Identification of cell surface markers for acute myeloid leukemia prognosis based on multi-model analysis

Given the extremely high inter-patient heterogeneity of acute myeloid leukemia(AML),the identification of biomarkers for prognostic assessment and therapeutic guidance is critical.Cell surface markers(CSMs)have been shown to play an important role in AML leukemogenesis and progression.In the current study,we evaluated the prognostic potential of all human CSMs in 130 AML patients from The Cancer Genome Atlas(TCGA)based on differential gene expression analysis and univariable Cox proportional hazards regression analysis.By using multi-model analysis,including Adaptive LASSO regression,LASSO regression,and Elastic Net,we constructed a 9-CSMs prognostic model for risk stratification of the AML patients.The predictive value of the 9-CSMs risk score was further validated at the transcriptome and proteome levels.Multivariable Cox regression analysis showed that the risk score was an independent prognostic factor for the AML patients.The AML patients with high 9-CSMs risk scores had a shorter overall and event-free survival time than those with low scores.Notably,single-cell RNA-sequencing analysis indicated that patients with high 9-CSMs risk scores exhibited chemotherapy resistance.Furthermore,PI3K inhibitors were identified as potential treatments for these high-risk patients.In conclusion,we constructed a 9-CSMs prognostic model that served as an independent prognostic factor for the survival of AML patients and held the potential for guiding drug therapy.

Incidence and Survivability of Acute Lymphocytic Leukemia Patients in the United States: Analysis of SEER Data Set from 2000-2019

The main goal of this research is to assess the impact of race, age at diagnosis, sex, and phenotype on the incidence and survivability of acute lymphocytic leukemia (ALL) among patients in the United States. By taking these factors into account, the study aims to explore how existing cancer registry data can aid in the early detection and effective treatment of ALL in patients. Our hypothesis was that statistically significant correlations exist between race, age at which patients were diagnosed, sex, and phenotype of the ALL patients, and their rate of incidence and survivability data were evaluated using SEER*Stat statistical software from National Cancer Institute. Analysis of the incidence data revealed that a higher prevalence of ALL was among the Caucasian population. The majority of ALL cases (59%) occurred in patients aged between 0 to 19 years at the time of diagnosis, and 56% of the affected individuals were male. The B-cell phenotype was predominantly associated with ALL cases (73%). When analyzing survivability data, it was observed that the 5-year survival rates slightly exceeded the 10-year survival rates for the respective demographics. Survivability rates of African Americans patients were the lowest compared to Caucasian, Asian, Pacific Islanders, Alaskan Native, Native Americans and others. Survivability rates progressively decreased for older patients. Moreover, this study investigated the typical treatment methods applied to ALL patients, mainly comprising chemotherapy, with occasional supplementation of radiation therapy as required. The study demonstrated the considerable efficacy of chemotherapy in enhancing patients’ chances of survival, while those who remained untreated faced a less favorable prognosis from the disease. Although a significant amount of data and information exists, this study can help doctors in the future by diagnosing patients with certain characteristics. It will further assist the health care professionals in screening potential patients and early detection of cases. This could also save the lives of elderly patients who have a higher mortality rate from this disease.

Circ_0012152 Accelerates Acute Myeloid Leukemia Progression through the miR-652-3p/SOX4 Axis

Objective Acute myeloid leukemia(AML)is an aggressive hematological malignancy characterized by abnormal myeloid blast expansion.Recent studies have demonstrated that circular RNAs play a role in AML pathogenesis.In this study,we aimed to investigate the clinical significance of circ_0012152 in AML and elucidate its underlying molecular mechanism in the pathogenesis of this condition.Methods Circ_0012152 expression was detected by quantitative real-time polymerase chain reaction in samples obtained from 247 patients with AML and 40 healthy controls.A systematic analysis of clinical characteristics and prognostic factors was also conducted.Cell growth was assessed using the Cell Counting Kit-8(CCK-8)assay,and apoptosis and cell cycle progression were evaluated by flow cytometry.Moreover,RNA pull-down was performed to identify target microRNAs,and transcriptome RNA sequencing and bioinformatics analyses were utilized to identify downstream mRNA targets.Results Circ_0012152 was significantly upregulated in samples from patients with AML and served as an independent adverse prognostic factor for overall survival(OS)(hazard ratio:2.357;95%confidence interval 1.258–4.415).The circ_0012152 knockdown reduced cell growth,increased apoptosis,and inhibited cell cycle progression in AML cell lines.RNA pull-down and sequencing identified miR-652-3p as a target microRNA of circ_0012152.Cell growth inhibition by circ_0012152 knockdown was significantly relieved by miR-652-3p inhibitors.We suggested that miR-652-3p targeted SOX4,as the decrease in SOX4 expression resulting from circ_0012152 knockdown was upregulated by miR-652-3p inhibitors in AML cells.Conclusion Circ_0012152 is an independent poor prognostic factor for OS in AML,and it promotes AML cell growth by upregulating SOX4 through miR-652-3p.

