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Our study aims to investigate the role of pyrimidine metabolism in prostate cancer and its associations with the immune microenvironment, drug sensitivity, and tumor mutation burden. Through transcriptomic and single-cell RNA sequencing analyses, we explored metabolic pathway enrichment, immune infiltration patterns, and differential gene expression in prostate cancer samples. The results showed that pyrimidine metabolism-related genes were significantly upregulated in the P2 subgroup compared to the P1 subgroup, with enhanced metabolic activity observed in basal and luminal epithelial cells. In addition, immune infiltration analysis revealed a strong correlation between pyrimidine metabolism and immune cell regulation, particularly involving T cell activity. Tumors in the P2 subgroup, characterized by higher pyrimidine metabolism, exhibited greater infiltration of activated CD4 + T cells and M2 macrophages, indicating a potential link between metabolic reprogramming and the immune response in prostate cancer. Drug sensitivity analysis further demonstrated that tumors with elevated pyrimidine metabolism displayed increased responsiveness to several chemotherapeutic agents, including BI-2536, JW-7-24-1, and PAC-1, suggesting that targeting pyrimidine metabolism may enhance treatment efficacy. Moreover, key genes involved in pyrimidine de novo synthesis, such as RRM2, were identified as potential drivers of tumor progression, providing new insights into the molecular mechanisms underlying aggressive prostate cancer phenotypes. In conclusion, pyrimidine metabolism plays a critical role in prostate cancer progression, influencing immune infiltration and drug sensitivity. Targeting this metabolic pathway offers a promising strategy for the development of new therapeutic approaches, particularly for overcoming drug resistance and improving outcomes in patients with advanced prostate cancer., Competing Interests: Declarations. Competing interests: The authors declare no competing interests., (© 2025. The Author(s).)

The long-term impact of postoperative morbidity following laparoscopic liver resection for hepatocellular carcinoma is unclear. This study aimed to investigate whether the prognosis of hepatocellular carcinoma patients were affected by postoperative morbidity after laparoscopic liver resection. Hepatocellular carcinoma patients who underwent curative-intent laparoscopic liver resection were included. Risk factors of 30-day morbidity were identified using logistic regression analysis. Early (≤ 2 years) and late (> 2 years) recurrence rates, overall survival, and time to recurrence were compared among patients with and without postoperative morbidity. Independent prognostic factors of overall survival and time to recurrence of these patients were investigated using Cox regression analysis. This study included 420 patients, 147 (35%) of whom experienced postoperative morbidity. Diabetes mellitus, cirrhosis, portal hypertension, Child-Pugh grade B, multiple tumors, poor tumor differentiation and intraoperative blood transfusion were risk factors of postoperative morbidity. Patients with postoperative morbidity had higher early and late recurrence rates than those without postoperative morbidity (38.8% vs. 22.4%, P = 0.001; 50% vs. 25.5%, P = 0.001). Postoperative morbidity was associated with decreased overall survival (median: 54.5 months vs. not reached, P < 0.001) and time to recurrence (median: 36.4 vs. 68.2 months; P < 0.001). Postoperative morbidity resulted in a 43% and 92% higher risk of long-term mortality (HR 1.43; 95% CI 1-2.03; P = 0.048) and recurrence (HR 1.92; 95% CI 1.41-2.62; P < 0.001). For hepatocellular carcinoma patients undergoing laparoscopic liver resection, long-term oncologic outcomes are adversely affected by postoperative morbidity. Therefore, it is of great importance for surgeons to prevent and manage postoperative morbidity., Competing Interests: Declarations. Competing interests: The authors declare no competing interests. Consent to participate: This study was conducted in accordance with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards. Ethical approval was obtained from the Institutional Ethics Committee of Nantong First People’s Hospital (approval number: 2024KT260). Due to the retrospective nature of the study, the Institutional Ethics Committee of Nantong First People’s Hospital waived the need of obtaining informed consent. Consent to publish: All authors confirm that the work described has not been published before and is not under consideration for publication elsewhere. All authors have seen and gave consent to the publication of this study. Ethics approval: Ethical approval was obtained from the Institutional Ethics Committee of Nantong First People’s Hospital (approval number: 2024KT260). Due to the retrospective nature of the study, the Institutional Ethics Committee of Nantong First People’s Hospital waived the need of obtaining informed consent., (© 2025. The Author(s).)

