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Due to the successful application of all-trans retinoic acid (ATRA) and arsenic, the treatment of acute promyelocytic leukemia (APL) with PML::RARA fusion gene has achieved great success. However, some patients are presented with APL phenotype in cellular morphology, immunophenotype, and gene expression profile, while PML::RARA is negative, which is known as atypical APL (aAPL). In aAPL patients, more than 20 fusion genes related to retinoic acid receptors have been reported. It has been discovered that all evaluable patients with RARG fusion genes and approximately half of those with rare RARA fusion genes are resistant to ATRA, however, the molecular mechanisms of this resistance remain poorly studied. Combining with the reports in the 65th American Society of Hematology Annual Meeting, this paper reports great progresses of the key pathogenesis of aAPL and ATRA resistance mechanisms.
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Whether Fanconi anemia (FA) heterozygotes are predisposed to bone marrow failure and hematologic neoplasm is a crucial but unsettled issue in cancer prevention and family consulting. We retrospectively analyzed rare possibly significant variations (PSVs) in the five most obligated FA genes, BRCA2, FANCA, FANCC, FANCD2, and FANCG, in 788 patients with aplastic anemia (AA) and hematologic malignancy. Sixty-eight variants were identified in 66 patients (8.38%). FANCA was the most frequently mutated gene (n = 29), followed by BRCA2 (n = 20). Compared with that of the ExAC East Asian dataset, the overall frequency of rare PSVs was higher in our cohort (P = 0.016). BRCA2 PSVs showed higher frequency in acute lymphocytic leukemia (P = 0.038), and FANCA PSVs were significantly enriched in AA and AML subgroups (P = 0.020; P = 0.008). FA-PSV-positive MDS/AML patients had a higher tumor mutation burden, higher rate of cytogenetic abnormalities, less epigenetic regulation, and fewer spliceosome gene mutations than those of FA-PSV-negative MDS/AML patients (P = 0.024, P = 0.029, P = 0.024, and P = 0.013). The overall PSV enrichment in our cohort suggests that heterozygous mutations of FA genes contribute to hematopoietic failure and leukemogenesis.
Assuntos
Humanos , Anemia Aplástica/genética , Epigênese Genética , Anemia de Fanconi/genética , Células Germinativas , Neoplasias Hematológicas/genética , Leucemia Mieloide Aguda/genética , Estudos RetrospectivosRESUMO
OBJECTIVE@#To detect fusion gene with pathological significance in a patient with refractory and relapsed acute B cell lymphoblastic leukemia (B-ALL) and to explore its laboratory and clinical characteristics.@*METHODS@#Transcriptome sequencing was used to detect potential fusion transcripts. Other laboratory results and clinical data of the patient were also analyzed.@*RESULTS@#The patient was found to harbor TCF3 exon 17-ZNF384 exon 7 in-frame fusion transcript. The minimal residual disease (MRD) has remained positive after multiple chemotherapy protocols including CD19-, CD22- targeted chimeric antigen receptor T cells immunotherapy. The patient eventually achieved complete remission and sustained MRD negativity after allogeneic hemopoietic stem cell transplantation (allo-HSCT).@*CONCLUSION@#Transcriptome sequencing can effectively detect potential fusion genes with clinical significance in leukemia. TCF3-ZNF384 positive B-ALL has unique laboratory and clinical characteristics, may not well respond to chemotherapy and immunotherapy, and is more likely to relapse. Timely allo-HSCT treatment may help such patients to achieve long-term disease-free survival. TCF3-ZNF384 positive B-ALL is not uncommon in pediatric patients but has not been effectively identified.
Assuntos
Criança , Humanos , Linfócitos B , Fatores de Transcrição Hélice-Alça-Hélice Básicos/genética , Transplante de Células-Tronco Hematopoéticas , Laboratórios , Leucemia-Linfoma Linfoblástico de Células Precursoras/terapia , Transativadores/genética , TranscriptomaRESUMO
The new wave of artificial intelligence pushed by deep learning algorithms has dramatically promoted the development of big data analysis technology. On the other hand, advances in life sciences represented by high-throughput genome sequencing have provided massive medical data. Artificial intelligence technology has also provided a powerful tool for hematological malignancy research. This article introduces related research progress in the 61st American Society of Hematology Annual Meeting.
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The new wave of artificial intelligence pushed by deep learning algorithms has dramatically promoted the development of big data analysis technology. On the other hand, advances in life sciences represented by high-throughput genome sequencing have provided massive medical data. Artificial intelligence technology has also provided a powerful tool for hematological malignancy research. This article introduces related research progress in the 61st American Society of Hematology Annual Meeting.
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Objective:To investigate the infection spectrum revealed by metagenomics high-throughput next-generation sequencing (mNGS), and to provide a reference for infection diagnosis after allogeneic hematopoietic stem cell transplantation (allo-HSCT).Methods:A total of 64 patients who developed systemic or local infection symptoms after allo-HSCT in Hebei Yanda Lu Daopei Hospital from January 2018 to November 2018 were enrolled. Gene sequences of pathogenic microorganisms in blood, cerebrospinal fluid and bronchoalveolar fluid specimens were detected by using mNGS. The pathogenic microorganisms or suspected pathogens were determined based on the clinical manifestations of patients.Results:There were 97 samples of mNGS detection for 64 patients who underwent allo-HSCT. The most common gram-positive bacteria were staphylococcus haemolyticus (19 times) and staphylococcus (14 times), and the most common gram-negative bacterium was acinetobacter baumannii (8 times). The most common viruses were cytomegalovirus, EB virus and Torque teno virus (35, 22 and 23 times, respectively), and the most common fungi were malassezia globus (14 times) and candida parapsilosis (8 times). There were 3 mycobacterium tuberculosis complexes detected in 3 patients with acute myeloid leukemia who received allo-HSCT. Mycoplasma orale was detected in one patient's sputum, and none parasite was detected.Conclusion:mNGS can comprehensively reveal the infection spectrum of hematologic diseases after allo-HSCT, especially for pathogenic microorganisms that are rare or difficult to cultivate, and it can effectively help the diagnosis of clinically infectious pathogens.
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Neoantigens, as the products of gene mutations in tumor cells, are specific antigen expressed on the surface of tumor cells. They can be the targets of immuno-cell therapies with high specificity and safety. Immunotherapies based on tumor neoantigens became the new research hotspot as results of the applications of genomic sequencing technologies and the development of neoantigens prediction techniques. In this paper, the applied prospect of neoantigens in hematological malignancies is discussed based on the research progress in the last few years and the relevant reports from the 59th American Society of Hematology Annual Meeting.