Prevalence of massively diluted bone marrow cell samples aspirated from patients with myelodysplastic syndromes (MDS) or suspected of MDS: A retrospective analysis of nationwide samples in Japan

Bone marrow (BM) examination is a key element in the diagnosis and prognostic grading of myelodysplastic syndromes (MDSs), and obtaining adequate BM cell samples is critical for accurate test results. Massive haemodilution of aspirated BM samples is a well-known problem; however, its incidence in patients with MDS has not been well studied. We report the first study to examine the incidence of massive haemodilution in nationwide BM samples aspirated from patients diagnosed with or suspected of MDS in Japan. Among 283 cases available for analysis, BM smears from 92 cases (32.5%) were hypospicular (massively haemodiluted) and, particularly, no BM particles were observed in 52 cases (18.4%). Regarding hypospicular cases, we examined how the doctors in charge interpreted the BM smears of their patients. In only 19 of 92 cases (20.7%), doctors realised that the BM smears were haemodiluted. Furthermore, the BM biopsy, which can help diagnose hypospicular cases, was oftentimes not performed when the haemodilution was overlooked by doctors (not performed in 50 of 73 such cases). These real-world data highlight that not only researchers who are working to improve diagnostic tests but also clinicians who perform and use diagnostic tests must realise this common and potentially critical problem.

Platelet-to-lymphocyte ratio and absolute monocyte count have prognostic potential in primary myelodysplastic neoplasms

INTRODUCTION

The platelet-to-lymphocyte ratio (PLR), peripheral blood absolute monocyte count (AMC), and monocyte-to-lymphocyte ratio (MLR) are considered biomarkers of systemic immune and inflammation response. However, their prognostic potential in patients with myelodysplastic neoplasms (MDS) remains unclear. This study aimed to explore the predictive impact of PLR, MLR, and AMC on MDS outcomes.

METHODS

In total, 334 patients with primary MDS were included between January 2016 and December 2021 and were retrospectively followed up until December 31, 2022. The prognostic significance of PLR, MLR, and AMC was assessed using univariate and multivariate analyses, and predictive models were generated to estimate MDS outcomes. The area under their receiver operating curves was computed to compare the predictive power of these models.

RESULTS

Fifty-one patients had disease progression, and 103 patients died during follow-up. In multivariate analyses, a higher PLR was an adverse independent factor for overall survival (OS) (p = 0.011), whereas a higher AMC indicated shorter progression-free survival (p = 0.003). The prognostic model incorporating PLR, MLR, and AMC with the Revised International Prognostic Scoring System (IPSS-R) risk categorization showed higher performance in predicting OS than the model that only utilized the IPSS-R category.

CONCLUSION

Elevated PLR and increased AMC had independent prognostic value for adverse outcomes in patients with MDS. PLR, MLR, and AMC enhanced the IPSS-R risk categorization for OS prediction in MDS.

High Expression of ENO1 and Low Levels of Circulating Anti-ENO1 Autoantibodies in Patients with Myelodysplastic Neoplasms and Acute Myeloid Leukaemia

In solid tumours, high expression of the glycolytic enzyme, α-enolase (ENO1), predicts for poor patient overall survival (OS), and circulating autoantibodies to ENO1 correlate positively with diagnosis and negatively with advanced disease. Although ENO1 is one of the most highly expressed genes in acute myeloid leukaemia (AML), its potential role as a biomarker in AML or its precursor, myelodysplastic neoplasms (MDS), has not been investigated. A meta-analysis of nine AML online datasets (n = 1419 patients) revealed that high ENO1 expression predicts for poor OS (HR = 1.22, 95% CI: 1.10-1.34, p < 0.001). Additionally, when compared to AML in remission (n = 5), ENO1 protein detected by immunohistochemistry was significantly higher at diagnosis in bone marrow from both AML (n = 5, p < 0.01) and MDS patients (n = 12, p < 0.05), and did not correlate with percentage of blasts (r = 0.28, p = 0.21). AML patients (n = 34) had lower circulating levels of ENO1 autoantibodies detected by ELISA compared to 26 MDS and 18 controls (p = 0.003). However, there was no difference in OS between AML patients with high vs. low levels of anti-ENO1 autoantibodies (p = 0.77). BM immunostaining for ENO1 and patient monitoring of anti-ENO1 autoantibody levels may be useful biomarkers for MDS and AML.