This study aims to evaluate the prognostic utility of Activity-dependent neuroprotective protein (ADNP) expression in Circulating Tumor Cells (CTCs) inpatients with Non-muscle-invasive Bladder Cancer (NMIBC) undergoing Transurethral Resection of Bladder Tumor (TURBT). A prospective cohort of 74 bladder cancer patients and 22 non-cancer controls were enrolled. The expression of ADNP mRNA was detected by immunomagnetic beads-droplet digital PCR. The ADNP mRNA expression was evaluated in patients with high-risk NMIBC and those with indeterminate invasion depth post 2nd TURBT. Primary cultured bladder cancer cells and PBMCs from healthy donors were immunofluorescence stained. Our findings suggest that baseline ADNP mRNA level in CTCs shows potential as a prognostic marker for NMIBC with a sensitivity of 83.33% and a specificity of 73.58%. In comparison to baseline, ADNP mRNA expression increased post 2nd TURBT in 5 patients, where 2 experienced recurrence. Meanwhile, among the 12 patients with decreased levels, only one patient relapsed. A considerable limitation of this study entails the small sample size. The Immuno-magnetic beads-ddPCR technique provided a viable method for ADNP mRNA detection in CTCs from bladder cancer patients. The preoperative ADNP mRNA level in CTCs was identified as a prognostic indicator for NMIBC. Longitudinal monitoring of ADNP mRNA in CTCs of bladder cancer patients shows promise in evaluating treatment responses and predicting prognosis., (© 2024. The Author(s).)

The burden of rheumatoid arthritis (RA) has gradually elevated, increasing the need for medical resource redistribution. Forecasting RA patient arrivals can be helpful in managing medical resources. However, no relevant studies have been conducted yet. This study aims to construct a long short-term memory (LSTM) model, a deep learning model recently developed for novel data processing, to forecast RA patient arrivals considering meteorological factors and air pollutants and compares this model with traditional methods. Data on RA patients, meteorological factors and air pollutants from 2015 to 2022 were collected and normalized to construct moving average (MA)- and autoregressive (AR)-based and LSTM models. After data normalization, the root mean square error (RMSE) was adopted to evaluate models' forecast ability. A total of 2422 individuals were enrolled. Not using the environmental data, the RMSEs of the MA- and AR-based models' test sets are 0.131, 0.132, and 0.117 when the training set: test set ratio is 2:1, 3:1, and 7:1, while they are 0.110, 0.130, and 0.112 for the univariate LSTM models. Considering meteorological factors and air pollutants, the RMSEs of the MA- and AR-based model test sets were 0.142, 0.303, and 0.164 when the training set: test set ratio is 2:1, 3:1, and 7:1, while they were 0.108, 0.119, and 0.109 for the multivariable LSTM models. Our study demonstrated that LSTM models can forecast RA patient arrivals more accurately than MA- and AR-based models for datasets of all three sizes. Considering the meteorological factors and air pollutants can further improve the forecasting ability of the LSTM models. This novel method provides valuable information for medical management, the optimization of medical resource redistribution, and the alleviation of resource shortages., (© 2024. The Author(s).)

One of the primary tasks for effective disaster relief after a catastrophic earthquake is robust communication. In this paper, we propose a simple logistic method based on two-parameter sets of geology and building structure for the failure prediction of the base stations in post-earthquake. Using the post-earthquake base station data in Sichuan, China, the prediction results are 96.7% and 90% for the two-parameter sets and all parameter sets, respectively, and 93.3% for the neural network method sets. The results show that the two-parameter method outweighs the whole parameter set logistic method and the neural network prediction and can effectively improve the accuracy of the prediction. The weight parameters of two-parameter set by the actual field data significantly show that the failure of base stations after earthquake is mainly due to the geological differences where the base stations are located. It can be envisioned that if the geological distribution between the earthquake source and the base station is parameterized, the multi-parameter sets logistic method can not only effectively solve the failure prediction after earthquakes and the evaluation of communication base stations under complex conditions, but also provide site selection evaluation for the construction of civil buildings and power grid towers in earthquake-prone areas., (© 2023. The Author(s).)

