Acute Leukemia

SERS and Machine Learning-Enabled Liquid Biopsy: A Promising Tool for Early Detection and Recurrence Prediction in Acute Leukemia

Acute leukemia (AL), classified as acute myeloid leukemia (AML) and acute lymphocytic leukemia (ALL), is a hematologic malignancy caused by the uncontrolled proliferation of leucocytes in the bone marrow. Early detection of AL is crucial for clinical treatment. Detection methods of AL are currently blood tests, bone marrow tests, imaging, and spinal fluid tests. However, these tests have drawbacks, such as high cost and time consumption. Liquid biopsy using biological fluids such as blood or serum is an emerging technique for noninvasive cancer detection and monitoring. Surface-enhanced Raman spectroscopy (SERS), which enhanced Raman signals by the interaction of plasmonic nanostructures with the analyte, is a highly sensitive and specific detection method with simple sample preparation that has been used in combination with machine learning techniques to analyze liquid biopsy. In this study, we developed a SERS-based liquid biopsy approach that enables accurate classification of AML and ALL subtypes and the prediction of disease recurrence. SERS spectra of serum samples from 24 healthy individuals, 43 AML patients, and 18 ALL patients were obtained using an Ag-based SERS substrate and clustered using hierarchical cluster analysis (HCA). The spectra were then classified using three commonly used classifiers, namely, support vector machine (SVM), random forest (RF), and k-nearest neighbor (kNN). Our findings demonstrate that the RF classifier has the highest accuracy values, with 96.1, 95.5, and 98.5% for classifying three groups and predicting the recurrence of AML and ALL, respectively. The combination of SERS-based serum analysis with machine learning algorithms represents a remarkable advancement in the realm of hematological disease diagnostics, particularly for AML and ALL. This approach not only facilitates the precise differentiation of disease subtypes but also introduces the novel capability of prognosticating disease recurrence.

Changes in physical fitness in acute leukemia patients during chemotherapy

This study aimed to investigate the changes in physical fitness and patient-reported outcomes as well as the correlation between these two factors in adult patients with newly diagnosed acute leukemia during chemotherapy. This was a longitudinal observational study. Patients were recruited from a tertiary hospital in China with a follow-up period of less than 90 days. Physical fitness was assessed using body mass index (BMI), mean skinfold thickness, waist-to-hip ratio, spirometry, mean grip strength, and flexibility at T1 (before chemotherapy), T2 (7-14 days after initial chemotherapy), and T3 (completely relieved or after two chemotherapy courses). A repeated-measures analysis of variance was used to analyze the physical fitness changes during follow-up. Multiple linear regression was used to analyze the factors influencing patient-reported outcomes. The study analyzed 121 patients. Changes in physical fitness during chemotherapy, including BMI, mean skinfold thickness, lung capacity and flexibility were not all equal at all three time points (F = 38.477, P < 0.001; F = 44.506, P < 0.001; F = 70.948, P < 0.001; and F = 70.965, P < 0.001), and post-hoc tests showed that they all trended to be decreasing before they were elevated (T2 < T3 < T1). The waist-to-hip ratio decreased and then increased (F = 12.138, P < 0.001,T2 < T3 = T1) and the mean grip strength remained stable (F = 0.137, P = 0.718). The total patient-reported outcome scale score decreased and subsequently increased (F = 362.507, P < 0.001,T2 < T1 < T3). BMI, mean skinfold thickness, spirometry, and flexibility influenced the patient-reported outcomes (B = 1.427,P < 0.001; B=-15.340,P < 0.001; B = 0.002,P = 0.014; B = 0.249,P < 0.001). Physical fitness affects patient-reported outcomes in those with acute leukemia. During chemotherapy, especially myelosuppression, healthcare providers should monitor patients' physical fitness and implement positive patient-appropriate interventions, such as exercise interventions, to promote better outcomes.

WT1 and DNMT3A Mutations in Prognostic Significance of Acute Myeloid Leukemia: A Meta-Analysis

Background: Adult acute leukemia most commonly manifests as acute myeloid leukemia (AML), a highly heterogeneous malignant tumor of the blood system. The application of genetic diagnostic technology is currently prevalent in numerous clinical sectors. According to recent research, the presence of specific gene mutations or rearrangements in leukemia cells is the primary cause of the disease. As different types of leukemia are caused by atypical mutated genes, testing for these mutations or rearrangements can help diagnose leukemia and identify the disease's molecular targets for treatment. Methods: Using the search fields "WT1," "DNMT3A," "Acute myeloid leukemia," and "survival," the CBM, Cochrane Library, Scopus, EMBASE, and PUBMED databases were separately reviewed. The methodology for evaluating the risk of bias developed by the Cochrane Collaboration was used in conjunction with a methodical evaluation of pertinent literature. Excluded studies with the following characteristics: (1) incomplete and repetitive publications, (2) unable to retrieve or convert data, (3) non-English or Chinese articles. Results: This analysis included 13 studies covering a total of 3478 subjects. The frequency of Wilms' Tumor 1 (WT1) mutations is 6.7%-35.73%, and the frequency of DNMT3A mutations is 12.06%-51.1%. The remission rate of patients with WT1 mutations was less than that of patients without WT1 mutations (OR = 0.22; 95% confidence interval [CI]: 0.14, 0.36; p < 0.00001; I2 = 55%). The DNMT3A mutation has no statistical significance for the prognosis of AML (OR = 1.21; 95% CI: 0.93, 1.58; p = 0.16; I2 = 80%). After removing one study, the heterogeneity of the indicator (mitigation rate) among other studies of DNMT3A mutation was dramatically reduced (OR = 0.63; 95% CI: 0.43, 0.93; p = 0.02; I2 = 0%). Conclusions: Our meta-analysis shows that WT1 mutations hurt the remission rate of AML. Moreover, the impact of DNMT3A mutations on AML needs to be treated with caution. Gene diagnosis is critical for the prognosis and clinical management of AML.

Clinical Peptidomics in Acute Leukemias: Current Advances and Future Perspectives

The study of circulating peptides in the blood offers significant opportunities for diagnosing, stratifying, and managing various diseases. With recent technological advances and the ongoing need to understand complex diseases such as acute leukemias (AL), peptidomic analysis of peripheral blood, especially serum and plasma, has become increasingly important for studying human biology and pathophysiology. Here, we provide insights and perspectives on technological developments and potential clinical applications using widely used peptidomic analysis methods. We discuss examples where peptidomics using serum or plasma has contributed to the understanding of AL. Specifically, we highlight the scarcity of peptidomic studies applied to AL and emphasize the importance of exploring this area, as the few published studies present promising results that can significantly contribute to precision medicine.

The effect of self-care education with smart phone applications on the severity of nausea and vomiting after stem cell transplantation in leukemia patients

INTRODUCTION

Common side effects after stem cell transplantation (SCT), such as anorexia, nausea, and vomiting, can disrupt the quality of life of patients. Therefore, this study aimed to determine the effect of self-care education with smart phone applications on the severity of nausea and vomiting after SCT in leukemia patients.

MATERIALS AND METHODS

In this clinical trial study, using the blocked randomization method 104 leukemia patients undergoing SCT were assigned to two groups, intervention and control. The patients of the Control Group received routine care, and the Intervention Group received self-care education with a smart mobile phone application, in addition to routine care. Two weeks, one month, and three months after the start of the intervention, the severity of nausea and vomiting was evaluated using the visual analog scale (VAS) and the Khavar Oncology scale, both of which were completed by both Control and Intervention Groups. Data were analyzed using chi-square, Fisher's exact, Mann-Whitney, and Friedman tests using the Statistical Package for Social Sciences version 25 software.

RESULTS

The severity of nausea and vomiting in leukemia patients undergoing SCT was significantly different in the two groups at all three timepoints (two weeks, one month, and three months) after transplantation (p-value = 0.000).

CONCLUSION

The severity of nausea and vomiting after SCT in leukemia patients was improved by self-care education with a smart phone application. Therefore, this method is recommended to reduce the severity of nausea and vomiting in leukemia patients who undergo transplantation.

