The role of SLC39A4 in the prognosis, immune microenvironment, and contribution to malignant behavior in vivo and in vitro of cervical cancer.

BACKGROUND: Cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) are becoming more common in younger women. Solute carrier family 39 member 4 (SLC39A4) produces a zinc ion transporter involved in metastasis and invasion of tumors. METHODS: The Cancer Genome Atlas RNA-seq data was used to investigate the expression of SLC39A4 and its prognostic potential. The assessment of the effect of SLC39A4 on cell growth and migration in CESC was conducted using MTT, colony formation, and Transwell assays. SLC39A4 was studied in vivo using a xenograft mouse model, and its functional involvement in oncogenesis was investigated by identifying the associated differentially expressed genes (DEGs). We evaluated the relationships among SLC39A4 levels, chemosensitivity, radiosensitivity and immune infiltration. RESULTS: SLC39A4 was upregulated in CESC samples, and individuals with greater SLC39A4 mRNA expression had shorter overall survival. SLC39A4 has been identified to be a regulator of tumor cell metastasis and proliferation in vivo and in vitro, with an area under the curve of 0.874 for diagnosing CESC. In total, 948 DEGs were discovered to be enriched in key CESC progression-related signaling pathways. Additionally, intratumoral immune checkpoint and infiltration activity were associated with SLC39A4 expression. High SLC39A4 expression exhibited poor chemosensitivity and radiosensitivity profiles. CONCLUSION: In conclusion, SLC39A4 is a key regulator of CESC development, prognosis, and the composition of the tumor immune microenvironment. SLC39A4 could be used as a prognostic or diagnostic screening tool and as a potential target for CESC treatment.

Mortality prediction with adaptive feature importance recalibration for peritoneal dialysis patients.

The study aims to develop AICare, an interpretable mortality prediction model, using electronic medical records (EMR) from follow-up visits for end-stage renal disease (ESRD) patients. AICare includes a multichannel feature extraction module and an adaptive feature importance recalibration module. It integrates dynamic records and static features to perform personalized health context representation learning. The dataset encompasses 13,091 visits and demographic data of 656 peritoneal dialysis (PD) patients spanning 12 years. An additional public dataset of 4,789 visits from 1,363 hemodialysis (HD) patients is also considered. AICare outperforms traditional deep learning models in mortality prediction while retaining interpretability. It uncovers mortality-feature relationships and variations in feature importance and provides reference values. An AI-doctor interaction system is developed for visualizing patients' health trajectories and risk indicators.

S100A10 Overexpression Correlates with Adverse Prognosis, Tumor Microenvironment, and Aggressive Behavior In Vitro and In Vivo of Cervical Cancer.

Background: The incidence of cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) is increasing in women. S100A10 overexpression is commonly reported in various malignancies and is closely associated with tumor cell characteristics and prognosis. Methods: The expression of S100A10 and its prognostic relevance were assessed utilizing RNA-seq data from The Cancer Genome Atlas. S100A10 regulation of CESC cell growth and migration was investigated using CCK-8, colony-forming, and Transwell-based approaches. Xenograft model mice were used to examine the in vivo effects of S100A10, and differentially expressed genes (DEGs) linked to S100A10 were identified to explore its functional role in oncogenesis. Associations between S100A10 levels, chemosensitivity, and the immune microenvironment were assessed, and the mutational and methylation status of S100A10 was evaluated using the cBioPortal and MethSurv databases, respectively. Results: S100A10 was upregulated in CESC samples, and higher S100A10 mRNA levels were associated in poor prognostic outcomes. The area under the curve for S100A10 when diagnosing CESC was 0.935, and S100A10 was found to regulate tumor cell proliferation and metastasis both in vitro and in vivo. Overall, 1125 DEGs enriched in crucial CESC progression-associated signaling pathways were identified. S100A10 expression was also associated with the intratumoral immune microenvironment and immune checkpoint activity. Patients expressing elevated S100A10 levels exhibited distinct chemotherapeutic susceptibility, and methylation of the S100A10 gene was correlated with patient survival outcomes. Conclusion: In summary, this research demonstrated that S100A10 plays a crucial role in regulating CESC development, prognosis, and the intratumoral immune microenvironment. Thus, S100A10 shows potential as a prognostic or diagnostic tool and as a potential target for CESC immunotherapy.