Expression of circular RNAs in myelodysplastic neoplasms and their association with mutations in the splicing factor gene SF3B1

Mutations in the splicing factor 3b subunit 1 (SF3B1) gene are frequent in myelodysplastic neoplasms (MDS). Because the splicing process is involved in the production of circular RNAs (circRNAs), we investigated the impact of SF3B1 mutations on circRNA processing. Using RNA sequencing, we measured circRNA expression in CD34+ bone marrow MDS cells. We defined circRNAs deregulated in a heterogeneous group of MDS patients and described increased circRNA formation in higher-risk MDS. We showed that the presence of SF3B1 mutations did not affect the global production of circRNAs; however, deregulation of specific circRNAs was observed. Particularly, we demonstrated that strong upregulation of circRNAs processed from the zinc finger E-box binding homeobox 1 (ZEB1) transcription factor; this upregulation was exclusive to SF3B1-mutated patients and was not observed in those with mutations in other splicing factors or other recurrently mutated genes, or with other clinical variables. Furthermore, we focused on the most upregulated ZEB1-circRNA, hsa_circ_0000228, and, by its knockdown, we demonstrated that its expression is related to mitochondrial activity. Using microRNA analyses, we proposed miR-1248 as a direct target of hsa_circ_0000228. To conclude, we demonstrated that mutated SF3B1 leads to deregulation of ZEB1-circRNAs, potentially contributing to the defects in mitochondrial metabolism observed in SF3B1-mutated MDS.

Shallow whole-genome sequencing of bone marrow aspirates in myelodysplastic neoplasms: A retrospective comparison with cytogenetics

Copy number alterations (CNA) are powerful prognostic markers in myelodysplastic neoplasms (MDS) and are routinely analyzed by conventional cytogenetic analysis (CCA) on bone marrow (BM). Although CCA is still the gold standard, it requires extensive hands-on time and highly trained staff for the analysis, making it a laborious technique. To reduce turn-around-time per case, shallow whole genome sequencing (sWGS) technologies offer new perspectives for the diagnostic work-up of this disorder. We compared sWGS with CCA for the detection of CNAs in 33 retrospective BM samples of patients with MDS. Using sWGS, CNAs were detected in all cases and additionally allowed the analysis of three cases for which CCA failed. The prognostic stratification (IPSS-R score) of 27 out of 30 patients was the same with both techniques. In the remaining cases, discrepancies were caused by the presence of balanced translocations escaping sWGS detection in two cases, a subclonal aberration reported with CCA that could not be confirmed by FISH or sWGS, and the presence of an isodicentric chromosome idic(17)(p11) missed by CCA. Since sWGS can almost entirely be automated, our findings indicate that sWGS is valuable in a routine setting validating it as a cost-efficient tool.

MDS-Related Anemia Is Associated with Impaired Quality of Life but Improvement Is Not Always Achieved by Increased Hemoglobin Level

Quality of life is impaired in MDS, but the role of hemoglobin level is unclear. To study the Hb-QoL correlation at diagnosis and 1 year later, patients filled out the EQ-5D questionnaire, assessing their mobility, self care, daily activities, pain/discomfort, and anxiety/depression, using scores of 0 (normal), 1 (mild/moderate), or 2 (poor). They also evaluated their health using a visual analogue scale, scoring from 0 (poor) to 100 (excellent). The anemia subgroups were: none/normal (Hb ≥ 12.5 g/dL), mild (10 ≤ Hb < 12.5), moderate (9 ≤ Hb < 10), severe (8 ≤ Hb < 9), or very severe (Hb < 8). LR-MDS patients (n = 127) and inpatient controls (n = 141) participated. The anemic patients had a poor QoL and the MDS patients had a lower QoL with a lower Hb. The controls had no QoL difference among the various anemia subgroups. In addition, the MDS QoL sharply decreased with an Hb of < 9. The MDS patients showed a wide QoL variability, i.e., different QoL scores in the same Hb subgroup, suggesting that other factors affect QoL (e.g., age and comorbidities). After 1 year (n = 61), the QoL was still poor for most MDS patients (including 27 patients with an increased Hb). In summary: (1) a poor QoL in MDS-anemia is non-linear, suggesting other influencing factors on QoL. (2) The sharp QoL drop with Hb < 9 g/dL challenges the transfusion Hb threshold. (3) The QoL in anemic MDS patients might differ from that in non-MDS patients. (4) Raising Hb, while recommended, does not guarantee an improved QoL.

Incidence and prognostic impact of U2AF1 mutations and other gene alterations in myelodysplastic neoplasms with isolated 20q deletion

BACKGROUND

In myelodysplastic neoplasms (MDS), the 20q deletion [del(20q)] is a recurrent chromosomal abnormality that it has a high co-occurrence with U2AF1 mutations. Nevertheless, the prognostic impact of U2AF1 in these MDS patients is uncertain and the possible clinical and/or prognostic differences between the mutation type and the mutational burden are also unknown.

METHODS

Our study analyzes different molecular variables in 100 MDS patients with isolated del(20q).

