Zhiping Jiang

Precise classification of megakaryocyte subtypes in bone marrow examination is crucial for the diagnosis and research of various hematological disorders, including Myelodysplastic Syndromes (MDS) and other platelet-production related diseases. While deep learning (DL) has demonstrated remarkable success in medical image classification, its application to megakaryocyte classification has been hindered by the scarcity of high-quality, openly licensed datasets. Therefore, we present MK-11, a dataset comprising 7,204 Wright-Giemsa stained single-cell images across 11 clinically relevant megakaryocyte subtypes. All images were annotated by two experienced hematopathologists with consensus review to ensure annotation quality, following standardized diagnostic criteria. Several state-of-the-art neural networks, including convolutional and transformer-based models, were evaluated on this benchmark, establishing strong baseline performance for megakaryocyte classification. To ensure reproducibility, we provide standardized five-fold cross-validation partitions along with all original images, annotations, partitioning schemes, and evaluation scripts under open licenses. In conclusion, this work presents the first public megakaryocyte subtype classification dataset for automatic morphological assessment development and evaluation, serving as a benchmark for future research.

Genomic structural variants (SVs) play a pivotal role in driving the evolution of hematologic malignancies, particularly in leukemia, in which genetic abnormalities are crucial features. Detecting SVs is essential for achieving precise diagnosis and prognosis in these cases. Karyotyping, often complemented by fluorescence in situ hybridization and/or chromosomal microarray analysis, provides standard diagnostic outcomes for various types of SVs in front‐line testing for leukemia. Recently, optical genome mapping (OGM) has emerged as a promising technique due to its ability to detect all SVs identified by other cytogenetic methods within one single assay. Furthermore, OGM has revealed additional clinically significant SVs in various clinical laboratories, underscoring its considerable potential for enhancing front‐line testing in cases of leukemia. This review aims to elucidate the principles of conventional cytogenetic techniques and OGM, with a focus on the technical performance of OGM and its applications in diagnosing and prognosticating myelodysplastic syndromes, acute myeloid leukemia, acute lymphoblastic leukemia, and chronic lymphocytic leukemia.

Digital PCR is a powerful method for absolute nucleic acid quantification and is widely used in the absolute quantification of viral copy numbers, tumor marker detection, and prenatal diagnosis. However, for most of the existing droplet-based dPCR systems, the droplet generation, PCR reaction, and droplet detection are performed separately using different instruments. Making digital PCR both easy to use and practical by integrating the qPCR workflow into a superior all-in-one walkaway solution is one of the core ideas. A new innovative and integrated digital droplet PCR platform was developed that utilizes cutting-edge microfluidics to integrate dPCR workflows onto a single consumable chip. This makes previously complex workflows fast and simple; the whole process of droplet generation, PCR amplification, and droplet detection is completed on one chip, which meets the clinical requirement of “sample in, result out”. It provides high multiplexing capabilities and strong sensitivity while all measurements were within the 95% confidence interval. This study is the first validation of the DropXpert S6 system and focuses primarily on verifying its reliability, repeatability, and consistency. In addition, the accuracy, detection limit, linearity, and precision of the system were evaluated after sample collection. Among them, the accuracy assessment by calculating the absolute bias of each target gene yielded a range from −0.1 to 0.08, all within ±0.5 logarithmic orders of magnitude; the LOB for the assay was set at 0, and the LoD value calculated using probit curves is MR4.7 (0.002%); the linearity evaluation showed that the R² value of the BCR-ABL was 0.9996, and the R² value of the ABL metrics calculated using the ERM standard was 0.9999; and the precision evaluation showed that all samples had a CV of less than 4% for intra-day, inter-day, and inter-instrument variation. The CV of inter-batch variation was less than 7%. The total CV was less than 5%. The results of the study demonstrate that dd-PCR can be applied to molecular detection and the clinical evaluation of CML patients and provide more precise personal treatment guidance, and its reproducibility predicts the future development of a wide range of clinical applications.

Primary myelofibrosis (PMF) patients frequently have JAK2 (V617F), CALR (exon 9), or MPL (W515 or exon 10) strong driver gene mutation, which triggers abnormal activation of the JAK2-STATs signaling pathway that plays a complex role in the occurrence of PMF. However, about 10–15% of PMF patients have no above typical mutations in these strong driver genes, known as being “triple-negative”, which are associated with poor prognosis. In this paper, we reported a unique secondary acute myeloid leukemia (sAML) case transformed from triple-negative PMF combined with lung cancer and erythroderma occurrence at the same time, which has not been reported so far. Through whole blood exome sequencing, four novel noncanonical mutations were detected in key regulatory genes SH2B3 (Q748 and S710) and STAT5a (C350 and K354). Meanwhile, STAT5a-S710 and SH2B3-K354 noncanonical mutations gained strong malignant biofunction on promoting cell growth and tumorigenesis by accelerating the G1/S transition. In the mechanistic study, these pernicious phenotypes driven by noncanonical mutations might be initial PMF by activating p-STAT5a/c-Myc/CyclinD1 and p-STAT3/p-AKT/p-ERK1/2 signaling axes. Therefore, our study explored the deleterious roles of novel noncanonical mutations in STAT5a and SH2B3, which may serve as susceptibility genes and display the oncogenic biofunction in the progression of PMF to acute myeloid leukemia-M2a (AML-M2a).