The tumor ghost on MRI after microwave ablation for hepatocellular carcinoma: A new modality to assess the ablative margin.

PURPOSE: The ablated tumor ghost can be visually distinguished on MR images after ablation. This retrospective study aimed to assess the performance of tumor ghost on post-ablation contrast-enhanced MRI with excellular contrast agent gadolinium-DTPA in evaluating the ablative margin of hepatocellular carcinoma (HCC) after microwave ablation (MWA). METHOD: 315 HCC lesions less than 5 cm in 287 patients completely treated by MWA were enrolled in the study. The tumor ghost was characterized as a lower signal intensity area than the surrounding tissues of the ablation zone on T1WI imaging. The ablation margin (AM) status was classified into AM0 (＞5mm) and AM1 (＜5mm) according to the minimum distance between the tumor ghost and ablated zone. Inter-observer agreement between two radiologists on the AM assessment was analyzed using the Cohen κ coefficient. Multivariate analysis using Cox proportional hazard model was performed to investigate independent risk factors for LTP. RESULTS: 175 and 140 tumors were evaluated as AM0 and AM1 through tumor ghost. The inter-observer agreement level between two radiologists for assessment of AM was good (κ coefficient = 0.752, 95 % confidence interval: 0.679-0.825, p < 0.001). The mediate follow-up period was 32.2 months (range 3.0-60.8 months). The incidence of LTP in the AM0 lesions and AM1 lesions was 6.3 % (11/175) and 20.0 % (28/140), respectively. AM status was identified as an independent prognostic factor for LTP (HR 3.057, 95 % CI, 1.445-6.470, p = 0.003). CONCLUSIONS: The assessment of the AM by tumor ghost on post-ablation MRI is an accurate and efficiently method for evaluating the completeness of microwave ablation for hepatocellular carcinoma.

Rasd2 Mediates Acute Fasting-Induced Antidepressant-Like Effects via Dopamine D2 Receptor Activation in Ovariectomized Mice.

BACKGROUND: Previous studies have shown that estrogen and acute fasting for 9 hours have antidepressant-like effects by reducing immobility time in the forced swimming test. Estrogen and acute fasting share a common regulatory gene, Rasd2. RASD2 regulates dopamine D2 receptor (DRD2) transmission, but the role of Rasd2 in the DRD2-mediated antidepressant-like effect of acute fasting has not been examined. METHODS: In this study, open field test, forced swimming test, tail suspension test and sucrose preference test were used for behavioral assessments. RNA-seq, western blot, enzyme-linked immunosorbent assay, and co-immunoprecipitation were used to explore the role of Rasd2 in a depression model induced by ovariectomy and the antidepressant-like effects of 9-hour fasting. RESULTS: The RNA seq results showed that acute fasting induced a significant change in Rasd2 gene expression. Depression-like behaviors induced by ovariectomy were associated with decreased RASD2 and DRD2 protein levels in the hippocampus, and Rasd2 overexpression in the hippocampus alleviated depression-like behaviors and increased DRD2 expression. Nine-hour fasting had antidepressant-like effects in ovariectomized mice by upregulating the protein levels of RASD2, DRD2, CREB-BDNF, Akt, and estrogen receptor beta, and these effects can be blocked by DRD2 antagonists. CONCLUSIONS: Our results suggest that Rasd2 and DRD2 play pivotal roles in depression-like behavior induced by ovariectomy. Rasd2 regulates DRD2-mediated antidepressant-like effects of acute fasting in ovariectomized mice. Rasd2 can therefore be postulated to be a potential therapeutic target for depression and perhaps also a potential predictive marker for depression.

Prediction model for elevated intraocular pressure risk after silicone oil filling based on clinical features.