Exploring novel protein biomarkers for early-stage diagnosis and prognosis of T-acute lymphoblastic leukemia (T-ALL)

BACKGROUND

Efficient classification of T-acute lymphoblastic leukemia (T-ALL) involves considering various factors, such as age, white blood cell count, and chromosomal alterations. However, studying protein markers are crucial to improving T-ALL patients' diagnosis and treatment. A study analyzing the expression of proteomes was conducted to identify promising early-stage biomarkers for T-ALL patients METHODS: Label-free liquid chromatography-tandem mass spectrometry (LC-MS/MS) was used to analyze the blood proteins of both patients and healthy individuals to identify new biomarkers for T-ALL. The findings were validated by RT-PCR, ELISA and computational analysis RESULTS: The study identified 1467 proteins in the blood, of which nine were upregulated and 35 were downregulated by more than 2-fold. T-ALL patients showed a significant increase in specific disease-related proteins, such as eleven-nineteen lysine-rich leukemia protein, triggering receptor expressed on myeloid cells 1, cisplatin resistance-associated-overexpressed protein, X-ray radiation resistance-associated protein 1, tumor necrosis factor receptor superfamily member 10D, protein S100-A8, and copine-4, by more than 3-fold CONCLUSION: The findings of this study provide a valuable protein map of leukemic cells and identify potential biomarkers for leukemic aggressiveness. However, further studies using larger T-ALL patient samples must confirm these preliminary results.

Resilience Development Among Adult Patients With De Novo Acute Leukemia: A Qualitative Study

OBJECTIVE

This study aimed to explore the development process of psychological resilience among adult patients with de novo acute leukemia.

METHODS

This study utilized a descriptive qualitative approach, employing a purposeful sampling method to select a sample of 15 newly diagnosed patients with acute leukemia (AL) who underwent their initial induction chemotherapy treatment at the Hematology Department of the First Affiliated Hospital of Zhejiang University School of Medicine, China. Semi-structured interviews were conducted with the selected patients. Content analysis methodology was used to analyze, summarize, and extract themes from the collected data.

RESULTS

Three categories emerged-namely, (1) negative period, (2) adaptive response phase, and (3) growth transformation period. The negative period occurs during the initial diagnosis and throughout the treatment cycle. However, influenced by both internal and external protective factors, including personal characteristics and social support, individuals enhance their psychological resilience through emotional regulation, mental adjustment, and adaptive strategies vis-à-vis healthcare decision-making and disease management. Overall, psychological resilience development follows an upward spiral trajectory.

CONCLUSIONS

This study identified that negative emotions and symptom clusters impede the development of patients' psychological resilience. Moreover, it revealed a substantial need for disease-related information among patients. Therefore, healthcare professionals should prioritize addressing the negative emotions of patients, early identification of protective factors, dynamic monitoring of symptom clusters, effective management, and provision of psychological counseling and interventions. Simultaneously, providing personalized, professional, and systematic disease-related information is vital for promoting psychological resilience development.

Prediction of Response to FDA-Approved Targeted Therapy and Immunotherapy in Acute Lymphoblastic Leukemia (ALL)

OPINION STATEMENT

Acute lymphoblastic leukemia (ALL) represents the predominant cancer in pediatric populations, though its occurrence in adults is relatively rare. Pre-treatment risk stratification is crucial for predicting prognosis. Important factors for assessment include patient age, white blood cell (WBC) count at diagnosis, extramedullary involvement, immunophenotype, and cytogenetic aberrations. Minimal residual disease (MRD), primarily assessed by flow cytometry following remission, plays a substantial role in guiding management plans. Over the past decade, significant advancements in ALL outcomes have been witnessed. Conventional chemotherapy has remarkably reduced mortality rates; however, its intensive nature raises safety concerns and has led to the emergence of treatment-resistant cases with recurrence of relapses. Consequently, The U.S. Food and Drug Administration (FDA) has approved several novel treatments for relapsed/refractory ALL due to their demonstrated efficacy, as indicated by improved complete remission and survival rates. These treatments include tyrosine kinase inhibitors (TKIs), the anti-CD19 monoclonal antibody blinatumomab, anti-CD22 inotuzumab ozogamicin, anti-CD20 rituximab, and chimeric antigen receptor (CAR) T-cell therapy. Identifying the variables that influence treatment decisions is a pressing necessity for tailoring therapy based on heterogeneous patient characteristics. Key predictive factors identified in various observational studies and clinical trials include prelymphodepletion disease burden, complex genetic abnormalities, and MRD. Furthermore, the development of serious adverse events following treatment could be anticipated through predictive models, allowing for appropriate prophylactic measures to be considered. The ultimate aim is to incorporate the concept of precision medicine in the field of ALL through valid prediction platform to facilitate the selection of the most suitable treatment approach.

Chemical Composition, Antioxidant, and Cytotoxic Effects of Senna rugosa Leaf and Root Extracts on Human Leukemia Cell Lines

Senna rugosa is a species found in the Cerrado and used in folk medicine as a vermifuge and in the treatment of poisonous snakebites accidents. In this work, we identified the main secondary metabolites present in ethanolic extracts of the leaves (ELSR) and roots (ERSR) of S. rugosa and evaluated the potential cytoprotective effect against cellular macromolecular damage, as well as the cytotoxic properties of the extracts on the K562 and Jurkat leukemic cell lines. The identification of metabolites was carried out by liquid chromatography coupled with mass spectrometry. The antioxidant activities were investigated by direct ABTS•+ and DPPH• radical scavenging methods, protection against oxidative damage in proteins, and DNA. Cytotoxic properties were investigated against healthy cells, isolated from human peripheral blood (PBMC) and leukemic cell lines. The leaf extracts contained catechin, rutin, epigallocatechin derivatives, kaempferol glycosides, luteolin, and dimeric and trimeric procyanidins, while the root extract profile showed obtusichromoneside derivatives, 2-methoxystypandrone, stilbene derivatives, naphthopyranones, and flavanone derivatives. The extracts showed antioxidant activity, with an IC50 of 4.86 ± 0.51 μg/mL and 8.33 ± 0.90 μg/mL in the ABTS assay for ELSR and ERSR, respectively. Furthermore, in the DPPH• assay, the IC50 was 19.98 ± 1.96 μg/mL for ELSR and 13.37 ± 1.05 μg/mL for ERSR. The extracts protected macromolecules against oxidative damage at concentrations of 5 μg/mL. The cytotoxicity test against leukemic strains was observed after 24 and 48 h of treatment. After 48 h, results against the K562 cell line demonstrate an IC50 of 242.54 ± 2.38 μg/mL and 223.00 ± 2.34 μg/mL for ELSR and ERSR, respectively. While against the Jurkat cell line, these extracts showed an IC50 of 171.45 ± 2.25 μg/mL and 189.30 ± 2.27 μg/mL, respectively. The results pertaining to PBMC viability demonstrated that the extracts showed selectivity for the leukemic cell lines. Together, our results reveal that the leaves and roots of S. rugosa have completely distinct and complex chemical compositions and expand their significant pharmacological potential in oxidative stress and leukemia conditions.

A novel α,β-unsaturated ketone inhibits leukemia cell growth as PARP1 inhibitor

Leukemia is a malignant disease of the hematopoietic system, in which clonal leukemia cells accumulate and inhibit normal hematopoiesis in the bone marrow and other hematopoietic tissues as a result of uncontrolled proliferation and impaired apoptosis, among other mechanisms. In this study, the anti-leukemic effect of a compound (SGP-17-S) extracted from Chloranthus multistachys, a plant with anti-inflammatory, antibacterial and anti-tumor effects, was evaluated. The effect of SGP-17-S on the viability of leukemic cell was demonstrated by MTT assay, cell cycle, and apoptosis were assessed by flow cytometry using PI staining and Annexin V/PI double staining. Combinations of network pharmacology and cellular thermal shift assay (CETSA) with western blot were used to validate agents that act on leukemia targets. The results showed that SGP-17-S inhibited the growth of leukemia cells in a time- and dose-dependent manner. SGP-17-S blocked HEL cells in the G2 phase, induced apoptosis, decreased Bcl-2 and caspase-8 protein expression, and increased Bax and caspase-3 expression. In addition, CETSA revealed that PARP1 is an important target gene for the inhibition of HEL cell growth, and SGP-17-S exerted its action on leukemia cells by targeting PARP1. Therefore, this study might provide new solutions and ideas for the treatment of leukemia.

