Methylation of GPRC5A promotes liver metastasis and docetaxel resistance through activating mTOR signaling pathway in triple negative breast cancer.

AIMS: This study aims to explore the function and mechanism of G Protein-coupled receptor class C group 5 member A (GPRC5A) in docetaxel-resistance and liver metastasis of breast cancer. METHODS: Single-cell RNA transcriptomic analysis and bioinformatic analysis are used to screen relevant genes in breast cancer metastatic hepatic specimens. MeRIP, dual-luciferase analysis and bioinformation were used to detect m6A modulation. Mass spectrometry (MS), co-inmunoprecipitation (co-IP) and immunofluorescence colocalization were executed to explore the mechanism of GPRC5A in breast cancer cells. RESULT: GPRC5A was upregulated in triple-negative breast cancer (TNBC) and was associated with a poor prognosis. In vitro and in vivo experiments demonstrated that knockdown of GPRC5A alleviated metastasis and resistance to docetaxel in TNBC. Overexpression of GPRC5A had the opposite effects. The m6A methylation of GPRC5A mRNA was modulated by METTL3 and YTHDF1, which facilitates its translation. GPRC5A inhibited the ubiquitination-dependent degradation of LAMTOR1, resulting in the recruitment of mTORC1 to lysosomes and activating the mTORC1/p70s6k signaling pathway. CONCLUSION: METTL3/YTHDF1 axis up-regulates GPRC5A expression by m6A methylation. GPRC5A activates mTORC1/p70s6k signaling pathway by recruiting mTORC1 to lysosomes, consequently promotes docetaxel-resistance and liver metastasis.

Nomogram predicts survival and surgical benefits for patients with breast cancer with initial bone metastasis: A population-based study.

BACKGROUND: Primary stage IV breast cancer is associated with a poor prognosis. At present, the value of local surgical treatment for patients with stage IV breast cancer remains uncertain; therefore, treatment principles remain controversial. Because of the high heterogeneity of these patients, it is often difficult to evaluate their prognoses. As a result, this study aimed to establish a prognostic nomogram to evaluate the prognosis of patients with breast cancer experiencing primary bone metastasis. METHODS: The clinical characteristics and follow-up data of patients with primary breast cancer and bone metastasis from 2010 to 2018 were collected from the Surveillance, Epidemiology, and End Results database and from 2013 to 2021 at the Peking Union Medical College Hospital. Patients were divided into training and validation groups. Multivariate Cox regression analysis was used to identify the independent prognostic variables for predicting cancer-specific survival (CSS). On the basis of these independent risk factors, a nomogram was developed and used calibration curves to evaluate its accuracy. Patients were divided into three risk groups according to their scores and surgery-related survival curves plotted using the log-rank test. RESULTS: Overall, 6372 patients were included, with 6319 from the Surveillance, Epidemiology, and End Results database and 53 from the Peking Union Medical College Hospital Breast Surgery Department. Multivariate analysis showed that age, race, marital status, grade, tumor stage, estrogen receptor status, progesterone receptor status, human epidermal growth factor receptor 2 status, and burden of other metastatic lesions were all associated with CSS. Based on these results, a nomogram that predicted the 1-, 3-, and 5-year CSS rates in patients with primary breast cancer and bone metastasis (concordance index > 0.69) was developed. After dividing patients into low-risk, high-risk, or super-high-risk groups based on nomogram scoring criteria, survival analysis revealed that patients in the low- and high-risk groups had significant survival benefits from primary focal surgery. CONCLUSION: Independent risk factors for primary breast cancer in patients with bone metastasis were analyzed and a nomogram established to predict CSS. The prognostic tool derived in this study can assist clinicians in predicting the survival and surgical benefits of these patients through scoring, thereby providing further guidance for treatment strategies.

Ni Cluster-Decorated Single-Atom Catalysts Achieve Near-Unity CO2-to-CO Conversion with an Ultrawide Potential Window of ≈1.7 V.

