2D Ordered Mesoporous Lamellar Hetero-Nanochannels with Asymmetric Wettability for Controllable Ion Transport.

Heterogeneous membranes play a crucial role in osmotic energy conversion by effectively reducing concentration polarization. However, most heterogeneous membranes mitigate concentration polarization through an asymmetric charge distribution, resulting in compromised ion selectivity. Herein, hetero-nanochannels with asymmetric wettability composed of 2D mesoporous carbon and graphene oxide are constructed. The asymmetric wettability of the membrane endows it with the ability to suppress the concentration polarization without degrading the ion selectivity, as well as achieving a diode-like ion transport feature. As a result, enhanced osmotic energy harvesting is achieved with a power density of 6.41 W m-2 . This represents a substantial enhancement of 102.80-137.85% when compared to homogeneous 2D membranes, surpassing the performance of the majority of reported 2D membranes. Importantly, the membrane can be further used for high-performance ionic power harvesting by regulating ion transport, exceeding previously reported data by 89.1%.

CT texture analysis in predicting treatment response and survival in patients with hepatocellular carcinoma treated with transarterial chemoembolization using random forest models.

BACKGROUND: Using texture features derived from contrast-enhanced computed tomography (CT) combined with general imaging features as well as clinical information to predict treatment response and survival in patients with hepatocellular carcinoma (HCC) who received transarterial chemoembolization (TACE) treatment. METHODS: From January 2014 to November 2022, 289 patients with HCC who underwent TACE were retrospectively reviewed. Their clinical information was documented. Their treatment-naïve contrast-enhanced CTs were retrieved and reviewed by two independent radiologists. Four general imaging features were evaluated. Texture features were extracted based on the regions of interest (ROIs) drawn on the slice with the largest axial diameter of all lesions using Pyradiomics v3.0.1. After excluding features with low reproducibility and low predictive value, the remaining features were selected for further analyses. The data were randomly divided in a ratio of 8:2 for model training and testing. Random forest classifiers were built to predict patient response to TACE treatment. Random survival forest models were constructed to predict overall survival (OS) and progress-free survival (PFS). RESULTS: We retrospectively evaluated 289 patients (55.4 ± 12.4 years old) with HCC treated with TACE. Twenty features, including 2 clinical features (ALT and AFP levels), 1 general imaging feature (presence or absence of portal vein thrombus) and 17 texture features, were included in model construction. The random forest classifier achieved an area under the curve (AUC) of 0.947 with an accuracy of 89.5% for predicting treatment response. The random survival forest showed good predictive performance with out-of-bag error rate of 0.347 (0.374) and a continuous ranked probability score (CRPS) of 0.170 (0.067) for the prediction of OS (PFS). CONCLUSIONS: Random forest algorithm based on texture features combined with general imaging features and clinical information is a robust method for predicting prognosis in patients with HCC treated with TACE, which may help avoid additional examinations and assist in treatment planning.

ST-CRMF: Compensated Residual Matrix Factorization with Spatial-Temporal Regularization for Graph-Based Time Series Forecasting.

Despite the extensive efforts, accurate traffic time series forecasting remains challenging. By taking into account the non-linear nature of traffic in-depth, we propose a novel ST-CRMF model consisting of the Compensated Residual Matrix Factorization with Spatial-Temporal regularization for graph-based traffic time series forecasting. Our model inherits the benefits of MF and regularizer optimization and further carries out the compensatory modeling of the spatial-temporal correlations through a well-designed bi-directional residual structure. Of particular concern is that MF modeling and later residual learning share and synchronize iterative updates as equal training parameters, which considerably alleviates the error propagation problem that associates with rolling forecasting. Besides, most of the existing prediction models have neglected the difficult-to-avoid issue of missing traffic data; the ST-CRMF model can repair the possible missing value while fulfilling the forecasting tasks. After testing the effects of key parameters on model performance, the numerous experimental results confirm that our ST-CRMF model can efficiently capture the comprehensive spatial-temporal dependencies and significantly outperform those state-of-the-art models in the short-to-long terms (5-/15-/30-/60-min) traffic forecasting tasks on the open Seattle-Loop and METR-LA traffic datasets.

Kinetics-Regulated Interfacial Selective Superassembly of Asymmetric Smart Nanovehicles with Tailored Topological Hollow Architectures.

