Artificial intelligence reveals the predictions of hematological indexes in children with acute leukemia.

Childhood leukemia is a prevalent form of pediatric cancer, with acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML) being the primary manifestations. Timely treatment has significantly enhanced survival rates for children with acute leukemia. This study aimed to develop an early and comprehensive predictor for hematologic malignancies in children by analyzing nutritional biomarkers, key leukemia indicators, and granulocytes in their blood. Using a machine learning algorithm and ten indices, the blood samples of 826 children with ALL and 255 children with AML were compared to a control group of 200 healthy children. The study revealed notable differences, including higher indicators in boys compared to girls and significant variations in most biochemical indicators between leukemia patients and healthy children. Employing a random forest model resulted in an area under the curve (AUC) of 0.950 for predicting leukemia subtypes and an AUC of 0.909 for forecasting AML. This research introduces an efficient diagnostic tool for early screening of childhood blood cancers and underscores the potential of artificial intelligence in modern healthcare.

Micro-costing of genetic diagnostics in acute leukemia in Sweden: from standard-of-care to whole-genome sequencing.

AIMS AND BACKGROUND: Whole-genome sequencing (WGS) is increasingly applied in clinical practice and expected to replace standard-of-care (SoC) genetic diagnostics in hematological malignancies. This study aims to assess and compare the fully burdened cost ('micro-costing') per patient for Swedish laboratories using WGS and SoC, respectively, in pediatric and adult patients with acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML). METHODS: The resource use and cost details associated with SoC, e.g. chromosome banding analysis, fluorescent in situ hybridization, and targeted sequencing analysis, were collected via activity-based costing methods from four diagnostic laboratories. For WGS, corresponding data was collected from two of the centers. A simulation-based scenario model was developed for analyzing the WGS cost based on different annual sample throughput to evaluate economy of scale. RESULTS: The average SoC total cost per patient was €2,465 for pediatric AML and €2,201 for pediatric ALL, while in adults, the corresponding cost was €2,458 for AML and €1,207 for ALL. The average WGS cost (90x tumor/30x normal; sequenced on the Illumina NovaSeq 6000 platform) was estimated to €3,472 based on an annual throughput of 2,500 analyses, however, with an annual volume of 7,500 analyses the average cost would decrease by 23% to €2,671. CONCLUSION: In summary, WGS is currently more costly than SoC, however the cost can be reduced by utilizing laboratories with higher throughput and by the expected decline in cost of reagents. Our data provides guidance to decision-makers for the resource allocation needed when implementing WGS in diagnostics of hematological malignancies.

[Type of CEBPA mutations in acute myeloid leukemia and their effect on prognosis].

Objective: To demonstrate the type of CEBPA gene mutations among patients with acute myeloid leukemia (AML), clinical characteristics, and prognostic effect on patient outcomes. Methods: Demographic data, clinical features, laboratory characteristics, and data about treatment and follow-up of 57 patients with CEBPA mutated AML diagnosed at Peking Union Medical College Hospital between April 2016 and November 2022 were collected and analyzed. Results: In total, 57 patients with CEBPA mutation accounted for 16.1% of all the 353 patients with AML, among which 28 patients had CEBPA-bZIPinf and 29 had CEBPA-other. Compared with the CEBPA-other group, the CEBPA-bZIPinf group was younger (54 vs 64 years, P=0.010), de novo AML was more common (P=0.001), and the level of bone marrow blast was higher (68.0% vs 36.3%, P=0.001). Moreover, 24 patients from the CEBPA-bZIPinf group and 19 from the CEBPA-other group received chemotherapy. The one-course complete remission (CR) rate of the CEBPA-bZIPinf group was significantly higher than that of the CEBPA-other (87.5% vs 47.4%, P=0.010) and CEBPA-wt (87.5% vs 50.3%, P=0.002) groups. After a median follow-up of 11 months, the median OS of the CEBPA-bZIPinf group was significantly longer than that of the CEBPA-wt group (not reached vs 22.1 months, P=0.012) . Conclusion: CEBPA-bZIPinf mutated AML is a unique clinical entity, with a younger age of diagnosis, better response to chemotherapy, and better prognosis.

Identification of Novel Potential Predisposing Variants in Familial Acute Myeloid Leukemia.