RESULTS & CONCLUSIONS

We describe the high incidence and negative prognostic impact of U2AF1 mutations and other alterations such as in ASXL1 gene to identify prognostic markers that would benefit patients to receive earlier treatment.

Impact of Next-Generation Sequencing in Diagnosis, Prognosis and Therapeutic Management of Acute Myeloid Leukemia/Myelodysplastic Neoplasms

For decades, the diagnosis, prognosis and thus, the treatment of acute myeloblastic leukemias and myelodysplastic neoplasms has been mainly based on morphological aspects, as evidenced by the French-American-British classification. The morphological aspects correspond quite well, in a certain number of particular cases, to particular evolutionary properties, such as acute myelomonoblastic leukemias with eosinophils or acute promyelocytic leukemias. Advances in biology, particularly "classical" cytogenetics (karyotype) and molecular cytogenetics (in situ hybridization), have made it possible to associate certain morphological features with particular molecular abnormalities, such as the pericentric inversion of chromosome 16 and translocation t(15;17) in the two preceding examples. Polymerase chain reaction techniques have made it possible to go further in these analyses by associating these karyotype abnormalities with their molecular causes, CBFbeta fusion with MYH11 and PML-RAR fusion in the previous cases. In these two examples, the molecular abnormality allows us to better define the pathophysiology of leukemia, to adapt certain treatments (all-transretinoic acid, for example), and to follow up the residual disease of strong prognostic value beyond the simple threshold of less than 5% of marrow blasts, signaling the complete remission. However, the new sequencing techniques of the next generation open up broader perspectives by being able to analyze several dozens of molecular abnormalities, improving all levels of management, from diagnosis to prognosis and treatment, even if it means that morphological aspects are increasingly relegated to the background.

Combination of NeuX and NeuZ can predict neutrophil dysplasia features of myelodysplastic neoplasms in peripheral blood

INTRODUCTION

The assessment of neutrophil dysplasia features in peripheral blood is very helpful for the early screening and diagnosis of myelodysplastic neoplasms (MDS). Cell population data (CPD) parameters generated by automated hematology analyzers can reflect morphological characteristics of blood cells. This study aimed to investigate the clinical significance of CPD parameters neutrophil (Neu) X, NeuY and NeuZ in assessing neutrophil dysplasia.

METHODS

218 MDS patients were divided into two subgroups according to neutrophil morphology. The differences of neutrophil research parameters between the two MDS subgroups and the control group, consisting of 210 healthy individuals, were compared, the correlation among neutrophil research parameters and the relationship between these parameters and cell morphology in MDS patients were analyzed, and receiver operating characteristic analysis were performed.

RESULTS

The median values of neutrophil research parameters NeuX and NeuZ in MDS with granulocyte dysplasia group were significantly lower than those in MDS without granulocyte dysplasia group and control group (p < 0.001), and they were positively correlated (r = 0.878, p < 0.001). The area under the receiver operating characteristic curve of NeuX and NeuZ was 0.720 (95% CI: 0.643-0.796, p < 0.001) and 0.738 (95% CI: 0.665-0.811, p < 0.001), respectively. In addition, with the decrease of NeuX value, neutrophils gradually show decreased nuclear segment and/or cytoplasmic granules.

CONCLUSIONS

Combining NeuX and NeuZ can predict neutrophil dysplasia features of MDS in peripheral blood, and this can be an easier method to screen for the neutrophil dysplasia cases, as compared with the microscopic examination of peripheral blood and/or bone marrow smears.

Molecular Drivers of Myelodysplastic Neoplasms (MDS)-Classification and Prognostic Relevance

Myelodysplastic neoplasms (MDS) form a broad spectrum of clonal myeloid malignancies arising from hematopoietic stem cells that are characterized by progressive and refractory cytopenia and morphological dysplasia. Recent advances in unraveling the underlying pathogenesis of MDS have led to the identification of molecular drivers and secondary genetic events. With the overall goal of classifying patients into relevant disease entities that can aid to predict clinical outcomes and make therapeutic decisions, several MDS classification models (e.g., French-American-British, World Health Organization, and International Consensus Classification) as well as prognostication models (e.g., International Prognostic Scoring system (IPSS), the revised IPSS (IPSS-R), and the molecular IPSS (IPSS-M)), have been developed. The IPSS-M is the first model that incorporates molecular data for individual genes and facilitates better prediction of clinical outcome parameters compared to older versions of this model (i.e., overall survival, disease progression, and leukemia-free survival). Comprehensive classification and accurate risk prediction largely depend on the integration of genetic mutations that drive the disease, which is crucial to improve the diagnostic work-up, guide treatment decision making, and direct novel therapeutic options. In this review, we summarize the most common cytogenetic and genomic drivers of MDS and how they impact MDS prognosis and treatment decisions.