ALYREF enhances breast cancer progression by regulating EZH2.

Breast cancer is one of the most common malignant tumors in women worldwide. Similarly, Canine mammary tumors (CMTs) are mostly diagnosed as spontaneous diseases in female dogs. Many studies have suggested that CMTs serve as good models for human breast cancer. However, comparative approaches to histone modifications are still lacking. This study aimed to compare the canine mammary tumor Histone H3 lysine 4 trimethylation (H3K4me3) landscape with that in human breast cancer. Our H3K4me3 ChIP-seq data from CMTs revealed a significant enrichment of H3K4me3 in the ALYREF gene promoter in tumor tissues compared to normal tissues. Furthermore, our study and publicly available RNA-sequencing data revealed that ALYREF expression was elevated in malignant tissues and breast cancer cell lines, and its upregulation was associated with poor prognosis in humans. Depletion of ALYREF resulted in changes in cellular phenotypes, including increased proliferation and colony formation, as well as decreased apoptosis. ALYREF increased cell viability and anchorage-independent growth while decreasing apoptosis by regulating the mRNA expression and protein levels of enhancer of zeste 2 polycomb repressive complex 2 subunit (EZH2), which promotes hormone receptor-positive breast cancer and CMTs via epigenetic modifications. This suggests that ALYREF may function as a contributing factor to malignant transformation in both CMT and human breast cancer.

Au25 Cluster-Based Atomically Precise Coordination Frameworks and Emission Engineering through Lattice Symmetry.

The atomically precise metal nanoclusters (NCs) have attracted significant attention due to their superatomic behavior originating from the quantum confinement effect. This behavior makes these materials suitable for various photoluminescence-based applications, including chemical sensing, bioimaging, and phototherapy, owing to their intriguing optical properties. Especially, the manipulation of inter- or intracluster interaction through cluster-assembled materials (CAMs) presents significant pathways for modifying the photophysical properties of NCs. Herein, two distinct CAMs, Au25-Zn-Hex and Au25-Zn-Rod, were synthesized via forming a coordination bond between [Au25(p-HMBA)18]- (p-H2MBA = 4-mercaptobenzoic acid) and Zn2+. Au25-Zn-Rod exhibited a 6-fold higher luminescence intensity in the near-infrared region compared to Au25-Zn-Hex, attributed to synergistic inter- and intracluster interactions that induce exciton delocalization and structure rigidification at the atomic scale. This study highlights the potential of diverse lattice symmetries in cluster-based frameworks for tuning the photophysical properties, contributing to a deeper understanding of the structure-property relationship in Au NCs.

End-to-End Throughput Chemical Proteomics for Photoaffinity Labeling Target Engagement and Deconvolution.

Photoaffinity labeling (PAL) methodologies have proven to be instrumental for the unbiased deconvolution of protein-ligand binding events in physiologically relevant systems. However, like other chemical proteomic workflows, they are limited in many ways by time-intensive sample manipulations and data acquisition techniques. Here, we describe an approach to address this challenge through the innovation of a carboxylate bead-based protein cleanup procedure to remove excess small-molecule contaminants and couple it to plate-based, proteomic sample processing as a semiautomated solution. The analysis of samples via label-free, data-independent acquisition (DIA) techniques led to significant improvements on a workflow time per sample basis over current standard practices. Experiments utilizing three established PAL ligands with known targets, (+)-JQ-1, lenalidomide, and dasatinib, demonstrated the utility of having the flexibility to design experiments with a myriad of variables. Data revealed that this workflow can enable the confident identification and rank ordering of known and putative targets with outstanding protein signal-to-background enrichment sensitivity. This unified end-to-end throughput strategy for processing and analyzing these complex samples could greatly facilitate efficient drug discovery efforts and open up new opportunities in the chemical proteomics field.

Delayed Correction of Intra-articular Lateral Head Fracture of the Proximal Phalanx of the Great Toe in Children.

