A case of high-grade non-intestinal paranasal sinus adenocarcinoma primary in the maxillary sinus: targeted therapy after postoperative immunocombination with chemotherapy.

BACKGROUND: High-grade non-intestinal-type sinonasal adenocarcinoma (non-ITAC) is a rare and aggressive form of adenocarcinoma with poor prognosis. The current standard treatment approach involves surgery combined with radiation therapy. However, there is a need for exploring additional treatment modalities to improve patient outcomes. CASE PRESENTATION: We present a case of a 65-year-old male patient who presented with pain in the right maxillary sinus and was diagnosed with high-grade non-ITAC following surgery. Postoperative pathology revealed tumor invasion into bone tissue and vascular invasion, necessitating further treatment. The patient underwent radiation therapy, followed by immunotherapy with carilizumab combined with chemotherapy. During the maintenance immunotherapy period, tumor progression was observed, and genetic testing identified EGFR and TP53 mutations. Consequently, the patient was treated with gefitinib, a targeted therapy drug. Notably, the patient's lung metastases showed a gradual reduction in size, indicating a favorable treatment response. The patient is currently undergoing oral treatment with gefitinib. CONCLUSIONS: This case report highlights the potential benefit of combining immunotherapy and targeted therapy in the treatment of high-grade non-ITAC. Despite the rarity of this cancer type, this approach may offer an alternative treatment strategy for patients with this aggressive disease. We hope that this case can contribute to a deeper understanding of high-grade non-ITAC and promote the application of immunotherapy and targeted therapy in improving survival rates for patients with this condition.

Identifying potential drug targets for varicose veins through integration of GWAS and eQTL summary data.

Background: Varicose veins (VV) are a common chronic venous disease that is influenced by multiple factors. It affects the quality of life of patients and imposes a huge economic burden on the healthcare system. This study aimed to use integrated analysis methods, including Mendelian randomization analysis, to identify potential pathogenic genes and drug targets for VV treatment. Methods: This study conducted Summary-data-based Mendelian Randomization (SMR) analysis and colocalization analysis on data collected from genome-wide association studies and cis-expression quantitative trait loci databases. Only genes with PP.H4 > 0.7 in colocalization were chosen from the significant SMR results. After the above analysis, we screened 12 genes and performed Mendelian Randomization (MR) analysis on them. After sensitivity analysis, we identified four genes with potential causal relationships with VV. Finally, we used transcriptome-wide association studies and The Drug-Gene Interaction Database data to identify and screen the remaining genes and identified four drug targets for the treatment of VV. Results: We identified four genes significantly associated with VV, namely, KRTAP5-AS1 [Odds ratio (OR) = 1.08, 95% Confidence interval (CI): 1.05-1.11, p = 1.42e-10] and PLEKHA5 (OR = 1.13, 95% CI: 1.06-1.20, p = 6.90e-5), CBWD1 (OR = 1.05, 95% CI: 1.01-1.11, p = 1.42e-2) and CRIM1 (OR = 0.87, 95% CI: 0.81-0.95, p = 3.67e-3). Increased expression of three genes, namely, KRTAP5-AS1, PLEKHA5, and CBWD1, was associated with increased risk of the disease, and increased expression of CRIM1 was associated with decreased risk of the disease. These four genes could be targeted for VV therapy. Conclusion: We identified four potential causal proteins for varicose veins with MR. A comprehensive analysis indicated that KRTAP5-AS1, PLEKHA5, CBWD1, and CRIM1 might be potential drug targets for varicose veins.

Cloud Computing Image Recognition System Assists the Construction of the Internet of Things Model of Administrative Management Event Parameters.

In order to successfully apply the Internet of Things and cloud computing to the administrative management of spatial structures and realize the systematization, digitization, and intelligence of administrative management, this article draws on research experience in related fields and considers the data characteristics and computing tasks of administrative management. The whole cycle of transmission, storage, postprocessing, and visualization is the main line of research, and a cloud computing-based spatial structure administrative management IoT system is constructed. First, by summarizing the application status of the Internet of Things, the general Internet of Things system is summarized into three levels, and combined with the specific work in the spatial structure administrative management, the overall framework of the spatial structure administrative management of the Internet of Things system is proposed, and the functional sublayers are carried out. Secondly, in response to the above problems, through the traditional image recognition system research and practical application investigation, in order to meet the user's requirements for the computing efficiency and recognition accuracy of the image recognition system, an image recognition system in the cloud computing environment is proposed. It proposes a fuzzy evaluation algorithm of health grade hierarchy analysis optimized for the index system and scoring system and a calculation method that uses time series to identify regular outliers. The optical image pixel-level fusion method and the infrared and visible image fusion method based on complementary information are proposed, and the image fusion software is developed. Finally, in order to enable the application layer to use cluster resources to efficiently and intelligently process massive monitoring data containing redundancy, heterogeneity, anomalies, and many other defects, according to the calculation process of each specific task of data preprocessing and postprocessing in the application layer, demonstrations are made one by one. After analysis, it is concluded that vertical storage of data blocks according to different sensor channels is the optimal strategy.