Hollow nanoparticles featuring tunable structures with spatial and chemical specificity are of fundamental interest. However, it remains a significant challenge to design and synthesize asymmetric nanoparticles with controllable topological hollow architecture. Here, a versatile kinetics-regulated cooperative polymerization induced interfacial selective superassembly strategy is demonstrated to construct a series of asymmetric hollow porous composites (AHPCs) with tunable diameters, architectures and components. The size and number of patches on Janus nanoparticles can be precisely manipulated by the precursor and catalyst content. Notably, AHPCs exhibit excellent photothermal conversion performance under the irradiation of a near infrared (NIR) laser. Thus, AHPCs are utilized as NIR light-triggered nanovehicles and cargos can be controllably released. In brief, this versatile superassembly approach offers a streamlined and powerful toolset to design diverse asymmetric hollow porous composites.

Analysis of competing endogenous RNA network identifies a poorly differentiated cancer-specific RNA signature for hepatocellular carcinoma.

Plenty of evidence has suggested that long noncoding RNAs (lncRNAs) play a vital role in competing endogenous RNA (ceRNA) networks. Poorly differentiated hepatocellular carcinoma (PDHCC) is a malignant phenotype. This paper aimed to explore the effect and the underlying regulatory mechanism of lncRNAs on PDHCC as a kind of ceRNA. Additionally, prognosis prediction was assessed. A total of 943 messenger RNAs (mRNAs), 86 miRNAs, and 468 lncRNAs that were differentially expressed between 137 PDHCCs and 235 well-differentiated HCCs were identified. Thereafter, a ceRNA network related to the dysregulated lncRNAs was established according to bioinformatic analysis and included 29 lncRNAs, 9 miRNAs, and 96 mRNAs. RNA-related overall survival (OS) curves were determined using the Kaplan-Meier method. The lncRNA ARHGEF7-AS2 was markedly correlated with OS in HCC (P = .041). Moreover, Cox regression analysis revealed that patients with low ARHGEF7-AS2 expression were associated with notably shorter survival time (P = .038). In addition, the area under the curve values of the lncRNA signature for 1-, 3-, and 5-year survival were 0.806, 0.741, and 0.701, respectively. Furthermore, a lncRNA nomogram was established, and the C-index of the internal validation was 0.717. In vitro experiments were performed to demonstrate that silencing ARHGEF7-AS2 expression significantly promoted HCC cell proliferation and migration. Taken together, our findings shed more light on the ceRNA network related to lncRNAs in PDHCC, and ARHGEF7-AS2 may be used as an independent biomarker to predict the prognosis of HCC.

Multi-Stage Pedestrian Positioning Using Filtered WiFi Scanner Data in an Urban Road Environment.

Since widespread applications of wireless sensors networks, low-speed traffic positioning based on the received signal strength indicator (RSSI) from personal devices with WiFi broadcasts has attracted considerable attention. This study presents a new range-based localization method for outdoor pedestrian positioning by using the combination of offline RSSI distance estimation and real-time continuous position fitting, which can achieve high-position accuracy in the urban road environment. At the offline stage, the piecewise polynomial regression model (PPRM) is proposed to formulate the Euclidean distance between the targets and WiFi scanners by replacing the common propagation model (PM). The online stage includes three procedures. Firstly, a constant velocity Kalman filter (CVKF) is developed to smooth the real-time RSSI time series and estimate the target-detector distance. Then, a least squares Taylor series expansion (LS-TSE) is developed to calculate the actual 2-dimensional coordinate with the replacement of existing trilateral localization. Thirdly, a trajectory-based technique of the unscented Kalman filter (UKF) is introduced to smooth estimated positioning points. In tests that used field scenarios from Guangzhou, China, the experiments demonstrate that the combined CVKF and PPRM can achieve the highly accurate distance estimator of <1.98 m error with the probability of 90% or larger, which outperforms the existing propagation model. In addition, the online method can achieve average positioning error of 1.67 m with the much better than classical methods.

Imidazo[1,2-a]pyridin-6-yl-benzamide analogs as potent RAF inhibitors.

A series of imidazo[1,2-a]pyridin-6-yl-benzamide analogs was designed as inhibitors of B-RAFV600E. Medicinal chemistry techniques were employed to explore the SAR for this series and improve selectivity versus P38 and VEGFR2.