Factors influencing family resilience in adult patients with acute leukemia undergoing chemotherapy: A qualitative study

Objective

To explore the factors influencing family resilience in adult patients with acute leukemia undergoing chemotherapy, with the aim of providing a theoretical basis for the development of strategies to strengthen their family resilience.

Methods

A descriptive phenomenological qualitative research method was used to select 11 adult acute leukemia chemotherapy patients for semi-structured interviews. Colaizzi 7-step analysis and NVivo 12.0 were used to summarize information and refine themes.

Results

The main outcomes consisted of two themes and 11 sub-themes: protective factors for family resilience (positive traits, cognitive restructuring, positive family beliefs, organizational flexibility, clear communication, and social support) and risk factors for family resilience (symptom burden, self-concealment, role overload, economic distress, and social alienation).

Conclusions

Health care professionals should pay attention to screening protective and risk factors for family resilience in adult acute leukemia chemotherapy patients, affirming the positive role of internal and external resources available in the family in stressful situations, alleviating patients' negative experiences, and promoting the recovery of family function.

Exploring risk factors and molecular targets in leukemia patients with COVID-19: a bioinformatics analysis of differential gene expression

The molecular mechanism of COVID-19's pathogenic effects in leukemia patients is still poorly known. Our study investigated the possible disease mechanism of COVID-19 and its associated risk factors in patients with leukemia utilizing differential gene expression analysis. We also employed network-based approaches to identify molecular targets that could potentially diagnose and treat COVID-19-infected leukemia patients. Our study demonstrated a shared set of 60 genes that are expressed differentially among patients with leukemia and COVID-19. Most of these genes are expressed in blood and bone marrow tissues and are predominantly implicated in the pathogenesis of different hematologic malignancies, increasingly imperiling COVID-19 morbidity and mortality among the affected patients. Additionally, we also found that COVID-19 may influence the expression of several cancer-associated genes in leukemia patients, such as CCR7, LEF1, and 13 candidate cancer-driver genes. Furthermore, our findings reveal that COVID-19 may predispose leukemia patients to altered blood homeostasis, increase the risk of COVID-19-related liver injury, and deteriorate leukemia-associated injury and patient prognosis. Our findings imply that molecular signatures, like transcription factors, proteins such as TOP21, and 25 different microRNAs, may be potential targets for diagnosing and treating COVID-19-infected leukemia patients. Nevertheless, additional experimental studies will contribute to further validating the study's findings.

NUP214 fusion genes in acute leukemias: genetic characterization of rare cases

Introduction

Alterations of the NUP214 gene (9q34) are recurrent in acute leukemias. Rearrangements of chromosomal band 9q34 targeting this locus can be karyotypically distinct, for example t(6;9)(p22;q34)/DEK::NUP214, or cryptic, in which case no visible change of 9q34 is seen by chromosome banding.

Methods

We examined 9 cases of acute leukemia with NUP214 rearrangement by array Comparative Genomic Hybridization (aCGH), reverse-transcription polymerase chain reaction (RT-PCR), and cycle sequencing/Sanger sequencing to detect which fusion genes had been generated.

Results

The chimeras DEK::NUP214, SET::NUP214, and NUP214::ABL1 were found, only the first of which can be readily detected by karyotyping.

Discussion

The identification of a specific NUP214 rearrangement is fundamental in the management of these patients, i.e., AMLs with DEK::NUP214 are classified as an adverse risk group and might be considered for allogenic transplant. Genome- and/or transcriptome-based next generation sequencing (NGS) techniques can be used to screen for these fusions, but we hereby present an alternative, step-wise procedure to detect these rearrangements.

Survival and predictors of mortality among acute leukemia patients on follow-up in Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia: A 5-year retrospective cohort study

BACKGROUND

Although Ethiopia has more than 78% of leukemia cases and a significant burden of the disease, the survival of leukemia patients in the country is poorly recognized. The purpose of this study was to assess the survival and predictors of acute leukemia patients.

METHODS

A 5-year retrospective cohort study was conducted including all acute Leukemia patients who visited Tikur Anbessa Specialized Hospital between January 2015 and December 2019. Data were retrieved from patient's medical records between March and April 2020. Using SPSS version 25, the Kaplan-Meier curve and Cox regression models were employed to analyze the data.

RESULTS

A total of 119 patients with acute leukemia were retrospectively evaluated for 60 months, having 196 person-years of risk. About 46 deaths (38.7%) were recorded over the follow-up period, giving a mortality incidence rate of 23.5 (95% CL:18-52) per 100 person-years. The median survival time was 35 months (95% CI, 28.3-41.7). At 60 months of follow-up, the predicted overall survival rate after diagnosis for acute leukemia was 21%. The adjusted hazard ratio for acute leukemia subtypes (aHR:4.9, 95% CI:2.3-10.4), history of relapse (aHR:3.9, 95% CI:1.0-7.9), participant age (aHR:1.25, 95% CI:1-1.75), hepatomegaly (aHR:2.7, 95% CI:1.36-5.36), and splenomegaly (aHR:2.29, 95% CI:1.2-4.4).

CONCLUSION

The 5-year overall survival rate was found to be 21%. The finding was remarkably lower than other published reports. Survival among acute leukemia patients was significantly associated with older age, history of relapse, hepatomegaly, splenomegaly, as well as certain subtypes. Therefore, improving early detection and initiation of treatment for all acute leukemia patients is necessary in order to improve patient's survival status.

MicroRNA-34 Family in Cancers: Role, Mechanism, and Therapeutic Potential

MicroRNA (miRNA) are small noncoding RNAs that play vital roles in post-transcriptional gene regulation by inhibiting mRNA translation or promoting mRNA degradation. The dysregulation of miRNA has been implicated in numerous human diseases, including cancers. miR-34 family members (miR-34s), including miR-34a, miR-34b, and miR-34c, have emerged as the most extensively studied tumor-suppressive miRNAs. In this comprehensive review, we aim to provide an overview of the major signaling pathways and gene networks regulated by miR-34s in various cancers and highlight the critical tumor suppressor role of miR-34s. Furthermore, we will discuss the potential of using miR-34 mimics as a novel therapeutic approach against cancer, while also addressing the challenges associated with their development and delivery. It is anticipated that gaining a deeper understanding of the functions and mechanisms of miR-34s in cancer will greatly contribute to the development of effective miR-34-based cancer therapeutics.

External validation of a heart failure risk score in patients with acute myeloid leukemia

A 21-point risk score for heart failure (HF) has been developed for patients with acute myeloid leukemia (AML), stratifying patients into three groups: low, moderate, and high-risk. In this study, 193 patients with AML treated with anthracycline-based therapy were stratified using the risk score, and its prognostic utility for HF events and all-cause mortality at one year of follow-up were evaluated. HF occurred in 18% (34/193) of anthracycline-treated patients. Global longitudinal strain (GLS) was more negative among patients without HF events (-19 ± 3 vs. -17 ± 4%). One year incidence of HF was increased in the higher risk groups: 12% of low-risk, 24% of moderate-risk, and 50% of high-risk (p < 0.001). However, a higher risk score was not associated with an increased risk of all-cause mortality. This study provides external validation of a 21-point risk score for HF events but not all-cause mortality at one year in patients with AML.

Never forsake-The positive experiences of dyadic coping among patients with acute leukemia and their spouses: A qualitative study

PURPOSE

This study aimed to explore the positive experiences of dyadic coping between patients with acute leukemia and their spouses in China, and to highlight the target factors that could promote coping and adaptation.

METHODS

A qualitative descriptive study was employed. This study was conducted at a tertiary hospital in China from September 2021 to February 2022. A purposive sampling method was used to select participants, and 17 patients diagnosed with acute leukemia and their spouses were interviewed. Qualitative data were analyzed using the content analysis method. This study followed the COREQ checklist.

RESULTS

This study's data were categorized into five themes and twelve subthemes: (1) adapting to a new role-couples used role adjustments to adapt; (2) commitment to companionship-patients benefit from spousal commitment in word or in deed; (3) active communication-allows couples to get to know each other better; (4) white lies-shield partner from negative information; (5) seeking external support-outside of couple cohesion. In sum, positive dyadic coping experiences between couples follow the marital commitment of "never forsake."