Backgroud: Conservative treatment of intra-articular lateral head fracture of the proximal phalanx (LHFPP) of the great toe in young children has a high rate of nonunion, leading to hallux valgus interphalangeus (HVIP). This study presents a case series of surgically managed, late-diagnosed LHFPP, highlighting the difficulties of the surgery and presenting satisfactory results. Methods: Nine unilateral cases (8 late-diagnosed and 1 acute) were treated by open reduction and Kirchner wire fixation. The average time from trauma to surgery was 2.9 years (range, 0.5-10.1 years) in our late-diagnosed cases. The average age at the time of operation was 9.2 years (range, 3.4-16.3 years). The causes of injury were various. Intraoperative findings were reviewed through medical records and photographs. Pre- and postoperative HVIP angle, American Orthopedic Foot and Ankle Society (AOFAS) score, and range of motion of the interphalangeal joint were measured and compared statistically. Results: Progressive HVIP was a chief complaint in all 8 late-diagnosed cases. Bony fragment size depended on the time elapsed after trauma (fragments increased in size due to ossification of cartilage) with a mean of 23.5% articular involvement. Four cases required bone graft, and union was achieved in all cases. The mean HVIP angle improved from a mean of 17.8° to 10.5°. The average AOFAS score and range of motion were significantly improved after surgery. Conclusions: Although LHFPP is rare and difficult to diagnose, even cases detected long after the initial trauma can be successfully treated, albeit with difficulty. All 9 of our patients had successful outcomes when treated by open reduction and internal fixation.

Detoxification of ars genotypes by arsenite-oxidizing bacteria through arsenic biotransformation.

The detoxification process of transforming arsenite (As(III)) to arsenate (As(V)) through bacterial oxidation presents a potent approach for bioremediation of arsenic-polluted soils in abandoned mines. In this study, twelve indigenous arsenic-oxidizing bacteria (AOB) were isolated from arsenic-contaminated soils. Among these, Paenibacillus xylanexedens EBC-SK As2 (MF928871) and Ochrobactrum anthropi EBC-SK As11 (MF928880) were identified as the most effective arsenic-oxidizing isolates. Evaluations for bacterial arsenic resistance demonstrated that P. xylanexedens EBC-SK As2 (MF928871) could resist As(III) up to 40 mM, while O. anthropi EBC-SK As11 (MF928880) could resist As(III) up to 25 mM. From these bacterial strains, genotypes of arsenic resistance system (ars) were detected, encompassing ars leader genes (arsR and arsD), membrane genes (arsB and arsJ), and aox genes known to be crucial for arsenic detoxification. These ars genotypes in the isolated AOBs might play an instrumental role in arsenic-contaminated soils with potential to reduce arsenic contamination.

Sensitivity analysis for unmeasured confounding in estimating the difference in restricted mean survival time.

The difference in restricted mean survival time has been increasingly used as an alternative measure to the hazard ratio in survival analysis. Although some statistical methods have been developed for estimating the difference in restricted mean survival time adjusted for measured confounders in observational studies, the impact of unmeasured confounding on the estimate has rarely been assessed. We develop a novel sensitivity analysis for the estimate of the difference in restricted mean survival time with respect to unmeasured confounding. After formulating the sensitivity analysis problem as an optimization problem, we explain how to obtain the sensitivity range of the difference in restricted mean survival time efficiently and assess its uncertainty using the percentile bootstrap confidence interval. Analytic results are provided for some important survival settings. Simulation studies show that the proposed methods perform well in various settings. We illustrate the proposed sensitivity analysis method by analyzing data from the German Breast Cancer Study Group study.

Discovery of organosulfur-based selective HDAC8 inhibitors with anti-neuroblastoma activity.