Bone marrow microRNA-34a is a good indicator for response to treatment in acute myeloid leukemia

Background:microRNA 34a(miR 34a)had been reported to have a diagnostic role in acute myeloid leukemia(AML).However,its value in the bone marrow(BM)of AML patients,in addition to its role in response to therapy is still unclear.The current study was designed to assess the diagnostic,prognostic,and predictive significance of miR 34a in the BM of AML patients.Methods:The miR.34a was assed in BM aspirate of 82 AML patients in relation to 12 normal control subjects using qRT-PCR.The data were assessed for correlation with the relevant dinical critenia,response to therapy,disease-free survival(DFS),and overall survival(OS)rates.Results:miR.34a was significantly downregulated in AML patients[0.005(3.3×10^(-6)-1.32)],compared to the control subjects[0.108(3.2× 10^(-4)-1.64),p=0.021].The.median relative quantification(RQ)of miR-34a was 0.106(range;0-32.12).The specifaity,sensitivity,and area under the curve(AUC)for the diagnosis of AML were(58.3%,69.5%,0.707,respectively,p=0.021).patients with upregulated miR-34a showed decreased platelets count<34.5 × 10^(9)/L,and achieved early complete remission(CR,p=0.031,p=0.044,respectively).Similarly,patients who were refractory to therapy showed decreased miR 34a levels in comparison to those who achieved CR[0.002(0-0.01)and 0.12(0-32.12),respectively,p=0.002].Therefore,miR 34a could significantly identify patients with CR with a specificity of 75%and sensitivity of 100%at a cut-off of 0.014(AUC=0.927,p=0.005).There was no considerable association between miR-34a expression and survival rates of the induded AML patients.Condusion:miR-34a could be a beneficial diagnostic biomarker for AML patients.In addition,it serves as a good indicator for response to therapy,which could possibly identify patients who are refractory to treatment with 100%sensitivity and 75%specificity.

A New Method for Diagnosis of Leukemia Utilizing a Hybrid DL-ML Approach for Binary and Multi-Class Classification on a Limited-Sized Database

Infection of leukemia in humans causes many complications in its later stages.It impairs bone marrow’s ability to produce blood.Morphological diagnosis of human blood cells is a well-known and well-proven technique for diagnosis in this case.The binary classification is employed to distinguish between normal and leukemiainfected cells.In addition,various subtypes of leukemia require different treatments.These sub-classes must also be detected to obtain an accurate diagnosis of the type of leukemia.This entails using multi-class classification to determine the leukemia subtype.This is usually done using a microscopic examination of these blood cells.Due to the requirement of a trained pathologist,the decision process is critical,which leads to the development of an automated software framework for diagnosis.Researchers utilized state-of-the-art machine learning approaches,such as Support Vector Machine(SVM),Random Forest(RF),Na飗e Bayes,K-Nearest Neighbor(KNN),and others,to provide limited accuracies of classification.More advanced deep-learning methods are also utilized.Due to constrained dataset sizes,these approaches result in over-fitting,reducing their outstanding performances.This study introduces a deep learning-machine learning combined approach for leukemia diagnosis.It uses deep transfer learning frameworks to extract and classify features using state-of-the-artmachine learning classifiers.The transfer learning frameworks such as VGGNet,Xception,InceptionResV2,Densenet,and ResNet are employed as feature extractors.The extracted features are given to RF and XGBoost classifiers for the binary and multi-class classification of leukemia cells.For the experimentation,a very popular ALL-IDB dataset is used,approaching a maximum accuracy of 100%.A private real images dataset with three subclasses of leukemia images,including Acute Myloid Leukemia(AML),Chronic Lymphocytic Leukemia(CLL),and Chronic Myloid Leukemia(CML),is also employed to generalize the system.This dataset achieves an impressive multi-class classification accuracy of 97.08%.The proposed approach is robust and generalized by a standardized dataset and the real image dataset with a limited sample size(520 images).Hence,this method can be explored further for leukemia diagnosis having a limited number of dataset samples.