CONCLUSIONS

This study contributes new knowledge to the understanding of the dyadic coping experiences of patients with acute leukemia and their spouses within the Chinese social-cultural context and contributes to cross-cultural comparisons. The results can be used to design and implement couple-based intervention programs to support couples by enhancing their mutual support to cope with and adjust to acute leukemia effectively.

Effects of a Virtual Reality-Based Meditation Intervention on Anxiety and Depression Among Patients With Acute Leukemia During Induction Chemotherapy: A Randomized Controlled Trial

BACKGROUND

Emerging evidence supports that virtual reality (VR)-based meditation interventions may improve anxiety and depression among patients with cancer. However, empirical studies involving patients with acute leukemia during induction chemotherapy are limited.

OBJECTIVE

This study aimed to examine the effects of VR-based meditation intervention on alleviating anxiety and depression and improving the quality of life among patients with acute leukemia during induction chemotherapy.

METHODS

This randomized controlled trial recruited 63 patients newly diagnosed with acute leukemia. Participants were randomly assigned to an intervention group (received VR-based meditation for 20 min daily for 14 days) and a control group. Anxiety, depression, and quality of life were measured using the State Anxiety Inventory, the Center for Epidemiological Studies Depression Scale, and the Functional Assessment of Cancer Therapy-Leukemia Questionnaire, respectively. All outcomes were measured at baseline and post-intervention.

RESULTS

Compared with patients in the control group, those in the intervention group demonstrated a significantly greater reduction in anxiety (P = .04) and improvement in quality of life (P = .04). However, no significant difference was noted in depression levels between groups (P = .09), although a decreasing trend was observed in the intervention group.

CONCLUSION

Virtual reality-based meditation intervention effectively alleviated anxiety and improved the quality of life among acute leukemia patients during induction chemotherapy. Future randomized controlled trials with larger sample sizes and longer follow-up periods are warranted.

IMPLICATION FOR PRACTICE

Virtual reality-based meditation can be applied in clinical practice virtually anytime and anywhere to provide a convenient intervention for anxiety reduction for acute leukemia patients during induction chemotherapy.

Immunophenotypic characterization of acute leukemias in Bahia, Brazil

OBJECTIVE

To characterize the immunophenotypic profile of acute leukemias in the population of the state of Bahia, Brazil.

METHODS

This is a descriptive, retrospective study. From 2014 to 2018, 796 new cases of acute leukemia were evaluated. The data were obtained from analysis of reports and records of tests performed by flow cytometry immunophenotyping. All individuals of all age groups diagnosed as acute lymphoblastic leukemia or acute myeloid leukemia were included in the study. Demographic variables and expression of leukemia antigens were evaluated.

RESULTS

Most cases were diagnosed as acute myeloid leukemia and 42.7% as acute lymphoblastic leukemia. Significant differences were found in expression of markers in acute leukemias when age groups were compared, as well as in demographic characteristics. B-cell acute lymphoblastic leukemia was more prevalent than cases of T-cell origin. Assessing the aberrant markers in acute myeloid leukemias, the non-acute promyelocytic leukemia group presented expression of CD7 and CD56 as the most frequent ones. In B-cell acute lymphoblastic leukemia, the most frequent aberrant markers were CD66c, CD13 and CD33.

CONCLUSION

Significant differences were found as to several antigens when comparing adults and children, and these findings may contribute to future studies correlating the phenotypic profile to genetic characteristics and therapeutic response, including specific antigen therapies, which may be better targeted.

MMP9-Associated Tumor Stem Cells, CCL1-Silenced Dendritic Cells, and Cytokine-Induced Killer Cells Have a Remarkable Therapeutic Efficacy for Acute Myeloid Leukemia by Activating T Cells

Purpose

Dendritic cells (DC) are specialized antigen-presenting cells, and cytokine-induced killer (CIK) cells have a specific killing activity to a variety of tumors. However, the underlining mechanism and function of DC-CIK cells in acute myeloid leukemia (AML) remain largely elusive.

Methods

Gene expression profiles of leukemia patients were obtained from TCGA, DC cell components were evaluated using the quanTIseq method, and cancer stem cell scores were estimated using machine learning methods. The transcriptomes were obtained in DC-CIK cells from normal and AML patients by high-throughput sequencing. Large differentially expressed mRNAs were verified by RT-qPCR assay, and MMP9 and CCL1 were selected for subsequent studies in vivo and in vitro experiments.

Results

Significant positive correlations were found with DC versus cancer stem cells (p = 0.008) and the expression of MMP9 versus cancer stem cells (p = 0.018). MMP9 and CCL1 were found to be highly expressed in DC-CIK cells from AML patients. DC-CIK cells with MMP9 and CCL1 knockout alone had little effect on leukemia cells, while knockdown of MMP9 and CCL1 in DC-CIK cells increased cytotoxicity, suppressed proliferation, and induced apoptosis of leukemia cells. In addition, we proved that MMP9- and CCL1-silenced DC-CIK cells significantly elevated the CD³⁺CD⁴⁺ and CD³⁺CD⁸⁺ cells and lowered the CD4⁺PD-1⁺ and CD8⁺PD-1⁺ T cells. Meanwhile, blockage of MMP9 and CCL1 in DC-CIK cells dramatically increased IL-2 and IFN-γ, increased CD107aþ (LAMP-1) and granzyme B (GZMB), and downregulated PD-1, CTLA4, TIM3, and LAG3 T cells from AML patients and AML model mice. Furthermore, activated T cells in DC-CIK cells knocking down MMP9 and CCL1 also prevented proliferation and accelerated apoptosis of AML cells.

Conclusion

Our findings demonstrated that blockage of MMP9 and CCL1 in DC-CIK cells could markedly enhance the therapeutic efficiency in AML via activating T cells.

Disseminated intravascular coagulation in a cohort of adult acute leukemia patients: a single center experience

OBJECTIVES

We aimed to detect the incidence of disseminated intravascular coagulation (DIC) in patients with acute leukemia (AL) and find out its association with types of AL and patients' clinical and pathological parameters.

METHODS

In this prospective study, 59 newly diagnosed adults with AL were clinically examined and screened for DIC presentation time. Coagulation tests, including prothrombin time, activated partial thromboplastin time, fibrinogen level, D-dimer, antithrombin, and protein C and protein S levels were all assessed. The International Society for Thrombosis and Hemostasis scoring system was adopted to diagnose overt DIC.

RESULTS

The age of the studied patients ranged from 15 to 81 years with a median of 41 years; male to female ratio was 1.1:1. acute myeloid leukemia (AML) constituted 64.4% of the total cases (38 patients). DIC was detected in 28 patients (47.5%); its incidence was higher in AML than in acute lymphoblastic leukemia (ALL) (52.6% vs. 38.1%). Overt DIC was significantly associated with bleeding manifestations, duration of symptoms, and leukocytosis ( P -values = 0.050, 0.044, and 0.003, respectively). Bleeding events were encountered in 50.8% of patients (25 AML and 5 ALL patients). Bleeding was associated significantly with leukocytosis, thrombocytopenia, and low fibrinogen level. Thrombosis was found in two patients (3.4%) at presentation.

CONCLUSIONS

Overt DIC was common in patients with AL at presentation, mostly in AML. Routine testing for coagulopathy in newly diagnosed AL patients will possibly aid in improving the overall patients' survival.

Bacillamide F, Extracted from Marine Bacillus atrophaeus C89, Preliminary Effects on Leukemia Cell Lines

Developing new treatments for leukemia is essential since current therapies often suffer from drug resistance and toxicity. Bacillamides are very promising, naturally occurring compounds with various bioactivities. In the present study, we investigated the use of bacillamide analogues, a new thiazole alkaloid bacillamide F that was isolated from marine Bacillus atrophaeus C89 associated with sponge Dysidea avara. The structure of the new compound bacillamide F with indolyl−thiazolyl−pyrrolidine ring was determined by high resolution mass spectrometry, secondary mass spectrometry, and nuclear magnetic resonance analyses. Intriguingly, bacillamide F is able to inhibit the proliferation of an acute myeloid leukemia cell line HL60 (IC50 (24 h) 21.82 µM), and an acute T-cell leukemia Jurkat (IC50 (24 h) 46.90 µM), rather than inhibit the proliferation of the acute histiocytic lymphoma U-937 cell line, human fetal lung fibroblast MRC-5 cell line, and some solid tumor cell lines (IC50 (24 h) > 100 µM). The study provides a new indication of the pharmacological activity of natural product bacillamides.