Nasopharyngeal carcinoma patients with retropharyngeal lymph node metastases: a minimum axial diameter of 6 mm is a more accurate prognostic predictor than 5 mm.

OBJECTIVE: The criteria for the diagnosis of metastatic retropharyngeal lymph nodes (RLNs) have not yet been resolved and are not included in the current edition of the American Joint Committee on Cancer (AJCC) staging system (seventh edition) for the staging of nasopharyngeal carcinoma (NPC). The aim of this study was to use MRI to identify an RLN size criterion that can accurately predict prognosis in patients with NPC. MATERIALS AND METHODS: Eight hundred seventeen patients with newly diagnosed localized NPC were identified. All of the patients underwent MRI before treatment with definitive radiation therapy. All the MRI studies and medical records were reviewed retrospectively. Overall survival (OS), distant metastasis-free survival (DMFS), and local relapse-free survival (LRFS) were assessed using SPSS software (version 17.0). RESULTS: RLN size cutoffs of ≥ 5 mm and of ≥ 6 mm were used. There was no significant difference in OS (p = 0.216), DMFS (p = 0.081), or LRFS (p = 0.067) in patients with RLNs ≥ 5 mm and in those with RLNs < 5 mm. When 6 mm was used as a size cutoff, significant differences in OS (p = 0.000) and DMFS (p = 0.001) were identified; there was no significant difference observed for LRFS (p = 0.380). CONCLUSION: A minimum axial RLN diameter of 6 mm was a more accurate prognostic predictor in NPC patients with RLN metastases than 5 mm.

[Computed tomography-guided percutaneous microwave ablation for diaphragm-abutting liver tumors: assessments of safety and short-term therapeutic efficacies].

OBJECTIVE: To assess the safety and short-term therapeutic efficacies of computed tomography (CT)-guided percutaneous microwave ablation (PMA) for diaphragm-abutting liver tumors. METHODS: A total of 69 patients with 75 diaphragm-abutting liver tumors (tumor from diaphragmc ≤ 5 mm) underwent CT-guided PMA. According to the site of diaphragm-abutting lesions, they were divided into neighboring muscle group (group A) and neighboring aponeurosis group (group B); According to the size of lesions, they were divided into <2.5 cm group (group I) and ≥ 2.5 cm group (group II). The complications of intra and post-ablation within 2 weeks were recorded. They underwent contrast enhanced CT (CECT) or contrast enhanced MRI (CEMRI) at Month 1, 3 and 6 post-ablation. Then CEMRI or CECT was re-checked every 3-6 months. All patients were followed up for 12-30 months. Comparative analyses were performed for short-term therapeutic efficacies. RESULTS: At Month 1 post-PMA, complete response (CR) rate was 86.7% (65/75) and incomplete response (ICR) rate 13.3% (10/75). After additional ablation, 5 lesions transformed into CR.No statistical difference in CR rate existed between groups A and B (95.0% vs 77.1%). The CR rate of group I was obviously higher than that of group II (95.0% vs 77.1%). The 1-year survival rate was 97.1%. The occurring rate of minor complications was 42.0% (29/69) and that of serious complications 2.9% (2/69).No statistical difference of occurring rates of minor complications existed between groups A and B(38.1%vs 45.5%). But the occurring rates of diaphragmatic burns, pulmonary exudation and pneumothorax had obvious statistical differences between two groups. The occurring rate of minor complications in group I was obviously lower than that of group II (30.0% vs 54.3%) and serious complications occurred in group II. Minor complications were reversible and recovered after non-special or symptomatic treatment. Two cases of serious complications improved after standard clinical treatment. CONCLUSION: CT-guided PMA for diaphragm-abutting liver tumors is both safe and effective.However puncture route and power/time should be optimized according to tumor size and location.

[Survival analysis and recommendation of subdividing M1 stage according to metastatic status of colorectal cancer].