Developing efficient electrocatalysts for CO2 reduction to CO within a broad potential range is meaningful for cascade application integration. In this work, hydrogen spillover is created and utilized to cultivate a proton-rich environment via the simple thermolysis of a Ni-doped Zn coordination polymer (Zn CPs (Ni)) to create asymmetric Ni single atoms co-located with adjacent Ni nanoclusters on nitrogen-doped carbon, termed as NiNC&SA/N-C, which expedites the hydrogenation of adsorbed CO2. Therefore, the sample demonstrates near-unity CO2-to-CO conversion efficiency under pH-universal conditions in ultra-wide potential windows: -0.39 to -2.05 V versus RHE with the current densities ranging from 0.1 to 1.0 A cm-2 in alkaline conditions, -0.83 to -2.40 V versus RHE from 0.1 to 0.9 A cm-2 in neutral environments, and -0.98 to -2.25 V versus RHE across 0.1 to 0.8 A cm-2 in acid conditions. Corresponding in situ measurements and density functional theory (DFT) calculations suggest that the enhanced H2O dissociation and more efficient hydrogen spillover on NiNC&SA/N-C (compared to NiSA/N-C) accelerate the protonation of adsorbed CO2 to form *COOH intermediates. This work emphasizes the significant role of proton spillover in CO2RR, opening novel avenues for designing high-performance catalysts applicable to various electrocatalytic processes.

Diagnostic accuracy of pleural fluid complement C1q for tuberculous pleural effusion in elderly patients.

BACKGROUND: Previous studies indicated that pleural fluid complement C1q was helpful for diagnosing tuberculous pleural effusion (TPE), but the participants in these studies were young. The diagnostic accuracy of C1q for TPE in elderly patients remains unknown. This study aimed to investigate the diagnostic accuracy of C1q for TPE in elderly patients. METHODS: We prospectively recruited patients with undiagnosed pleural effusion who visited the Affiliated Hospital of Inner Mongolia Medical University between September 2018 and July 2021. Their C1q in pleural fluid was detected, and the diagnostic accuracy of C1q was assessed by the receiver operating characteristic (ROC) curve analysis. RESULTS: The median ages of patients with TPE and non-TPE were 75 and 71 years, respectively. TPE patients had significantly higher C1q than non-TPE. The area under the ROC curve (AUC) of C1q was 0.67 (95 %CI: 0.51-0.82). At the threshold of 100 mg/L, C1q had a sensitivity of 0.44 (95 %CI: 0.19-0.69) and specificity of 0.79 (95 %CI: 0.71-0.86). CONCLUSION: C1q in pleural fluid has low diagnostic accuracy for TPE in elderly patients.

Sex-Specific Differences in the Progression of Huntington's Disease Symptoms - A National Study in China.

INTRODUCTION: Huntington's disease (HD) is a rare, inherited neurodegenerative disorder. Despite extensive research on symptom progression and sex differences in Western populations, little is known about these aspects within the Chinese context. The objective of this study was to investigate the temporal trends of symptoms in individuals with HD in China. METHODS: A nationwide cross-sectional study was conducted in Chinese individuals diagnosed with HD. Symptom progression over time, encompassing physical, psychiatric, and cognitive symptoms, was self-reported. We calculated the proportions of individuals who currently had each symptom by disease duration, and tested corresponding temporal trends by linear regression analyses. RESULTS: A total of 269 individuals diagnosed with HD were included. Specific symptoms were found to progress more significantly in males compared to females over time, including psychotic symptoms (p = 0.007), urinary incontinence (p = 0.013), reduced concentration (p = 0.005), font alteration (p = 0.029), atypical facial expression (p = 0.037), and suicidal ideation (p = 0.047). In terms of cognitive and psychiatric symptoms, no significant temporal trends were identified in females, while males demonstrated significant increasing trends, with reduced concentration (p = 0.005) and psychotic symptoms (p = 0.007) standing out. CONCLUSIONS: This study emphasizes the existence of sex-specific symptom progression in HD within the Chinese population, underscoring the importance of considering sex in clinical practice. Further research should investigate the mechanisms behind these differences and explore tailored treatment options.

Economic Burden of Huntington's Disease in China: Results from a National-Wide Cross-Sectional Study.