Leukemia can be Effectively Early Predicted in Routine Physical Examination with the Assistance of Machine Learning Models

OBJECTIVES

The diagnosis of leukemia relies very much on the results of bone marrow examinations, which is never generally performed in routine physical examination. In many rural areas even community hospitals and primary care clinics, the lack of hematological specialist and facility does not allow a definite diagnosis of leukemia. Thus, there will be a significant benefit if machine learning (ML) models could help early predict leukemia using preliminary blood test data in a routine physical examination in community hospitals to save time before a definite diagnosis.

METHODS

We collected the routine physical examination data of 1230 newly diagnosed leukemia patients and 1300 healthy people. We trained and tested 3 machine learning (ML) models including linear support vector machine (LSVM), random forest (RF), and XGboost models. We not only examined the accordance between model results and statistical analysis of the input data but also examined the consistency of model accuracy scores and relative importance order of model factors with regard to different input data sets and different model arguments to check the applicability of both the models and the input data.

RESULTS

Generally, the RF and XGboost models give more identical, consistent, and robust relative importance order of factors that is also accordant with the statistical analysis, while the LSVM gives much different and nonsense orders for different inputs. Results of the RF and XGboost models show that (1) generally, the models achieve accuracy scores above 0.9, indicating effective identification of leukemia, and (2) the top three factors that contribute most to the identification of leukemia include red blood cell (RBC), hematocrit (HCT), and white blood cell (WBC), while the other factors contribute relatively less.

CONCLUSIONS

This study shows a feasible case example for early identification of leukemia using routine physical examination data with the assistance of ML models, which can be conveniently, cheaply, and widely applied in community hospitals or primary care clinics to save time before definite diagnosis; however, more studies are still needed to validate the applicability of more ML models to a larger variety of input data sets.

An Integrated Study on the Differential Expression of the FOX Gene Family in Cancer and Their Response to Chemotherapy Drugs

The Forkhead-box (FOX) transcription factors, as one of the largest gene families in humans, play key roles in cancer. Although studies have suggested that several FOX transcription factors have a significant impact on cancer, the functions of most of the FOX genes in cancer remain elusive. In the study, the expression of 43 FOX genes in 63 kinds of cancer diseases (including many subtypes of same cancer) and in response to 60 chemical substances was obtained from the Gene Expression Atlas database of the European Bioinformatics Institute. Based on the high degree of overlap in FOXO family members differentially expressed in various cancers and their particular responses to chemotherapeutic drugs, our data disclosed the FOX genes that played an important role in the development and progression of cancer. More importantly, we predicted the role of one or several combinatorial FOX genes in the diagnosis and prognostic assessment of a specific cancer and evaluated the potential of a certain anticancer drug therapy for this type of cancer by integrating patterns of FOX genes expression with anticancer drugs sensitivity.

Fabrication of Au/Fe3O4/RGO based aptasensor for measurement of miRNA-128, a biomarker for acute lymphoblastic leukemia (ALL)

Due to their high sensitivity, simplicity, portability, self-contained, and low cost, the development of electrochemical biosensors is a beneficial way to diagnose and anticipate many types of cancers. An electrochemical nanocomposite-based aptasensor is fabricated for the determination of miRNA-128 concentration as the acute lymphoblastic leukemia (ALL) biomarker for the first time. The aptamer chains were immobilized on the surface of the glassy carbon electrode (GCE) through gold nanoparticles/magnetite/reduced graphene oxide (AuNPs/Fe3O4/RGO). Fast Fourier transform infrared (FTIR), X-ray diffraction (XRD), vibrating sample magnetometer (VSM), and transmission electron microscopy (TEM) were used to characterize synthesized nanomaterials. Cyclic voltammetry (CV), square wave voltammetry (SWV), and electrochemical impedance spectroscopy (EIS) were used to characterize the modified GCE in both label-free and labeled methods. The results indicate that the modified working electrode has high selectivity and for miRNA-128 over other biomolecules. The hexacyanoferrate redox system typically operated at around 0.3 V (vs. Ag/AgCl), and the methylene blue redox system ran at about 0 V, were used as an electrochemical probe. The detection limit and linear detection range for hexacyanoferrate and methylene blue are 0.05346 fM, 0.1-0.9 fM, and 0.005483 fM, 0.01-0.09 fM, respectively. The stability and diffusion control analyses were performed as well. In both label-free and labeled methods, the modified electron showed high selectivity for miRNA-128. The use of methylene blue as a safer redox mediator caused miRNA-128 to be detected with greater accuracy at low potentials in PBS media. The findings also show the substantial improvement in detection limit and linearity by using reduced graphene oxide-magnetite-gold nanoparticles that can be verified by comparing with previous studies on the detection of other miRNAs.

Abnormal GRHL2 Methylation Confers Malignant Progression to Acute Leukemia

Purpose

Abnormal methylation of Grainyhead-like 2 (GRHL2) is associated with a substantial role in the malignant phenotype of tumor patients. Our present research is aimed at studying the abnormal expression of GRHL2 and the association of methylation in patients with acute leukemia and its relationship with prognosis.

Materials and Methods

We used quantitative real-time polymerase chain reaction (qRT-PCR) for detecting the aberrant expression level of GRHL2 in 60 patients with acute leukemia and 60 normal controls. We analyzed the significant correlation between the expression level of GRHL2 with clinicopathological features and patients' prognosis in acute leukemia using the corresponding statistical methods. Secondly, we employed qRT-PCR and Western blotting to detect the mRNA and protein levels of GRHL2 in leukemia cell lines. Next, we used methylation-specific polymerase chain reaction (MSP) technology for detecting the methylation of GRHL2 in clinical samples with acute leukemia and cell lines. Then we investigated the demethylating effect of arsenic trioxide and 5-azacitidine on the mRNA and protein expression levels of GRHL2 in cell lines of acute leukemia. Finally, we studied the effects of arsenide trioxide and 5-azacitidine on the proliferation of leukemia cells and the TGF-β signaling pathway.

Results

We found a lower level of GRHL2 expression not only in acute leukemia patients but also in cell lines when compared with normal controls. At the same time, the expression level of GRHL2 in patients with acute leukemia was significantly correlated with leukocyte count, platelet count, and cytogenetic risk grouping. In addition, the lower GRHL2 expression group showed a significantly lower overall survival rate in acute leukemia patients than that of patients with a higher GRHL2 expression group. Univariate and multivariate analyses revealed that the expression of GRHL2 is an independent risk factor in acute leukemia patients. The methylation level of the GRHL2 promoter region in acute leukemia patients and cell lines was significantly higher than the normal control group, and we found the elevated mRNA and protein levels of GRHL2 in acute leukemia cell lines after the use of the demethylation drug arsenic trioxide and 5-azacitidine. At the same time, arsenide trioxide and 5-azacitidine are associated with the inhibition of cellular proliferation of acute leukemia cells and also promote the elevated expression of TGF-β signaling pathway-linked proteins, including TGF-β, Smad2, Smad3, and Smad4.

Conclusion

Increased expression and methylation level of GRHL2 are closely associated with the prognosis and malignant phenotype of acute leukemia patients and play an irreplaceable role in the occurrence and development of patients with acute leukemia.

Classification of acute myeloid leukemia M1 and M2 subtypes using machine learning

BACKGROUND

Classification of acute myeloid leukemia (AML) relies on manual analysis of bone marrow or peripheral blood smear images. We aimed to construct a machine learning model for automatic classification of AML-M1 and M2 subtypes in bone marrow smear images.

METHODS

Bone marrow smear images of AML patients were extracted from the Cancer Imaging Archive (TCIA) open database. Classification criteria of AML subtypes were based on the French-American-British (FAB) classification system. Random forest method and broad learning system (BLS) were used to develop the classification model. Morphological features, radiomics features, and clinical features were extracted. The performance of the classification model was evaluated by calculating accuracy, precision, recall, F1-score, and area under the curve (AUC). A total of 50 bone marrow smear images (AML-M1, 31 cases; AML-M2, 19 cases) with 500 slices were included in this study.

