Added value of ratio of cross diameters of the appendix in ultrasound diagnosis of acute appendicitis

BACKGROUND The maximum outer diameter(MOD)of the appendix is an essential parameter for diagnosing acute appendicitis,but there is space for improvement in ultrasound(US)diagnostic performance.AIM To investigate whether combining the ratio of the cross diameters(RATIO)of the appendix with MOD of the appendix can enhance the diagnostic performance of acute appendicitis.METHODS A retrospective study was conducted,and medical records of 233 patients with acute appendicitis and 112 patients with a normal appendix were reviewed.The MOD and RATIO of the appendix were calculated and tested for their diagnostic performance of acute appendicitis,both individually and in combination.RESULTS The RATIO for a normal appendix was 1.32±0.16,while for acute appendicitis it was 1.09±0.07.The cut-off value for RATIO was determined to be≤1.18.The area under the receiver operating characteristic curve(AUC)for diagnosing acute appendicitis using RATIO≤1.18 and MOD>6 mm was 0.870 and 0.652,respectively.There was a significant difference in AUC between RATIO≤1.18 and MOD>6 mm(P<0.0001).When comparing the combination of RATIO≤1.18 and MOD>6 mm with MOD>6 mm alone,the combination showed increased specificity,positive predictive value(PPV),and AUC.However,the sensitivity and negative predictive value decreased.CONCLUSION Combining RATIO of the appendix≤1.18 and MOD>6 mm can significantly improve the specificity,PPV,and AUC in the US diagnosis of acute appendicitis.

Synchronous diagnosis and treatment of acute myeloid leukemia and chronic lymphocytic leukemia:Two case reports

BACKGROUND The concurrence of acute myeloid leukemia(AML)and chronic lymphocytic leukemia(CLL)is rare.Previous reports of such cases have focused mainly on clinical diagnosis and characteristics,so the mechanism remains unclear,and therapy options have been poorly explored.CASE SUMMARY Here,we report two cases of synchronous AML and CLL.Flow cytometry revealed two distinct abnormal cell populations(myeloblasts and lymphoid cells)according to scatter characteristics.CD5-positive B cell lymphoma with myeloid leukemia invasion was observed on lymph node biopsy.Chemotherapy regimens indicated for both AML and CLL were used in our patients,and our patients achieved complete response after chemotherapy.Next-generation sequencing of 88 genes was performed.CONCLUSION We conclude that early mutation and dysregulation at the hematopoietic stem cell stage and the accumulation of multiple rearrangements may cause the concurrence of CLL and AML.The treatment of infection and combination therapy aimed at the CLL component are significant in the management of patients with concurrent CLL and AML.

Low WT1 transcript levels at diagnosis predicted poor outcomes of acute myeloid leukemia patients with t(8;21) who received chemotherapy or allogeneic hematopoietic stem cell transplantation

Background:Acute myeloid leukemia(AML) with t(8;21) is a heterogeneous disease.Identifying AML patients with t(8;21) who have a poor prognosis despite achieving remission is important for determining the best subsequent therapy.This study aimed to evaluate the impact of Wilm tumor gene-1(WT1) transcript levels and cellular homolog of the viral oncogene v-KIT receptor tyrosine kinase(C-KIT) mutations at diagnosis,and RUNXTRUNX1T1 transcript levels after the second consolidation chemotherapy cycle on outcomes.Methods:Eighty-eight AML patients with t(8;21) who received chemotherapy only or allogeneic hematopoietic stem cell transplantation(allo-HSCT) were included.Patients who achieved remission,received two or more cycles of consolidation chemotherapy,and had a positive measureable residual disease(MRD) test result(defined as <3-log reduction in RUNX1-RUNX1T1 transcript levels compared to baseline) after 2-8 cycles of consolidation chemotherapy were recommended to receive allo-HSCT.Patients who had a negative MRD test result were recommended to receive further chemotherapy up to only 8 cycles.WT1 transcript levels and C-KIT mutations at diagnosis,and RUNX1-RUNX1T1 transcript levels after the second consolidation chemotherapy cycle were tested.Results:Patients who had a C-KIT mutation had significantly lower WTl transcript levels than patients who did not have a C-KIT mutation(6.7%± 10.6%vs.19.5%± 19.9%,P < 0.001).Low WTl transcript levels(<5.0%) but not C-KIT mutation at diagnosis,a positive MRD test result after the second cycle of consolidation chemotherapy,and receiving only chemotherapy were independently associated with high cumulative incidence of relapse in all patients(hazard ratio[HR]= 3.53,2.30,and 11.49;95%confidence interval[CI]1.64-7.62,1.82-7.56,and 4.43-29.82;P = 0.002,0.034,and <0.001,respectively);these conditions were also independently associated with low leukemia-free survival(HR =3.71,2.33,and 5.85;95%CI 1.82-7.56,1.17-4.64,and 2.75-12.44;P < 0.001,0.016,and <0.001,respectively) and overall survival(HR = 3.50,2.32,and 4.34;95%CI 1.56-7.82,1.09-4.97,and 1.98-9.53;P = 0.002,0.030,and <0.001,respectively) in all patients.Conclusions:Testing for WTl transcript levels at diagnosis in patients with AML and t(8;21) may predict outcomes in those who achieve remission.A randomized study is warranted to determine whether allo-HSCT can improve prognosis in these patients.

