OBJECTIVE: To explore the clinical and laboratory characteristics of hematological tumors with different types of abnormalities in platelet derived growth factor β (PDGFRβ) gene. METHODS: A retrospective analysis was carried out on 141 patients with abnormal long arm of chromosome 5 (5q) and comprehensive medical history data from Changhai Hospital Affiliated to Naval Medical University from 2009 to 2020, and their clinical data were collected. R-banding technique was used for chromosomal karyotyping analysis for the patient's bone marrow, and fluorescence in situ hybridization (FISH) was used to detect the PDGFRβ gene. The results of detection were divided into the amplification group, deletion group, and translocation group based on FISH signals. The three sets of data column crosstabs were statistically analyzed, and if the sample size was n >= 40 and the expected frequency T for each cell was >= 5, a Pearson test was used to compare the three groups of data. If N < 40 and any of the expected frequency T for each cell was < 5, a Fisher's exact test is used. Should there be a difference in the comparison results between the three sets of data, a Bonferroni method was further used to compare the data. RESULTS: In total 98 patients were detected to have PDGFRβ gene abnormalities with the PDGFRβ probe, which yielded a detection rate of 69.50% (98/141). Among these, 38 cases (38.78%) had PDGFRβ gene amplifications, 57 cases (58.16%) had deletions, and 3 (3.06%) had translocations. Among the 98 cases, 93 were found to have complex karyotypes, including 37 cases from the amplification group (97.37%, 37/38), 55 cases from the deletion group (96.49%, 55/57), and 1 case from the translocation group (33.33%, 1/3). Analysis of three sets of clinical data showed no significant gender preponderance in the groups (P > 0.05). The PDGFRβ deletion group was mainly associated with myeloid tumors, such as acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS) (P < 0.001). The PDGFRβ amplification group was more common in lymphoid tumors, such as multiple myeloma (MM) (P < 0.001). The PDGFRβ translocation group was also more common in myelodysplastic/myeloproliferative tumors (MDS/MPN). CONCLUSION Tumors with PDGFRβ gene rearrangement may exhibit excessive proliferation of myeloproliferative tumors (MPN) and pathological hematopoietic changes in the MDS, and have typical clinical and hematological characteristics. As a relatively rare type of hematological tumor, in addition to previously described myeloid tumors such as MPN or MDS/MPN, it may also cover lymphoid/plasma cell tumors such as multiple myeloma and non-Hodgkin's lymphoma.
Humans ; Clinical Relevance ; Hematologic Neoplasms/genetics* ; In Situ Hybridization, Fluorescence ; Multiple Myeloma ; Myelodysplastic Syndromes ; Retrospective Studies ; Translocation, Genetic

Brain development requires a delicate balance between self-renewal and differentiation in neural stem cells (NSC), which rely on the precise regulation of gene expression. Ten-eleven translocation 2 (TET2) modulates gene expression by the hydroxymethylation of 5-methylcytosine in DNA as an important epigenetic factor and participates in the neuronal differentiation. Yet, the regulation of TET2 in the process of neuronal differentiation remains unknown. Here, the protein level of TET2 was reduced by the ubiquitin-proteasome pathway during NSC differentiation, in contrast to mRNA level. We identified that TET2 physically interacts with the core subunits of the glucose-induced degradation-deficient (GID) ubiquitin ligase complex, an evolutionarily conserved ubiquitin ligase complex and is ubiquitinated by itself. The protein levels of GID complex subunits increased reciprocally with TET2 level upon NSC differentiation. The silencing of the core subunits of the GID complex, including WDR26 and ARMC8, attenuated the ubiquitination and degradation of TET2, increased the global 5-hydroxymethylcytosine levels, and promoted the differentiation of the NSC. TET2 level increased in the brain of the Wdr26^+/- mice. Our results illustrated that the GID complex negatively regulates TET2 protein stability, further modulates NSC differentiation, and represents a novel regulatory mechanism involved in brain development.
Animals ; Mice ; DNA-Binding Proteins/genetics* ; Cell Differentiation ; Neural Stem Cells ; Translocation, Genetic ; Ubiquitins/genetics* ; Ligases/genetics*

Objective: To investigate the clinicopathological, immunohistochemical and molecular genetic characteristics of gastric carcinoma with NTRK-rearrangement/amplification. Methods: The clinicopathological data of gastric carcinoma cases with NTRK-rearrangement/amplification diagnosed from January 2011 to September 2020 at the Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, China, were collected. The clinicopathological, immunophenotypic and molecular pathological features were analyzed. The relevant literature was reviewed. Results: There were 4 cases of gastric carcinoma with NTRK-rearrangement/amplification. All 4 patients were male, aged 57-67 years (average, 63 years). Tumor sizes ranged from 3.5 to 5.2 cm (average, 4.8 cm). All tumors were in the antrum. All 4 patients underwent radical gastrectomy and were followed up after the surgery. Morphologically, all tumors showed histological features with enteroblastic-differentiated gastric carcinoma. Tumor cells showed predominantly tubular/papillary architecture, with conspicuous vesicular nuclei and pale staining or transparent cytoplasm. Immunohistochemistry showed pan-TRK expression in all cases, with various degrees of positivity in the cytoplasm. All cases were subject to NTRK1/2/3 detection using fluorescence in situ hybridization. There were NTRK translocations in 2 cases and NTRK amplifications in 2 cases. These cases were further verified by RNAseq next generation sequencing which confirmed that NTRK1 gene translocation (TPM3-NTRK1) and NTRK2 gene translocation (NTRK2-SMCHD1) occurred in two cases, respectively. Conclusions: NTRK mutation occurs less frequently in gastric cancer. In this study, the cases mainly occur in the antrum. The morphology has the characteristics of enteroblastic differentiation. The tumors have unique histological, immunophenotypic and molecular characteristics, which require much attention from pathologists to effectively guide clinicians to choose the best treatment.
Humans ; Male ; Female ; Receptor, trkA/genetics* ; Stomach Neoplasms/surgery* ; In Situ Hybridization, Fluorescence ; Biomarkers, Tumor/genetics* ; Translocation, Genetic ; Carcinoma ; Oncogene Proteins, Fusion/genetics* ; Chromosomal Proteins, Non-Histone/genetics*

