Cancer has become a significant global public health issue， severely impacting public health and societal development. Despite advances in tumor treatment methods in recent years and a gradual decline in cancer mortality rates， drug-related adverse reactions and drug resistance remain substantial challenges. Traditional Chinese medicine （TCM） has demonstrated significant clinical efficacy in cancer treatment and small side effects， making it widely applied in the field of oncology. Xuefu Zhuyutang， derived from Yilin Gaicuo， is known for its abilities to invigorate blood circulation， dispel blood stasis， promote Qi flow， and alleviate pain. It was specifically formulated by the esteemed WANG Qingren of the Qing dynasty for the "blood stasis syndrome in the blood mansion" and is commonly used to treat Qi stagnation and blood stasis syndrome. Clinical studies have shown that Xuefu Zhuyutang， when combined with conventional Western medications， produces significant effects in the treatment of malignant tumors such as liver cancer， lung cancer， and cervical cancer. It substantially reduces the incidence of adverse reactions following Western treatments， including radiation esophagitis， radiation encephalopathy， radiation-induced oral mucositis， and edema. Additionally， it alleviates cancer-related pain and fever， blood hypercoagulability， and associated complications such as depression and anxiety， and also mitigates chemotherapy-induced side effects like hand-foot syndrome. Basic research has demonstrated its potential anti-tumor mechanisms， including the inhibition of Wnt/β-catenin signaling pathway activation， suppression of mitogen-activated protein kinase （MAPK） pathway activation， and anti-tumor angiogenesis. Pharmacological studies have revealed that its active components inhibit tumor cell proliferation and migration， induce tumor cell apoptosis， suppress tumor angiogenesis， enhance the cytotoxicity of natural killer cells against tumors， improve the tumor microenvironment， and regulate immune function. This paper reviewed the latest research progress on Xuefu Zhuyutang in the treatment of malignant tumors from four aspects： theoretical exploration， clinical studies， mechanisms of action， and pharmacological basis， aiming to provide insights and methods for the clinical diagnosis and treatment of malignant tumors.

Cancer has become a significant global public health issue， severely impacting public health and societal development. Despite advances in tumor treatment methods in recent years and a gradual decline in cancer mortality rates， drug-related adverse reactions and drug resistance remain substantial challenges. Traditional Chinese medicine （TCM） has demonstrated significant clinical efficacy in cancer treatment and small side effects， making it widely applied in the field of oncology. Xuefu Zhuyutang， derived from Yilin Gaicuo， is known for its abilities to invigorate blood circulation， dispel blood stasis， promote Qi flow， and alleviate pain. It was specifically formulated by the esteemed WANG Qingren of the Qing dynasty for the "blood stasis syndrome in the blood mansion" and is commonly used to treat Qi stagnation and blood stasis syndrome. Clinical studies have shown that Xuefu Zhuyutang， when combined with conventional Western medications， produces significant effects in the treatment of malignant tumors such as liver cancer， lung cancer， and cervical cancer. It substantially reduces the incidence of adverse reactions following Western treatments， including radiation esophagitis， radiation encephalopathy， radiation-induced oral mucositis， and edema. Additionally， it alleviates cancer-related pain and fever， blood hypercoagulability， and associated complications such as depression and anxiety， and also mitigates chemotherapy-induced side effects like hand-foot syndrome. Basic research has demonstrated its potential anti-tumor mechanisms， including the inhibition of Wnt/β-catenin signaling pathway activation， suppression of mitogen-activated protein kinase （MAPK） pathway activation， and anti-tumor angiogenesis. Pharmacological studies have revealed that its active components inhibit tumor cell proliferation and migration， induce tumor cell apoptosis， suppress tumor angiogenesis， enhance the cytotoxicity of natural killer cells against tumors， improve the tumor microenvironment， and regulate immune function. This paper reviewed the latest research progress on Xuefu Zhuyutang in the treatment of malignant tumors from four aspects： theoretical exploration， clinical studies， mechanisms of action， and pharmacological basis， aiming to provide insights and methods for the clinical diagnosis and treatment of malignant tumors.