BACKGROUND: Huntington's disease (HD) poses a significant socio-economic burden globally. Existing research on HD's economic burden predominantly comes from Western settings, leaving a gap in data from Asian countries. This study aimed to assess the economic burden of HD in China and identify cost-driving factors. METHODS: This study used data from a 2019 nationwide cross-sectional survey of individuals affected by rare diseases in China. Data included socio-demographic characteristics, income, disease stage, health and social insurance coverage status, treatment-seeking behaviour, and costs. Logistic regression and linear regression were used to explore potential contributors to treatment-seeking behaviour and associated costs. RESULTS: Of the 269 individuals with HD included in this study, 80.6% were actively seeking treatment. The average annual direct medical cost, direct non-medical cost, and indirect cost were 3,265.65, 805.82, and 801.97 Euros, respectively. Compared to participants with early-stage HD, those with middle- or advanced-stage HD reported higher direct medical costs (coefficient 1,612.70, 95% confidence interval [CI]: [141.92, 3,083.48] and 2,398.58, 95% CI: [791.16, 4,006.00], respectively). However, the disease stage was not significantly associated with direct non-medical costs or indirect costs. CONCLUSIONS: This study provides crucial insights into the economic burden of HD in China. It emphasises a need for targeted policies that better cater to the financial needs of HD patients.

ROS-triggered and macrophage-targeted micelles modulate mitochondria function and polarization in obesity.

Inflammation involving adipose macrophages is an important inducer of obesity. Regulating macrophages polarization and improving the inflammatory microenvironment of adipose tissue is a new strategy for the treatment of obesity. An amphiphilic chondroitin sulfate phenylborate derivative (CS-PBE) was obtained by modifying the main chain of chondroitin sulfate with the hydrophobic small molecule phenylborate. Using CS-PBE self-assembly, macrophage targeting, reactive oxygen species (ROS) release and celastrol (CLT) encapsulation were achieved. The cytotoxicity, cellular uptake, internalization pathways and transmembrane transport efficiency of CS-PBE micelles were studied in Caco-2 and RAW264.7 cells. Hemolysis and organotoxicity tests were performed to assess the safety of the platform, while its therapeutic efficacy was investigated in high-fat diet-induced obese mice. Multifunctional micelles with macrophage targeting and ROS clearance capabilities were developed to improve the efficacy of CLT in treating obesity.In vitrostudies indicated that CS-PBE micelles had better ability to target M1 macrophages, better protective effects on mitochondrial function, better ability to reduce the number of LPS-stimulated M1 macrophages, better ability to reduce the number of M2 macrophages, and better ability to scavenge ROS in inflammatory macrophages.In vivostudies have shown that CS-PBE micelles improve inflammation and significantly reduce toxicity of CLT in the treatment of obesity. In summary, CS-PBE micelles could significantly improve the ability to target inflammatory macrophages and scavenge ROS in adipose tissue to alleviate inflammation, suggesting that CS-PBE micelles are a highly promising approach for the treatment of obesity.

Financial toxicity, coping strategies, and quality of life among Chinese patients with hematologic malignancies: a cross-sectional study.

PURPOSE: Financial toxicity is used to describe the financial hardship experienced by cancer patients. Financial toxicity may cause negative consequences to patients, whereas little is known in Chinese context. This study aimed to explore the level of financial toxicity, coping strategies, and quality of life among Chinese patients with hematologic malignancies. PATIENTS AND METHODS: We conducted a prospective, observational study among 274 Chinese patients with hematologic malignancies from November 2021 to August 2022 in Sun Yat-sen University Cancer Center. Clinical data were extracted from electronic clinical records. Data on financial toxicity, coping strategies, and quality of life were collected using PRO measures. Chi-square or independent t test and multivariate logistic regression were performed to explore the associated factors of financial toxicity and quality of life, respectively. Effects of financial toxicity on coping strategies were examined using Chi-square. RESULTS: The mean age of the participants was 50.2 (± 14.6) years. Male participants accounted for 57.3%. About half of the participants reported high financial toxicity. An average median of ¥200,000 on total medical expenditures since the diagnosis was reported. The average median monthly out-of-pocket health expenditure relating to cancer treatment was ¥20,000 (range ¥632-¥172,500) after reimbursement. Reduce daily living expenses (64.9%), borrowing money (55.7%), and choosing cheaper regimens (19.6%) were the commonly used strategies to cope with financial burden. Financial toxicity was negatively associated with quality of life (ß = 0.071, P = 0.001). CONCLUSIONS: Financial toxicity was not uncommon in patients with hematological malignancies. Reducing daily living expenses, abandoning treatment sessions, and borrowing money were the strategies commonly adopted by participants to defray cancer costs. Additionally, participants with high level of financial toxicity tended to have worse quality of life. Therefore, actions from healthcare providers, policy-makers, and other stakeholders should be taken to help cancer patients mitigate their financial toxicity.