OBJECTIVE: To subdivide the M1 stage of patients to predict better survival groups and assess the predictive factors of prognosis to select personalized cancer treatments. METHODS: From the records of 666 colorectal cancer cases treated at our hospital during January 1995 to December 2010, we analyzed the site of metastases, number of metastases, size of hepatic metastatic tumor and corresponding treatments. According to the results, we made recommendations for subdividing the M1 stage to guide individualized treatments. RESULTS: The metastatic median survival of liver metastasis and non-liver metastasis were 18.7 vs 22.9 months (P = 0.082). And the median survival of single organ metastasis, double organ metastasis and multiple organ metastasis were 24.8 vs 15.6 vs 10.9 months, (P < 0.01).With no more than 3 liver lesions, the patients received operation or ablation therapy plus chemotherapy and their median survival was longer than those on chemotherapy only (49.6 vs 22.3 months, P < 0.01). CONCLUSION: According to metastatic characteristics, different clinical features and treatments result in significantly different survivals and prognoses in metastatic colorectal cancer patients.

Iterative-Weighted Thresholding Method for Group-Sparsity-Constrained Optimization With Applications.

Taking advantage of the natural grouping structure inside data, group sparse optimization can effectively improve the efficiency and stability of high-dimensional data analysis, and it has wide applications in a variety of fields such as machine learning, signal processing, and bioinformatics. Although there has been a lot of progress, it is still a challenge to construct a group sparse-inducing function with good properties and to identify significant groups. This article aims to address the group-sparsity-constrained minimization problem. We convert the problem to an equivalent weighted lp,q -norm ( , ) constrained optimization model, instead of its relaxation or approximation problem. Then, by applying the proximal gradient method, a solution method with theoretical convergence analysis is developed. Moreover, based on the properties proved in the Lagrangian dual framework, the homotopy technique is employed to cope with the parameter tuning task and to ensure that the output of the proposed homotopy algorithm is an L -stationary point of the original problem. The proposed weighted framework, with the central idea of identifying important groups, is compatible with a wide range of support set identification strategies, which can better meet the needs of different applications and improve the robustness of the model in practice. Both simulated and real data experiments demonstrate the superiority of the proposed method in terms of group feature selection accuracy and computational efficiency. Extensive experimental results in application areas such as compressed sensing, image recognition, and classifier design show that our method has great potential in a wide range of applications. Our codes will be available at https://github.com/jianglanfan/HIWT-GSC.

Huopuxialing Decoction: A Promising Candidate for Precancerous Lesions of Gastric Cancer Treatment Based on Bioinformatics and Experimental Verification.

BACKGROUND: The Precancerous Lesion of Gastric Cancer (PLGC) is an early stage in the development of gastric cancer. The clinical application of HPXLD has been found to be effective in treating PLGC, but the mechanism of how HPXLD acts on PLGC is still unclear. OBJECTIVE: The objectives of this study were to reveal the molecular mechanism of how HPXLD can be used to treat PLGC and investigate this mechanism through bioinformatics and experimental validation. METHODS: PLGC-associated target genes were identified through bioinformatics analysis. A rat model of PLGC was induced using N-methyl-N'-nitro-N-nitrosoquanidine (MNNG) in combination with ranitidine, hot saline, ethanol, and intermittent fasting, with interventions by HPXLD. The pathological alterations in gastric mucosa were assessed through Hematoxylin-eosin staining (HE). Immunohistochemistry (IHC) and Western blot analyses were employed to evaluate the changes in expression levels of inflammation-related proteins. RESULTS: After conducting bioinformatics analysis, it was found that there were 23 HPXLDPLGC crossover genes, which were significantly enriched in the IL-17 signaling pathway, TNF signaling pathway, and NF-kappa B signaling pathway. The results of HE showed that HPXLD was effective in improving gastric mucosal histopathological changes. Additionally, the IHC results demonstrated that HPXLD was able to downregulate the expression of IL-6, COX-2, MCP- 1, and MMP-9. Furthermore, Western blot analysis revealed that HPXLD was able to downregulate the expressions of IL-6, IL-17RA, ACT1, NF-κB, and TNF-α. CONCLUSION: HPXLD has been shown to improve PLGC by reducing the expression of inflammation- related proteins. This suggests that HPXLD may potentially be a treatment option for PLGC.

Hepatic arterial infusion chemotherapy with anti-angiogenesis agents and immune checkpoint inhibitors for unresectable hepatocellular carcinoma and meta-analysis.