BACKGROUND: Myeloid neoplasms, including acute myeloid leukemia, have been traditionally among the less investigated cancer types concerning germline predisposition. Indeed, myeloid neoplasms with germline predisposition are challenging to identify because often display similar clinical and morphological characteristics of sporadic cases and have similar age at diagnosis. However, a misidentifications of familiarity in myeloid neoplasms have a critical impact on clinical management both for the carriers and their relatives. AIMS: We conducted a family segregation study, in order to identify novel cancer predisposing genes in myeloid neoplasms and classify novel identified variants. METHODS AND RESULTS: We performed a thorough genomic analysis using a large custom gene panel (256 genes), the Myelo-Panel, targeted on cancer predisposing genes. In particular, we assessed both germline and somatic variants in four families, each with two siblings, who developed hematological neoplasms: seven acute myeloid leukemia and one Philadelphia-positive chronic myeloid leukemia. In each family, we identified at least one novel potentially predisposing variant, affecting also genes not included in the current European LeukemiaNet guidelines for AML management. Moreover, we suggest reclassification of two germline variants as pathogenic: likely pathogenic p.S21Tfs*139 in CEPBA and VUS p.K392Afs*66 in DDX41. CONCLUSION: We believe that predisposition to hematological neoplasms is still underestimated and particularly difficult to diagnosed. Considering that misidentification of familiarity in myeloid neoplasms have a critical impact on the clinical management both for the carriers and their relatives, our study highlights the importance of revision, in this clinical context, of clinical practices that should include thorough reconstruction of family history and in-depth genetic testing.

Acute myeloid leukemia with gastric carcinoma: A case report of a double malignancy.

RATIONALE: Multiple primary cancers (MPC) are malignant tumors that manifest as multiple primary tumors diagnosed in the same patient, either simultaneously or sequentially. Billroth first proposed the concept in 1889. Here, we report a rare case of untreated acute myeloid leukemia (AML) and adenocarcinoma of the cardia. PATIENT CONCERNS: A 58-year-old male with muscle and joint pain for >1 month was admitted to the hospital with severe chest pain for 3 hours on July 14, 2023. The patient had chest tightness, shortness of breath, and dyspnea. The skin, mucosa, and lips of the patient were slightly pale and the sternum had mild tenderness. Other systemic examinations did not reveal any obvious abnormalities. The results of routine blood tests on admission were as follows: white blood cells, 7.46 × 109/L; red blood cells, 2.32 × 1012/L; hemoglobin, 90 g/L; and platelets, 62 × 109/L. DIAGNOSIS: The patient was diagnosed with acute myeloid leukemia (FLT3, DNMT3A, U2AF1, and SMC3 mutations; KMT2A amplification; high-risk) and adenocarcinoma of the cardia. INTERVENTIONS: The patient was treated with azacitidine + Veneckla chemotherapy, and through precise regulation, the patient survived the period of bone marrow suppression. He was unable to achieve complete relief and finally underwent allogeneic hematopoietic stem cell transplantation in February 2024. OUTCOMES: Bone marrow cytology and minimal residual disease analysis indicated complete relief on April 22, 2024, with the bone marrow exhibiting complete chimerism (99.63%). The patient and his family members decided to seize the opportunity to perform radical surgical treatment for gastric cancer on May 16, 2024. LESSONS: The development of medicine, especially in oncology, has led to an increased possibility of developing multiple cancers. Clinically, some doctors may not be aware of the existence of multiple primary cancers, especially simultaneous carcinomas, which can be easily missed or misdiagnosed.

The profile and prognostic significance of bone marrow T-cell differentiation subsets in adult AML at diagnosis.

Background: T lymphocytes in tumor microenvironment play a pivotal role in the anti-tumor immunity, and the memory of T cells contributes to the long-term protection against tumor antigens. Compared to solid tumors, studies focusing on the T-cell differentiation in the acute myeloid leukemia (AML) bone marrow (BM) microenvironment remain limited. Patients and methods: Fresh BM specimens collected from 103 adult AML patients at diagnosis and 12 healthy donors (HDs) were tested T-cell differentiation subsets by multi-parameter flow cytometry. Results: CD4 and CD8 T-cell compartments had different constituted profiles of T-cell differentiated subsets, which was similar between AML patients and HDs. Compared to HDs, AML patients as a whole had a significantly higher proportion of CD8 effector T cells (Teff, P = 0.048). Moreover, the T-cell compartment of AML patients with no DNMT3A mutations skewed toward terminal differentiation at the expense of memory T cells (CD4 Teff: P = 0.034; CD8 Teff: P = 0.030; CD8 memory T: P = 0.017), whereas those with mutated DNMT3A had a decrease in CD8 naïve T (Tn) and CD4 effector memory T cells (Tem) as well as an increase in CD4 central memory T cells (Tcm) (P = 0.037, 0.053 and 0.053). Adverse ELN genetic risk correlated with a lower proportion of CD8 Tn. In addition, the low proportions of CD4 Tem and CD8 Tn independently predicted poorer relapse-free survival (RFS, HR [95%CI]: 5.7 (1.4-22.2), P = 0.017 and 4.8 [1.3-17.4], P = 0.013) and event-free survival (EFS, HR [95% CI]: 3.3 (1.1-9.5), P = 0.029; 4.0 (1.4-11.5), P = 0.010), respectively. Conclusions: AML patients had abnormal profiles of BM T-cell differentiation subsets at diagnosis, which was related to DNMT3A mutations. The low proportions of CD4 Tem and CD8 Tn predicted poor outcomes.