Age-specific composition of milk microbiota in Tibetan sheep and goats.

This study investigates the dynamic changes in milk nutritional composition and microbial communities in Tibetan sheep and goats during the first 56 days of lactation. Milk samples were systematically collected at five time points (D0, D7, D14, D28, D56) post-delivery. In Tibetan sheep, milk fat, protein, and casein contents were highest on D0, gradually decreased, and stabilized after D14, while lactose and galactose levels showed the opposite trend. Goat milk exhibited similar initial peaks, with significant changes particularly between D0, D7, D14, and D56. 16S rRNA gene sequencing revealed increasing microbial diversity in both species over the lactation period. Principal coordinates analysis identified distinct microbial clusters corresponding to early (D0-D7), transitional (D14-D28), and mature (D56) stages. Core phyla, including Proteobacteria, Firmicutes, Bacteroidetes, and Actinobacteria, dominated the milk microbiota, with significant temporal shifts. Core microbes like Lactobacillus, Leuconostoc, and Streptococcus were common in both species, with species-specific taxa observed (e.g., Pediococcus in sheep, Shewanella in goats). Furthermore, we observed a highly shared core microbiota in sheep and goat milk, including Lactobacillus, Leuconostoc, and Streptococcus. Spearman correlation analysis highlighted significant relationships between specific microbial genera and milk nutrients. For instance, Lactobacillus positively correlated with total solids, non-fat milk solids, protein, and casein, while Mannheimia negatively correlated with protein content. This study underscores the complex interplay between milk composition and microbial dynamics in Tibetan sheep and goats, informing strategies for livestock management and nutritional enhancement. KEY POINTS: • The milk can be classified into three types based on the microbiota composition • The changes of milk microbiota are closely related to the variations in nutrition • Filter out microbiota with species specificity and age specificity in the milk.

Study on the Anti-Mycobacterium marinum Activity of a Series of Marine-Derived 14-Membered Resorcylic Acid Lactone Derivatives.

With the emergence of drug-resistant strains, the treatment of tuberculosis (TB) is becoming more difficult and there is an urgent need to find new anti-TB drugs. Mycobacterium marinum, as a model organism of Mycobacterium tuberculosis, can be used for the rapid and efficient screening of bioactive compounds. The 14-membered resorcylic acid lactones (RALs) have a wide range of bioactivities such as antibacterial, antifouling and antimalarial activity. In order to further study their bioactivities, we initially constructed a 14-membered RALs library, which contains 16 new derivatives. The anti-M. marinum activity was evaluated in vitro. Derivatives 12, 19, 20 and 22 exhibited promising activity with MIC90 values of 80, 90, 80 and 80 µM, respectively. The preliminary structure-activity relationships showed that the presence of a chlorine atom at C-5 was a key factor to improve activity. Further studies showed that 12 markedly inhibited the survival of M. marinum and significantly reduced the dosage of positive drugs isoniazid and rifampicin when combined with them. These results suggest that 12 is a bioactive compound capable of enhancing the potency of existing positive drugs, and its effective properties make it a very useful leads for future drug development in combating TB resistance.

Effectiveness of single-lead ECG devices for detecting atrial fibrillation: An overview of systematic reviews.