Stenotrophomonas acidaminiphila, the most recent reported species in genus Stenotrophomonas, is a relatively rare bacteria and is an aerobic, glucose non-fermentative, Gram-negative bacterium. However, little information of S. acidaminiphila is known to cause human infections. In this research, we firstly reported a multidrug-resistant strain S. acidaminiphila SINDOREI isolated from the blood of a patient with sepsis, who was dead of infection eventually. The whole genome of strain SINDOREI was sequenced, and genome comparisons were performed among six closely related S. acidaminiphila strains. The core genes (2,506 genes) and strain-specific genes were identified, respectively, to know about the strain-level diversity in six S. acidaminiphila stains. The presence of a unique gene (narG) and essential genes involved in biofilm formation in strain SINDOREI are important for the pathogenesis of infections. Strain SINDOREI was resistant to trimethoprim/sulfamethoxazole, ciprofloxacin, ofloxacin, cefepime, ceftazidime, and aztreonam. Several common and specific antibiotic resistance genes were identified in strain SINDOREI. The presence of two sul genes and exclusive determinants GES-1, aadA3, qacL, and cmlA5 is responsible for the resistance to multidrug. The virulence factors and resistance determinants can show the relationship between the phenotype and genotype and afford potential therapeutic strategies for infections.

Background: T-cell large granular lymphocytic leukemia (T-LGLL) is a rare lymphoproliferative disorder that starts in T cells and is usually indolent. Long-term use of immunosuppressants, combined with agranulocytosis, is a double-edged sword, as both can lead to serious infections, especially in patients with combined hematologic malignancies and immune defects. Case Presentation: A 30-year-old female patient was admitted to the hospital because of agranulocytosis for five years, with chest tightness, fatigue, and fever for two days. Pathology and metagenomic next-generation sequencing (mNGS) detected Aspergillus. Although she received cyclosporine and methylprednisolone, the patient showed drug intolerance and progression with invasive pulmonary fungal infections. After a bone marrow aspiration biopsy and other related examinations, she was diagnosed with T-LGLL and invasive pulmonary aspergillosis (IPA). T-cell immunophenotype was CD45+CD3dim+CD5-CD4-CD8+CD7+CD57p+CD25-CD30-, TCRγδ+, transducer and activator of transcripton-3 (STAT3) Y640F mutation and fusion gene NPL-DHX9 rearrangement were confirmed, which has never been reported in hematological diseases. After voriconazole regimen adjustment during treatment based on therapeutic drug concentration monitoring (TDM) and improvement in lung infection, the patient finally treated with purine nucleoside analogues (PNA) cladribine as a single agent at 0.14 mg/kg/d for 5 days. Complete response was achieved after four-cycles cladribine treatment (WBC 2.1*109/L, HGB 117 g/L, PLT 196*109/L, ANC 1.6*109/L, and ALC 0.2*109/L). Conclusions: To our knowledge, this is the first case of T-LGLL with a rare γδ type and fusion gene NPL-DHX9 rearrangement. The patient was successfully treated with cladribine, suggesting that this regimen could be a promising therapeutic strategy for patients with aggressive T-LGLL.

Review question / Objective: A meta-analysis was performed to investigate prognostic value of ASXL1 mutations in patients with myelodysplastic syndromes and acute myeloid leukemia. Condition being studied: Some MDS or AML patients have ASXL1 mutations while others haven’t. Main outcome(s): We used OS as the primary endpoint and AML transformation as the secondary endpoint. OS was defined as either death (failure) or survival at the last follow-up. AML transformation was defined as starting when the patient entered the trial and proceeding to the time of AML diagnosis.Combined HRs and 95% CIs for OS and AML transformation were used to evaluate the prognostic effect of ASXL1 mutations using the generic inverse variance method.

Background: We present a unique case of primary breast CD20-positive extranodal NK/T cell lymphoma with stomach involvement in a young Chinese female patient. Case presentation: The patient presented with a mass in her right breast that rapidly increased in size over approximately 2 months. Upper gastrointestinal endoscopy showed a giant serpentine ulcer in the stomach. Biopsy was performed, and microscopic inspection revealed that the fibrous tissue was diffusely involved by medium to large abnormal lymphocytes. The cytoplasm was low to moderate. The tumor cells had irregular nuclei and inconspicuous nucleoli. The lymphoid cells were strongly immunoreactive to CD20, CD3, CD4, CD56, TIA-1, EBER, and Ki-67 (90%). Epstein-Barr virus genomes were also found in tumor cells by in situ hybridization. A whole-body positron emission tomography (PET)-CT scan revealed intense FDG uptake in the right breast and greater curvature of the stomach. Monoclonal rearrangements of the T cell receptor (TCR-γ) and immunoglobulin heavy chain (IgH) were identified by genetic analysis. Whole-genome next-generation sequencing was performed, and up to 12 gene mutations, including a frameshift mutation in exon 4 of the BCOR (G97Rfs*87; 44.3%) gene and a base substitution mutation (Q61H 17.6%) in exon 3 of the KRAS gene, were detected. Kyoto Encyclopedia of Genes and Genomes pathway analyses were performed using the database for annotation, visualization, and integrated discovery, which showed that rare primary breast CD20-positive extranodal NK/T cell lymphoma had a unique genetic background compared with diffuse large B cell lymphoma and extranodal NK/T cell lymphoma without CD20 expression. The patient received four cycles of the modified SMILE regimen. The second whole-body PET-CT scan revealed that the right breast mass was significantly smaller than before; additionally, FDG uptake in the stomach wall disappeared. Conclusions: Systemic examination, extensive immunohistochemistry, and molecular profiling are essential for an accurate diagnosis. More similar cases are required to clarify the biological pathways and even the potential molecular mechanisms of rare lymphomas, which may help direct further treatment.