TRANSFORMATION OF MYELODYSPLASTIC SYNDROME INTO ACUTE MYELOBLASTIC LEUKEMIA (CLINICAL CASE).

Despite the availability of modern methods for diagnosing and treating myelodysplastic syndrome (MDS) in the arsenal of a hematologist, even with an adequate treatment strategy, it is not always possible to predict the timing of transformation of the disease into acute myeloid leukemia. The clinical case we presented demonstrates the rapid transformation of MDS into acute myeloid leukemia in a relatively young patient whose prognosis turned out to be poorly predictable despite a change in therapy.

High expression of EBP is an adverse prognostic factor for de novo acute myeloid leukemia.

BACKGROUND: Acute myeloid leukemia (AML) is a heterogeneous disease, for which identifying reliable prognostic markers is critical for accurate clinical prognosis and treatment optimization. The inhibition of emopamil-binding protein gene (EBP) expression has been demonstrated to induce cancer cell death via depleting downstream sterols. Nevertheless, no comprehensive studies have been conducted specifically in tumors, including AML. METHOD: Herein, survival analyses were performed on the dataset obtained from The Cancer Genome Atlas (TCGA). Besides, the EBP levels were quantified using real-time qPCR in a cohort of 120 AML patients, and the value of EBP was further assessed using our clinical data. RESULTS: Patients with high EBP expression had worse overall survival (OS) and event-free survival (EFS) than patients with low EBP expression, both in the TCGA dataset and our clinical data. Additionally, white blood cell (WBC) counts were higher in patients with high EBP expression (P = 0.032). Moreover, in patients with intermediate-risk AML, it was discovered that elevated EBP expression was linked to a worse EFS (P = 0.038). Multivariate analysis demonstrated that high EBP expression was an independent prognostic factor in AML patients and was associated with a shorter OS and EFS (OS: P = 0.041; EFS: P = 0.017). Furthermore, the data revealed that transplantation in the high-EBP group led to an improvement in survival (OS: P = 0.001; EFS: P = 0.001). The same benefit was also observed in intermediate-risk AML patients (OS: P = 0.026; EFS: P = 0.026). CONCLUSION: Collectively, our findings indicated that high expression of EBP in AML patients was an adverse prognostic factor, but transplantation had the otential to alleviate its negative effects.

NAD metabolism-related genes provide prognostic value and potential therapeutic insights for acute myeloid leukemia.

Introduction: Acute myeloid leukemia (AML) is an aggressive blood cancer with high heterogeneity and poor prognosis. Although the metabolic reprogramming of nicotinamide adenine dinucleotide (NAD) has been reported to play a pivotal role in the pathogenesis of acute myeloid leukemia (AML), the prognostic value of NAD metabolism and its correlation with the immune microenvironment in AML remains unclear. Methods: We utilized our large-scale RNA-seq data on 655 patients with AML and the NAD metabolism-related genes to establish a prognostic NAD metabolism score based on the sparse regression analysis. The signature was validated across three independent datasets including a total of 1,215 AML patients. ssGSEA and ESTIMATE algorithms were employed to dissect the tumor immune microenvironment. Ex vivo drug screening and in vitro experimental validation were performed to identify potential therapeutic approaches for the high-risk patients. In vitro knockdown and functional experiments were employed to investigate the role of SLC25A51, a mitochondrial NAD+ transporter gene implicated in the signature. Results: An 8-gene NAD metabolism signature (NADM8) was generated and demonstrated a robust prognostic value in more than 1,800 patients with AML. High NADM8 score could efficiently discriminate AML patients with adverse clinical characteristics and genetic lesions and serve as an independent factor predicting a poor prognosis. Immune microenvironment analysis revealed significant enrichment of distinct tumor-infiltrating immune cells and activation of immune checkpoints in patients with high NADM8 scores, acting as a potential biomarker for immune response evaluation in AML. Furthermore, ex vivo drug screening and in vitro experimental validation in a panel of 9 AML cell lines demonstrated that the patients with high NADM8 scores were more sensitive to the PI3K inhibitor, GDC-0914. Finally, functional experiments also substantiated the critical pathogenic role of the SLC25A51 in AML, which could be a promising therapeutic target. Conclusion: Our study demonstrated that NAD metabolism-related signature can facilitate risk stratification and prognosis prediction in AML and guide therapeutic decisions including both immunotherapy and targeted therapies.