Histone deacetylases (HDACs) are important epigenetic regulators of gene expression and various cellular processes, and are potential targets for anticancer therapy. In particular, HDAC8 is a promising therapeutic target for childhood neuroblastoma. To date, five HDAC inhibitors have been approved as anticancer drugs; however, all are non-selective HDAC inhibitors with various side effects. Furthermore, many promising HDAC inhibitors incorporate hydroxamic acid as a zinc binding group (ZBG), which may be associated with toxicity. Therefore, identification of isoform-selective HDAC inhibitors with novel ZBG is crucial. Here, a series of sulfur-based selective HDAC8 inhibitors featuring a novel ZBG were identified by modifying the early hit, ajoene, a component of garlic. Structure-activity relationship studies uncovered potent and selective HDAC8 inhibitors, and docking studies provided a structural rationale for HDAC8 inhibitory activity. One of the potent compounds, (Z)-1-phenyl-7-(4-methoxyphenyl)-2,3,7-trithiahepta-4-ene-7-oxide (15c), exhibited antiproliferative activity, with a GI50 of 2 µM, against neuroblastoma cell lines. 15c also showed significant in vivo efficacy in a neuroblastoma BE(2)-C xenograft model.

Computed tomography patterns and clinical outcomes of radiation pneumonitis in non-small-cell lung cancer patients.

Background: Radiation pneumonitis (RP) is not an uncommon complication in lung cancer patients undergoing radiation therapy (RT) and symptomatic RP can affect their quality of life. Purpose: To investigate the CT findings of RP in non-small cell lung cancer (NSCLC) patients and their relationship with clinical outcomes. Materials and methods: We reviewed data from 240 NSCLC patients who underwent RT between 2014 and 2022. CT findings of RP were evaluated for parenchymal abnormalities and distribution, which were then classified into three patterns: localized pneumonia (LP), cryptogenic organizing pneumonia (COP), and acute interstitial pneumonia (AIP). Clinical outcomes of RP were evaluated based on Common Terminology Criteria for Adverse Events (CTCAE) grade. Results: Of the 153 patients, 135 developed RP. The most common pattern was LP (n = 78), followed by COP (n = 30) and AIP (n = 25). Among the three CT patterns, CTCAE grade and days between the start of RT and the onset of RP (RT-RP days) were statistically significantly different (p < 0.05). The patients with AIP patterns exhibited higher CTCAE grade, and fewer RT-RP days compared to those with non-AIP patterns (p < 0.05). In these patients, lung-to-lung metastasis and underlying interstitial lung abnormality were observed more frequently (p < 0.05). Underlying pulmonary fibrosis, the AIP pattern, and higher CT extent scores were more frequently observed in higher CTCAE grade group (p < 0.001). In multiple regression analysis, age, bilateral distribution, RT-RP days, and CT extent score ≥3 were independent predicting factors for higher CTCAE grade. Conclusions: RP in NSCLC patients can be classified into LP, COP, and AIP patterns and they exhibit different severities in clinical outcomes.

Multimodal three-dimensional characterization of murine skeletal muscle micro-scale elasticity, structure, and composition: Impact of dysferlinopathy, Duchenne muscular dystrophy, and age on three hind-limb muscles.

Skeletal muscle tissue function is governed by the mechanical properties and organization of its components, including myofibers, extracellular matrix, and adipose tissue, which can be modified by the onset and progression of many disorders. This study used a novel combination of quantitative micro-elastography and clearing-enhanced three-dimensional (3D) microscopy to assess 3D micro-scale elasticity and micro-architecture of muscles from two muscular dystrophies: dysferlinopathy and Duchenne muscular dystrophy, using male BLA/J and mdx mice, respectively, and their wild-type (WT) controls. We examined three muscles with varying proportions of slow- and fast-twitch myofibers: the soleus (predominantly slow), extensor digitorum longus (EDL; fast), and quadriceps (mixed), from BLA/J and WTBLA/J mice aged 3, 10, and 24 months, and mdx and WTmdx mice aged 10 months. Both dysferlin deficiency and age reduced the elasticity and variability of elasticity of the soleus and quadriceps, but not EDL. Overall, the BLA/J soleus was 20% softer than WT and less mechanically heterogeneous (-14% in standard deviation of elasticity). The BLA/J quadriceps at 24 months was 72% softer than WT and less mechanically heterogeneous (-59% in standard deviation), with substantial adipose tissue accumulation. While mdx muscles did not differ quantitatively from WT, regional heterogeneity was evident in micro-scale elasticity and micro-architecture of quadriceps (e.g., 11.2 kPa in a region with marked pathology vs 3.8 kPa in a less affected area). These results demonstrate differing biomechanical changes in hind-limb muscles of two distinct muscular dystrophies, emphasizing the potential for this novel multimodal technique to identify important differences between various myopathies.

