Prognostic and clinicopathological value of the controlling nutritional status (CONUT) score in patients with head and neck cancer: a meta-analysis.

BACKGROUND: The efficiency of controlling nutritional status (CONUT) score in detecting the prognosis of head and neck cancer (HNC) patients has been investigated in some works, but no consistent findings are obtained. Therefore, this work focused on evaluating the precise prognostic role of CONUT for HNC patients through meta-analysis. METHODS: The effect of CONUT on predicting the prognosis of HNC patients was evaluated through calculating combined hazard ratios (HRs) as well as 95% confidence intervals (CIs). The correlations of CONUT with clinicopathological features of HNC patients were investigated through combined odds ratios (ORs) and 95%CIs. This study used the random-effects model in the case of significant heterogeneity; or else, we selected the fixed-effects model. RESULTS: There were eight articles involving 1,478 patients enrolled for the current meta-analysis. We adopted the fixed-effects model for OS and DFS analysis because of the non-significant heterogeneity. As demonstrated by our combined findings, high CONUT score could significantly predict the poor overall survival (OS) (HR = 1.94, 95%CI = 1.55-2.44, p < 0.001) and disease-free survival (DFS) (HR = 1.93, 95%CI = 1.45-2.56, p < 0.001) of HNC. In addition, higher CONUT score was significantly connected to T3-T4 stage (OR = 3.21, 95%CI = 1.94-5.31, p < 0.001) and N1-N3 stage (OR = 3.10, 95%CI = 1.74-5.53, p < 0.001). CONCLUSION: According to findings in the present meta-analysis, high CONUT score significantly predicted the prognosis of OS and DFS for HNC patients. Higher CONUT score was also correlated to larger tumor size and LN metastasis in HNC. Due to it is a cost-effective and easily available parameter, CONUT could serve as promising prognostic biomarker for HNC.

A metal-organic framework with multienzyme activity as a biosensing platform for real-time electrochemical detection of nitric oxide and hydrogen peroxide.

A Metal-Organic Framework (MOFs) with large surface area, exposed active site, excellent catalytic performance and high chemical stability has been used as an artificial enzyme and designed for nonenzymatic electrochemical sensors. Here, a strategy of using an enhanced electrochemical sensing platform for the detection of nitic oxide (NO) and hydrogen peroxide (H2O2) was designed via a nano-metalloporphyrinic metal-organic framework (NporMOF(Fe)) as an electrode material. By taking advantage of the small size, high surface area and exposed Fe active site, the obtained NporMOF(Fe) displays excellent electrocatalytic activity toward NO and H2O2. The NporMOF(Fe) modified electrode shows high sensing ability toward the in situ generated NO in NO2- containing phosphate buffer (PB) solution with a wide linear detection range of 5 µM to 200 µM and a very low detection limit of 1.3 µM. Moreover, NporMOF(Fe) exhibits high electrocatalytic activity toward the reduction of H2O2 and the practical detection of H2O2 released from HeLa cells. Furthermore, the NporMOF(Fe) modified electrode shows excellent selectivity toward the detection of NO and H2O2 in the presence of other physiologically important analytes. This method shows excellent biosensing performance, implying the universal applicability of MOFs-based artificial nanozymes for biosensors and the potential application for third generation biosensors.

Risk prediction models for successful discontinuation in acute kidney injury undergoing continuous renal replacement therapy.

Continuous renal replacement therapy (CRRT) is a commonly utilized treatment modality for individuals experiencing severe acute kidney injury (AKI). The objective of this research was to construct and assess prognostic models for the timely discontinuation of CRRT in critically ill AKI patients receiving this intervention. Data were collected retrospectively from the MIMIC-IV database (n = 758) for model development and from the intensive care unit (ICU) of Huzhou Central Hospital (n = 320) for model validation. Nine machine learning models were developed by utilizing LASSO regression to select features. In the training set, all models demonstrated an AUROC exceeding 0.75. In the validation set, the XGBoost model exhibited the highest AUROC of 0.798, leading to its selection as the optimal model for the development of an online calculator for clinical applications. The XGBoost model demonstrates significant predictive capabilities in determining the discontinuation of CRRT.

Artificial nanozyme based on platinum nanoparticles anchored metal-organic frameworks with enhanced electrocatalytic activity for detection of telomeres activity.

