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1.
Br J Neurosurg ; 37(2): 148-157, 2023 Apr.
Article in English | MEDLINE | ID: mdl-34553657

ABSTRACT

PURPOSE: The preferred surgical method for treating adults with moyamoya disease (MMD) remains controversial. The purpose of this study was to compare the efficacy of different surgical methods in the treatment of adults with ischaemic-type MMD. METHODS: We retrospectively analyzed the data of patients with ischaemic-type MMD who underwent indirect bypass (IB), direct bypass (DB), or combined bypass (CB) at the First Affiliated Hospital of Zhengzhou University from January 2013 to December 2019. Postoperative complications, improvements in neurological function, haemodynamics, recurrent stroke and neovascularization were compared. RESULTS: A total of 310 adults (371 hemispheres) with ischaemic-type MMD were included in our study. Ninety, 127, and 154 hemispheres underwent IB, DB and CB, respectively. A total of 24 (6.5%) ischaemic events and 8 (2.8%) symptomatic hyperperfusion events occurred after the operations. There was no significant difference in postoperative complications among the three types of surgery (p = 0.300). During the follow-up period, there were 21 cases (5.7%) of recurrent ischaemia and 12 cases (3.2%) of recurrent haemorrhage. Kaplan-Meier survival analysis showed that the ischaemia-free survival of the CB group was significantly longer than that of the IB group (p = 0.047), but there was no significant difference in haemorrhage-free survival among the three groups (p = 0.660). Six months after the operation, DB and CB were superior to IB in improving cerebral blood flow and neovascularization (p = 0.002), but there was no significant difference in the improvement of neurological function among the three groups at the last follow-up (p = 0.784). CONCLUSION: The three surgical methods achieved satisfactory results in the treatment of ischaemic-type MMD. DB and CB can significantly improve haemodynamics and reduce recurrent stroke. In terms of improving neurological function, the curative effect of the three surgical methods remains to be further explored.


Subject(s)
Cerebral Revascularization , Moyamoya Disease , Humans , Adult , Follow-Up Studies , Retrospective Studies , Moyamoya Disease/diagnostic imaging , Moyamoya Disease/surgery , Cerebral Revascularization/methods , Cerebral Infarction , Postoperative Complications/epidemiology , Neovascularization, Pathologic , Treatment Outcome
2.
Front Oncol ; 11: 748586, 2021.
Article in English | MEDLINE | ID: mdl-34707993

ABSTRACT

PURPOSE: The purpose was to explore the correlation between hematological parameters and the progression of WHO grade II meningioma, and establish a clinical prognostic model based on hematological parameters and clinical prognostic factors to predict the progression-free survival (PFS) of patients. METHODS: A total of 274 patients with WHO grade II meningiomas were included. Patients were randomly divided into a training cohort (192, 70%) and a test cohort (82, 30%). In the training cohort, the least absolute shrinkage and selection operator Cox regression analysis were used to screen for hematological parameters with prognostic value, and the hematological risk model (HRM) was constructed based on these parameters; univariate and multivariate Cox regression analyses were utilized to screen for clinical prognostic factors, and a clinical prognostic model was constructed based on clinical prognostic factors and HRM. The prognostic stability and accuracy of the HRM and clinical prognostic model were verified in the test cohort. Subgroup analysis was performed according to the patients' different clinical characteristics. RESULTS: Preoperative neutrophil-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, platelet-to-lymphocyte ratio, albumin-to-globulin ratio, D-dimer, fibrinogen, and lactate dehydrogenase were associated with the PFS of patients. The areas under curve of the HRM were 0.773 (95% confidence interval [CI] 0.707-0.839) and 0.745 (95% CI 0.637-0.852) in the training cohort and test cohort, respectively. The progression risk was higher in the high-risk group than that in the low-risk group categorized by the optimal cutoff value (2.05) of hematological risk scores. The HRM, age, tumor location, tumor size, peritumoral edema, extent of resection, Ki-67 index, and postoperative radiotherapy were the prognostic factors for the progression of meningiomas. The corrected C-index of the clinical prognosis model was 0.79 in the training cohort. Clinical decision analysis showed that the clinical prognostic model could be used to obtain favorable clinical benefits. In the subgroup analysis, the HRM displayed excellent prognostic stability and general applicability in different subgroups. CONCLUSIONS: Preoperative hematological parameters are associated with the postoperative progression of WHO grade II meningiomas. The clinical prognosis model constructed based on hematological parameters and clinical prognostic factors has favorable predictive accuracy and clinical benefits.

