血液科学(英文)最新文献

Spatial transcriptomics, which is capable of both measuring all gene activity in a tissue sample and mapping where this activity occurs, is vastly improving our understanding of biological processes and disease. The field has expanded rapidly in recent years, and the development of several new technologies has resulted in spatially resolved transcriptomics (SRT) becoming highly multiplexed, high-resolution, and high-throughput. Here, we summarize and compare the major methods of SRT, including imaging-based methods, sequencing-based methods, and in situ sequencing methods. We also highlight some typical applications of SRT in neuroscience, cancer biology, developmental biology, and hematology. Finally, we discuss future possibilities for improving spatially resolved transcriptomic methods and the expected applications of such methods, especially in the adult bone marrow, anticipating that new developments will unlock the full potential of spatially resolved multi-omics in both biological research and the clinic.

Coronavirus disease 2019 (COVID-19) is a highly contagious disease that seriously affects people's lives. Immune dysfunction, which is characterized by abnormal expression of multiple immune checkpoint proteins (ICs) on immune cells, is associated with progression and poor prognosis for tumors and chronic infections. Immunotherapy targeting ICs has been well established in modulating immune function and improving clinical outcome for solid tumors and hematological malignancies. The role of ICs in different populations or COVID-19 stages and the impact of IC blockade remains unclear. In this review, we summarized current studies of alterations in ICs in COVID-19 to better understand immune changes and provide strategies for treating COVID-19 patients, particularly those with cancer.

Hematopoiesis is a continuous and well-regulated process requiring both the capacity for self-renewal and the potential for differentiation of hematopoietic stem cells. Multiple studies indicate that sex hormones exert significant effects on not only hematopoietic stem and progenitor cells, but also the development of hematopoietic lineages, resulting in sexual dimorphisms in normal hematopoiesis. Hematologic malignancies comprise a wide variety of cancers affecting the blood, bone marrow, and lymphatic system, such as leukemia, lymphoma, myeloma, myelodysplastic syndrome, and myeloproliferative diseases. Overall, males are at greater risk and have worse prognosis for most of these malignancies compared with females. A better understanding of the differences between male and female could be of substantial value in research as well as clinical management.

Several cases such as myeloproliferative neoplasms (MPN) with the coexistence of JAK2 and BCR-ABL have been reported. However, cases of transformation of essential thrombocythemia (ET) into chronic myeloid leukemia (CML) during the disease progression were rarely reported. Here, we report the case of a patient with JAK2 V617F- positive ET who subsequently acquired BCR-ABL1, which transformed the disease into CML after 10 years from the initial diagnosis. In this study, we dynamically monitored JAK2 V617F and BCR-ABL and observed multiple gene mutations, including IDH2, IDH1, ASXL1, KRAS, and RUNX1. It is important to be aware of this potentially clone evolution in disease progression.

Plasmablastic lymphoma (PBL) is an aggressive lymphoma with limited treatment strategies. Tuberculosis (TB) infection poses a high risk for patients with hematologic malignancies, especially those treated with immune agents but were never reported post-daratumumab treatment. Herein, we reported a TB infection in a 57-year-old male diagnosed with HIV-negative PBL receiving daratumumab-based treatment, who showed atypical lung infection and yielded Mycobacterium tuberculosis and cytomegalovirus (CMV) in the bronchoalveolar lavage fluid. Anti-TB therapy was administered, and the following daratumumab treatment was complete with good tolerance. In this case, we demonstrated that TB infection might occur after daratumumab therapy, and adequate attention should be paid to atypical symptoms.

The advent of whole-slide imaging, faster image data generation, and cheaper forms of data storage have made it easier for pathologists to manipulate digital slide images and interpret more detailed biological processes in conjunction with clinical samples. In parallel, with continuous breakthroughs in object detection, image feature extraction, image classification and image segmentation, artificial intelligence (AI) is becoming the most beneficial technology for high-throughput analysis of image data in various biomedical imaging disciplines. Integrating digital images into biological workflows, advanced algorithms, and computer vision techniques expands the biologist's horizons beyond the microscope slide. Here, we introduce recent developments in AI applied to microscopy in hematopathology. We give an overview of its concepts and present its applications in normal or abnormal hematopoietic cells identification. We discuss how AI shows great potential to push the limits of microscopy and enhance the resolution, signal and information content of acquired data. Its shortcomings are discussed, as well as future directions for the field.