Non-canonical BRAF variants and rearrangements in hairy cell leukemia

Hairy cell leukemia(HCL)is an uncommon mature B-cell malignancy characterized by a typical morphology,immunophenotype,and clinical profile.The vast majority of HCL patients harbor the canonical BRAF V600E mutation which has become a rationalized target of the subsequently deregulated RAS-RAF-MEK-MAPK signaling pathway in HCL patients who have relapsed or who are refractory to front-line therapy.However,several HCL patients with a classical phenotype display non-canonical BRAF mutations or rearrangements.These include sequence variants within alternative exons and an oncogenic fusion with the IGH gene.Care must be taken in the molecular diagnostic work-up of patients with typical HCL but without the BRAF V600E to include investigation of these uncommon mechanisms.Identification,functional characterization,and reporting of further such patients is likely to provide insights into the pathogenesis of HCL and enable rational selection of targeted inhibitors in such patients if required.

Marine Predators Algorithm with Deep Learning-Based Leukemia Cancer Classification on Medical Images

In blood or bone marrow,leukemia is a form of cancer.A person with leukemia has an expansion of white blood cells(WBCs).It primarily affects children and rarely affects adults.Treatment depends on the type of leukemia and the extent to which cancer has established throughout the body.Identifying leukemia in the initial stage is vital to providing timely patient care.Medical image-analysis-related approaches grant safer,quicker,and less costly solutions while ignoring the difficulties of these invasive processes.It can be simple to generalize Computer vision(CV)-based and image-processing techniques and eradicate human error.Many researchers have implemented computer-aided diagnosticmethods andmachine learning(ML)for laboratory image analysis,hopefully overcoming the limitations of late leukemia detection and determining its subgroups.This study establishes a Marine Predators Algorithm with Deep Learning Leukemia Cancer Classification(MPADL-LCC)algorithm onMedical Images.The projectedMPADL-LCC system uses a bilateral filtering(BF)technique to pre-process medical images.The MPADL-LCC system uses Faster SqueezeNet withMarine Predators Algorithm(MPA)as a hyperparameter optimizer for feature extraction.Lastly,the denoising autoencoder(DAE)methodology can be executed to accurately detect and classify leukemia cancer.The hyperparameter tuning process using MPA helps enhance leukemia cancer classification performance.Simulation results are compared with other recent approaches concerning various measurements and the MPADL-LCC algorithm exhibits the best results over other recent approaches.

Novel PIKfyve/Tubulin Dual-target Inhibitor as a Promising Therapeutic Strategy for B-cell Acute Lymphoblastic Leukemia

Objective:In B-cell acute lymphoblastic leukemia(B-ALL),current intensive chemotherapies for adult patients fail to achieve durable responses in more than 50%of cases,underscoring the urgent need for new therapeutic regimens for this patient population.The present study aimed to determine whether HZX-02-059,a novel dual-target inhibitor targeting both phosphatidylinositol-3-phosphate 5-kinase(PIKfyve)and tubulin,is lethal to B-ALL cells and is a potential therapeutic for B-ALL patients.Methods:Cell proliferation,vacuolization,apoptosis,cell cycle,and in-vivo tumor growth were evaluated.In addition,Genome-wide RNA-sequencing studies were conducted to elucidate the mechanisms of action underlying the anti-leukemia activity of HZX-02-059 in B-ALL.Results:HZX-02-059 was found to inhibit cell proliferation,induce vacuolization,promote apoptosis,block the cell cycle,and reduce in-vivo tumor growth.Downregulation of the p53 pathway and suppression of the phosphoinositide 3-kinase(PI3K)/AKT pathway and the downstream transcription factors c-Myc and NF-κB were responsible for these observations.Conclusion:Overall,these findings suggest that HZX-02-059 is a promising agent for the treatment of B-ALL patients resistant to conventional therapies.

Quality-adjusted time without symptoms or toxicity analysis of haploidentical-related donor vs.identical sibling donor hematopoietic stem cell transplantation in acute myeloid leukemia