Latent Space Representational Learning of Deep Features for Acute Lymphoblastic Leukemia Diagnosis

Acute Lymphoblastic Leukemia(ALL)is a fatal malignancy that is featured by the abnormal increase of immature lymphocytes in blood or bone marrow.Early prognosis of ALL is indispensable for the effectual remediation of this disease.Initial screening of ALL is conducted through manual examination of stained blood smear microscopic images,a process which is time-consuming and prone to errors.Therefore,many deep learning-based computer-aided diagnosis(CAD)systems have been established to automatically diagnose ALL.This paper proposes a novel hybrid deep learning system for ALL diagnosis in blood smear images.The introduced system integrates the proficiency of autoencoder networks in feature representational learning in latent space with the superior feature extraction capability of standard pretrained convolutional neural networks(CNNs)to identify the existence of ALL in blood smears.An augmented set of deep image features are formed from the features extracted by GoogleNet and Inception-v3 CNNs from a hybrid dataset of microscopic blood smear images.A sparse autoencoder network is designed to create an abstract set of significant latent features from the enlarged image feature set.The latent features are used to perform image classification using Support Vector Machine(SVM)classifier.The obtained results show that the latent features improve the classification performance of the proposed ALL diagnosis system over the original image features.Moreover,the classification performance of the system with various sizes of the latent feature set is evaluated.The retrieved results reveal that the introduced ALL diagnosis system superiorly compete the state of the art.

Flow Cytometric Diagnosis of Acute Leukemia and Aberrant Antigen: Sohag University Experience

Background: Multiparameter flow cytometry is the most important method for the lineage assignment and maturational analysis of acute leukemias (AL) cells. The multi parametric immunophenotyping analysis allows the detection of aberrant antigen expression and the analysis of heterogeneity and clonality of malignant cells in AL. The aim of the work is to study the immunophenotypes of blasts from patients with AL and determine the frequency of aberrant markers. Subjects and Methods: Retrospective study to analyze immunophenotypic data of de novo 144 AL patients who were diagnosed in Clinical Pathology Department, Sohag University. Results: We found that 61.8% of AL patients were classified as acute myeloblastic leukemia (AML) while 38.9% classified as acute lymphoblastic leukemia (ALL). The commonest FAB subtype in AML group was AML-M2 (31.8%) followed by M4-M5 27.3%. As regard ALL, there were 85.7% with B-ALL and 14.3% with T-ALL. The aberrancy expressions were found in 66 of AL cases (45.8%), CD7 was the most commonly expressed lymphoid antigen in AML (25%), CD13 was the most commonly expressed myeloid antigen in ALL (39.3%). Conclusion: The multi parametric immunophenotyping analysis of AL is sufficient for diagnosis and classification of leukemia. The frequencies of

Laboratory Diagnosis of Acute Leukemia in Kenya: The Gaps and Opportunities

Acute leukemia (AL) is a malignant disease of the bone marrow in which hematopoietic precursors are arrested in an early stage of development. The diagnosis of leukemia and lymphomas, beyond morphology, is limited in low-resource countries including Kenya. Morphological diagnosis includes Cytological and Histological assessment of blood, bone marrow aspirates and tissues on suspected Acute leukemia patients. The World Health Organization (WHO, 2016) international guidelines on Acute leukemia diagnosis recommend that cytogenetic analysis, appropriate molecular genetics, Fluorescent in situ Hybridization (FISH) testing, and flow cytometric immuno-phenotyping should be done in addition to a morphologic assessment of Acute Leukemia. In facilities where resources are relatively available, immunophenotypic and genetic features have resulted not only in providing a more accurate leukemia diagnosis but also in identifying antigens or genes that can then be targeted for therapy. This article will look at the gaps in the diagnosis of Acute leukemia in low-resource settings like Kenya and opportunities available to improve diagnosis.