Acute myeloid leukemia with ETV6::CHIC2 fusion gene: 'Pitfalls' in diagnosis.

OBJECTIVES: Acute myeloid leukemia (AML) with ETV6::CHIC2 and basophilia is rare in hematologic malignancies with poor prognosis. Due to the small number of clinical cases, it is misdiagnosed and missed frequently, and it is necessary to explore laboratory detection for accurate diagnosis. METHODS: We report a case of AML with ETV6::CHIC2 and basophilia by morphological screening, immunotyping with precise gating, interpretation of FISH results, and RNA transcriptome sequencing, thus laying the accurate diagnosis for clinical treatment. RESULTS: We confirmed a rare case of AML with ETV6::CHIC2 rather than FIP1L1::PDGFRA by morphological analysis, correct immunophenotyping via precise gating, rejecting one-sided view of FISH positive result and targeted RNA sequencing. Precise analysis and more advanced means avoid misdiagnosis and missed frequently. After accurate diagnosis, venetoclax and decitabine therapy were given instead of imatinib; eventually, the patient achieved a relatively good effect. DISCUSSION: Immunophenotype analysis is necessary to detect the expression of CD7 when encountering pseudo-lymphocytes with multilineage dysplasia and basophilia. FISH and RT-PCR are still indispensable means of diagnosis of fusion genes in hematologic malignancies but can only detect a limited number of known partner genes and fusion genes with known break points. NGS can achieve sequence analysis indiscriminately and detect all fusion transcripts theoretically, greatly improving the detection range. NGS sequencing is required for t(4;12)(q11;p13) in AML that are not accompanied by eosinophilia.

Diagnosis of Cutaneous Acute Graft­Versus­Host Disease Through Circulating Plasma miR-638, miR-6511b-5p, miR-3613-5p, miR-455-3p, miR-5787, and miR-548a-3p as Prospective Noninvasive Biomarkers Following Allogeneic Hematopoietic Stem Cell Transplantation.

BACKGROUND: There are currently no laboratory tests that can accurately predict the likelihood of developing acute graft-versus-host disease (aGVHD), a patient's response to treatment, or their survival chance. This research aimed to establish circulating miRNAs as diagnostic, prognostic, or predictive biomarkers of aGVHD. METHODS: In a prospective cohort, we studied the incidence of cutaneous aGVHD in AML patients undergoing allo-HSCT at Shariati Hospital in Tehran, Iran during 2020-2023. Patients with cutaneous aGVHD were labeled as the case group, while patients without cutaneous aGVHD were selected as the control group. Accordingly, the expression levels of six significant miRNAs (miR-638, miR-6511b-5p, miR-3613-5p, miR-455-3p, miR-5787, miR-548a-3p) were evaluated by quantitative reverse transcription-polymerase chain reaction (RTqPCR) in three different time-points: before transplantation, on day 14 and day 21 after transplantation. RESULTS: The levels of plasma miR-455-3p, miR-5787, miR-638, and miR-3613-5p were significantly downregulated, while miR-548a-3p, and miR-6511b-5p were significantly upregulated in individuals with cutaneous aGVHD in comparison to patients without GVHD. Additionally, the possibility for great diagnostic accuracy for cutaneous aGVHD was revealed by ROC curve analysis of differentially expressed miRNAs (DEMs). CONCLUSION: The study findings encourage us to hypothesize that the aforementioned miRNAs may contribute to the predominance of aGVHD, particularly low-grade cutaneous aGVHD.

Evaluation of a New Closed-System Automated RT-qPCR Assay for the Rapid Detection and Monitoring of Common Nucleophosmin Mutations in Patients with Acute Myeloid Leukemia.

Quantitative assessment of nucleophosmin 1 (NPM1) mutation status is integral to evaluating measurable residual disease (MRD) in NPM1-mutated acute myeloid leukemia (AML) patients. In a retrospective study, leftover peripheral blood (PB) specimens (n = 40) which were collected for routine clinical diagnostic evaluations of AML disease burden were tested by both a novel automated RT-qPCR quantitative NPM1 assay (Xpert NPM1 mutation assay) and the NPM1 mutA, mutB&D MutaQuant kit. Based on a Deming regression analysis, there was a high correlation (slope = 0.92; intercept = 0.12; Pearson's r = 0.982) between the quantitative results of the Xpert NPM1 mutation assay and the NPM1 mutA, mutB&D MutaQuant kit. The Xpert test quantitative results are thus highly correlated with the comparator method and the former has potential as a useful alternative for the monitoring of AML patients with a known NPM1 mutation.