RESULTS

A total of 43 morphological features, 276 radiomics features, and 1 clinical feature were extracted. Finally, 9 variables including 2 morphological features, 6 radiomics features, and 1 clinical feature were selected into the classification model. The best classification performance was observed in the random forest model with 9 variables, with the average accuracy, AUC, F1-score, recall, and precision of the model being 0.998 ± 0.003, 0.998 ± 0.004, 0.998 ± 0.004, 0.996 ± 0.009, and 1 ± 0, respectively.

CONCLUSION

The random forest model performed well for the classification of AML-M1 and M2, which may provide a tool for clinicians to classify AML-M1 and M2.

Serum Metabolomics Coupling With Clinical Laboratory Indicators Reveal Taxonomic Features of Leukemia

Metabolic abnormality has been considered to be the seventh characteristic in cancer cells. The potential prospect of using serum biomarkers metabolites to differentiate ALL from AML remains unclear. The purpose of our study is to probe whether the differences in metabolomics are related to clinical laboratory-related indicators. We used LC-MS-based metabolomics analysis to study 50 peripheral blood samples of leukemia patients from a single center. Then Chi-square test and T test were used to analyze the clinical characteristics, laboratory indicators and cytokines of 50 patients with leukemia. Correlation analysis was used to explore the relationship between them and the differential metabolites of different types of leukemia. Our study shows that it is feasible to better identify serum metabolic differences in different types and states of leukemia by metabolomic analysis on existing clinical diagnostic techniques. The metabolism of choline and betaine may also be significantly related to the patient’s blood lipid profile. The main enrichment pathways for distinguishing differential metabolites in different types of leukemia are amino acid metabolism and fatty acid metabolism. All these findings suggested that differential metabolites and lipid profiles might identify different types of leukemia based on existing clinical diagnostic techniques, and their rich metabolic pathways help us to better understand the physiological characteristics of leukemia.

Regulatory mechanism of miR-20a-5p expression in Cancer

MicroRNAs(miRNAs) are non-coding single-stranded RNA molecules encoded by endogenous genes with a length of about 22 nucleotides. The dysregulation of miRNAs has been proven to be one of the vital causes of cancer, which makes them a biomarker for cancer diagnosis and prognosis. Compared with surgery and chemotherapy, nucleic acid therapy targeting specific miRNAs is a promising candidate for cancer treatment. miR-20a-5p plays an anticancer role in high-incidence human cancers such as cervical cancer, breast cancer and leukemia, which is of great importance in the diagnosis of cancers. The up-regulation and down-regulation of miR-20a-5p offers a possible breakthrough for the treatment of cancers. In this paper, we aim to investigate the functional significance of miR-20a-5p in different cancers, reviewing the expression differences of miR-20a-5p in cancer, while systematically summarizing the changes of circRNA-miR-20a-5p networks, and probe how it promotes messenger RNA (mRNA) degradation or inhibits mRNA translation to regulate downstream gene expression. We've also summarized the biogenesis mechanism of miRNAs, and emphasized its role in cell proliferation, cell apoptosis and cell migration. On this basis, we believe that miR-20a-5p is a promising and effective marker for cancer diagnosis, prognosis and treatment.

Chemotherapy induces plasmatic antioxidant changes in pediatric patients with acute lymphoid leukemia B that correlate to disease prognosis

Pediatric acute lymphoid leukemias (ALL) is the most common childhood cancer, and cytotoxic chemotherapy remains the primary treatment option. Chemotherapic drugs act by oxidative stress generation, but their clinical meaning is poorly understood. During the chemotherapy schedule, this study evaluated the antioxidant profile of peripheral blood samples from 34 patients diagnosed with type B-cell ALL (B-ALL). Peripheral blood samples were collected at diagnosis (D0) and during the induction, consolidation, and maintenance phases. The plasma total antioxidant capacity (TRAP) was determined using the high-sensitivity chemiluminescence technique. Antioxidant levels were higher on D0 compared to day 7 after treatment starting (D7) in the induction phase (28.68–1194.71 μM Trolox, p = 0.0178) and in the high-risk group (age > ten years and/or with white blood cell counts and/or > 50,000 white blood cells/m3 at diagnosis) concerning low-risk patients (253.79–1194.71 μM Trolox, p = 0.0314). Reduced TRAP was also detected in patients who died compared to those who survived (392.42–1194.71 μM Trolox, p = 0.0278). Patients under consolidation (56.14–352.05 μM Trolox, p=<0.0001) and maintenance (30.48–672.99 μM Trolox, p=<0.0001) showed a significant reduction in TRAP levels compared to those from the induction phase (28.68–1390.26 μM Trolox), reaching levels similar to cured patients out of treatment (64.82–437.82 μM Trolox). These findings suggest that the variation of the total antioxidant capacity in B-ALL during chemotherapy is a parameter that correlates to some predictors of disease prognosis.

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ALL is the most common neoplasia in children.

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Oxidative stress is reported in ALL patients, but the relationship between antioxidants and disease profile is unknown.

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Changes in blood antioxidants during chemotherapy correlates to survival and risk stratification in childhood ALL.

Effects of a WeChat-based multimodal psychoeducational intervention on psychological well-being and quality of life in acute leukaemia patients in China: a randomised controlled trial

PURPOSE

The treatment and side effects of chemotherapy for acute leukaemia (AL) may cause both physical and psychological symptoms in patients. This study evaluated the effects of a WeChat-based multimodal psychoeducational intervention (ICARE programme) on fatigue, distress, anxiety, depression, and quality of life (QoL) among adult AL patients.

METHODS

In total, 72 participants were randomly assigned either to an intervention or control group (n = 36), respectively, from two large tertiary hospitals in Fuzhou, China (from April to December 2019). Data were collected at baseline, post-intervention, and after a 4-week follow-up using the Brief Fatigue Inventory, Distress Thermometer, Hospital Anxiety and Depression Scale, and Functional Assessment of Cancer Therapy-leukaemia. Descriptive statistics was used to summarise the sociodemographic and clinical characteristics of the participants and a linear mixed model was used to analyse the score changes.

RESULTS

Between the two groups, there were statistically significant improvements in fatigue, distress, anxiety, depression, physical well-being, social/family well-being, emotional well-being, functional well-being (all p < 0.001), and leukaemia-specific subscale (p = 0.001). The difference over time was significant for leukaemia-specific subscale and fatigue, both (p < 0.001), anxiety (p = 0.001), and social/family well-being (p = 0.005). The interaction effects were significant for fatigue, distress, anxiety, physical well-being, social/family well-being, and emotional well-being, all (p < 0.001), depression (p = 0.019), leukaemia-specific subscale (p = 0.008), and total QoL score (p = 0.004).

CONCLUSION

WeChat-based multimodal psychoeducational intervention demonstrated a significant effect in reducing fatigue, distress, anxiety, depression, and QoL in AL patients. This ICARE programme contributed to continuing care to support AL patients.

IMPLICATIONS FOR CANCER SURVIVORS

The ICARE programme can improve the mental health and QoL of AL patients. The application of WeChat-based psychoeducational interventions have significant potential to benefit cancer patients due to their reach and can be an added value to routine care.

Circular RNA ATAD1 is upregulated in acute myeloid leukemia and promotes cancer cell proliferation by downregulating miR-34b via promoter methylation

A previous study has reported the oncogenic role of circular RNA (circ)-ATAD1 in gastric cancer. The aim of the present study was to investigate the role of circ-ATAD1 in acute myeloid leukemia (AML). Bone marrow mononuclear cells were collected from 60 patients with AML and 60 healthy controls, followed by RNA isolation and reverse transcription-quantitative PCR to assess the expression of circ-ATAD1 and microRNA (miR)-34b. A subcellular fractionation assay was used to determine the subcellular location of circ-ATAD1 in AML cells. Furthermore, circ-ATAD1 and miR-34b were overexpressed in AML cells to study crosstalk between the two molecules. The effect of circ-ATAD1 overexpression on miR-34b gene methylation was also analyzed by methylation-specific PCR, and the roles of circ-ATAD1 and miR-34b in the regulation of AML cell proliferation were analyzed by BrdU assay. circ-ATAD1 expression was found to be elevated, and inversely correlated with that of miR-34b, in patients with AML. Subcellular fractionation assays showed that circ-ATAD1 was specifically expressed in the nucleus. In addition, circ-ATAD1 overexpression in AML cells decreased miR-34b expression and increased miR-34b gene methylation. Moreover, AML cell proliferation was increased by circ-ATAD1 overexpression, but decreased by miR-34b overexpression, and the effect of circ-ATAD1 overexpression on AML cell proliferation was reduced by miR-34b overexpression. Together, these results indicate circ-ATAD1 as a nucleus-specific circRNA in AML, which promotes AML cell proliferation by downregulating miR-34b via methylation.