Objective: To analyze adverse event following immunization(AEFI) with the domestic bivalent human papilloma virus (HPV) vaccine among female students in primary, junior, and senior high schools in Hebei Province from 2022 to 2024, aiming to provide evidence for the vaccination program. Methods: On May 14, 2025, AEFI case data and vaccination data for the domestic bivalent HPV vaccine among female students in primary, junior, and senior high schools in Hebei Province from 2022 to 2024 were collected from the China Disease Control and Prevention Information System and the Hebei Provincial Immunization Program Information Management System, respectively. Statistical analysis was performed by using descriptive and analytical epidemiological methods, with intergroup comparisons conducted by using the Chi square test or Fisher s exact probability test. Results: From 2022 to 2024, a total of 817 900 doses of the domestic bivalent HPV vaccine were administered to female students in primary, junior, and senior high schools in Hebei Province. A total of 68 AEFI cases were reported, comprising 57 common vaccine reactions, 7 rare vaccine reactions, 3 coincidental events, and 1 psychogenic reaction. The overall AEFI reporting rate was 8.31 per 100 000 doses, 4 cases (2.30/100 000 doses), 31 cases (8.73/100 000 doses), and 33 cases (11.41/100 000 doses) were reported in 2022, 2023, and 2024, respectively, with a statistically significant difference across years ( χ 2=10.97, P <0.01). The reporting rates for common and rare vaccine reactions were 6.97 per 100 000 doses and 0.86 per 100 000 doses, respectively. The AEFI reporting rates were 15.14 per 100 000 doses among primary school girls and 8.20 per 100 000 doses among secondary school girls, though the difference was not statistically significant (Fisher s exact test, P =0.30). The reporting rate was higher after the first dose (10.91/100 000 doses) than after the second dose (5.96/100 000 doses; χ 2=5.85, P =0.02).The second quarter recorded the highest AEFI reporting rate at 11.21 per 100 000 doses. The majority of AEFI cases (56 cases, 82.35%) occurred within 24 hours post vaccination. Conclusion The domestic bivalent HPV vaccine demonstrates a favorable safety profile among female students in Hebei Province, with a low overall AEFI reporting rate that consisted predominantly of general reactions and occasional cardiac related reactions.

ObjectiveTo elucidate the epidemiological characteristics, evolution of the pathogen spectrum, and spatial distribution patterns of other infectious diarrheal diseases (excluding cholera, typhoid fever, paratyphoid fever, and bacillary dysentery) in Yangpu District of Shanghai from 2005 to 2024, thereby providing a scientific basis for the formulation of targeted prevention and control strategies. MethodsInformation on other infectious diarrhea cases with a current address in Yangpu District of Shanghai, and onset dates from January 1, 2005 to December 31, 2024, was extracted from the Chinese Center for Disease Control and Prevention Information System. Data on cases, including gender, age, occupation, and pathogen testing results, were collected. Descriptive epidemiological methods were employed to analyze the temporal, spatial, and demographic distribution of reported incidence rates and the epidemiological characteristics of pathogens for other infectious diarrheal diseases in Yangpu District from 2005 to 2024. Spatial autocorrelation analyses of reported incidence rates for viral and bacterial diarrhea were conducted using Moran’s Index (Moran’s I）. Local spatial autocorrelation analyses were performed using local indicators of spatial association (LISA), with a first-order Queen contiguity spatial weight matrix, and significance was tested via 999 random permutations. Time-series and radar chart analyses were used to examine the temporal patterns of other infectious diarrhea cases caused by major pathogens. ResultsFrom 2005 to 2024, a total of 5 211 cases of other infectious diarrhea were reported in Yangpu District. The cases were predominantly males (2 714 cases, accounting for 52.08%) and children under 5 years of age (1 639 cases, accounting for 31.45%). The primary occupational groups were scattered children (1 433 cases, accounting for 27.50%) and retired personnel (1 403 cases, accounting for 26.92%). The annual average reported incidence rate was 20.36/100 000, showing an overall fluctuating trend with peaks around 2009 and 2024. Peak incidence occurred in summer and autumn (July‒September), with the highest reported incidence rate observed in summer (June‒August) (7.31/100 000). Children under 5 years of age (116.00/100 000) and adults aged 60 and older (21.39/100 000) were the top two age groups in terms of reported incidence. Global spatial autocorrelation analyses showed that the reported incidence rates of viral diarrhea across the sub-districts in Yangpu District in 2020 exhibited a significant positive spatial correlation (Moran’s I =0.30, P=0.016). The spatial autocorrelation of reported incidence rates of viral diarrhea in each sub-district for the periods 2008‒2019 and 2021‒2024 was not statistically significant (all P>0.05). Local spatial autocorrelation analyses of viral diarrhea incidence in 2020 revealed that Xinjiangwancheng Sub-district exhibited a low‑low clustering trend (local Moran’s I =0.49, P=0.018), while Dinghai Road Sub-district exhibited a high‑high clustering trend (local Moran’s I =1.33, P=0.024). The global spatial autocorrelation of reported incidence rates of bacterial diarrhea across the sub-districts of Yangpu District from 2005 to 2024 was not statistically significant (all P>0.05). Among the 5 211 cases, 4 049 had definitive pathogen test results. Bacterial diarrhea accounted for a relatively high proportion (55.52%, 2 248/4 049). The pathogens with the highest proportions were rotavirus (32.33%, 1 309/4 049), Vibrio spp. (31.69%, 1 283/4 049), Salmonella spp. (19.63%, 795/4 049), and norovirus (9.16%, 371/4 049). The radar chart showed that diarrhea cases caused by norovirus had no obvious seasonality, rotavirus cases were mainly concentrated in winter, and cases caused by Salmonella spp. and Vibrio spp. were mainly concentrated in summer and autumn. Among cases under 20 years of age, rotavirus accounted for a relatively high proportion, especially in children under 5 years of age. Among cases aged 20 years and older, Vibrio spp. and Salmonella spp. accounted for relatively high proportions. ConclusionFrom 2005 to 2024, other infectious diarrhea in Yangpu District of Shanghai was most prevalent in summer and autumn. Children under 5 years of age and adults aged 60 years and older were high-risk groups. In 2020, Dinghai Road Sub-district was a high-risk area for viral diarrhea. Rotavirus, Vibrio spp., Salmonella spp., and norovirus were the dominant pathogens. Prevention and control efforts for other infectious diarrhea should be strengthened among key populations (e.g., children under 5 years of age and adults aged 60 years and older) and in high-risk areas such as Dinghai Road Sub-district. During summer and autumn, priority should be given to the prevention and control of bacterial diarrhea caused by Salmonella spp. and Vibrio spp., especially among individuals aged 20 years and older (particularly those aged 60 and above). During winter, priority should be given to the prevention and control of diarrhea caused by rotavirus infection among individuals under 20 years of age, particularly children under 5 years of age.