BACKGROUND: Individuals with atrial fibrillation (AF) are at an increased risk for stroke. Early detection of undiagnosed AF by screening is recommended. Single-lead electrocardiogram (ECG) is the most widely used technology in AF detection. Several systematic reviews on the diagnostic accuracy of single-lead ECG devices for AF detection have been performed but have yielded inconclusive results. AIMS: The aim of this study was to synthesize the available evidence on the effectiveness of single-lead ECG devices in detecting AF. METHODS: An overview of systematic reviews was conducted. Five English databases (Cochrane Database of Systematic Reviews, PubMed, Embase, Ovid, and Web of Science) and two Chinese databases (Wanfang and CNKI) were searched from inception to July 31, 2021. Systematic reviews that examined the accuracy of tools based on single-lead ECG technology for detecting AF were included. A narrative data synthesis was performed. RESULTS: Eight systematic reviews were finally included. Systematic reviews with meta-analysis showed that single-lead ECG-based devices had good sensitivity and specificity (both ≥90%) in detecting AF. According to subgroup analysis, the sensitivities of tools used in populations with a history of AF were all >90%. However, among handheld and thoracic placed single-lead ECG devices, large variations in diagnostic performance were observed. LINKING EVIDENCE TO ACTION: Single-lead ECG devices can potentially be used for AF detection. Due to the heterogeneity in the study population and tools, future studies are warranted to explore the suitable circumstances in which each tool could be applied for AF screening in an effective and cost-effective manner.

pH-Universal Electrocatalytic CO2 Reduction with Ampere-Level Current Density on Doping-Engineered Bismuth Sulfide.

The practical application of the electrocatalytic CO2 reduction reaction (CO2RR) to form formic acid fuel is hindered by the limited activation of CO2 molecules and the lack of universal feasibility across different pH levels. Herein, we report a doping-engineered bismuth sulfide pre-catalyst (BiS-1) that S is partially retained after electrochemical reconstruction into metallic Bi for CO2RR to formate/formic acid with ultrahigh performance across a wide pH range. The best BiS-1 maintains a Faraday efficiency (FE) of ~95 % at 2000 mA cm-2 in a flow cell under neutral and alkaline solutions. Furthermore, the BiS-1 catalyst shows unprecedentedly high FE (~95 %) with current densities from 100 to 1300 mA cm-2 under acidic solutions. Notably, the current density can reach 700 mA cm-2 while maintaining a FE of above 90 % in a membrane electrode assembly electrolyzer and operate stably for 150 h at 200 mA cm-2. In situ spectra and density functional theory calculations reveals that the S doping modulates the electronic structure of Bi and effectively promotes the formation of the HCOO* intermediate for formate/formic acid generation. This work develops the efficient and stable electrocatalysts for sustainable formate/formic acid production.

Effect of bacillus subtilis strain Z15 secondary metabolites on immune function in mice.

BACKGROUND: Previous studies have shown that secondary metabolites of Bacillus subtilis strain Z15 (BS-Z15) are effective in treating fungal infections in mice. To evaluate whether it also modulates immune function in mice to exert antifungal effects, we investigated the effect of BS-Z15 secondary metabolites on both the innate and adaptive immune functions of mice, and explored its molecular mechanism through blood transcriptome analysis. RESULTS: The study showed that BS-Z15 secondary metabolites increased the number of monocytes and platelets in the blood, improved natural killer (NK) cell activity and phagocytosis of monocytes-macrophages, increased the conversion rate of lymphocytes in the spleen, the number of T lymphocytes and the antibody production capacity of mice, and increased the levels of Interferon gamma (IFN-γ), Interleukin-6 (IL-6), Immunoglobulin G (IgG) and Immunoglobulin M (IgM) in plasma. The blood transcriptome analysis revealed 608 differentially expressed genes following treatment with BS-Z15 secondary metabolites, all of which were significantly enriched in the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) terms for immune-related entries and pathways such as Tumor Necrosis Factor (TNF) and Toll-like receptor (TLR) signaling pathways, and upregulated expression levels of immune-related genes such as Complement 1q B chain (C1qb), Complement 4B (C4b), Tetracyclin Resistant (TCR) and Regulatory Factor X, 5 (RFX5). CONCLUSIONS: BS-Z15 secondary metabolites were shown to enhance innate and adaptive immune function in mice, laying a theoretical foundation for its development and application in the field of immunity.

