OBJECTIVE: To evaluate the effect of palliative care on drug use, medical service utilization and medical expenditure of patients with advanced cancer. METHODS: A cohort of patients including pal-liative care and standard care was constructed using the medical records of the patients in Peking University Cancer Hospital from 2018 to 2020, and coarsened exact matching was used to match the two groups of patients. The average monthly opioid consumption, hospitalization rate, intensive care unit (ICU) rate and operation rate, and the average monthly total cost were selected to evaluate drug use, medical service utilization and medical expenditure. Chi-square test and Wilcoxon signed rank test were used to compare the differences between the two groups before and after exposure and the change in the palliative care group. The net impact of palliative care on the patients was calculated using the difference-in-differences analysis. RESULTS: In this study, 180 patients in the palliative care group and 3 101 patients in the stan-dard care group were finally included in the matching, and the matching effect of the two groups was good (L₁ < 0.1). Before and after exposure, the average monthly opioid consumption in the palliative care group was significantly higher than that in the standard care group (Before exposure: 0.3 DDD/person-month vs. 0.1 DDD/person-month, P < 0.01; After exposure: 0.7 DDD/person-month vs. 0.1 DDD/person-month, P < 0.01; DDD refers to defined daily dose), palliative care significantly increased the average monthly opioid consumption in the patients (0.3 DDD/person-month, P < 0.01). The hospitalization rate (48.9% vs. 74.3%, P < 0.01) and operation rate (3.9% vs. 8.8%, P < 0.01) of the patients in palliative care group were significantly lower than those in standard care group, and the ICU rate became similar between the two groups (1.1% vs. 1.6%, P=0.634). Palliative care significantly reduced the patients ' hospitalization rate (-25.6%, P < 0.01), ICU rate (-4.9%, P < 0.01) and operation rate (-14.5%, P < 0.01). Before and after exposure, the average monthly total costs of pal-liative care group were slightly higher than those of standard care group (Before exposure: 20 092.3 yuan vs. 19 132.8 yuan, P=0.725; After exposure: 9 719.8 yuan vs. 8 818.8 yuan, P=0.165). Palliative care increased the average monthly total cost by 2 208.8 yuan, but it was not statistically significant (P=0.316). CONCLUSION Palliative care can increase the opioid consumption in advanced cancer patients, reduce the rates of hospitalization, ICU and surgery, but has no significant effect on medical expenditure.
Humans ; Palliative Care/economics* ; Neoplasms/drug therapy* ; Analgesics, Opioid/economics* ; Male ; Female ; Middle Aged ; Aged ; Hospitalization/economics* ; Intensive Care Units/statistics & numerical data* ; Health Expenditures/statistics & numerical data* ; Adult ; Drug Utilization/statistics & numerical data* ; Patient Acceptance of Health Care/statistics & numerical data*

Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods* ; Artificial Intelligence ; Humans ; Precision Medicine ; Decision Support Systems, Clinical

Objective:To exploring the value of MR neuroimaging for quantitative assessment of the facial nerve and peripheral lymph nodes in patients with acute peripheral facial paralysis. Methods:Based on a prospective experimental design, 32 patients with idiopathic peripheral facial palsy were enrolled in the experiment. Based on MR neuroimaging technology, MR high-resolution thin-layer images of bilateral facial nerves were acquired. The diameters of different segments of the bilateral facial nerve were measured, including the labyrinthine segment, the geniculate ganglion, the horizontal segment, the vertical segment, the stem-mammary foramen segment, the trunk of the parotid segment, the temporal trunk, and the cervical trunk, as well as the quantitative indicators of peri-auricular and parotid lymph nodes（number, length and diameter of the largest lymph nodes）. Differences in quantitative indices of nerve diameter and peripheral lymph nodes between the paraplegic and healthy sides were compared using the paired t-test and Wilcoxon signed rank test. Results:The diameter of geniculate ganglion, mastoid foramen stem, parotid main trunk, temporal facial trunk, and cervical facial trunk were notably increased on the facial paralysis side compared to the contralateral side（P<0.05）. However, no significant differences were observed in the diameter of labyrinthine segment, horizontal segment, or vertical segment compared to the contralateral side. There were significantly more periauricular lymph nodes on the facial paralysis side than the contralateral side（P=0.001）. Conclusion:MR neuroimaging enables the quantitative assessment of structural changes in the facial nerve of patients with acute peripheral facial paralysis, demonstrating nerve enlargement in the geniculate ganglion, stylomastoid foramen segment, main trunk of the parotid segment, temporal facial trunk, and cervical facial trunk. Additionally, an increased number of periauricular lymph nodes is observed on the affected side. These findings may aid clinicians in assessing the efficacy of treatments and predict the prognosis of these patients.
Humans ; Facial Nerve/diagnostic imaging* ; Magnetic Resonance Imaging/methods* ; Prospective Studies ; Female ; Male ; Neuroimaging/methods* ; Lymph Nodes/diagnostic imaging* ; Facial Paralysis/diagnostic imaging* ; Adult ; Middle Aged