Permeability tests are performed by using the flexible wall permeameter to study the influence of bentonite-HDTMA (hexadecyl trimethyl ammonium bromide) on the permeability performance of Loess as a lining material in the solid waste landfill. Results show, the impermeability of compacted Loess in the middle and lower reaches of the Yellow River in China does not meet the standard requirement as the landfill liner. The permeability of Loess mixed with more than 10% bentonite ratio is less than 1.0 × 10 -7  cm·s -1 . The permeability of Loess increases slightly after mixing a small amount of HDTMA. The impermeability of Loess mixed with some bentonite-HDTMA ratio still meet the standard requirement. The HDTMA may destroy the soil aggregate structure and increase the soil permeate channel. The SEMs show that the bentonite clay particle can fill the pores between Loess coarse particles and improve the impermeability performance of the material. The digital photos show that HDTMA can effectively resist the development of soil macro-cracks induced by wetting-drying cycles, better for liner to maintain good impermeability. On this basis, the relationship between the hydraulic conductivity of bentonite-HDTMA modified Loess and dry density is constructed. From this study, Loess can be used as a lining material for landfills, when mixed with bentonite/HDTMA at ratios of 10%/0% or 14%/2%., (© 2023. The Author(s).)

This study aims to evaluate the predictive value of the prognostic nutritional index (PNI) and albumin-bilirubin grade (ALBI) for the postoperative prognosis of hepatitis B virus-associated hepatocellular carcinoma (HBV-HCC) patients undergoing radical hepatectomy (RH). Besides, we seek to identify novel prognosis indicators for HBV-HCC patients. Between April 2009 and March 2015, this work enrolled 868 patients diagnosed with HBV-HCC and undergoing RH in the Liver Surgery Department, West China Hospital, Sichuan University (WCHSU). The basic information, laboratory examination indicators, pathological reports, and follow-up data of patients were included. SPSS 22.0 statistical software was used for statistical data analyses. Platelet (PLT), alpha-fetoprotein (AFP), maximum diameter (max-D), number of tumors (Number), degree of differentiation (DD), Microvascular invasion situation (MVI), satellite focus situation (SF), PNI, and ALBI were the independent risk factors for both overall survival (OS) and disease-free survival (DFS) of HBV-HCC patients undergoing RH. Taking PNI = 46 and ALBI = - 2.80 as cut-off values, the OS and DFS of the PNI-high group were significantly higher than those of the PNI-low group. Meanwhile, the OS and DFS of the ALBI-low group were significantly higher than those of the ALBI-high group; the OS and DFS of the PNI-high + ALBI-low group were significantly higher than those of the PNI-low + ALBI-high group. Xie prognostic index (XPI) was the independent risk factor for both OS and DFS of HBV-HCC patients undergoing RH. The OS and DFS of the XPI-high group were significantly higher than those of the XPI-low group. This paper reveals that preoperative PNI and ALBI can predict the OS and DFS of HBV-HCC patients undergoing RH. Their impact on the prognosis of HBV-HCC patients is insignificant, however, it cannot be ignored. XPI can precisely predict the prognosis of HBV-HCC patients undergoing RH, nonetheless, its effect requires additional research for validation., (© 2021. The Author(s).)

Psoriasis is a chronic inflammatory skin disease that affects 2-3% of the global population, and there is still no known possibility of a cure. Lipoxin A4 (LXA4), an endogenous lipoxygenase-derived eicosanoid mediator, has potent dual pro-resolving and anti-inflammatory properties. BML-111 (5(S)-6(R)-7-trihydroxyheptanoic acid methyl ester), a lipoxin receptor agonist, has been previously confirmed to be equivalent to LXA4 in the anti-inflammatory processes. High mobility group box 1 (HMGB1) serves as an inflammatory cytokine when secreted extracellularly in psoriatic lesions and is involved in the development of psoriasis. Therefore, we investigated the effects of LXA4 and BML-111 on the HMGB1 signaling cascade and inflammation in lipopolysaccharide (LPS)-induced keratinocytes and imiquimod (IMQ)-induced psoriasiform dermatitis in mice. In the present study, we found that treatment with BML-111 attenuated the development of IMQ-induced psoriasiform dermatitis. Furthermore, treatment with BML-111 and LXA4 inhibited HMGB1 translocation from the nucleus to cytoplasm and downregulated the expression of toll-like receptor 4 (TLR4), receptor for advanced glycation end products (RAGE), p-ERK1/2, nuclear NF-κB p65, and proinflammatory cytokines in vivo and in vitro. Our findings indicate that LXA4 and its analog may be potential therapeutic candidates for psoriasis because of their ability to modulate the translocation and expression of HMGB1.