Objective:We aimed to compare the quality-adjusted time without symptoms or toxicity(Q-TWiST)in acute myeloid leukemia(AML)patients who received haploidentical-related donor(HID)and identical sibling donor(ISD)hematopoietic stem cell transplantation(HSCT).Methods:Five clinical health states were defined:toxicity(TOX),acute graft-versus-host disease(GVHD),chronic GVHD(cGVHD),time without symptoms and toxicity(TWiST)and relapse(REL).The equation used in this study was as follows:Q-TWiST=UTOX×TOX+UTWiST×TWiST+UREL×REL+UaGVHD×aGVHD+UcGVHD×cGVHD.Results:A total of 239 AML patients were enrolled.We established a mathematical model,i.e.,Q-TWiST HID HSCT>Q-TWiST ISD HSCT,to explore the range of utility coefficients satisfying the inequality.Based on the raw data,the utility coefficient is equivalent to the following inequality:10.57067UTOX-46.27733UREL+105.9374+3.388078UaGVHD-210.8198UcGVHD>0.The model showed that when UTOX,UREL,and UaGVHD were within the range of 0-1,as well as when UcGVHD was within the range of 0-0.569,the inequality Q-TWiST HID HSCT>Q-TWiST ISD HSCT was valid.According to the results of the ChiCTR1800016972 study,the median coefficients of TOX,acute GVHD(aGVHD),and cGVHD were 0.56(0.41-0.76),0.56(0.47-0.72),and 0.54(0.37-0.79),respectively.We selected a series of specific examples of the coefficients,i.e.,UTOX=0.5,UREL=0.05,UaGVHD-0.5,and UcGVHD-0.5.The Q-TWiST values of ISD and HID HSCT were 896 and 900 d,respectively(P=0.470).Conclusions:We first observed that Q-TWiST was comparable between AML patients receiving HID HSCT and those receiving ISD HSCT.

Transforming growth factor-β1 and vascular endothelial growth factor levels in senile acute myeloid leukemia and correlation with prognosis

BACKGROUND Acute myeloid leukemia(AML)is a disease in which immature hematopoietic cells accumulate in the bone marrow and continuously expand,inhibiting hematopoiesis.The treatment and prognosis of this disease have always been unsatisfactory.AIM To investigate the correlation between vascular endothelial growth factor(VEGF)and transforming growth factor-β1(TGFβ1)expression and prognosis in older adults with AML.METHODS This study enrolled 80 patients with AML(AML group),including 36 with complete response(AML-CR),23 with partial response(AML-PR),and 21 with no response(AML-NR).The expression levels of VEGF and TGFβ1 were detected by reverse transcription polymerase chain reaction in bone marrow mononuclear cells isolated from 56 healthy controls.Kaplan-Meier analysis was performed to assess overall survival(OS)and progression-or disease-free survival(DFS).Prognostic risk factors were analyzed using a Cox proportional hazards model.RESULTS The AML group showed a VEGF level of 2.68±0.16.VEGF expression was lower in patients with AML-CR than those with AML-PR or AML-NR(P<0.05).TGFβ1 expression in the AML group was 0.33±0.05.Patients with AML-CR showed a higher TGFβ1 expression than those with AML-PR or AML-NR(P<0.05).VEGF and TGFβ1 expression in patients with AML was significantly correlated with the counts of leukocytes,platelets,hemoglobin,and peripheral blood immature cells(P<0.05);Kaplan-Meier survival analysis revealed that patients with high TGFβ1 expression had better OS and DFS than those with low TGFβ1 expression(P<0.05),whereas patients with low VEGF levels showed better OS and DFS than those with high VEGF levels(P<0.05).VEGF,TGFβ1,and platelet count were identified by the Cox proportional hazards model as independent risk factors for OS(P<0.05),while VEGF,TGFβ1,and white blood cell count were independent risk factors for DFS(P<0.05).CONCLUSION Decreased VEGF expression and increased TGFβ1 expression in patients with AML provide valuable references for determining and individualizing clinical treatment strategies.

Gossypol acetic acid regulates leukemia stem cells by degrading LRPPRC via inhibiting IL-6/JAK1/STAT3 signaling or resulting mitochondrial dysfunction