BACKGROUND: Hepatic arterial infusion chemotherapy (HAIC) has been proven to be an ideal choice for treating unresectable hepatocellular carcinoma (uHCC). HAIC-based treatment showed great potential for treating uHCC. However, large-scale studies on HAIC-based treatments and meta-analyses of first-line treatments for uHCC are lacking. AIM: To investigate better first-line treatment options for uHCC and to assess the safety and efficacy of HAIC combined with angiogenesis inhibitors, programmed cell death of protein 1 (PD-1) and its ligand (PD-L1) blockers (triple therapy) under real-world conditions. METHODS: Several electronic databases were searched to identify eligible randomized controlled trials for this meta-analysis. Study-level pooled analyses of hazard ratios (HRs) and odds ratios (ORs) were performed. This was a retrospective single-center study involving 442 patients with uHCC who received triple therapy or angiogenesis inhibitors plus PD-1/PD-L1 blockades (AIPB) at Sun Yat-sen University Cancer Center from January 2018 to April 2023. Propensity score matching (PSM) was performed to balance the bias between the groups. The Kaplan-Meier method and cox regression were used to analyse the survival data, and the log-rank test was used to compare the suvival time between the groups. RESULTS: A total of 13 randomized controlled trials were included. HAIC alone and in combination with sorafenib were found to be effective treatments (P values for ORs: HAIC, 0.95; for HRs: HAIC + sorafenib, 0.04). After PSM, 176 HCC patients were included in the analysis. The triple therapy group (n = 88) had a longer median overall survival than the AIPB group (n = 88) (31.6 months vs 14.6 months, P < 0.001) and a greater incidence of adverse events (94.3% vs 75.4%, P < 0.001). CONCLUSION: This meta-analysis suggests that HAIC-based treatments are likely to be the best choice for uHCC. Our findings confirm that triple therapy is more effective for uHCC patients than AIPB.

Orientin Promotes Antioxidant Capacity, Mitochondrial Biogenesis, and Fiber Transformation in Skeletal Muscles through the AMPK Pathway.

The sleep-breathing condition obstructive sleep apnea (OSA) is characterized by repetitive upper airway collapse, which can exacerbate oxidative stress and free radical generation, thereby detrimentally impacting both motor and sensory nerve function and inducing muscular damage. OSA development is promoted by increasing proportions of fast-twitch muscle fibers in the genioglossus. Orientin, a water-soluble dietary C-glycosyl flavonoid with antioxidant properties, increased the expression of slow myosin heavy chain (MyHC) and signaling factors associated with AMP-activated protein kinase (AMPK) activation both in vivo and in vitro. Inhibiting AMPK signaling diminished the effects of orientin on slow MyHC, fast MyHC, and Sirt1 expression. Overall, orientin enhanced type I muscle fibers in the genioglossus, enhanced antioxidant capacity, increased mitochondrial biogenesis through AMPK signaling, and ultimately improved fatigue resistance in C2C12 myotubes and mouse genioglossus. These findings suggest that orientin may contribute to upper airway stability in patients with OSA, potentially preventing airway collapse.

Efficacy of minimally invasive therapies on unresectable pancreatic cancer.

For patients with unresectable pancreatic cancer, current chemotherapies have negligible survival benefits. Thus, developing effective minimally invasive therapies is currently underway. This study was conducted to evaluate the efficacy of transarterial chemoembolization plus radiofrequency ablation and/or 125I radioactive seed implantation on unresectable pancreatic cancer. We analyzed the outcome of 71 patients with unresectable pancreatic carcinoma who underwent chemoembolization plus radiofrequency ablation and/or radioactive seed implantation. Of the 71 patients, the median survival was 11 months, and the 1-, 2-, and 3-year overall survival rates were 32.4%, 9.9%, and 6.6%, respectively. Patients who had no metastasis, who had oligonodular liver metastases (≤3 lesions), and who had multinodular liver metastases (>3 lesions) had median survival of 12, 18, and 8 months, respectively, and 1-year overall survival rates of 50.0%, 68.8%, and 5.7%, respectively. Although the survival of patients without liver metastases was worse than that of patients with oligonodular liver metastasis, the result was not significant (P = 0.239). In contrast, the metastasis-negative patients had significantly better survival than did patients with multinodular liver metastases (P < 0.001). Patients with oligonodular liver lesions had a significant longer median survival than did patients with multinodular lesions (P < 0.001). In conclusion, combined minimally invasive therapies had good efficacy on unresectable pancreatic cancer and resulted in a good control of liver metastases. In addition, the number of liver metastases was a significant factor in predicting prognosis and response to treatment.