Diagnostic value of soluble biomarkers for parapneumonic pleural effusion.

Parapneumonic pleural effusion (PPE) is a common complication in patients with pneumonia. Timely and accurate diagnosis of PPE is of great value for its management. Measurement of biomarkers in circulating and pleural fluid have the advantages of easy accessibility, short turn-around time, objectiveness and low cost and thus have utility for PPE diagnosis and stratification. To date, many biomarkers have been reported to be of value for the management of PPE. Here, we review the values of pleural fluid and circulating biomarkers for the diagnosis and stratification PPE. The biomarkers discussed are C-reactive protein, procalcitonin, presepsin, soluble triggering receptor expressed on myeloid cells 1, lipopolysaccharide-binding protein, inflammatory markers, serum amyloid A, soluble urokinase plasminogen activator receptor, matrix metalloproteinases, pentraxin-3 and cell-free DNA. We found that none of the available biomarkers has adequate performance for diagnosing and stratifying PPE. Therefore, further work is needed to identify and validate novel biomarkers, and their combinations, for the management of PPE.

D-Band Center Optimization of Edge-Rich Ultrathin RuZn Nanosheets With Moiré Superlattices for pH-Universal Hydrogen Evolution Reaction.

Electrocatalytic hydrogen evolution reaction (HER) is a promising way to produce pure and clean hydrogen. However, the preparation of efficient and economical catalysts for pH-universal HER remains a challenging but rewarding task. Herein, ultrathin RuZn nanosheets (NSs) with moiré superlattices and abundant edges are synthesized. The RuZn NSs with unique structure exhibit superb HER performance with overpotentials of 11, 13, and 29 mV to achieve 10 mA cm-2 in 1 M KOH, 1 M PBS, and 0.5 M H2 SO4 , respectively, which is substantially lower than those of Ru NSs and RuZn NSs without moiré superlattices. Density functional theory investigations reveal that the charge transfer from Zn to Ru will lead the appropriate downshift of the d-band center of surface Ru atoms, thus accelerating hydrogen desorption from the Ru sites, lowering the dissociation energy barrier of water and greatly improving the HER performance. This work provides an effective design scheme for high-performance HER electrocatalysts over a wide pH range, and propose a general route to prepare Ru-based bimetallic nanosheets with moiré superlattices.

Nomogram prediction of the 70-gene signature (MammaPrint) binary and quartile categorized risk using medical history, imaging features and clinicopathological data among Chinese breast cancer patients.

BACKGROUND: The 70-gene signature (70-GS, MammaPrint) test has been recommended by the main guidelines to evaluate prognosis and chemotherapy benefit of hormonal receptor positive human epidermal receptor 2 negative (HR + /Her2-) early breast cancer (BC). However, this expensive assay is not always accessible and affordable worldwide. Based on our previous study, we established nomogram models to predict the binary and quartile categorized risk of 70-GS. METHODS: We retrospectively analyzed a consecutive cohort of 150 female patients with HR + /Her2- BC and eligible 70-GS test. Comparison of 40 parameters including the patients' medical history risk factors, imaging features and clinicopathological characteristics was performed between patients with high risk (N = 62) and low risk (N = 88) of 70-GS test, whereas risk calculations from established models including Clinical Treatment Score Post-5 years (CTS5), Immunohistochemistry 3 (IHC3) and Nottingham Prognostic Index (NPI) were also compared between high vs low binary risk of 70-GS and among ultra-high (N = 12), high (N = 50), low (N = 65) and ultra-low (N = 23) quartile categorized risk of 70-GS. The data of 150 patients were randomly split by 4:1 ratio with training set of 120 patients and testing set 30 patients. Univariate analyses and multivariate logistic regression were performed to establish the two nomogram models to predict the the binary and quartile categorized risk of 70-GS. RESULTS: Compared to 70-GS low-risk patients, the high-risk patients had significantly less cardiovascular co-morbidity (p = 0.034), more grade 3 BC (p = 0.006), lower progesterone receptor (PR) positive percentage (p = 0.007), more Ki67 high BC (≥ 20%, p < 0.001) and no significant differences in all the imaging parameters of ultrasound and mammogram. The IHC3 risk and the NPI calculated score significantly correlated with both the binary and quartile categorized 70-GS risk classifications (both p < 0.001). The area under curve (AUC) of receiver-operating curve (ROC) of nomogram for binary risk prediction were 0.826 (C-index 0.903, 0.799-1.000) for training and 0.737 (C-index 0.785, 0.700-0.870) for validation dataset respectively. The AUC of ROC of nomogram for quartile risk prediction was 0.870 (C-index 0.854, 0.746-0.962) for training and 0.592 (C-index 0.769, 0.703-0.835) for testing set. The prediction accuracy of the nomogram for quartile categorized risk groups were 55.0% (likelihood ratio tests, p < 0.001) and 53.3% (p = 0.04) for training and validation, which more than double the baseline probability of 25%. CONCLUSIONS: To our knowledge, we are the first to establish easy-to-use nomograms to predict the individualized binary (high vs low) and the quartile categorized (ultra-high, high, low and ultra-low) risk classification of 70-GS test with fair performance, which might provide information for treatment choice for those who have no access to the 70-GS testing.