Classification of Bone Marrow Cells for Medical Diagnosis of Acute Leukemia

Leukemia is the cancer that starts in the blood cells due to the excess production of immature leucocytes that replace the cells with normal blood cells.Physicians rely on their experience to determine the type and subtype of Leukemia from the blood sample.Most people are misdiagnosed when it comes to its subtypes,the error rates can be up to 40%during the classification process.That too depends on the expertise of the physician.This research represents a Convolutional Neural Network based medical image classifier.The proposed technique can classify Leukemia and its five subtypes.State of the art deep learning and transfer learning techniques have been used,all of the network architectures are fine-tuned followed by feature extraction.This research can assist the pathologist in decision making or can be used for the process automation.The proposed methodology can give better results in terms of accuracy and is more effective than the hematologist’s visual classification in terms of time.

Expert Consensus on Diagnosis and Treatment of Elderly Acute Myeloid Leukemia(Non-Acute Promyelocytic Leukemia) with Integrated Traditional Chinese and Western Medicine(2021)

Acute myeloid leukemia(AML)is a malignancy due to clonal expansion of hematopoietic stem and progenitor cells.In recent years,the factors,such as aging of population,increased exposure to toxic chemicals and prolonged survival period of patients receiving radiotherapy and chemotherapy for other malignancies,contribute to significantly increased incidence of AML in the elderly(60 years old),whereby the median age of AML approaches 70 years old.[1,2]Although the past decades have witnessed a significant increase in cure rate of young AML patients,the long-term survival rate of elderly AML patients is still very low,of which 5-year survival rate is only 5%-10%.[3-5]Compared with young AML patients,elderly AML patients have unique biological and clinical characteristics.On the one hand,most of them have complex chromosome karyotype,higher expression rate of multidrug resistance gene,and the disease is often secondary to some physical and chemical factors.

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.

Carrimycin in the treatment of acute promyelocytic leukemia combined with pulmonary tuberculosis: A case report

BACKGROUND Pulmonary tuberculosis(PTB)is prevalent in immunocompromised populations,including patients with hematologic malignancies,human immunodeficiency virus infections,and chronic diseases.Effective treatment for acute promyelocytic leukemia(APL)combined with PTB is lacking.These patients show an extremely poor prognosis.Therefore,studies should establish efficient treatment options to improve patient survival and prognosis.CASE SUMMARY A 60-year-old male with pain in the right side of his chest and a fever for 4 d visited the outpatient department of our hospital.Peripheral blood smear revealed 54%blasts.Following bone marrow examinations,variant APL with TNRC18-RARA fusion gene was diagnosed.Chest computed tomography scan showed bilateral pneumonitis with bilateral pleural effusions,partial atelectasis in the lower lobes of both lungs,and the bronchoalveolar lavage fluid gene X-Pert test was positive,indicative of PTB.Carrimycin,ethambutol(EMB),and isoniazid(INH)were administered since he could not receive chemotherapy as the WBC count decreased continuously.After one week of treatment with carrimycin,the patient recovered from fever and received chemotherapy.Chemotherapy was very effective and his white blood cells counts got back to normal.After being given five months with rifampin,EMB and INH and chemotherapy,the patient showed complete remission from pneumonia and APL.CONCLUSION We report a case of PTB treated successfully with carrimycin with APL that requires chemotherapy.

Synergistic Effects of Glutamine Deprivation and Metformin in Acute Myeloid Leukemia

Objective The metabolic reprogramming of acute myeloid leukemia(AML)cells is a compensatory adaptation to meet energy requirements for rapid proliferation.This study aimed to examine the synergistic effects of glutamine deprivation and metformin exposure on AML cells.Methods SKM-1 cells(an AML cell line)were subjected to glutamine deprivation and/or treatment with metformin or bis-2-(5-phenylacetamido-1,2,4-thiadiazol-2-yl)ethyl sulfide(BPTES,a glutaminase inhibitor)or cytarabine.Cell viability was detected by Cell Counting Kit-8(CCK-8)assay,and cell apoptosis and reactive oxygen species(ROS)by flow cytometry.Western blotting was conducted to examine the levels of apoptotic proteins,including cleaved caspase-3 and poly(ADP-ribose)polymerase(PARP).Moreover,the human long noncoding RNA(lncRNA)microarray was used to analyze gene expression after glutamine deprivation,and results were confirmed with quantitative RT-PCR(qRT-PCR).The expression of metallothionein 2A(MT2A)was suppressed using siRNA.Cell growth and apoptosis were further detected by CCK-8 assay and flow cytometry,respectively,in cells with MT2A knockdown.Results Glutamine deprivation or treatment with BPTES inhibited cell growth and induced apoptosis in SKM-1 cells.The lncRNA microarray result showed that the expression of MT family genes was significantly upregulated after glutamine deprivation.MT2A knockdown increased apoptosis,while proliferation was not affected in SKM-1 cells.In addition,metformin inhibited cell growth and induced apoptosis in SKM-1 cells.Both glutamine deprivation and metformin enhanced the sensitivity of SKM-1 cells to cytarabine.Furthermore,the combination of glutamine deprivation with metformin exhibited synergistic antileukemia effects on SKM-1 cells.Conclusion Targeting glutamine metabolism in combination with metformin is a promising new therapeutic strategy for AML.