Phenolic compounds in walnut pellicle improve walnut (Juglans regia L.) protein solubility under pH-shifting condition.

This study focused on the interaction of walnut protein with phenolic extracts of walnut pellicle (PEWP) under alkaline condition, leading to enhancement of protein solubility under neutral condition. First, the change of PEWP under alkaline condition was determined by RP-HPLC and mass spectrometry, and the results showed that most ellagitannins in PEWP could be retained under alkaline condition within 3 h. Interaction between PEWP and walnut protein under pH-shifting condition resulted in the remarkable increase of protein solubility (above 90%) at neutral pH. The results from SDS-PAGE and SEC showed that the improved solubility lied in the formation of large and soluble protein aggregates due to the covalent interaction among walnut protein and polyphenols. A significant change in tertiary structure of protein-phenolic complex was witnessed by fluorescence spectrum and near-UV circular dichroism. Meanwhile, walnut protein-polyphenol interaction led to a slight increase in ß-turn while a slight decrease in ß-sheet. Combined with amino acid composition, it could be illustrated that the covalent bonding for walnut protein with polyphenol mainly occurred at Lysine residues.

Cost-effectiveness and prognostic model of hepatic arterial infusion chemotherapy for hepatocellular carcinoma with high tumor burden and/or Vp4 tumor thrombus compared with sorafenib: a post-hoc analysis of the FOHAIC-1 trial.

OBJECTIVES: The phase III FOHAIC-1 trial revealed that hepatic arterial infusion of chemotherapy (HAIC) improved overall survival compared to sorafenib in the high-risk hepatocellular carcinoma (HCC). This study therefore set out to evaluate the cost-effectiveness and establish a prognostic clinico-radiological score of HAIC. MATERIALS AND METHODS: A total of 409 patients with high-risk HCC who received HAIC between 2014 and 2020 were included. A Markov model was applied in the cost-effectiveness analysis using data from the FOHAIC-1 trial. In prognosis analysis, a clinico-radiological score was developed using a Cox-regression model and subsequently confirmed in the internal validation and test cohorts. The area under the curve from receiver operator characteristic analysis was used to assess the performance of the clinico-radiological score. RESULTS: HAIC resulted in an incremental cost-effectiveness ratio of $10190.41/quality-adjusted life years compared to sorafenib, which was lower than the willingness-to-pay threshold. Probabilistic sensitivity analysis predicted a ≥99.9% probability that the incremental cost-effectiveness ratio was below the willingness-to-pay. The Cox analysis identified five factors, namely extrahepatic metastasis (m), arterial enhancing type (a), tumor number (nu), albumin-bilirubin index (a), and involved lobe (l), which together comprise the clinico-radiological score (HAIC-manual). Patients were classified into three groups based on the number of factors present, with cutoffs at 2 and 4 factors. The stratified median overall survival for these groups were 21.6, 10.0, and 5.9 months, respectively ( P <0.001). These findings were verified through internal validation and test cohorts with a significance level of P ≤0.01. The time-dependent area under the curve from receiver operator characteristic for the ability of the HAIC-manual to predict survival in 1, 2, and 3 years were 0.71, 0.76, and 0.78, which significantly outperformed existing staging systems. CONCLUSION: HAIC is a promising and cost-effective strategy for patients with high-risk HCC. The clinico-radiological score may be a simple prognostic tool for predicting HAIC treatment.

Camrelizumab (a PD-1 inhibitor) plus apatinib (an VEGFR-2 inhibitor) and hepatic artery infusion chemotherapy for hepatocellular carcinoma in Barcelona Clinic Liver Cancer stage C (TRIPLET): a phase II study.