Real-world safety and effectiveness of lenvatinib in unresectable hepatocellular carcinoma in Korea: post-marketing study.

Aim: This post-marketing surveillance study evaluated the safety and effectiveness of lenvatinib as first-line treatment for unresectable hepatocellular carcinoma in Korea.Materials & methods: Adverse drug reactions (ADRs) and other safety and effectiveness end points were assessed in patients who initiated lenvatinib according to the approved label in republic of Korea.Results: Among 658 lenvatinib-treated patients, ADRs were reported in 57.8%; ADRs grade ≥3 in 13.5%. The most common grade ≥3 ADRs were asthenia (1.2%) and hepatic encephalopathy (1.2%). Physician-reported tumor responses (n = 511) were complete (1.0%) or partial (12.9%) response and stable (45.2%) or progressive disease (40.9%); objective response rates were higher with longer lenvatinib treatment duration (p < 0.001).Conclusion: Lenvatinib was generally well tolerated and effective in real-world clinical practice in Korea.Clinical trial registration: ClinicalTrials.gov NCT05225207.

[Box: see text].

Isolation of Anti-Prion Compounds from Curcuma phaeocaulis Valeton Extract.

Prion diseases, known as a group of fatal neurodegenerative disorders caused by prions, remain incurable despite extensive research efforts. In a recent study, crude extract from Curcuma phaeocaulis Valeton (Cp) showed promising anti-prion efficacy in in vitro and in vivo models, prompting further investigation into their active compounds. We endeavored to identify the chemical constituents of the Cp extract and discover potential anti-prion agents. With the use of centrifugal partition chromatography (CPC), major constituents were isolated from the n-hexane (HX) fraction of the extract in a single step. Spectroscopic analysis confirmed the presence of curcumenone, curcumenol, and furanodienone. Subsequent efficacy testing in a cell culture model of prion disease identified curcumenol and furanodienone as active compounds. This study underscores the potential of natural products in the search for effective treatments against prion diseases.

Mortality in elderly Parkinson's disease patients with long-term care needs: A nationwide population-based study in Korea.

BACKGROUND: The effects of long-term care insurance (LTCI) in reducing medical costs and utilization among older adults have been reported. This study aims to investigate the mortality in patients with Parkinson's disease (PD) requiring LTCI and its relationships with economic status. METHODS: This study was conducted using the database of the Korean National Health Insurance Service (NHIS)-Senior Cohort between 2008 and 2019. A total of 5937 patients with PD were included. Hazard ratios (HRs) of mortality associated with LTCI were estimated using a Cox regression model. Potential confounders such as demographics and comorbidities were adjusted. RESULTS: Out of 5937 PD patients, 821 required LTCI, and 5116 did not. Compared to PD patients without LTCI, PD patients with LTCI were older and exhibited a higher comorbidity burden. The overall incidence rate of mortality was 18.63 per 100 person-years in PD patients with LTCI. PD patients requiring LTCI were associated with an increased HR of 3.61 (95 % CI = 3.13-4.16) for mortality compared to PD patients not eligible for LTCI. Low-income status with LTCI was associated with the highest mortality risk (HR = 4.54, 95 % CI = 3.38-6.09), compared to middle-income status (HR = 3.47, 95 % CI = 2.64-4.61) and high-income status (HR = 3.53, 95 % CI = 2.91-4.91). CONCLUSIONS: Our study suggests that older PD patients requiring LTCI with low economic status have a higher risk of death. Continuous policy efforts to reduce the mortality risk in this group are needed.

Proteomic profiling of cerebrospinal fluid reveals TKT as a potential biomarker for medulloblastoma.