Syndecan-1 as an immunogene in Triple-negative breast cancer: regulation tumor-infiltrating lymphocyte in the tumor microenviroment and EMT by TGFb1/Smad pathway.

BACKGROUND: Immune checkpoint inhibitors are the most studied forms of immunotherapy for triple-negative breast cancer (TNBC). The Cancer Genome Map (TCGA) and METABRIC project provide large-scale cancer samples that can be used for comprehensive and reliable immunity-related gene research. METHODS: We analyzed data from TCGA and METABRIC and established an immunity-related gene prognosis model for breast cancer. The SDC1 expression in tumor and cancer associated fibroblasts (CAFs) was then observed in 282 TNBC patients by immunohistochemistry. The effects of SDC1 on MDA-MB-231 proliferation, migration and invasion were evaluated. Qualitative real-time PCR and western blotting were performed to identify mRNA and protein expression, respectively. RESULTS: SDC1, as a key immunity-related gene, was significantly correlated with survival in the TCGA and METABRIC databases, while SDC1 was found to be highly expressed in TNBC in the METABRIC database. In the TNBC cohort, patients with high SDC1 expression in tumor cells and low expression in CAFs had significantly lower disease-free survival (DFS) and fewer tumor-infiltrating lymphocytes (TILs). The downregulation of SDC1 decreased the proliferation of MDA-MB-231, while promoting the migration of MDA-MB-231 cells by reducing the gene expression of E-cadherin and TGFb1 and activating p-Smad2 and p-Smad3 expression. CONCLUSION: SDC1 is a key immunity-related gene that is highly expressed TNBC patients. Patients with high SDC1 expression in tumors and low expression in CAFs had poor prognoses and low TILs. Our findings also suggest that SDC1 regulates the migration of MDA-MB-231 breast cancer cells through a TGFb1-Smad and E-cadherin-dependent mechanism.

The association between physical symptoms and self-care behaviours in heart failure patients with inadequate self-care behaviours: a cross-sectional study.