This study reports a new artificial nanozyme based on ultra-small Pt nanoparticles (Pt NPs) grown on nanoscale metalloporphyrin metal organic frameworks (P-MOF(Fe)) (termed as Pt@P-MOF(Fe)) as biomimetic catalysts and redox mediator to detect the telomerase activity. In this system, the P-MOF(Fe) were used as nanocarrier and signal media. The DNA functionalized Pt@P-MOF(Fe) was as signal probe and exhibited enhanced electrochemical signal in the presence of H2O2, owing to the synergistic effect between P-MOF(Fe) and Pt NPs. Upon the addition cell extract, the telomerase primer could extend and then hybridize with assistant DNA2 in the triple-helix, leading to the structure of triple-helix changes and release the hairpin DNA to hybridize with the capture DNA on the surface of Pt@P-MOF(Fe), resulting in the electrochemical signal readout of H2O2 reduction. With the aid of recycling amplification of Exonuclease III, the telomeres sensor exhibited the detection down to 20 Hela cell mL-1. This work supplies a new avenue to design artificial enzyme catalysts and serves as an ideal platform to use metalloporphyrin metal organic frameworks as signal media for detection of analytes.

Nanozyme-Modified Metal-Organic Frameworks with Multienzymes Activity as Biomimetic Catalysts and Electrocatalytic Interfaces.

Many metal-organic frameworks have been designed and synthesized for biosensors because of high surface area and porosity, suitable size, and good biocompatibility. Despite recent advances, however, most of them are only used as a nanocarrier. In this work, a new artificial nanozyme was constructed on a metalloporphyrinic metal-organic framework (PMOF(Fe)), which was formed by Fe porphyrin and Zr4+ ions. Then, ultrasmall Pt nanoparticles (Pt NPs) were loaded on the surface of PMOF(Fe) to form Pt@PMOF(Fe). Because of the high surface area and exposed Fe activity center, PMOF(Fe) works as a nanocarrier to hinder the Pt NP aggregation and exhibits high peroxidase-mimicking activity. Hence, Pt NPs decorated on the surface of PMOF(Fe) possessed high stability and exhibited high activity. Due to the synergistic effect between PMOF(Fe) and Pt NPs, Pt@PMOF(Fe) exhibits superior catalase- and peroxidase-like activities. Moreover, Pt@PMOF(Fe) possesses high electrocatalytic activity toward the reduction of H2O2 and the oxygen reduction reaction (ORR). This strategy may serve as a strong foundation to design MOF-based artificial nanozymes and develop an ideal platform for MOFs and nanozymes toward artificial enzymatic catalytic systems, fuel cells and new analytical applications.

Radiofrequency Ablation with Continued EGFR Tyrosine Kinase Inhibitor Therapy Prolongs Disease Control in EGFR-Mutant Advanced Lung Cancers with Acquired Resistance to EGFR Tyrosine Kinase Inhibitors: Two Case Reports.

OBJECTIVE: Lung cancer remains the leading cause of malignant tumor-related death globally. There is mounting evidence that a large proportion of patients harboring epidermal growth factor receptor (EGFR) mutation and treated with EGFR TKI experience oligoprogressive disease. The optimal treatment strategy for these patients is undetermined. Thus, in this article, we report two cases of EGFR-mutant NSCLC patients with locally resistant lesions achieving disease control via combination therapy. PATIENTS AND METHODS: We present two cases of lung adenocarcinoma patients that developed oligoprogressive disease during TKI treatment. For further treatment, the patient then received radiofrequency ablation. RESULTS: Through follow-up observation, we found that the addition of radiofrequency ablation might provide the clinical benefit of these two NSCLC patients. CONCLUSION: Our two cases provide a promising treatment for oligoprogressive disease during the first-line EGFR-TKI therapy.

Metal-organic framework nanosheets with flower-like structure as probes for H2S detection and in situ singlet-oxygen production.

Herein, a novel bifunctional flower-like metal-organic framework (MOF) was designed as a probe, which could be activated by H2S, induce itself disassembly and then release linker, Zn porphyrin. Therefore, the fluorescence of the system is enhanced and 1O2 could be produced in situ, opening up a new avenue for selective H2S detection under physiological pH and controllable 1O2 release.

Enzyme-immobilized metal-organic framework nanosheets as tandem catalysts for the generation of nitric oxide.

An enzyme-immobilized metal-organic framework (MOF) nanosheet system was developed as a tandem catalyst, which converted glucose into gluconic acid and H2O2, and sequentially the latter could be used to catalyze the oxidation of l-arginine to generate nitric oxide in the presence of porphyrinic MOFs as artificial enzymes under physiological pH, showing great potential in cancer depleting glucose for starving-like/gas therapy.