Comprehensive analysis of pain genes in prognosis of kidney renal clear cell carcinoma and tumor immunotherapy: A comprehensive bioinformatic study.

Background: The effect of pain genes (NAV1, EHMT2, SP1, SLC6A4, COMT, OPRM1, OPRD1, CYP2D6, and CYP3A4) have not been reported previously in kidney renal clear cell carcinoma (KIRC) patients and thus we made a comprehensive analysis of pain genes in the prognosis of KIRC and tumor immunotherapy.

Methods: In this study, TCGA, Kaplan-Meier plotter, Metascape, STRING, Human Protein Atlas, Single Cell Expression Atlas database, LinkedOmics, cBioPortal, MethSurv, CancerSEA, COSMIC database and R package (ggplot2, version 3.3.

Comparison of the efficacy and safety of ultrasonic cycloplasty valve implantation and anti-VEGF for the treatment of fundus disease-related neovascular glaucoma.

Aim: To compare the clinical efficacy and safety of ultrasonic cycloplasty (UCP) Ahmed glaucoma drainage valve implantation (ADV) in addition to intravitreal anti-vascular endothelial growth factor (VEGF) for treatment of fundus disease-related neovascular glaucoma (NVG).

Methods: A total of 43 patients (45 eyes) with NVG secondary to fundus diseases underwent anti-VEGF combined with UCP or ADV from August 2020 to March 2022 were enrolled in this retrospective cohort study. Of them, 14 patients (15 eyes) were treated with both UCP and anti-VEGF as the UCP group and 29 patients (30 eyes) treated with both ADV and anti-VEGF as the ADV group.

Comprehensive Analysis of Transcriptional Expression of hsa-mir-21 Predicted Target Genes and Immune Characteristics in Kidney Renal Clear Cell Carcinoma.

To uncover advanced prognosis biomarkers in patient with kidney renal clear cell carcinoma (KIRC), our study was the first to make a comprehensive analysis of hsa-mir-21 predicted target genes and explore the immune characteristics in KIRC. In this study, the comprehensive analysis of hsa-mir-21 predicted target genes and immune characteristics in KIRC were analyzed via TIMER2.0, UALCAN, Metascape, Kaplan-Meier plotter, Human Protein Atlas, CancerSEA, JASPAR, GEPIA, R package: GSVA package (version 1.

Transcriptional expressions of hsa-mir-183 predicted target genes as independent indicators for prognosis in bladder urothelial carcinoma.

Objective: To uncover novel prognostic and therapeutic targets for BLCA, our study is the first to investigate the role of hsa-mir-183 and its up-regulated predicted target genes in bladder urothelial carcinoma.

Methods: To address this issue, our study explored the roles of hsa-mir-183 predicted target genes in the prognosis of BLCA via UALCAN, Metascape, Kaplan-Meier plotter, Human Protein Atlas, TIMER2.0, cBioPortal and Genomics of Drug Sensitivity in Cancer databases.

Localized surface plasmon resonance enhanced visible-light-driven CO photoreduction in Cu nanoparticle loaded ZnInS solid solutions.

Visible-light-driven photocatalysts have shown tremendous prospects in solving the energy crisis and environmental problems, thanks to their wide spectral response and high quantum efficiency. Several strategies including the expansion of visible light response and the improvement of solar energy utilization and photocatalytic quantum efficiency via more effective separation of photogenerated carriers are the current focuses of research that direct the design and fabrication of viable photocatalysts. Herein, a series of composite photocatalysts assembled from plasmonic Cu nanoparticles (NPs) and Zn3In2S6 (ZIS) solid solutions were synthesized by means of a simple solvothermal method.

CdZnS nanorods with rich sulphur vacancies for highly efficient photocatalytic hydrogen production.

A one-dimensional Cd0.6Zn0.4S nanorod (CZS NR) solid solution with rich sulfur vacancies achieved an excellent photocatalytic hydrogen production activity of 59.

Construction and Validation of Nomograms for Predicting Overall Survival and Cancer-Specific Survival in Nonmetastatic Inflammatory Breast Cancer Patients Receiving Tri-Modality Therapy: A Population-Based Study.

BACKGROUND As the most aggressive breast cancer, inflammatory breast cancer (IBC) has a poor prognosis. However, analyzing the prognostic factors of IBC is challenging due to its rarity. We identified the prognostic factors to establish predictive tools for survival in nonmetastatic IBC patients who received tri-modality therapy.