3.
Front Oncol ; 10: 975, 2020.
Article in English | MEDLINE | ID: mdl-32676454

ABSTRACT

Tumor migration and invasion are key pathological processes that contribute to cell metastasis as well as treatment failure in patients with malignant tumors. However, the mechanisms governing tumor cell migration remain poorly understood. By analyzing the tumor-related database and tumor cell lines, we found that preoptic regulatory factor-2 (Porf-2) is downexpressed in both neuroblastoma and glioma. Using in vitro assays, our data demonstrated that the expression of Porf-2 inhibits tumor cell migration both in neuroblastoma and glioma cell lines. Domain-mutated Porf-2 plasmids were then constructed, and it was found that the GAP domain, which plays a role in the inactivation of Rac1, is the functional domain for inhibiting tumor cell migration. Furthermore, by screening potential downstream effectors, we found that Porf-2 can reduce MMP-2 and MMP-9 expression. Overexpression of MMP-2 blocked the inhibitory effect of Porf-2 in tumor cell migration both in vitro and in vivo. Taken together, we show for the first time that Porf-2 is capable of suppressing tumor cell migration via its GAP domain and the downregulation of MMP-2/9, suggesting that targeting Porf-2 could be a promising therapeutic strategy for nervous system tumors.

4.
RSC Adv ; 10(3): 1498-1506, 2020 01 07.
Article in English | MEDLINE | ID: mdl-35494689

ABSTRACT

Long non-coding RNA small nucleolar RNA host gene 5 (lncRNA SNHG5) has been reported to participate in the occurrence and development of glioma. However, the function and underlying molecular mechanisms of SNHG5 in glioma remain largely unknown. The expressions of SNHG5, microRNA-1297 (miR-1297) and karyopherin subunit alpha 2 (KPNA2) in glioma tissues and cells were evaluated by quantitative reverse transcription-polymerase chain reaction (qRT-PCR) or western blot. 3-(4,5-Dimethyl-2-thiazolyl)-2,5-diphenyl-2-H-tetrazolium bromide (MTT) assay and flow cytometry were used to detect cell viability and apoptosis, respectively. Western blot was also performed to detect the expressions of autophagy-associated proteins. The relationship among lncRNA SNHG5, miR-1297 and KPNA2 was verified by luciferase reporter assay and RNA immunoprecipitation (RIP) assay. SNHG5 and KPNA2 were over expressed, and the level of miR-1297 was down-regulated in glioma tissues and cell lines. Knockdown of SHNG5 promoted apoptosis, while suppressing cell viability and autophagy of A172 and LN340 cells. Meanwhile, SHNG5 harbored the binding sites with miR-1297, and a negative correlation between the expression of SNHG5 and miR-1297 in glioma tissues was also observed. Interestingly, silencing of miR-1297 undermined the SHNG5 depletion-mediated effect on cell viability, apoptosis, and autophagy. KPNA2 was a direct target of miR-1297, and negatively regulated by miR-1297. More importantly, gain of KPNA2 mitigated the effect of SHNG5l knockdown on glioma cells. Silencing of SNHG5 had an implication in inhibiting apoptosis and stimulating cell viability and autophagy by the miR-1297/KPNA2 axis in glioma.

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