Nomogram models predicting prognosis for patients with t(8;21) acute myeloid leukemia: a SEER-based study.

BACKGROUND: Acute myeloid leukemia (AML) with t(8;21) manifests as a diverse hematological malignancy. Although it was categorized into a favorable subtype, 30-40% of patients experience relapse. The objective of this research was to devise a nomogram for the accurate anticipation of both overall survival (OS) and cancer-specific survival (CSS) in t(8;21) AML. METHODS: From the Surveillance, Epidemiology, and End Results (SEER) database, individuals diagnosed with t(8;21) AML from 2000 to 2018 were selected. Prognostic factors for t(8;21) AML were identified using Cox regression analysis and Akaike Information Criterion (AIC), forming the basis for constructing prognostic nomograms. RESULTS: Key variables, including first primary tumor, age group, race, and chemotherapy, were identified and integrated into the nomogram. The C-index values for the nomograms predicting OS and CSS were 0.753 (validation: 0.765) and 0.764 (validation: 0.757), respectively. Ultimately, based on nomogram scores, patients were stratified into high-risk and low-risk groups, revealing significant disparities in both OS and CSS between these groups (P < 0.001). CONCLUSION: This study innovatively crafted nomograms, incorporating clinical and therapeutic variables, to forecast the 1-, 3-, and 5-year survival rates for individuals with t(8;21) AML.

A practical approach on the classifications of myeloid neoplasms and acute leukemia: WHO and ICC.

In 2022, two new classifications of myeloid neoplasms and acute leukemias were published: the 5th edition WHO Classification (WHO-HAEM5) and the International Consensus Classification (ICC). As with prior classifications, the WHO-HAEM5 and ICC made updates to the prior classification (revised 4th edition WHO Classification, WHO-HAEM4R) based on a consensus of groups of experts, who examined new evidence. Both WHO-HAEM5 and ICC introduced several new disease entities that are based predominantly on genetic features, superseding prior morphologic definitions. While it is encouraging that two groups independently came to similar conclusions in updating the classification of myeloid neoplasms and acute leukemias, there are several divergences in how WHO-HAEM5 and ICC define specific entities as well as differences in nomenclature of certain diseases. In this review, we highlight the similarities and differences between the WHO-HAEM5 and ICC handling of myeloid neoplasms and acute leukemias and present a practical approach to diagnosing and classifying these diseases in this current era of two divergent classification guidelines.

Identification of Novel DNA Methylation Prognostic Biomarkers for AML With Normal Cytogenetics.

PURPOSE: AML is a hematologic cancer that is clinically heterogeneous, with a wide range of clinical outcomes. DNA methylation changes are a hallmark of AML but are not routinely used as a criterion for risk stratification. The aim of this study was to explore DNA methylation markers that could risk stratify patients with cytogenetically normal AML (CN-AML), currently classified as intermediate-risk. MATERIALS AND METHODS: DNA methylation profiles in whole blood samples from 77 patients with CN-AML in The Cancer Genome Atlas (LAML cohort) were analyzed. Individual 5'-cytosine-phosphate-guanine-3' (CpG) sites were assessed for their ability to predict overall survival. The output was validated using DNA methylation profiles from bone marrow samples of 79 patients with CN-AML in a separate data set from the Gene Expression Omnibus. RESULTS: In the training set, using DNA methylation data derived from the 450K array, we identified 2,549 CpG sites that could potentially distinguish patients with CN-AML with an adverse prognosis (intermediate-poor) from those with a more favorable prognosis (intermediate-favorable) independent of age. Of these, 25 CpGs showed consistent prognostic potential across both the 450K and 27K array platforms. In a separate validation data set, nine of these 25 CpGs exhibited statistically significant differences in 2-year survival. These nine validated CpGs formed the basis for a combined prognostic biomarker panel, which includes an 8-CpG Somatic Panel and the methylation status of cg23947872. This panel displayed strong predictive ability for 2-year survival, 2-year progression-free survival, and complete remission in the validation cohort. CONCLUSION: This study highlights DNA methylation profiling as a promising approach to enhance risk stratification in patients with CN-AML, potentially offering a pathway to more personalized treatment strategies.