MicroRNA-221 regulates cell activity and apoptosis in acute lymphoblastic leukemia via regulating PTEN

T cell acute lymphoblastic leukemia (T-ALL), an aggressive and heterogeneous malignancy originating from T cell precursors (thymocytes), accounts for ~15% of all ALL cases in children and for ~25% in adults. The present study aimed to investigate the role of microRNA-221 (miR-221) in the regulation of cell viability and apoptosis of human T-ALL cells and its related regulatory mechanisms. To perform this investigation, miR-221 was upregulated or knocked down in human T-ALL cells (Jurkat cells) using miR-221 mimic or inhibitor, respectively. Then, cell viability was determined using a 3-(4,5-dimethylthiahiazol-2-y1)-2,5-diphenytetrazolium bromide assay, cell invasion and migration were analyzed via Transwell assays, and cell apoptosis was detected using flow cytometry. It was found that transfection with a miR-221 inhibitor significantly inhibited Jurkat cell viability, migration and invasion, and induced Jurkat cell apoptosis. Whereas, transfection with the miR-221 mimic resulted in the opposite effects. Besides, the results showed that phosphatase and tensin homologue deleted on chromosome 10 (PTEN) was a target of miR-221. Moreover, it was observed that the effects of the miR-221 inhibitor on Jurkat cell viability, migration and invasion, and cell apoptosis were significantly eliminated by PTEN-small interfering RNA. In addition, it was shown that the phosphatidylinositol 3-kinase/AKT pathway was involved in the effect of miR-221 on Jurkat cells. In conclusion, the data indicated that miR-221 existed as an oncogene in T-ALL, and its downregulation could inhibit the development of ALL by targeting PTEN. Therefore, miR-221 may be a novel potential therapeutic target for ALL.

Acute Myeloid Leukemia Developing with Acute Pancreatitis Mimicking Autoimmune Pancreatitis

A 33-year-old man was admitted to our hospital for fever and abdominal pain. A blood analysis revealed pancytopenia and increased serum pancreatic enzymes with disseminated intravascular coagulation. A detailed examination revealed acute pancreatitis, with diffuse swelling of the pancreas and diffuse beaded dilatation of the main pancreatic duct, which mimicked autoimmune pancreatitis complicated by acute myeloid leukemia. Systemic cytotoxic chemotherapy led to the remission of leukemia and pancreatitis. We hypothesized that the etiology of acute pancreatitis was invasion of leukemia cells. Acute pancreatitis is rare as a symptom of leukemia; however, we should consider the possibility of leukemia during the differential diagnosis of acute pancreatitis.

Hirsutanol A inhibits T-acute lymphocytic leukemia Jurkat cell viability through cell cycle arrest and p53-dependent induction of apoptosis

Acute lymphocytic leukemia (ALL) is a type of childhood leukemia with the highest incidence; T-acute lymphocytic leukemia (T-ALL) is far more difficult to treat than B-acute lymphocytic leukemia (B-ALL) and has a poor long-term prognosis. Therefore, there is an urgent requirement to develop effective drugs for the treatment of T-ALL. Hirsutanol A is a natural sesquiterpenoid compound. The aim of the present study was to evaluate the in vitro anticancer activity of hirsutanol A against T-acute lymphocytic leukemia Jurkat cells and investigate the mechanism of action. A Cell Counting Kit-8 assay demonstrated that hirsutanol A inhibited the viability of Jurkat cells in a dose- and time-dependent manner. In addition, hirsutanol A induced cell cycle arrest at the G₂ phase as determined via flow cytometry. Furthermore, Hoechst staining, Annexin V-FITC/propidium iodide double staining, mitochondrial membrane potential detection using JC-1 and western blot analysis of apoptotic proteins indicated that the inhibitory effect of hirsutanol A on Jurkat cells was associated with the induction of apoptosis. Of note, hirsutanol A induced the expression of the tumor suppressor p53, whereas simultaneous treatment with pifithrin-α, an inhibitor of p53, significantly reduced Jurkat cell apoptosis induced by hirsutanol A. In summary, the present study suggested that hirsutanol A inhibited Jurkat cell viability through induction of cell cycle arrest and p53-dependent initiation of apoptosis, thus hirsutanol may serve as a promising compound for the treatment of T-ALL.

Tyrosine kinase inhibitors and their unique therapeutic potentialities to combat cancer

Cancer is one of the leading causes of death with a mortality rate of 12%. Although significant progress has been achieved in cancer research, the effective treatment of cancer remains the greatest global challenge in medicine. Dysregulation of tyrosine kinases (TK) is one of the characteristics of several types of cancers. Thus, drugs that target and inhibit these enzymes, known as TK inhibitors (TKIs), are considered vital chemotherapeutics to combat various types of cancer. The oral bioavailability of available TKIs and their targeted therapy are their potential benefits. Based on these characteristics, most TKIs are included in first/second-line therapy for the treatment of different cancers. This review aims to shed light on orally-active TKIs (natural and synthetic molecules) and their promising implication in the therapy of numerous types of tumors along with their mechanisms of action. Further, recent progress in the development of synthetic and isolation of natural TKIs is reviewed. A significant growth in research regarding the development of new-generation TKIs is made with time (23 FDA-approved TKIs from 2018) due to their better therapeutic response. Oral bioavailability should be considered as an important parameter while developing of new-generation TKIs; however, drug delivery systems can also be used to address issue of poor bioavailability to a certain extent. Moreover, clinical trials should be designed in consideration of the development of resistance and tumor heterogeneity.

Cytotoxic components from the leaves of Erythrophleum fordii induce human acute leukemia cell apoptosis through caspase 3 activation and PARP cleavage

Cassaine diterpenoids as erythrofordins A-C (1-3), pseudo-erythrosuamin (4), and erythrofordin U (5) isolated from the leaves of Vietnamese Erythrophleum fordii Oliver were tested cytotoxic activity against human leukemia cancer cells. The results showed that these metabolites exhibited dose-dependent cytotoxicity against human leukemia HL-60 and KG cells with IC₅₀ values ranging from 15.2 ± 1.5 to 42.2 ± 3.6 µM. Treatment with erythrofordin B led to the apoptosis of HL-60 and KG cells due to the activation of caspase 3, caspase 9, and poly (ADP-ribose) polymerase (PARP). Erythrofordin B significantly increased Bak protein expression, but downregulated the anti-apoptotic protein Bcl-2, in HL-60 cells. In silico results demonstrated that erythrofordin B can bind to both the procaspase-3 allosteric site and the PARP-1 active site, with binding energies of -7.36 and -10.76 kcal/mol, respectively. These results indicated that the leaves of Vietnamese E. fordii, which contain cassaine diterpenoids, can induce the apoptosis of human leukemia cancer cells.

Cassaine Diterpenoid Amide from Stem Bark of Erythrophleum fordii Suppresses Cytotoxic and Induces Apoptosis of Human Leukemia Cells

Cassaine diterpenoids amides from the stem bark of Vietnamese Erythrophleum fordii Oliver were screened for their cytotoxic activity against human cancer cells. The cell proliferation assay results showed that, among the active compounds, 3β-acetyl-nor-erythrophlamide (3AEP) exhibited the most potential cytotoxicity against human leukemia HL-60 and KG cells with IC₅₀ values of 12.0 ± 1.2 and 18.1 ± 2.7 µM, respectively. Treatment of 3AEP resulted in the apoptosis of HL-60 cells via the activation of caspase 3, and poly (ADP-ribose) polymerase (PARP). Molecular docking in silico results showed that the 3AEP can bind to both the procaspase-3 allosteric site and the PARP-1 active site, with binding energies of −7.51 and −9.63 kcal/mol respectively. These results indicated that the stem bark of Vietnamese E. fordii and its cassaine diterpenoid amides may be useful in the apoptosis induction of human leukemia cancer cells.