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.

Adult rhabdomyosarcoma combined with acute myeloid leukemia: A case report

BACKGROUND Rhabdomyosarcoma is a tumor of mesenchymal origin.Secondary leukemia is a complication of previous transformation to other hematologic disorders or is a treatment-related acute myeloid leukemia secondary to cytotoxic chemotherapy or radiation therapy for other malignancies.CASE SUMMARY We present the case of a 36-year-old female patient who was diagnosed with rhabdomyosarcoma and acute myeloid leukemia.Further disease progression was observed after multiline chemotherapy.Eventually,the patient suffered cerebral hemorrhage,which resulted in death.CONCLUSION The incidence of rhabdomyosarcoma in adults is extremely low,and secondary leukemia caused by rhabdomyosarcoma is even rarer.Secondary leukemia has a very poor prognosis and a low overall survival rate.

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.

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.

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.

Damage Mechanism of CK2 and IKAROS in Philadelphia Like Acute Lymphoblastic Leukemia

Acute lymphoblastic leukemia (ALL) is characterized by immature and poorly differentiated B lymphocytes in large numbers in the blood. B cells are distinct from the cell types involved in their development (common lymphoid progenitor cells, pro-B cells, pre-B cells, and mature cells). The process of B cell maturation depends on precise communication within the cell: signals activate specific genes that are essential for proper development. Errors in this intricate signaling network can lead to issues with B cell function and contribute to disease. B-lineage acute lymphoid leukemias, malignancies of precursor-stage B lymphoid cells inhibit lymphoid differentiation, leading to abnormal cell proliferation and survival. The process of developing leukemia (leukemogenesis) can be triggered by an overproduction of both hematopoietic stem cells (the cells that form all blood cells) and the immature versions of white blood cells called lymphoblasts. Acute lymphoblastic leukemia (ALL) with the presence of the Philadelphia chromosome (ALL Ph) is classified as a high-risk manifestation of the disease, this chromosome is the product of the reciprocal translocation, whose product is a BCR-ABL fusion protein. It is a highly active tyrosine kinase that can transform hematopoietic cells into cytokine-independent. Hyperphosphorylation cascades inhibit the differentiating function of IKZF1 as a tumor suppressor gene which leads to an abnormal proliferation of B cells due to the presence of the Philadelphia chromosome;it inhibits the differentiating process, leukemogenesis involving immature B cells in the bloodstream can result from the uncontrolled growth and division of hematopoietic stem cells and immature lymphoblasts (the precursors to B cells).

Acute Leukemia in Niger: Epidemiological, Diagnostic and Therapeutic Aspects

Objective: Improve the care of patients followed for acute leukemia in the Oncohematology department of the National Hospital of Niamey. Methods: This was a prospective study, over a period of 2 years from January 1, 2018 to December 31, 2019, in patients with acute leukemia in the Oncohematology department of the National Hospital of Niamey (HNN), whose diagnosis was made on a blood smear associated with a myelogram and immunophenotyping and who were consenting. Results: We collected 25 cases of acute leukemia confirmed by myelogram and immunophenotyping. The mean age of the patients was 31.32 years, with a predominance of women, a sex ratio of 0.92. Pupils and students were in the majority with 40% and most came from the Niamey region, i.e. 68%. Anemic syndrome was the most common clinical sign in 96%. ALL predominated in 64% of cases. On the blood count, the hyperleukocytosis was more marked in AML (mean white count: 197256.6 elts/mm3) than in ALL (137891.6 elts/mm3), it was the same for thrombocytopenia which is more marked in AML (75588.89/mm3) than in ALL (52156.25/mm3). Therapeutically, 52% of patients received chemotherapy. The mean overall survival was 16.223 ± 3.191 months, including a mean survival for AML of 6.853 ± 1200 months compared to 21.720 ± 5.920 months for ALL. Conclusion: Acute leukemia still remains a major problem in our context, due to the precariousness of limited financial, diagnostic and therapeutic resources. Thus reflecting in our results, the increasing number of cases, the diagnostic delay and the guarded prognosis. This is the reality in several other countries in the sub-region and even in certain developed countries.

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.

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.