BACKGROUND Leukemia stem cells(LSCs)are found to be one of the main factors contributing to poor therapeutic effects in acute myeloid leukemia(AML),as they are protected by the bone marrow microenvironment(BMM)against conventional therapies.Gossypol acetic acid(GAA),which is extracted from the seeds of cotton plants,exerts anti-tumor roles in several types of cancer and has been reported to induce apoptosis of LSCs by inhibiting Bcl2.AIM To investigate the exact roles of GAA in regulating LSCs under different microenvironments and the exact mechanism.METHODS In this study,LSCs were magnetically sorted from AML cell lines and the CD34+CD38-population was obtained.The expression of leucine-rich pentatricopeptide repeat-containing protein(LRPPRC)and forkhead box M1(FOXM1)was evaluated in LSCs,and the effects of GAA on malignancies and mitochondrial RESULTS LRPPRC was found to be upregulated,and GAA inhibited cell proliferation by degrading LRPPRC.GAA induced LRPPRC degradation and inhibited the activation of interleukin 6(IL-6)/janus kinase(JAK)1/signal transducer and activator of transcription(STAT)3 signaling,enhancing chemosensitivity in LSCs against conventional chemotherapies,including L-Asparaginase,Dexamethasone,and cytarabine.GAA was also found to downregulate FOXM1 indirectly by regulating LRPPRC.Furthermore,GAA induced reactive oxygen species accumulation,disturbed mitochondrial homeostasis,and caused mitochondrial dysfunction.By inhibiting IL-6/JAK1/STAT3 signaling via degrading LRPPRC,GAA resulted in the elimination of LSCs.Meanwhile,GAA induced oxidative stress and subsequent cell damage by causing mitochondrial damage.CONCLUSION Taken together,the results indicate that GAA might overcome the BMM protective effect and be considered as a novel and effective combination therapy for AML.

β-谷甾醇通过诱导ROS累积造成氧化应激抑制K562/ADR细胞增殖并促进凋亡和分化

目的:探讨β-谷甾醇抑制耐阿霉素人类髓性白血病细胞K562/ADR增殖、促进细胞凋亡与分化的效果及其可能机制。方法:使用细胞毒性试验计算β-谷甾醇对K562/ADR细胞的半数抑制率(IC50),采用CCK-8法检测细胞增殖率,采用流式细胞术检测细胞凋亡率与线粒体膜电位下降率,使用分光光度法检测细胞上清中SOD活力与MDA含量,使用荧光试剂盒检测细胞ROS强度,使用联苯胺染色检测红细胞分化程度,使用蛋白质印迹(Western blot)检测珠蛋白转录因子1(GATA-1)、β-珠蛋白(β-globin)和核因子e2相关因子2(NF-E2)蛋白表达水平。结果:β-谷甾醇对K562/ADR细胞的半数抑制浓度的IC50为163.64μmol/L。与空白组相比,3个浓度的β-谷甾醇均能抑制细胞增殖、促进细胞凋亡与红细胞分化,降低SOD活力、线粒体膜电位,增加MDA与ROS含量,升高GATA-1、β-globin和NF-E2蛋白表达水平(P<0.01)。结论:β-谷甾醇能抑制K562/ADR细胞增殖,促进细胞凋亡,并且诱导红细胞分化,其机制可能是通过促进ROS积累引起氧化应激失衡。

CCCG-ALL-2015方案治疗儿童急性淋巴细胞白血病复发的危险因素分析

目的分析儿童急性淋巴细胞白血病(acute lymphoblastic leukemia,ALL)经中国儿童肿瘤协作组急性淋巴细胞白血病2015方案(Chinese Children's Cancer Group ALL-2015 protocol,CCCG-ALL-2015)治疗后的累积复发率(cumulative incidence of relapse,CIR),并探讨影响复发的危险因素。方法回顾性分析2015年1月—2019年12月接受CCCG-ALL-2015方案治疗的852例患儿的临床资料,计算CIR并分析影响儿童急性B淋巴细胞白血病(B-ALL)复发的危险因素。结果852例ALL患儿中,146例(17.1%)发生复发,8年CIR为(19.8±1.6)%。B-ALL与急性T淋巴细胞白血病患儿的8年CIR比较差异无统计学意义(P>0.05)。146例复发患儿中,复发时间主要集中于极早期(62例,42.5%)和早期(46例,31.5%),极早期单纯骨髓复发42例(28.8%),早期单纯骨髓复发27例(18.5%)。Cox比例风险回归模型分析显示,融合基因MLLr阳性(HR=4.177,95%CI:2.086~8.364,P<0.001)和第46天微小残留病≥0.01%(HR=2.013,95%CI:1.163~3.483,P=0.012)是B-ALL患儿经CCCG-ALL-2015方案治疗后复发的危险因素。结论儿童ALL经CCCG-ALL-2015方案治疗后仍有较高的复发率,以极早期和早期单纯骨髓复发常见;第46天微小残留病≥0.01%、融合基因MLLr阳性与B-ALL复发密切相关。