Cerebrospinal fluid (CSF) plays an important role in brain tumors, including medulloblastoma (MBL). Recent advancements in mass spectrometry systems and 'Omics' data analysis methods enable unbiased, high proteome depth research. We conducted proteomic profiling of the total CSF in MBL patients with the purpose of finding a potential diagnostic biomarker for MBL. We quantified 1112 proteins per CSF sample. Feature selection identified four elevated soluble proteins (SPTBN1, HSP90AA1, TKT, and NME1-NME2) in MBL CSF. Validation with ELISA confirmed that TKT was significantly elevated in MBL. Additionally, TKT-positive extracellular vesicles were significantly enriched in MBL CSF and correlated with the burden of leptomeningeal seeding. Our results provide insights into the proteomics data of the total CSF of MBL patients. Furthermore, we identified the significance of TKT within the total CSF and its presence within circulating EVs in the CSF. We suggest that TKT may serve as a biomarker for MBL.

Impact of a deep learning-based brain CT interpretation algorithm on clinical decision-making for intracranial hemorrhage in the emergency department.

Intracranial hemorrhage is a critical emergency that requires prompt and accurate diagnosis in the emergency department (ED). Deep learning technology can assist in interpreting non-enhanced brain CT scans, but its real-world impact on clinical decision-making is uncertain. This study assessed a deep learning-based intracranial hemorrhage detection algorithm (DLHD) in a simulated clinical environment with ten emergency medical professionals from a tertiary hospital's ED. The participants reviewed CT scans with clinical information in two steps: without and with DLHD. Diagnostic performance was measured, including sensitivity, specificity, accuracy, and the area under the receiver operating characteristic curve. Consistency in clinical decision-making was evaluated using the kappa statistic. The results demonstrated that DLHD minimally affected experienced participants' diagnostic performance and decision-making. In contrast, inexperienced participants exhibited significantly increased sensitivity (59.33-72.67%, p < 0.001) and decreased specificity (65.49-53.73%, p < 0.001) with the algorithm. Clinical decision-making consistency was moderate among inexperienced professionals (k = 0.425) and higher among experienced ones (k = 0.738). Inexperienced participants changed their decisions more frequently, mainly due to the algorithm's false positives. The study highlights the need for thorough evaluation and careful integration of deep learning tools into clinical workflows, especially for less experienced professionals.

Risk Stratification of Thyroid Nodules Diagnosed as Bethesda Category III by Ultrasound, Size, and Cytology.

OBJECTIVE: This study aimed to evaluate the performance of an integrated risk stratification system (RSS) based on ultrasound (US) RSSs, nodule size, and cytology subcategory for diagnosing malignancy in thyroid nodules initially identified as Bethesda category III on fine-needle aspiration. MATERIALS AND METHODS: This retrospective study was conducted at two institutions and included consecutive patients with Bethesda category III nodules, and final diagnoses confirmed by repeat biopsy or surgery. A total of 320 Bethesda category III nodules (≥1 cm) from 309 patients (223 female and 86 male; mean age, 50.9 ± 12.0 years) were included. The malignancy risk of Bethesda category III nodules and predictors of malignancy were assessed according to US RSSs, nodule size, and cytology subcategory. The diagnostic performances of US-size cytology (USC) RSS and US RSS alone for malignancy were compared. RESULTS: The intermediate or high suspicion US category independently increased the malignancy risk in all US RSSs (P ≤ 0.001). Large nodule size (≥3 cm) independently increased the malignancy risk of low- or intermediate suspicion US category nodules. Additionally, the atypia of undetermined significance cytology subcategory independently increased the malignancy risk of low suspicion US category nodules in most US RSSs. The area under the receiver operating characteristic curve of the USC RSSs was greater than that of the US RSSs alone (P < 0.048). Malignancy was not found in the very low risk category of USC RSS. CONCLUSION: The diagnostic performance of USC RSS for malignancy was superior to that of US RSS alone in Bethesda category III nodules. Malignancy can be ruled out in the very low-risk category of USC RSS.