Hepatic arterial infusion chemotherapy (HAIC) using a combination of oxaliplatin, fluorouracil, and leucovorin (FOLFOX) has shown promise for hepatocellular carcinoma (HCC) patients classified under Barcelona Clinic Liver Cancer (BCLC) stage C. In China, the combined therapy of camrelizumab and apatinib is now an approved first-line approach for inoperable HCC. This study (NCT04191889) evaluated the benefit of combining camrelizumab and apatinib with HAIC-FOLFOX for HCC patients in BCLC stage C. Eligible patients were given a maximum of six cycles of HAIC-FOLFOX, along with camrelizumab and apatinib, until either disease progression or intolerable toxicities emerged. The primary outcome measured was the objective response rate (ORR) based on the Response Evaluation Criteria in Solid Tumors (RECIST) v1.1. Thirty-five patients were enrolled. Based on RECIST v1.1 criteria, the confirmed ORR stood at 77.1% (95% CI: 59.9% to 89.6%), with a disease control rate of 97.1% (95% CI: 85.1% to 99.9%). The median progression-free survival was 10.38 months (95% CI: 7.79 to 12.45). Patient quality of life had a transient deterioration within four cycles of treatment, and generally recovered thereafter. The most frequent grade ≥3 or above treatment-related adverse events included reduced lymphocyte count (37.1%) and diminished neutrophil count (34.3%). The combination of camrelizumab, apatinib, and HAIC demonstrated encouraging results and manageable safety concerns for HCC at BCLC stage C.

Ultrasound enhanced destruction of tetracycline hydrochloride with peroxydisulfate oxidation over FeS/NBC catalyst: Governing factors, strengthening mechanism and degradation pathway.

In this study, FeS/N-doped biochar (NBC) derived from the co-pyrolysis of birch sawdust and Mohr's salt was applied to evaluate the efficiency of catalyzed peroxydisulfate (PDS) oxidation for tetracycline (TC) degradation. It is found that the combination of ultrasonic irradiation can distinctly enhance the removal of TC. This study investigated the effects of control factors such as PDS dose, solution pH, ultrasonic power, and frequency on TC degradation. Within the applied ultrasound intensity range, TC degradation increases with increasing frequency and power. However, excessive power can lead to a reduced efficiency. Under the optimized experimental conditions, the observed reaction kinetic constant of TC degradation increased from 0.0251 to 0.0474 min-1, with an increase of 89%. The removal ratio of TC also increased from ∼85% to ∼99% and the mineralization level from 45% to 64% within 90 min. Through the decomposition testing of PDS, reaction stoichiometric efficiency calculation, and electron paramagnetic resonance experiments, it is shown that the increase in TC degradation of the ultrasound-assisted FeS/NBC-PDS system was attributed to the increase in PDS decomposition and utilization, as well as the increase in SO4•- concentration. The radical quenching experiments showed that SO4•-, •OH, and O2•- radicals were the dominant active species in TC degradation. TC degradation pathways were speculated according to intermediates from HPLC-MS analysis. The test of simulated actual samples showed that dissolved organic matter, metal ions, and anions in waters can undercut the TC degradation in FeS/NBC-PDS system, but ultrasound can significantly reduce the negative impact of these factors.

Percutaneous CT-guided radiofrequency ablation for unresectable hepatocellular carcinoma pulmonary metastases.

PURPOSE: This study aimed to evaluate the safety and efficacy of percutaneous CT-guided radiofrequency ablation (RFA) for unresectable hepatocellular carcinoma pulmonary metastases (HCCPM) and to identify the prognostic factors for survival. MATERIALS AND METHODS: We reviewed the medical records of 320 patients with HCCPM treated between January 2005 and January 2012. Among them, 29 patients with 68 lesions of unresectable HCCPM underwent 56 RFA sessions. Safety, local efficacy, survival and prognostic factors were evaluated. Survival was analysed using the Kaplan-Meier method. Univariate analyses were evaluated by the log-rank test. RESULTS: Pneumothorax requiring chest tube placement occurred in five (8.9%, 5/56) RFA sessions. During the median follow-up period of 23 months (range 6-70), 18 patients (62.1%, 18/29) died of tumour progression and 11 (37.9%, 11/29) were alive. The 1-, 2- and 3-year overall survival rates were 73.4%, 41.1% and 30%, respectively. The median progression-free survival was 18 months (95% confidence interval (CI) 9.8-26.2) and the median overall survival time was 21 months (95%CI, 9.7-32.3). The maximum tumour diameter ≤3 cm (p = 0.002), the number of pulmonary metastases ≤3 (p = 0.014), serum AFP level ≤400 ng/mL (p = 0.003), and the controlled status of intrahepatic tumour after lung RFA (p = 0.001) were favourable prognostic factors for overall survival. CONCLUSIONS: Our study indicates that percutaneous CT-guided RFA, as an alternative treatment procedure to pulmonary metastasectomy, can be a safe and effective therapeutic option for unresectable HCCPM.