Protein arginine methyltransferase 5 (PRMT5) acts as an oncogene in liver cancer, yet its roles and in-depth molecular mechanisms within the liver cancer immune microenvironment remain mostly undefined. Here, we demonstrated that disruption of tumor-intrinsic PRMT5 enhances CD8⁺ T-cell-mediated antitumor immunity both in vivo and in vitro. Further experiments verified that this effect is achieved through downregulation of the inhibitory immune checkpoint molecule, fibrinogen-like protein 1 (FGL1). Mechanistically, PRMT5 catalyzed symmetric dimethylation of transcription factor 12 (TCF12) at arginine 554 (R554), prompting the binding of TCF12 to FGL1 promoter region, which transcriptionally activated FGL1 in tumor cells. Methylation deficiency at TCF12-R554 residue downregulated FGL1 expression, which promoted CD8⁺ T-cell-mediated antitumor immunity. Notably, combining the PRMT5 methyltransferase inhibitor GSK591 with PD-L1 blockade efficiently inhibited liver cancer growth and improved overall survival in mice. Collectively, our findings reveal the immunosuppressive role and mechanism of PRMT5 in liver cancer and highlight that targeting PRMT5 could boost checkpoint immunotherapy efficacy.

Gastrointestinal (GI) cancers are a leading cause of cancer morbidity and mortality worldwide. Despite advances in treatment, cancer relapse remains a significant challenge, necessitating novel therapeutic strategies. In this study, we engineered nanobody-based chimeric antigen receptor (CAR) natural killer (NK) cells targeting cadherin 17 (CDH17) for the treatment of GI tumors. In addition, to enhance the efficacy of CAR-NK cells, we also incorporated CV1, a CD47-SIRPα axis inhibitor, to evaluate the anti-tumor effect of this combination. We found that CDH17-CAR-NK cells effectively eliminated GI cancers cells in a CDH17-dependent manner. CDH17-CAR-NK cells also exhibit potent in vivo anti-tumor effects in cancer cell-derived xenograft and patient-derived xenograft mouse models. Additionally, the anti-tumor activity of CDH17-CAR-NK cells is synergistically enhanced by CD47-signal regulatory protein α (SIRPα) axis inhibitor CV1, likely through augmented macrophages activation and an increase in M1-phenotype macrophages in the tumor microenvironment. Collectively, our findings suggest that CDH17-targeting CAR-NK cells are a promising strategy for GI cancers. The combination of CDH17-CAR-NK cells with CV1 emerges as a potential combinatorial approach to overcome the limitations of CAR-NK therapy. Further investigations are warranted to speed up the clinical translation of these findings.

T-cell acute lymphoblastic leukemia (T-ALL) is a highly aggressive hematologic malignancy with a poor prognosis, despite advancements in treatment. Many patients struggle with relapse or refractory disease. Investigating the role of the super-enhancer (SE) regulated gene ubiquitin-specific protease 20 (USP20) in T-ALL could enhance targeted therapies and improve clinical outcomes. Analysis of histone H3 lysine 27 acetylation (H3K27ac) chromatin immunoprecipitation sequencing (ChIP-seq) data from six T-ALL cell lines and seven pediatric samples identified USP20 as an SE-regulated driver gene. Utilizing the Cancer Cell Line Encyclopedia (CCLE) and BloodSpot databases, it was found that USP20 is specifically highly expressed in T-ALL. Knocking down USP20 with short hairpin RNA (shRNA) increased apoptosis and inhibited proliferation in T-ALL cells. In vivo studies showed that USP20 knockdown reduced tumor growth and improved survival. The USP20 inhibitor GSK2643943A demonstrated similar anti-tumor effects. Mass spectrometry, RNA-Seq, and immunoprecipitation revealed that USP20 interacted with hypoxia-inducible factor 1 subunit alpha (HIF1A) and stabilized it by deubiquitination. Cleavage under targets and tagmentation (CUT&Tag) results indicated that USP20 co-localized with HIF1A, jointly modulating target genes in T-ALL. This study identifies USP20 as a therapeutic target in T-ALL and suggests GSK2643943A as a potential treatment strategy.