CD19 CAR-T细胞治疗难治/复发急性B淋巴细胞白血病儿童及青少年患者的疗效及安全性

目的探讨CD19嵌合抗原受体T细胞(CAR-T)治疗对于儿童及青少年难治/复发急性B淋巴细胞白血病(B-ALL)的疗效及安全性。方法回顾性分析2017年6月至2021年3月接受CD19 CAR-T治疗的<25岁难治/复发B-ALL患者的临床资料,评估该疗法的疗效及安全性。结果共纳入64例难治/复发B-ALL患者,男35例、女29例,中位年龄8.5(1.0~17.0)岁。CD 19 CAR-T回输后1个月进行短期疗效评估,64例患者均获得完全缓解(CR)/完全缓解兼部分血细胞计数缓解(CRi),其中有62例患者达骨髓微小残留病灶(MRD)阴性。细胞因子释放综合征(CRS)及免疫效应细胞相关神经毒性综合征(ICANS)发生率分别为78.1%及23.4%。共22例患者复发,中位复发时间10.1个月,4年总生存(OS)率为(66.0±6.0)%,4年无白血病生存(LFS)率为(63.0±6.0)%。长期随访结果显示桥接异基因造血干细胞移植(allo-HSCT)患者的LFS和OS率均优于未桥接移植患者(4年LFS率:81.8%±6.2%对24.0%±9.8%,4年OS率:81.4%±5.9%对44.4%±11.2%;均P<0.01)。结论CD 19 CAR-T可有效治疗难治/复发B-ALL,输注后桥接allo-HSCT能进一步改善患者的长期生存情况。

儿童慢性粒细胞白血病慢性期红细胞参数及血清bFGF、TGF-β1、VEGF表达变化分析

目的探究儿童慢性粒细胞白血病(CML)慢性期红细胞参数及血清碱性成纤维细胞生长因子(bFGF)、转化生长因子β1(TGF-β1)及血管内皮生长因子(VEGF)表达变化。方法前瞻性选取2020年1月至2023年1月在首都医科大学附属北京儿童医院进行治疗的54例CML慢性期患儿为研究组,另随机抽取46名同期在本院进行体检的健康儿童为健康对照组。研究组给予酪氨酸激酶抑制剂治疗。比较两组间红细胞参数及血清bFGF、TGF-β1、VEGF表达变化,并比较研究组治疗前后红细胞参数及血清bFGF、TGF-β1、VEGF表达水平。结果研究组的RBC、血红蛋白、红细胞压积(HCT)及平均红细胞血红蛋白浓度(MCHC)水平分别为(3.45±0.04)×10^(12)/L、(102.33±1.15)g/L、(32.03±0.61)%、322.15±2.58,均显著低于对照组[(4.98±0.03)×10^(12)/L、(149.78±1.88)g/L、(44.33±0.31)%、334.12±0.77],平均红细胞体积(MCV)、平均红细胞血红蛋白含量(MCH)及红细胞体积分布宽度(RDW)水平分别为(91.44±0.77)fL、(33.15±2.55)pg、(17.55±0.12)%,均显著高于对照组[(89.88±0.34)fL、(30.24±0.16)pg、(12.66±0.11)%],差异均有统计学意义(P<0.05)。研究组的血清bFGF、VEGF水平分别为(30.66±9.66)、(128.68±30.58)pg/mL,均显著高于对照组[(5.26±1.54)、(70.66±11.26)pg/mL],TGF-β1水平为(38.22±8.06)μg/L,显著低于对照组[(78.66±8.13)μg/L],差异均有统计学意义(P<0.05)。治疗后,研究组患儿的RBC、血红蛋白、HCT、MCV及MCH水平均较治疗前显著降低,MCHC及RDW水平均较治疗前显著升高,差异均有统计学意义(P<0.05)。研究组治疗后的血清bFGF、VEGF水平均较治疗前显著降低,TGF-β1水平较治疗前显著升高,差异均有统计学意义(P<0.05)。结论在儿童CML慢性期患儿中可见血细胞参数明显异常,血清bFGF、VEGF水平显著升高,TGF-β1水平显著降低。酪氨酸激酶抑制剂治疗CML慢性期能有效改善患儿红细胞形态及功能,抑制肿瘤细胞生长,临床疗效显著,值得临床推广使用。