Hyperuricemia might be an early manifestation of undiagnosed adult leukemia in a population-based cohort study

Background/objective

No published population-based study investigates the association between hyperuricemia and undiagnosed adult leukemia in Taiwan. The aim of the study was to investigate whether hyperuricemia might be an early manifestation of undiagnosed adult leukemia in Taiwan.

Methods

A population-based cohort study was conducted to analyze the database of the Taiwan National Health Insurance Program. There were 47708 subjects aged 20 to 84 years with newly diagnosed hyperuricemia as the hyperuricemia group from 2000 to 2013, and 190832 randomly selected subjects without hyperuricemia as the non-hyperuricemia group. The hyperuricemia group and the non-hyperuricemia group were followed for one year to estimate the incidence of new diagnosis of leukemia.

Results

The overall incidence of leukemia was 1.32-fold higher in the hyperuricemia group than the non-hyperuricemia group (0.74 versus 0.55 per 10000 person-months, 95% confidence interval 1.28-1.37). The incidence rate ratio of leukemia was statistically higher in the first 3 months of hyperuricemia diagnosis (incidence rate ratio 4.05).

Conclusion

Adults with hyperuricemia have a higher incidence of being diagnosed with leukemia than those without hyperuricemia. Hyperuricemia might be an early manifestation of undiagnosed adult leukemia. Clinicians should check the complete blood count with differential to detect the possibility of leukemia when adults present with hyperuricemia.

Factors associated with quality of life of adult patients with acute leukemia and their family caregivers in China: a cross-sectional study

Background

Acute leukemia (AL) not only impairs the quality of life (QOL) of patients, but also affects that of their family caregivers (FCs). Studies on QOL of AL patients and their FCs are limited. This study aimed to evaluate the QOL of AL patients and their FCs, and to explore the factors associated with QOL of patients and of FCs.

Methods

A multicenter cross-sectional study was conducted. The QOL of 196 patient–FC dyads was assessed. The Functional Assessment of Cancer Therapy-Leukemia (FACT-Leu) was used for patients, and the 36-item Short-Form Health Survey (SF-36) was used for FCs. Independent-samples t-tests or one-way analysis of variance were used to compare QOL subscale scores between groups with different sociodemographic/clinical characteristics. Multiple regression analysis was conducted to identify the factors associated with QOL of AL patients and their FCs.

Results

The total FACT-Leu score for AL patients was 76.80 ± 16.44, and the physical component summary (PCS) and mental component summary (MCS) scores for FCs were 64.67 ± 15.44 and 52.50 ± 13.49, respectively. All QOL subscales for patients (t = 12.96–34.73, p < 0.001) and FCs (t = 2.55–14.36, p < 0.05), except role emotional (t = − 0.01, p = 0.993), were lower than those reported in previous studies. Sex, employment, and chemotherapy were significantly associated with total FACT-Leu score in AL patients (p < 0.05). Age, sex, marital status, education, employment, and relationship to patients were significantly associated with SF-36 PCS or MCS (p < 0.05).

Conclusions

AL patients and their FCs both have lower QOL than the population in previous studies. These findings suggest that not only AL patients’ physical and mental health but also overall family QOL should be assessed. Interventions supporting patient–FC dyads should be developed to improve their QOL.

Consensus in Identification and Stability of Symptom Clusters Using Different Symptom Dimensions in Newly Diagnosed Acute Myeloid Leukemia Patients Undergoing Induction Therapy

CONTEXT

An unresolved issue in symptom cluster (SC) research is that the numbers and types of SCs vary based on the multiple dimensions of the experienced symptoms that are used for SC identification.

OBJECTIVE

This study aimed to identify SCs using the ratings of occurrence, severity, and distress in newly diagnosed acute myeloid leukemia (AML) patients at three stages of their induction therapy (i.e., T1, T2, and T3). Then, we evaluated the consensus among the numbers and types of symptoms in each SC identified by multiple dimensions over time.

METHOD

The Chinese version of the Memorial Symptom Assessment Scale was used to evaluate the occurrence, severity, and distress ratings of 32 symptoms in patients newly diagnosed with AML during their induction therapy. Exploratory factor analysis was used for SCs identification.

RESULTS

Using the three dimensions in the AML patients (n = 126), four SCs were identified at T1 and T3 and three SCs were identified at T2. The number of symptoms in individual SCs varied over time, whereas the specific symptoms in SCs remained similar over time. The severity ratings fit the data better than did the ratings of occurrence and distress.

CONCLUSION

These findings provided insights into the most common SCs in AML patients undergoing induction therapy by multidimensional evaluation and could lay the foundation for future targeted symptom interventions. Further studies are needed to explore the mechanisms of SCs in AML patients undergoing the chemotherapy.

Long non-coding RNA SNHG16 has Tumor suppressing effect in acute lymphoblastic leukemia by inverse interaction on hsa-miR-124-3p

Acute lymphoblastic leukemia (ALL) is one of the deadly forms of childhood cancers in the world. In the present study, we used both in vitro and in vivo models to evaluate the functional mechanisms of a long noncoding RNA (lncRNA), small nucleolar RNA host gene 16 (SNHG16) in ALL. SNHG16 gene expression was evaluated by quantitative real-time PCR (qPCR) in both in vitro ALL cell lines and in vivo human samples of T lymphocytes. Lentivirus-mediated SNHG16 downregulation was performed in MOLT3 and SUP-B15 cells, to evaluate its functional effects on ALL cell proliferation, migration in vitro, and ALL transplant in vivo. Epigenetic regulation of SNHG16 on human miR-124-3p (hsa-miR-124-3p) was evaluated by dual-luciferase activity assay and qPCR. Hsa-miR-124-3p was inhibited in SNHG16-downregulated MOLT3 and SUP-B15 cells to further evaluate the functional correlation between SNHG16 and hsa-miR-124-3p in ALL. SNHG16 is upregulated in both in vitro ALL cell lines and in vivo human leukemic T-cells. SNHG16 downregulation suppressed ALL proliferation and migration in vitro, and ALL explant in vivo. Hsa-miR-124-3p was demonstrated to interact with SNHG16, and upregulated in SNHG16-downregulated ALL cells. In addition, inhibiting hsa-miR-124-3p reversed SNHG16-downregulation-mediated tumor suppressive functions in ALL. SNHG16 is upregulated in ALL, and its inhibition has tumor suppressive effect in ALL, likely through epigenetic interaction on hsa-miR-124-3p. © 2018 IUBMB Life, 71(1):134-142, 2019.

MicroRNA-9 suppresses cancer proliferation and cell cycle progression in acute lymphoblastic leukemia with inverse association of neuropilin-1

Acute lymphoblastic leukemia (ALL) is one of the most common and most malign childhood cancers. In this work, we investigated the expression and function of human mature microRNA-9 (miR-9) in ALL. In ALL in vitro cell lines and in situ clinical specimens, gene expression of miR-9 was tested by qRT-PCR. MiR-9 was overexpressed in CEM/C1 and Molt-3 cells to investigate its possible anti-cancer effects on ALL in vitro proliferation, cell-cycle progression, and in vivo explant growth. The possible downstream target of miR-9, neuropilin-1 (NRP1), was examined by dual-luciferase activity assay, qRT-PCR, and Western blot. NRP1was upregulated in miR-9-overexpressed CEM/C1 and Molt-3 cells to investigate the functional involvement of NRP1 in miR-9-mediated regulation on ALL in vitro proliferation and cell-cycle progression. MiR-9 was downregulated in ALL cell lines and leukemic T-cells of ALL patients. Lentivirus-mediated miR-9 overexpression inhibited ALL in vitro proliferation, cell-cycle progression, and in vivo explant growth. NRP1 was confirmed be the downstream target of miR-9, and inversely modulated by miR-9 in ALL. NRP1 upregulation reversed the anti-cancer regulations of miR-9 on ALL in vitro proliferation and cell-cycle progression. MiR-9 is downregulated in ALL. Overexpressing miR-9 may inhibit ALL development, possible through its downstream target of NRP1.