Objective:To investigate the expression of NFAT5 and IGF1R in nasopharyngeal carcinoma tissues and analyze their expression levels in relation to clinical features and prognosis. Methods:From January 1, 2019, to December 31, 2019, 69 cases of nasopharyngeal carcinoma tissues and adjacent non-cancerous tissues were collected from patients treated at Yunnan Cancer Hospital. Immunohistochemistry was employed to detect the expression of NFAT5 and IGF1R in nasopharyngeal carcinoma tissues. The Kaplan-Meier method was used to predict survival time, and the clinicopathological features were evaluated using the log-Rank test. Results:The positive expression rates of NFAT5 and IGF1R in nasopharyngeal carcinoma tissues were 87.0% and 84.5%, respectively. Compared to adjacent normal tissues, the expression levels of NFAT5 and IGF1R in nasopharyngeal carcinoma tissues were significantly increased （P<0.05）. Furthermore, the expression of NFAT5 and IGF1R was positively correlated with T stage, N stage, skull base invasion, and cranial nerve palsy （P<0.05）. The overexpression of NFAT5 and IGF1R significantly affected the survival rate of patients with nasopharyngeal carcinoma and was negatively correlated with prognosis （P<0.05）. Conclusion:In nasopharyngeal carcinoma tissues, overexpression of NFAT5 and IGF1R is observed, which is closely linked to clinical features and patient outcomes. These markers may serve as valuable indicators for predicting the prognosis of nasopharyngeal carcinoma.
Humans ; Nasopharyngeal Carcinoma/pathology* ; Nasopharyngeal Neoplasms/metabolism* ; Prognosis ; Female ; Receptor, IGF Type 1/metabolism* ; Male ; Transcription Factors/metabolism* ; Middle Aged ; Survival Rate ; Adult ; Neoplasm Staging

Objective:Retrospective analysis of the correlation between clinicopathologic features and related indexes and prognosis in patients with recurrent nasopharyngeal carcinoma. Methods:One hundred and eight nasopharyngeal cancer（NPC） patients with post-treatment recurrence in Yunnan Cancer Hospital from January 2013 to January 2018 were collected, and the survival time was estimated by Kaplan-Meier method, and clinicopathological characteristics were analyzed by log-rank test; risk factors and prognosis were analyzed by Cox proportional risk model for single-factor and multifactorial analysis. A P-value <0.05 was considered statistically significant. Results:The median survival of all patients was 54 months, with a 3-year survival rate of 80.2% and a 5-year survival rate of 39.8%. The 5-year overall survival rate was 50.2% for patients >46 years old and 27.9% for patients ≤46 years old（P<0.05）, a statistically significant difference. Univariate analysis showed that overall survival was associated with age, chemotherapy regimen, EBV early antigen IgA, plasma D-dimer, glycan antigen-125, γ-interferon, α-tumor necrosis factor, IL-10, and IL-4（P<0.05）. Multifactorial analysis revealed that age, chemotherapy regimen, EBV early antigen IgA, plasma D-dimer, glycan antigen-125, and interleukin 10 were independent influences on the prognosis of recurrent nasopharyngeal carcinoma（P<0.05）. Conclusion:Differences in chemotherapy regimens affect the prognosis of recurrent nasopharyngeal carcinoma. Elevated plasma D-dimer, glycan antigen 125, and interleukin 10 levels affect the overall survival of recurrent nasopharyngeal carcinoma, which may be a valid independent prognostic factor, and are expected to provide new biomarkers for nasopharyngeal carcinoma in the clinic.