乳腺癌患者病理特征与Bcl-2、CXCL13、PAX8表达情况的关系分析

目的分析乳腺癌患者病理特征与B细胞淋巴瘤/白血病-2基因(Bcl-2)、趋化因子配体13(CXCL13)、配对盒基因8抗体(PAX8)表达情况的关系。方法收集2021年1月至2023年1月该院收治的160例乳腺癌患者临床资料。采用免疫组化法对其癌组织与癌旁组织Bcl-2、CXCL13、PAX8表达情况进行检测,并分析3项指标与患者病理特征的关系。结果与癌旁组织比较,癌组织Bcl-2、CXCL13、PAX8阳性率更高,差异有统计学意义(P<0.05)。与雌激素受体(ER)阴性、肿瘤最大径≥3 cm、孕激素受体(PR)阴性患者比较,ER阳性、肿瘤最大径<3 cm、PR阳性患者中Bcl-2高表达占比更高,差异有统计学意义(P<0.05);与无淋巴结转移、Ⅰ~Ⅱ期患者比较,淋巴结转移、Ⅲ~Ⅳ期患者中CXCL13高表达占比更高,差异有统计学意义(P<0.05);与Ⅰ~Ⅱ期、高/中分化、无淋巴结转移患者比较,Ⅲ~Ⅳ期、低分化、有淋巴结转移患者中PAX8高表达占比更高,差异有统计学意义(P<0.05)。ER、PR表达情况与Bcl-2表达情况呈正相关(P<0.05),肿瘤最大径与Bcl-2表达情况呈负相关(P<0.05);临床分期、淋巴结转移情况与CXCL13、PAX8表达情况呈正相关(P<0.05);分化程度与PAX8表达情况呈负相关(P<0.05)。结论乳腺癌患者Bcl-2、CXCL13、PAX8表达情况对疾病的发生和发展具有明显影响,有望成为评估乳腺癌患者病情严重程度的标志物。

血清CysC、β_(2)-MG与急性髓系白血病患者去甲基化治疗效果的关系

目的:分析血清胱抑素C(Cys C)、β_(2)-微球蛋白(β_(2)-MG)与急性髓系白血病(AML)患者去甲基化治疗效果的关系。方法:使用前瞻性队列研究方法,纳入2019年2月-2022年1月内蒙古医科大学附属医院收治的98例AML患者进行研究,全部患者均接受地西他滨(DAC)+HAG方案治疗,以28 d为1个疗程,治疗3-4疗程。每个疗程结束时评估患者的治疗效果,达到完全缓解(CR)的患者进入巩固治疗,全部疗程结束未达到CR的患者视为治疗失败。治疗前检查项目包括血常规参数、血清Cys C、β_(2)-MG,并统计患者一般临床资料。根据统计结果,使用logistic回归分析血清Cys C、β_(2)-MG与AML患者去甲基化治疗效果的关系;绘制受试者工作特征(ROC)曲线,以曲线下面积(AUC)评估血清Cys C、β_(2)-MG对AML患者去甲基化治疗效果的预测效能。结果:入组98例AML患者,治疗期间5例被剔除,最终93例患者完成化疗疗程,其中23例初次诱导化疗(1-2疗程)达到CR,再诱导化疗(3-4疗程)后11例达到CR,治疗成功率为36.56%(34/93)。去甲基化治疗失败患者预后不良、预后中等占比高于治疗成功患者,血小板(PLT)、血红蛋白(Hb)水平低于治疗成功患者,血清Cys C、β_(2)-MG表达水平高于治疗成功患者,差异有统计学意义(P<0.05)。logistic回归分析显示,血清Cys C、β_(2)-MG高表达及预后不良是AML患者去甲基化治疗失败的独立危险因素(OR>1,P<0.05)。ROC曲线显示,血清Cys C、β_(2)-MG单独及联合预测AML患者去甲基化治疗效果的AUC值分别为0.788、0.785、0.834。结论:AML患者去甲基化治疗失败与血清Cys C、β_(2)-MG高表达有关,治疗前检测血清Cys C、β_(2)-MG能够预测AML患者去甲基化治疗失败风险。

2013-2020年广西重点种鸡场禽白血病净化效果分析

按照检测-淘汰-分群-再检测-再淘汰的原则,建立“生物安全+病原监测+淘汰”模式对2013—2020年广西11家重点种鸡场的种公鸡、种母鸡、育成鸡和雏鸡采集精液、蛋清、泄殖腔拭子、胎粪等样品进行禽白血病病原检测;公鸡和母鸡同时采集血浆蛋白进行禽白血病病毒(ALV)分离。通过多方式联合净化禽白血病,ALV阳性率逐年下降,净化效果非常显著。其中公鸡精液中ALV阳性率由2013年的7.45%下降到2020年的0.14%,母鸡蛋清样本ALV阳性率由2013年12.32%下降到2020年0.23%,雏鸡胎粪ALV阳性率由2018年3.60%下降到2020年0.47%。公鸡血浆蛋白病毒检出率由2013年的3.46%下降到2020年的0.78%,母鸡血浆蛋白病毒检出率由2013年的2.22%下降到2020年的0.20%。可以看出ALV净化效果非常显著,说明所建立的禽白血病净化方法在广西行之有效。

