RESUMO
Chronic myeloid leukemia (CML) with e6a2 transcript type is very rare in clinic,which is usually related to disease aggressiveness. Its clinical characteristics and relationship with tyrosine kinase inhibitor efficacy are still unclear. In this paper, the clinical characteristics and related laboratory tests of a patient with e6a2 fusion gene positive CML characterized by multiple osteolytic bone destruction throughout the body and eosinophil infiltration in gastrointestinal tract, lymph nodes and other organs were retrospectively analyzed, and the relevant literature was reviewed. The patient was Ph chromosome positive with chromosome +8, and the common BCR::ABL1 transcript of CML was negative, but e6a2 transcript was positive detected by RT-PCR. The patient was treated with dasatinib 100 mg/d. Three months later, the patients achieved CHR, CCyR and MR4.0. However, the e6a2 transcript is very rare in clinical practice, and more cases of e6a2 transcript need to be studied to clarify its clinical characteristics and improve the treatment effect of these rare cases.
Assuntos
Leucemia Mielogênica Crônica BCR-ABL Positiva , Humanos , Leucemia Mielogênica Crônica BCR-ABL Positiva/genética , Masculino , Proteínas de Fusão Oncogênica/genéticaRESUMO
Quantitative analysis of irregular anatomical structures is crucial in oral medicine, but clinicians often typically measure only several representative indicators within the structure as references. Deep learning semantic segmentation offers the potential for entire quantitative analysis. However, challenges persist, including segmentation difficulties due to unclear boundaries and acquiring measurement landmarks for clinical needs in entire quantitative analysis. Taking the palatal alveolar bone as an example, we proposed an artificial intelligence measurement tool for the entire quantitative analysis of irregular dental structures. To expand the applicability, we have included lightweight networks with fewer parameters and lower computational demands. Our approach finally used the lightweight model LU-Net, addressing segmentation challenges caused by unclear boundaries through a compensation module. Additional enamel segmentation was conducted to establish a measurement coordinate system. Ultimately, we presented the entire quantitative information within the structure in a manner that meets clinical needs. The tool achieved excellent segmentation results, manifested by high Dice coefficients (0.934 and 0.949), intersection over union (0.888 and 0.907), and area under the curve (0.943 and 0.949) for palatal alveolar bone and enamel in the test set. In subsequent measurements, the tool visualizes the quantitative information within the target structure by scatter plots. When comparing the measurements against representative indicators, the tool's measurement results show no statistically significant difference from the ground truth, with small mean absolute error, root mean squared error, and errors interval. Bland-Altman plots and intraclass correlation coefficients indicate the satisfactory agreement compared with manual measurements. We proposed a novel intelligent approach to address the entire quantitative analysis of irregular image structures in the clinical setting. This contributes to enabling clinicians to swiftly and comprehensively grasp structural features, facilitating the design of more personalized treatment plans for different patients, enhancing clinical efficiency and treatment success rates in turn.
Assuntos
Inteligência Artificial , Medicina Bucal , Humanos , Esmalte Dentário , Processamento de Imagem Assistida por ComputadorRESUMO
OBJECTIVE: To investigate the role of RNA-binding motif protein X-linked (RBMX) in regulating the proliferation, migration, invasion and glycolysis in human bladder cancer cells. METHODS: A lentivirus vectors system and RNA interference technique were used to construct bladder cancer 1376 and UC-3 cell models with RBMX overexpression and knockdown, respectively, and successful cell modeling was verified using RT-qPCR and Western blotting. Proliferation and colony forming ability of the cells were evaluated using EdU assay and colony-forming assay, and cell migration and invasion abilities were determined using Transwell experiment. The expressions of glycolysis-related proteins M1 pyruvate kinase (PKM1) and M2 pyruvate kinase (PKM2) were detected using Western blotting. The effects of RBMX overexpression and knockdown on glycolysis in the bladder cancer cells were assessed using glucose and lactic acid detection kits. RESULTS: RT-qPCR and Western blotting confirmed successful construction of 1376 and UC-3 cell models with RBMX overexpression and knockdown. RBMX overexpression significantly inhibited the proliferation, clone formation, migration and invasion of bladder cancer cells, while RBMX knockdown produced the opposite effects. Western blotting results showed that RBMX overexpression increased the expression of PKM1 and decreased the expression of PKM2, while RBMX knockdown produced the opposite effects. Glucose consumption and lactate production levels were significantly lowered in the cells with RBMX overexpression (P < 0.05) but increased significantly following RBMX knockdown (P < 0.05). CONCLUSION: RBMX overexpression inhibits bladder cancer progression and lowers glycolysis level in bladder cancer cells by downregulating PKM2 expression, suggesting the potential of RBMX as a molecular target for diagnosis and treatment of bladder cancer.
Assuntos
Piruvato Quinase , Neoplasias da Bexiga Urinária , Humanos , Linhagem Celular Tumoral , Proliferação de Células , Glucose/farmacologia , Glicólise , Ribonucleoproteínas Nucleares Heterogêneas/metabolismo , Piruvato Quinase/genética , Piruvato Quinase/metabolismo , Neoplasias da Bexiga Urinária/genéticaRESUMO
This study aimed to investigate the efficacy of minimally invasive tonsil surgery for the treatment of obstructive sleep apnea-hypopnea syndrome (OSAHS) in children. Tonsil ablation or turbinate reduction was performed on 49 pediatric patients with OSAHS by minimally invasive tonsil surgery. In order to evaluate the efficacy of surgery, a comparison was conducted between pre-operation and post-operation data in terms of the symptoms, signs and polysomnography test. Total effectiveness rate of the surgery was 83.7%. Subgroup analysis was also performed based on the severity of their conditions: mild, moderate, and severe groups had an effectiveness rate of 90.0, 88.9, and 66.7%, respectively (Hc=6.665, P<0.05). Postoperatively, the apnea-hypopnea index, the minimum oxygen saturation (SaO2), and corresponding symptoms improved compared to pre-operation conditions (P<0.05). Minimally invasive tonsil surgery was a safe and effective method for treating OSAHS in children.