OBJECTIVE: The investigation of the correlation between ecological factors and the genetic characteristics or metabolites of plants offers valuable insights into the regional causes of genetic and metabolic diversity. Here, Gastrodia elata, a medicinal plant, is employed as a model to explore the environmental factors that influence its genetic characteristics and metabolic accumulations. METHODS: A total of 23 G. elata populations from six cultispecies and 11 cultivated regions were selected based on the predictions of the global geographic information system. The genetic characteristics of these populations were evaluated using highly polymorphic simple sequence repeat markers. Additionally, the metabolic accumulations and antioxidant capacity of mature tubers were measured employing colorimetry and high performance liquid chromatography (HPLC). Ecological data of each region were obtained from the WorldClim-global climate database and harmonized world soil database. To assess the influence of ecological factors on the genetic characteristics and metabolic profiles of G. elata, Pearson's correlation analysis was conducted. RESULTS: Genetic variation among G. elata populations exceeded that within populations. Genetic diverisity, distance and structure manifested regional and species-specific patterns. Metabolic profiling and antioxidant capacity exhibited regional variations. Notably, the Lueyang region demonstrated that a content range of total polysaccharide, total protein, and phenolic glycosides was 9.34%-189.67% higher than the average. Similarly, in the Hubei region, total phenolic content, p-hydroxybenzyl alcohol content, and antioxidant indicators were observed to be higher than the average levels, by 106.57%, 136.47% and 12.50%-91.14%, respectively. Furthermore, ecological factors had a significant comprehensive impact on G. elata genetic characteristics (r > 0.256 and P < 0.05). Multivariate metabolite accumulations in G. elata were influenced by dominant ecological factors. Temperature notably impacted the accumulation of total protein (|r| > 0.528 and P < 0.05). Moisture, encompassing precipitation and soil content, significantly affected the production of phenolic glycosides (|r| > 0.503 and P < 0.05). CONCLUSION The genetic characteristics of G. elata manifested regional and species-specific patterns, with the metabolic accumulations and antioxidant capacity of mature tubers exhibited regional variations. Specifically, multivariate ecological factors comprehensively influenced genetic characteristics. Temperature and moisture played pivotal roles in regulating the accumulations of proteins and phenolic glycosides, respectively. These findings underscore the significant impact of ecological factors on the shaping of G. elata, highlighting their crucial role in enhancing the quality of Chinese medicinal materials.

As one of the core pathogenesis during treatment with traditional Chinese medicine，liver heat runs through different stages of liver disease. The interpretation of its meaning in different medicine categories（traditional Chinese medicine，Tibetan medicine，Mongolian medicine，Uygur medicine，Dai medicine，Yao medicine，etc.） is not unified， and the phenomena of the same name with different meanings，confusion， and misappropriation emerge. This seriously restricts the inheritance，innovation， and clinical application of traditional Chinese medicine and ethnomedicine. By tracing and analyzing liver heat， it is found that liver heat in traditional Chinese medicine is caused by disordered rest and diet， as well as internal injury due to emotional disorder， which leads to liver dysfunction， Qi stagnation， and heat turning to fire in the liver meridian. The liver heat in Tibetan medicine is caused by the accumulated heat of the liver nature and the evil heat in the liver， which stimulates the toxin of Chiba fever. The liver heat in Mongolian medicine derives from the abnormal diet and rest， making excessive Sheila accumulate in the liver and causing disease. The above etiologies are all related to diet， rest，exogenous evil，emotion，and so on， and the pathogenesis is related to the imbalance of Qi and the metabolic disorder of organs. The clinical symptoms are pain in the liver region，yellow eyes， bitter mouth， fever，digestion，and loss of appetite. The principle of treatment and compatibility of prescription are heat-based， with auxiliary detoxification. Other ethnomedicine， such as Uygur medicine， Dai medicine， Yao Medicine，Miao medicine， and She medicine do not have a clear discussion on liver heat，and their etiology， pathogenesis， treatment，and prescription are not systematic，mostly based on a single drug or proven prescriptions.Through the systematic tracing，mining，induction，analysis， and arrangement of the liver heat based on existing literature information database in China，this paper regarded syndrome as the outline and disease as the goal，clarified the similarities and differences of the pathogenesis of liver heat in traditional Chinese medicine，and determined the relationship between liver heat and liver disease and the status quo of syndrome and treatment.This review provides evidence and reference for clinical prevention and treatment，as well as drug development for liver disease.