BACKGROUND: Patients with heart failure frequently report inadequate self-care behaviours. Physical symptoms can impact patients' ability to perform self-care behaviours. However, studies investigating the association between physical symptoms and heart failure self-care behaviours have produced inconsistent findings, potentially due to variations in the determinants of self-care behaviours among patients with differing levels of self-care proficiency. Understanding the association between physical symptoms and self-care behaviours in heart failure patients with inadequate self-care behaviours could improve care for this subpopulation. The study aimed to explore the association between physical symptoms and self-care behaviours in Chinese heart failure patients with inadequate self-care behaviours. METHODS: This analysis was based on primary data from a cross-sectional study that aimed to investigate factors associated with self-care in heart failure patients. Physical symptoms were measured using the Heart Failure Somatic Perception Scale. Self-care behaviours (i.e., self-care maintenance and management) of heart failure were measured using the Self-Care of Heart Failure Index (version 6.2). Patients who reported scores < 70 on both self-care maintenance and management behaviours were eligible and included in the analysis. Hierarchical regression analysis was performed to explore the association between physical symptoms and self-care behaviours. RESULTS: A total of 189 patients were included in the analysis, with a mean age of 65 years and a median duration of living with heart failure of 24 months. Most participants were classified as New York Heart Association class III or IV. Dyspnoea symptoms were the most frequently reported physical symptoms. The results of the hierarchical regression analysis showed that the severity of physical symptoms was positively associated with self-care management behaviours (ß = 0.157, 95% CI: 0.010, 0.368, p = 0.039) but not significantly associated with self-care maintenance behaviours (ß = -0.133, 95% CI: -0.316, 0.026, p = 0.097). CONCLUSIONS: Based on the data collected in Changsha, China, we found that patients with HF with poor self-care experienced more dyspnoea symptoms. Severe HF physical symptoms might serve as drivers for better self-care management in patients with inadequate self-care behaviours. Effective care and support should be provided when physical symptoms worsen to facilitate patients' engagement in self-care behaviour in this subpopulation.

Cathepsin C promotes colorectal cancer metastasis by regulating immune escape through upregulating CSF1.

Since metastasis remains the primary reason for colorectal cancer (CRC) associated death, a better understanding of the molecular mechanism underlying CRC metastasis is urgently needed. Here, we elucidated the role of Cathepsin C (CTSC) in promoting CRC metastasis. The expression of CTSC was detected by real-time PCR and immunohistochemistry in the human CRC cohort. The metastatic capacities of CTSC-mediated metastasis were analyzed by in vivo metastasis model. Elevated CSTC expression was positively associated with tumor differentiation, tumor invasion, lymph node metastasis, and AJCC stage and indicated poor prognosis in human CRC. CTSC overexpression in CRC cells promoted myeloid-derived suppressor cells (MDSCs) and tumor-associated macrophages (TAMs) recruitment by the CSF1/CSF1R axis. In contrast, the knockdown of CSF1 reduced CTSC-mediated MDSCs and TAMs infiltration and CRC metastasis. Depletion of either MDSCs or TAMs decreased CTSC-mediated CRC metastasis. In human CRC tissues, CTSC expression was positively associated with intratumoral MDSCs and TAMs infiltration. Furthermore, the combination of CTSC inhibitor AZD7986 and anti-PD-L1 antibody blocked CTSC-induced CRC metastasis. CTSC overexpression promoted MDSCs and TAMs infiltration by CSF1/CSF1R axis. Interruption of this oncogenic loop may provide a promising treatment strategy for inhibiting CTSC-driven CRC metastasis.

Unsupervised clustering analysis of comprehensive health status and its influencing factors on women of childbearing age: a cross-sectional study from a province in central China.

BACKGROUND: Most previous studies on women of childbearing age have focused on reproductive health and fertility intentions, and evidence regarding the comprehensive health status of women of childbearing age is limited. This study aimed to comprehensively examine the health status of women of childbearing age through a multi-method and multi-indicator evaluation, analyze the factors that influence their overall health, and provide sound recommendations for the improvement and promotion of healthy behaviors. METHODS: Data on women of childbearing age living in Shanxi Province were collected between September 2021 and January 2022 through online and offline surveys. The k-means algorithm was used to assess health-related patterns in women, and multivariate nonconditional logistic regression was used to assess the influencing factors of women's overall health. RESULTS: In total, 1,258 of 2,925 (43%) participants were classified as having a good health status in all five domains of the three health dimensions: quality of life, mental health, and illness. Multivariate logistic regression showed that education level, gynecological examination status, health status of family members, access to medical treatment, age, cooking preferences, diet, social support, hand washing habits, attitude toward breast cancer prevention, and awareness of reproductive health were significantly associated with different health patterns. CONCLUSIONS: The comprehensive health status of women of childbearing age in Shanxi Province is generally good; however, a large proportion of women with deficiencies in some dimensions remains. Since lifestyle greatly impacts women's health, health education on lifestyle and health-related issues should be strengthened.