Guideline conformity to the Stupp regimen in patients with newly diagnosed glioblastoma multiforme in China.

Aims: To determine how consistently Chinese glioblastoma multiforme (GBM) patients were treated according to the Stupp regimen. Patients and methods: The proportion of treatments conforming to the Stupp regimen and reasons for nonconformity were evaluated in 202 newly diagnosed GBM patients. Results: Only 15.8% of GBM patients received treatments compliant with the Stupp regimen. The main deviations were temozolomide dosages >75 mg/m2 (58/120; 48.3%) and treatment durations <42 days (84/120; 70.0%) in the concomitant phase and temozolomide dosages <150 mg/m2 (89/101; 88.1%) in the maintenance phase. Median overall survival (27.09 vs 18.21 months) and progression-free survival (14.27 vs 12.10 months) were longer in patients who received Stupp regimen-compliant treatments. Conclusion: Increased conformity to the Stupp regimen is needed for GBM patients in China.

Lay abstract In 2005 the European Organization for Research and Treatment of Cancer 26981 study led to US FDA approval for the use of temozolomide in combination with radiotherapy to treat glioblastoma multiforme (GBM). The Stupp regimen consists of fractionated focal irradiation in daily fractions of 2 Gy given 5 days/week for 6 weeks (a total of 60 Gy), plus concomitant daily temozolomide (75 mg/m²/day, 7 days/week from the first to the last day of radiotherapy), followed by six cycles of adjuvant temozolomide (150­200 mg/m²/day for 5 days during each 28-day cycle). In 2012 the Chinese guidelines for the diagnosis and treatment of glioma of the CNS recommended the Stupp regimen as first-line therapy for newly diagnosed GBM. In the present study, compliance of GBM treatments with the Stupp regimen in 28 Chinese centers from 2012­2016 was evaluated. Only 15.8% of GBM patients received treatments compliant with the Stupp regimen. The main deviations related to temozolomide dosages and treatment durations in the concomitant and maintenance phases. Median overall survival (27.09 vs 18.21 months) and progression-free survival (14.27 vs 12.10 months) were longer in patients who received Stupp regimen-compliant treatments.

An efficient and non-enzymatic method for isolation and culture of endothelial cells from the nidus of human cerebral arteriovenous malformations.

In this report, we describe an efficient and non-enzymatic method for isolating and culturing endothelial cells (ECs) from the nidus of surgically resected arteriovenous malformation (AVM) specimens. These cultured cells possessed typical phenotypic markers (i.e. von Willebrand factor and CD34), as well as morphological and ultrastructural characteristics of ECs. However, they had activated Notch-1 signaling, which plays a critical role in the development of AVM. The present study suggests that hypoxic endothelial cells from the nidus of human cerebral arteriovenous malformation (CAVMECs) have angiogenic potentials, as our data showed that VEGF gene expression and cell proliferation were more evident with prolonged hypoxia. In our study, we successfully used the vascular tissue explants adherent method to isolate and culture CAVMECs with high purity. This may prove to be a useful tool for studying the molecular mechanisms that mediate abnormal vessel development and maintenance in AVM.

The protective mechanism for the blood-brain barrier induced by aminoguanidine in surgical brain injury in rats.

This study was performed to investigate the mechanism of blood-brain barrier (BBB) permeability change, which was induced by aminoguanidine (AG) after surgical brain injury (SBI) in rats. Compared to control group, AG (150 mg/kg, i.p.) significantly reduced Evans blue extravasation into brain tissue at 24 h after surgical resection, it also induced a 32% decrease of malondialdehyde (MDA) values and a 1.1-fold increase of the glutathione (GSH) levels at 12 h after injury. The expression of inducible nitric oxide synthase (iNOS) reached the peak value at 24 h after SBI, which was significantly attenuated after AG treatment. In addition, ZO-1 protein was up-regulated by AG (150 mg/kg) treatment at 24 h after SBI. Our results indicated that AG could protect the BBB after SBI, which could be correlated with antioxidative property, the down-regulation of iNOS and up-regulation of tight junction protein expression.

Holistic and network analysis of meningioma pathogenesis and malignancy.

Meningiomas, which originate from arachnoid cells and constitute the largest subgroup of all intracranial tumors, are generally benign, yet have the capacity to progress into a higher histological grade of malignancy associated with an increase in biological aggressivity and/or capacity to recur. To elucidate meningioma pathogenesis and malignancy, we applied a holistic and network approach analyzing cDNA and tissue microarray results. A potential pathway leading to meningioma angiogenesis, apoptosis and proliferation was evidenced as well as a regulatory network of the biomarkers including Ki-67, AR, CD34, P53, c-MYC, etc. which might support clinical research. In this potential pathway, ITGB1 could be the most important "superoncogene" playing a vital role in apoptosis and proliferation, while FOXO3A, MDM4 and MT3 are important to the malignancy process. Some genes are first reported that could explain why radiation induces meningioma and why more female than male patients are affected. Further, we present the hypothesis that HIV-Tat protein might have a close relationship with meningioma pathogenesis and malignancy.