Humans ; Prognosis ; Nasopharyngeal Neoplasms/mortality* ; Nasopharyngeal Carcinoma ; Retrospective Studies ; Neoplasm Recurrence, Local ; Male ; Middle Aged ; Female ; Survival Rate ; Adult ; Risk Factors ; Interleukin-10/blood* ; Aged ; Proportional Hazards Models

BACKGROUND: Lung adenocarcinoma (LUAD) remains one of the leading causes of cancer morbidity and mortality worldwide, and its initiation and progression are closely associated with the tumor immune microenvironment. Increasing evidence suggests that environmental exposure is a critical factor influencing lung cancer development. Among these factors, fine particulate matter (PM2.5), a major component of air pollution, has been strongly linked to elevated lung cancer risk and unfavorable prognosis. However, the underlying immunoregulatory mechanisms by which PM2.5 drives LUAD progression remain poorly understood. Tumor-associated macrophages (TAMs), especially those polarized toward the M2 phenotype, are key components of the tumor microenvironment and play crucial roles in tumor growth, angiogenesis, and immune evasion. This study aims to investigate the effects of PM2.5 exposure on TAMs and to identify the key pro-tumorigenic factors mediating this process. METHODS: A mouse orthotopic lung cancer model under PM2.5 exposure was established to assess lung tumor growth and macrophage phenotypic alterations using in vivo imaging and flow cytometry. A subcutaneous tumor model involving co-inoculated macrophages and tumor cells was used to further verify the effects of PM2.5 on the function of TAMs and tumor malignancy. Combining in vitro experiments, flow cytometry, Western blot, reverse transcription quantitative polymerase chain reaction (RT-qPCR), cell counting kit-8 (CCK-8) assay, colony formation assay, and wound healing assay were employed to evaluate the regulatory effects of PM2.5 on the polarization of bone marrow-derived macrophages (BMDMs) as well as tumor cell proliferation, migration, and colony-forming ability. Transcriptome sequencing integrated with TISIDB (Tumor-immune System Interactions Database) and GEPIA (Gene Expression Profiling Interactive Analysis) databases was performed to identify key cytokines for further functional validation. RESULTS: In the mouse orthotopic lung cancer model, PM2.5 exposure significantly promoted tumor growth and increased the proportion of M2-type TAMs (P<0.05). Subcutaneous co-inoculation with PM2.5-treated BMDMs markedly enhanced tumor proliferation and elevated the intratumoral M2-type TAMs. PM2.5-pretreated BMDMs exhibited an immunosuppressive programmed cell death ligand 1 (PD-L1)+/arginase 1 (Arg1)+ phenotype, and their conditioned media significantly promoted proliferation, migration, and colony formation of Lewis lung carcinoma cells (LLC) and B16 melanoma cells (B16) (P<0.05). Transcriptome analysis revealed that PM2.5 substantially altered macrophage gene expression, with IL-1α identified as a key upregulated secreted cytokine enriched in immunosuppressive related signaling pathways. Clinical database analyses further indicated that IL-1α expression was positively correlated with macrophage and regulatory T cells (Treg) infiltration in the LUAD immune microenvironment, and that high IL-1α expression was associated with worse overall survival in LUAD patients (HR=1.5, P=0.0053). Western blot, RT-qPCR, and immunofluorescence confirmed that PM2.5 exposure significantly upregulated IL-1α expression and secretion in TAMs. CONCLUSIONS PM2.5 exposure facilitates LUAD progression by inducing an immunosuppressive phenotype in macrophages and enhancing the malignant behaviors of tumor cells. Mechanistically, IL-1α may serve as a key pro-tumorigenic cytokine secreted by macrophages under PM2.5 exposure. This study provides new insights into the pathogenesis of PM2.5-associated LUAD and suggests that IL-1α could serve as a potential therapeutic target.