miR-21调控TLK2表达对急性髓系白血病细胞增殖和凋亡的影响

目的:探讨mi R-21调控TLK2表达对急性髓系白血病(AML)细胞增殖和凋亡的影响。方法:选取2019年1月至2022年7月在新乡市中心医院收治的70例AML患者,同时选取30例缺铁性贫血患者作为对照组,使用Ficoll密度梯度离心法获取两组患者的骨髓单个核细胞。RT-q PCR测定各组骨髓单个核细胞中mi R-21、TLK2 m RNA的表达水平。使用脂质体转染技术将mimics-mi R-21、mimics-NC、inhibitor-mi R-21、inhibitor-NC及NC转染至HL-60细胞。采用CCK-8法测定各组HL-60转染细胞经阿糖胞苷处理后的活性。TUNEL法测定HL-60转染细胞凋亡率。RT-q PCR测定转染inhibitor-mi R-21后HL-60细胞TLK2 m RNA的表达。结果:AML患者骨髓单个核细胞中mi R-21、TLK2 m RNA的相对表达水平均明显高于对照组患者(均P<0.05)。HL-60细胞经阿糖胞苷处理后,inhibitor-mi R-21组和mimics-mi R-21组的细胞活性均随阿糖胞苷浓度升高显著下降(P<0.05),但在每个阿糖胞苷浓度点,inhibitor-mi R-21组的细胞活性均低于对照组(P<0.05),而mimics-mi R-21组的细胞活性均高于对照组(P<0.05)。inhibitor-mi R-21组的细胞凋亡率显著升高(P<0.05),而mimics-mi R-21组的细胞凋亡率显著降低(P<0.05)。HL-60细胞经inhibitor-mi R-21处理后,TLK2 m RNA的相对表达量明显下降(P<0.05)。结论:mi R-21在AML患者中呈高表达,可能通过抑制TLK2的表达来促使AML细胞凋亡。

积雪草酸通过Wnt/β-catenin通路逆转白血病K562/ADR细胞的多药耐药性研究

目的:探讨积雪草酸(asiatic acid,AA)对人耐阿霉素(adriamycin,ADR)慢性髓系白血病K562/ADR细胞多药耐药的逆转作用及其机制。方法:采用CCK-8法检测K562细胞和K562/ADR细胞对ADR的耐药性;CCK-8法检测AA对K562/ADR细胞活力的影响及对ADR敏感性的增强作用;无毒剂量的AA(10、20μmol/L)处理K562/ADR细胞后,流式细胞术检测细胞内ADR的平均荧光强度;实时荧光定量聚合酶链反应(RT-qPCR)检测多药耐药相关蛋白1(multidrug resistance protein-1,MRP1)、P-糖蛋白(P-glycoprotein,P-gp)、β-连环蛋白(β-catenin)、原癌基因(C-myc)、细胞周期蛋白D1(cyclinD1)的mRNA表达水平;蛋白免疫印迹法(Western blot)法检测MRP1、P-gp、β-catenin、C-myc、cyclinD1蛋白的表达水平。20μmol/L AA联合Wnt/β-catenin通路激动剂WAY-262611(5μmol/L)处理K562/ADR细胞后,Western blot法检测细胞内MRP1、P-gp、β-catenin、C-myc、cyclinD1蛋白表达水平的变化。结果:CCK-8检测结果显示,K562/ADR细胞的耐药性是K562细胞的56.57倍,具有稳定耐药性,差异具有统计学意义(P<0.05)。AA可呈浓度依赖性抑制K562/ADR细胞的增殖活力(r=0.9666)。与0μmol/L AA组相比,10、20μmol/L AA组可明显增强细胞内ADR的平均荧光强度(P<0.05),逆转细胞对ADR的耐药性(P<0.05),明显下调细胞中MRP1、P-gp、β-catenin、C-myc和cyclinD1 mRNA和蛋白的表达(P均<0.05)。与单用20μmol/L AA组相比,20μmol/L AA+WAY组细胞中MRP1、P-gp、β-catenin、C-myc、cyclinD1蛋白表达水平均明显升高(P均<0.05)。结论:AA呈浓度依赖性抑制K562/ADR细胞增殖,逆转该细胞对ADR的耐药性,其逆转机制可能与抑制Wnt/β-catenin信号通路后下调耐药相关蛋白MRP1和P-gp的表达有关。