immune cell infiltration.Finally,a prognostic nomogram was constructed with the risk score and pathological stage,and its clinical potential was evaluated by plotting calibration charts and DCA curves.The application of the nomogram was further validated in an immunotherapy cohort.Results:PLK1 expression was significantly higher in the tumor samples in TCGA-BRCA cohort.Furthermore,PLK1 expression level,age and stage were identified as independent prognostic factors of BRCA.While the IPS was unaffected by PLK1 expression,the TMB and MATH scores were higher in the PLK1-high group,and the TIDE scores were higher for the PLK1-low patients.We also identified 6 immune cell types with high infiltration,along with 11 immune cell types with low infiltration in the PLK1-high tumors.A risk score was devised using PLK1 expression and hub immune cells,which predicted the prognosis of BRCA patients.In addition,a nomogram was constructed based on the risk score and pathological staging,and showed good predictive performance.Conclusions:PLK1 expression and immune cell infiltration can predict post-immunotherapy prognosis of BRCA patients.展开更多
文摘目的观察急性白血病( AL)患者骨髓形态特征,分析 AL 患者骨髓细胞与 K562 细胞系中 Plk-1 的表达特征。方法选取在本院接受治疗的急性髓细胞白血病患者( AML)和急性淋巴细胞白血病患者( ALL),通过穿刺法观察骨髓细胞学形态特征;K562 传代细胞与 AL 骨髓细胞标本进行 PCR扩增及 Western Blot 表达鉴定。结果 ALL 与 AML 骨髓细胞均呈现类圆形或不规则形,细胞核呈圆形或类圆形;ALL 骨髓细胞相对 AML 较小,胞浆少,无明显颗粒及核仁, AML 胞浆丰富,有明显颗粒及核仁;AL 患者骨髓细胞组与 K562 细胞系的组间表达丰度值没有明显差异;有 AL 家族史、红细胞和血小板计数下降、血尿酸水平上升、没有 AL 用药史的患者 Plk-1 表达显著升高。结论 AL 骨髓细胞形态特征符合肿瘤恶转的特点,Plk-1 mRNA 在 AL 患者中发生了特异性表达。
基金funded by the Natural Science Foundation of Higher Education Institutions of Auhui Province(Grant No.KJ2021A0352)the Research Fund Project of Anhui Medical University(Grant No.2020xkj236)Applied Medicine Research Project of Hefei Health Commission(Grant No.HWKJ2019-172-14).
文摘Invasive breast carcinoma(BRCA)is associated with poor prognosis and high risk of mortality.Therefore,it is critical to identify novel biomarkers for the prognostic assessment of BRCA.Methods:The expression data of polo-like kinase 1(PLK1)in BRCA and the corresponding clinical information were extracted from TCGA and GEO databases.PLK1 expression was validated in diverse breast cancer cell lines by quantitative real-time polymerase chain reaction(qRT-PCR)and western blotting.Single sample gene set enrichment analysis(ssGSEA)was performed to evaluate immune infiltration in the BRCA microenvironment,and the random forest(RF)and support vector machine(SVM)algorithms were used to screen for the hub infiltrating cells and calculate the immunophenoscore(IPS).The RF algorithm and COX regression model were applied to calculate survival risk scores based on the PLK1 expression and immune cell infiltration.Finally,a prognostic nomogram was constructed with the risk score and pathological stage,and its clinical potential was evaluated by plotting calibration charts and DCA curves.The application of the nomogram was further validated in an immunotherapy cohort.Results:PLK1 expression was significantly higher in the tumor samples in TCGA-BRCA cohort.Furthermore,PLK1 expression level,age and stage were identified as independent prognostic factors of BRCA.While the IPS was unaffected by PLK1 expression,the TMB and MATH scores were higher in the PLK1-high group,and the TIDE scores were higher for the PLK1-low patients.We also identified 6 immune cell types with high infiltration,along with 11 immune cell types with low infiltration in the PLK1-high tumors.A risk score was devised using PLK1 expression and hub immune cells,which predicted the prognosis of BRCA patients.In addition,a nomogram was constructed based on the risk score and pathological staging,and showed good predictive performance.Conclusions:PLK1 expression and immune cell infiltration can predict post-immunotherapy prognosis of BRCA patients.