Animals ; Mice ; Tumor-Associated Macrophages/immunology* ; Particulate Matter/toxicity* ; Adenocarcinoma of Lung/metabolism* ; Lung Neoplasms/genetics* ; Humans ; Disease Progression ; Tumor Microenvironment/drug effects* ; Cell Proliferation/drug effects* ; Cell Line, Tumor

Progressive pulmonary fibrosis (PPF) is a progressive and lethal condition with few effective treatment options. Improvements in quality of life for patients with PPF remain limited even while receiving treatment with approved antifibrotic drugs. Traditional Chinese medicine (TCM) has the potential to improve cough, dyspnea and fatigue symptoms of patients with PPF. TCM treatments are typically diverse and individualized, requiring urgent development of efficient and precise design strategies to identify effective treatment options. We designed an innovative Bayesian adaptive two-stage trial, hoping to provide new ideas for the rapid evaluation of the effectiveness of TCM in PPF. An open-label, two-stage, adaptive Bayesian randomized controlled trial will be conducted in China. Based on Bayesian methods, the trial will employ response-adaptive randomization to allocate patients to study groups based on data collected over the course of the trial. The adaptive Bayesian trial design will employ a Bayesian hierarchical model with "stopping" and "continuation" criteria once a predetermined posterior probability of superiority or futility and a decision threshold are reached. The trial can be implemented more efficiently by sharing the master protocol and organizational management mechanisms of the sub-trial we have implemented. The primary patient-reported outcome is a change in the Leicester Cough Questionnaire score, reflecting an improvement in cough-specific quality of life. The adaptive Bayesian trial design may be a promising method to facilitate the rapid clinical evaluation of TCM effectiveness for PPF, and will provide an example for how to evaluate TCM effectiveness in rare and refractory diseases. However, due to the complexity of the trial implementation, sufficient simulation analysis by professional statistical analysts is required to construct a Bayesian response-adaptive randomization procedure for timely response. Moreover, detailed standard operating procedures need to be developed to ensure the feasibility of the trial implementation. Please cite this article as: Zhang C, Nie YS, Zhang CT, Yang HJ, Zhang HR, Xiao W, Cui GF, Li J, Li SJ, Huang QS, Yan SY. An adaptive Bayesian randomized controlled trial of traditional Chinese medicine in progressive pulmonary fibrosis: Rationale and study design. J Integr Med. 2025; 23(2): 138-145.
Female ; Humans ; Male ; Bayes Theorem ; Disease Progression ; Drugs, Chinese Herbal/therapeutic use* ; Medicine, Chinese Traditional/methods* ; Pulmonary Fibrosis/therapy* ; Quality of Life ; Randomized Controlled Trials as Topic ; Research Design ; Adaptive Clinical Trials as Topic

Objective:To investigate the correlation between insulin resistance surrogate indicators and early-stage kidney injury in type 2 diabetes mellitus(T2DM).Methods:A total of 918 T2DM patients hospitalized in the Endocrinology Department of Xinhua Hospital from January 2018 to December 2020 were selected, including 313 patients with early-stage kidney injury and 605 without. Differences in insulin resistance surrogate indicators, including triglyceride to high-density lipoprotein cholesterol ratio(TG/HDL-C), triglyceride glucose(TyG) index, and triglyceride glucose-body mass index(TyG-BMI), were compared between the two groups. Factors associated with early-stage kidney injury in T2DM were analyzed, and the impact of TG/HDL-C, TyG index, and TyG-BMI on early-stage kidney injury in T2DM were explored.Results:Compared with T2DM patients without early-stage kidney injury, those with early-stage kidney injury exhibited significantly elevated levels of TG/HDL-C, TyG index, and TyG-BMI( P< 0.001). TG/HDL-C, TyG index, TyG-BMI, age, duration of diabetes, systolic blood pressure, fasting insulin, and HbA 1C were identified as independent risk factors for early-stage kidney injury in T2DM. Compared to the Q1 quartile, the risk in the Q4 quartile was 3.168 times(95% CI 1.993-5.036) for TG/HDL-C, 2.714 times(95% CI 1.710-4.306) for TyG index, and 2.893 times(95% CI 1.820-5.598) for TyG-BMI. Conclusion:Insulin resistance surrogate indicators TG/HDL-C, TyG index, and TyG-BMI are significantly elevated in T2DM patients with early-stage kidney injury, serving as independent risk factors for early-stage renal impairment in T2DM.