Child ; Humans ; Chromosomes, Human, Pair 16 ; Leukemia, Myeloid, Acute ; Neoplasms, Multiple Primary/genetics* ; Oncogene Proteins, Fusion/genetics* ; RNA-Binding Protein FUS/genetics* ; Sarcoma, Myeloid/genetics* ; Transcriptional Regulator ERG/genetics* ; Translocation, Genetic

Humans ; Multiple Myeloma/genetics* ; Karyotyping ; Translocation, Genetic/genetics*

Large-scale genetic manipulation of the genome refers to the genetic modification of large fragments of DNA using knockout, integration and translocation. Compared to small-scale gene editing, large-scale genetic manipulation of the genome allows for the simultaneous modification of more genetic information, which is important for understanding the complex mechanisms such as multigene interactions. At the same time, large-scale genetic manipulation of the genome allows for larger-scale design and reconstruction of the genome, and even the creation of entirely new genomes, with great potential in reconstructing complex functions. Yeast is an important eukaryotic model organism that is widely used because of its safety and easiness of manipulation. This paper systematically summarizes the toolkit for large-scale genetic manipulation of the yeast genome, including recombinase-mediated large-scale manipulation, nuclease-mediated large-scale manipulation, de novo synthesis of large DNA fragments and other large-scale manipulation tools, and introduces their basic working principles and typical application cases. Finally, the challenges and developments in large-scale genetic manipulation are presented.
DNA ; Gene Editing ; Genetic Engineering ; Saccharomyces cerevisiae/genetics* ; Translocation, Genetic

Humans ; Receptors, Chimeric Antigen/therapeutic use* ; DNA-Binding Proteins/genetics* ; Precursor B-Cell Lymphoblastic Leukemia-Lymphoma ; Proto-Oncogene Proteins c-bcl-2/genetics* ; Cell- and Tissue-Based Therapy ; Oncogene Proteins, Fusion/genetics* ; Translocation, Genetic

Humans ; Core Binding Factor Alpha 2 Subunit/genetics* ; Translocation, Genetic ; Leukemia, Myeloid, Acute/genetics* ; Prognosis ; High-Throughput Nucleotide Sequencing ; RUNX1 Translocation Partner 1 Protein/genetics* ; Oncogene Proteins, Fusion/genetics*

Humans ; Leukemia, Myeloid, Acute/genetics* ; Nuclear Pore Complex Proteins/genetics* ; Gene Rearrangement ; Translocation, Genetic ; Oncogene Proteins, Fusion/genetics*

Objective: To investigate the effect of the AML1-ETO (AE) fusion gene on the biological function of U937 leukemia cells by establishing a leukemia cell model that induces AE fusion gene expression. Methods: The doxycycline (Dox) -dependent expression of the AE fusion gene in the U937 cell line (U937-AE) were established using a lentivirus vector system. The Cell Counting Kit 8 methods, including the PI and sidanilide induction, were used to detect cell proliferation, cell cycle-induced differentiation assays, respectively. The effect of the AE fusion gene on the biological function of U937-AE cells was preliminarily explored using transcriptome sequencing and metabonomic sequencing. Results: ①The Dox-dependent Tet-on regulatory system was successfully constructed to regulate the stable AE fusion gene expression in U937-AE cells. ②Cell proliferation slowed down and the cell proliferation rate with AE expression (3.47±0.07) was lower than AE non-expression (3.86 ± 0.05) after inducing the AE fusion gene expression for 24 h (P<0.05). The proportion of cells in the G(0)/G(1) phase in the cell cycle increased, with AE expression [ (63.45±3.10) %) ] was higher than AE non-expression [ (41.36± 9.56) %] (P<0.05). The proportion of cells expressing CD13 and CD14 decreased with the expression of AE. The AE negative group is significantly higher than the AE positive group (P<0.05). ③The enrichment analysis of the transcriptome sequencing gene set revealed significantly enriched quiescence, nuclear factor kappa-light-chain-enhancer of activated B cells, interferon-α/γ, and other inflammatory response and immune regulation signals after AE expression. ④Disorder of fatty acid metabolism of U937-AE cells occurred under the influence of AE. The concentration of the medium and short-chain fatty acid acylcarnitine metabolites decreased in cells with AE expressing, propionyl L-carnitine, wherein those with AE expression (0.46±0.13) were lower than those with AE non-expression (1.00±0.27) (P<0.05). The metabolite concentration of some long-chain fatty acid acylcarnitine increased in cells with AE expressing tetradecanoyl carnitine, wherein those with AE expression (1.26±0.01) were higher than those with AE non-expression (1.00±0.05) (P<0.05) . Conclusion: This study successfully established a leukemia cell model that can induce AE expression. The AE expression blocked the cell cycle and inhibited cell differentiation. The gene sets related to the inflammatory reactions was significantly enriched in U937-AE cells that express AE, and fatty acid metabolism was disordered.
Humans ; U937 Cells ; RUNX1 Translocation Partner 1 Protein ; Leukemia/genetics* ; Core Binding Factor Alpha 2 Subunit/genetics* ; Oncogene Proteins, Fusion/genetics* ; Leukemia, Myeloid, Acute/genetics*