Objective:To systematically review the clinical value of Golgi protein 73 (GP73) in intrahepatic cholangiocarcinoma (ICC) diagnosis.Methods:Online databases were searched by researchers on CNKI, VIP, Wanfang, PubMed, Embase, and Cochrane library. Clinical studies related to the diagnosis of ICC by GP73 value were included according to inclusion and exclusion criteria. Study data were collected, and then methodological quality was evaluated. Both RevMan 5.3 software and Meta-Disc 1.4 software were used for pooled analysis to investigate the difference of GP73 value between the ICC group and non-ICC group, as well as the diagnostic efficiency of GP73 for ICC.Results:A total of 12 studies comprising 3 723 patients (2 345 males and 1 378 females, aged 18-85 years) were included in the meta-analysis. Among these, 537 cases were definitively diagnosed as ICC, while the remaining 3 186 non-ICC cases included 600 benign liver tumors or healthy controls, 1 795 hepatocellular carcinomas (HCC), and 791 cases of liver cirrhosis. Pooled analysis of serum GP73 levels demonstrated that the ICC group exhibited higher GP73 values than the benign liver tumor/healthy control group [standardized mean difference ( SMD)=2.53, 95% CI: 1.38-3.64], exhibited lower GP73 values than the HCC group ( SMD=-1.69, 95% CI: -2.48--0.89), and both of them reached statistically significant difference (both P<0.001). No statistically significant difference was observed between the ICC and liver cirrhosis groups ( SMD=-0.33, 95% CI: -0.92-0.26, P=0.270). Regarding tissue GP73, the ICC patients showed a significantly higher rate compared to the benign liver tumor [ RR=2.31, 95% CI: 1.83-2.93, P<0.0001], whereas no significant difference was found between the ICC and HCC groups ( RR=0.83, 95% CI: 0.57-1.22, P=0.340). GP73 for ICC diagnosis yielded an area under the ROC curve of 0.87, with a sensitivity of 73% and specificity of 75%. Conclusion:GP73 demonstrates potential utility in ICC diagnosis, but its clinical application may be confounded by concurrent conditions such as liver cirrhosis, which should be identified in clinical practice.

Objective To evaluate the application effect of perioperative cluster nursing interventions in patients under-going robot-assisted radical prostatectomy.Methods A total of 122 prostate cancer patients who underwent robot-assisted sur-gery from January 2023 to December 2024 were divided into the control group(routine care,55 cases)and the observation group(cluster nursing,67 cases)according to the nursing methods.The psychological status,surgery-related indicators,postoperative recovery,incidence of perioperative complications,and patient satisfaction were compared between the two groups.Results The observation group demonstrated a statistically significant decrease in postoperative anxiety and depression scores compared to the control group(P=0.034,P=0.005).The observation group exhibited shorter operative time and less intraoperative blood loss,with both differences being statistically significant(P=0.016,P＜0.001).In terms of postoperative recovery,the obser-vation group showed faster recovery of bowel function,shorter time for catheter insertion and postoperative hospital stay compared to the control group(P=0.010,P＜0.001,P＜0.001).In the observation group,the incidence of systemic postoperative in-fection was lower than that of the control group(4.5％vs 18.2％,P=0.015).The perioperative hypothermia rate in the obser-vation group was lower than that of the control group(38.8％vs 60.0％,P=0.020).There was no statistically significant difference in postoperative urinary fistula rate between the two groups(P=0.477).The observation group achieved an overall patient satisfaction rate of 98.51％,with higher satisfaction scores compared to the control group(P=0.008).Conclusion Perioperative cluster nursing measures yield favorable outcomes in patients undergoing robot-assisted radical prostatectomy.It can not only shorten the operation time,promote the postoperative recovery of patients,but also reduce the anxiety and depression of patients and complica-tions,and improve patient satisfaction.