Objective:To investigate the clinical characteristics of patients with hepatitis B virus（HBV）-related primary hepatocellular carcinoma（HCC）who were treated in a multidisciplinary team（MDT）for liver cancer，so as to provide a basis for clinical optimization of the diagnosis and treatment of patients with chronic hepatitis B（CHB）.Methods:A retrospective analysis was performed for 482 HBV-related HCC patients who were treated with HCC-MDT every Thursday afternoon in The First Affiliated Hospital of the Army Medical University from January 2022 to May 2024，aged 18-87（55.54±10.84）years，86.93%（419/482）males and 13.07%（63/482）females. According to the different underlying liver diseases at the time of initial medical treatment and the different prognostic outcomes at the later follow-up，the differences in clinical characteristics between groups under different conditions were compared and analyzed，and the influencing factors of HCC prognosis were understood by Logistic regression analysis. Results:At the time of MDT presentation，the differences in HBeAg status（ χ2=6.311 ，P=0.043），γ-glutamyl traspeptidase（GGT）（ Z=6.277， P=0.043），alkaline phosphatase（ALP）（ Z=7.236 ，P=0.027），and model for end-stage liver disease（MELD）scores（ Z=6.111， P=0.047）among patients with different underlying liver diseases were statistically significant. At follow-up，6.75%（11/163）of HBV-related HCC patients who presented to MDT had a family history of HCC，and their cumulative mortality rate was as high as 60.8%（205/337）at least for 1 year. Mulitivariate Logistic regression analysis showed that different underlying liver disease at the time of initial medical treatment，HBV DNA replication level，MELD score and choice of anti-cancer treatment regimen were the influencing factors for the prognosis of HCC（all P<0.05）. The worse the degree of cirrhosis at the initial presentation，the higher the level of HBV DNA replication，and the higher the MELD score，the worse the prognosis for HCC. Conclusion:Advancing the diagnosis and treatment of CHB，maximizing the inhibition of HBV DNA replication，reducing the MELD score，and optimizing the anti-cancer treatment regimen can reduce the mortality rate of HBV-related HCC.

Objective:To analyze the efficacy of combination of peginterferon α-2b（Peg-IFN α-2b）with nucleos（t）ide analogues（NAs）on antiviral therapy in children with chronic hepatitis B（CHB）and to provide an optimized clinical treatment strategies for CHB children.Methods:A retrospective analysis was conducted on 30 CHB children treated in The First Affiliated Hospital of the Army Medical University（Southwest Hospital）from January 2022 to January 2025 with treatment duration at least 48 weeks. The enrolled children were aged between 2 and 17 years and divided into the NAs combined with Peg-IFN α-2b（NPI）group（n=13）and NAs group（n=17）by their therapy regimens. The characteristics of baseline，week 12，week 24，week 48 and week 96 were compared between groups，as well as the differences in response to biochemical，immune and viral indicators at each observation point. Logistic regression analysis and receiver operating characteristic（ROC）curve analysis were performed to identify factors influencing the HBsAg seroclearance. Results:At baseline of treatment，the proportion of HBeAg positivity in the NPI group and the NAs group was high（76.9% vs 86.6%， χ2=0.679， P=0.628），and the alanine aminotransferase（ALT）and aspartate aminotransferase（AST）in the NPI group were significantly lower than those in the NAs group（ P<0.001）. At 24 weeks，the decrease in HBsAg in the NPI group was also significantly higher than that in the NAs group（ Z=-3.161， P=0.002）. Finally，the cumulative seroclearance rate of HBsAg at 96 weeks in the NPI group was significantly higher than that in the NAs group（46.15% vs 5.88%， χ2=0.679， P=0.025）. Mulitivariate Logistic regression analysis showed that treatment regimen and gender were risk factors affecting the outcome of HBsAg（ P<0.05）. ROC curve analysis showed that the increase in ALT at 12 weeks compared with baseline（AUC=0.857，Cutoff value=3.615 IU/L），the decrease in ALT at 24 weeks（AUC=0.870，Cutoff value=47.85 IU/L），and the decrease in HBsAg at 12 weeks and especially at 24 weeks（AUC=0.885，Cutoff value=0.97log IU/ml）were effective predictors of HBsAg prognosis at 96 weeks. Conclusion:In CHB children，antiviral regimen Peg-IFN α-2b combined with NAs was more effective than NAs alone in improving the HBsAg seroclearance rate of CHB，and the effects in female were better than in male. The decline of HBsAg and the fluctuation of ALT in the early treatment period are valid predictors of HBsAg clearance.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.