Background: To evaluate risk factors and further develop prediction models for intraocular pressure elevation (IOP) after vitreoretinal surgery with silicone oil tamponade to support clinical management. Methods: A retrospective study analyzed 1,061 eyes of 1,061 consecutive patients that presented to the Jiangsu Province Hospital between December 2015 and December 2020, the IOP was measured from the preoperative visit and at the 1-week, 1-month, 3-month, and 6-month visits, and the final postoperative visit before silicone oil removal. Four machine learning methods were used to carried out the prediction of IOP elevation: Decision Tree, Logistic Regression, Random Forest, and Gradient-Boosted Decision Trees (GBDT) based on features including demographic and clinical characteristics, preoperative factors and surgical factors. Predictors were selected based on the p-value of the univariate analysis. Results: Elevated intraocular pressure developed in 26.01% of the eyes postoperatively. Elevated intraocular pressure primarily occurred within 1-2 weeks after surgery. Additionally, the majority of IOP values were distributed around 25-40 mmHg. GBDT utilizing features with p-values less than 0.5 from the hypothesis testing demonstrated the best predictive performance for 0.7944 in accuracy. The analysis revealed that age, sex, hypertension, diabetes, myopia, retinal detachment, lens status and biological parameters have predictive value. Conclusion: Age, sex, hypertension, diabetes, myopia, retinal detachment, lens status and biological parameters have influence on postoperative intraocular pressure elevation for patients with silicone oil tamponade after pars plana vitrectomy. The prediction model showed promising accuracy for the occurrence of IOP elevation. This may have some reference significance for reducing the incidence of high intraocular pressure after pars plana vitrectomy combined with silicone oil filling.

Estimating Urban Road GPS Environment Friendliness with Bus Trajectories: A City-Scale Approach †.

GPS is taken as the most prevalent positioning system in practice. However, in urban areas, as the GPS satellite signal could be blocked by buildings, the GPS positioning is not accurate due to multi-path errors. Estimating the negative impact of urban environments on GPS accuracy, that is the GPS environment friendliness (GEF) in this paper, will help to predict the GPS errors in different road segments. It enhances user experiences of location-based services and helps to determine where to deploy auxiliary assistant positioning devices. In this paper, we propose a method of processing and analysing massive historical bus GPS trajectory data to estimate the urban road GEF integrated with the contextual information of roads. First, our approach takes full advantage of the particular feature that bus routes are fixed to improve the performance of map matching. In order to estimate the GEF of all roads fairly and reasonably, the method estimates the GPS positioning error of each bus on the roads that are not covered by its route, by taking POIinformation, tag information of roads, and building layout information into account. Finally, we utilize a weighted estimation strategy to calculate the GEF of each road based on the GPS positioning performance of all buses. Based on one month of GPS trajectory data of 4835 buses within the second ring road in Chengdu, China, we estimate the GEF of 8831 different road segments and verify the rationality of the results by satellite maps, street views, and field tests.

Effects of Berberine and Its Derivatives on Cancer: A Systems Pharmacology Review.

Numerous studies have shown that berberine and its derivatives demonstrate important anti-tumor effects. However, the specific underlying mechanism remains unclear. Therefore, based on systems pharmacology, this review summarizes the information available on the anti-tumor effects and mechanism of berberine and its derivatives. The action and potential mechanism of action of berberine and its derivatives when used in the treatment of complex cancers are systematically examined at the molecular, cellular, and organismic levels. It is concluded that, with further in-depth investigations on their toxicity and efficacy, berberine and its derivatives have the potential for use as drugs in cancer therapy, offering improved clinical efficacy and safety.

[Multi-spectroscopy applied to study blue gel pen inks].

Multi-spectroscopy, such as FTIR, dispersive Raman spectroscopy and UV-Vis, was applied to characterize the blue gel pen inks on paper at the time in the present study. Twenty eight collected blue gel pens with different brands and serials were separated into four different classes by different absorptions or Raman shift. Composition changing of blue gel pen inks on paper during artificial ageing was studied via TD-MS as well. The advantage and disadvantage of this spectroscopy used in analyzing and identifying blue gel pen inks on paper, and the potential application in the research on relative and absolute ageing of documents were discussed.