Objective To assess the potential role of disulfidptosis-related genes (DRGs) in pan-cancer on prognosis and immunity on the basis of bioinformatics approaches. Methods Pan-cancer RNA-seq data, mutation profiles, clinical information, TMB, MSI, stemness scores, and tumor and immune microenvironment data contained in TCGA and various open-source online databases, and multi-group R-language algorithms were used for comprehensive analysis. The expression levels of DRGs at the cellular level were experimentally validated using qPCR. Results LRPPRC, NCKAP1, NDUFS1, and NUBPL had a better prognosis in renal clear cell carcinoma (P<0.001), whereas SLC7A11, NCKAP1, and SLC3A2 had a worse prognosis in hepatocellular carcinoma (P<0.001). TME analysis showed that LRPPRC was negatively correlated with immune cells, stromal cells, and estimated scores in all tumor types. TMB analysis revealed the potential research value of DRGs for PD-1/PD-L1 therapy in pan-cancer. Drug sensitivity analysis showed that SLC7A11 (r=0.454), SLC3A2 (r=0.366), and NCKAP1 (r=0.455) were significantly associated with Kahalide F (P<0.01). Experimental validation demonstrated the overall higher expression levels of GYS1 and NCKAP1 than normal cells in lung adenocarcinoma, colon adenocarcinoma, esophageal squamous carcinoma, and hepatocellular carcinoma (P<0.05). Conclusion Pan-cancer analysis of DRGs indicates that DRGs may serve as important biomarkers for the diagnosis and prognosis of renal clear-cell carcinoma, lung adenocarcinoma, and hepatocellular carcinoma.

Objective:This article reports a case of right sinonasal teratocarcinosarcoma. The patient was admitted to the hospital with symptoms of persistent nasal obstruction in both nostrils. Nasal endoscopy revealed the presence of new growths in the right nasal cavity and nasopharynx. Sinus CT imaging showed that the nasal cavity, paranasal sinuses, and nasopharynx were filled with soft tissue density shadows, with evidence of bone destruction. Transnasal endoscopic sinonasal surgery was performed, and postoperative pathology, along with immunohistochemical results, confirmed a diagnosis of sinonasal teratocarcinosarcoma. This case is analyzed, and relevant literature is reviewed.
Humans ; Carcinosarcoma ; Paranasal Sinus Neoplasms ; Nose Neoplasms ; Male ; Teratoma ; Middle Aged

ObjectiveTo screen key genes associated with neuroblastoma （NB） diagnosis and prognosis using the Gene Expression Omnibus （GEO） database， and to investigate the expression and clinical significance of nucleoporin 93 （NUP93） in NB tissues. MethodsNB gene chip data （GSE73517， GSE49710， GSE19274） were retrieved from the GEO database. Differentially expressed genes （DEGs） commonly upregulated in high-risk groups were screened. The R2 database was then used to assess the prognostic value of DEGs that were commonly upregulated in the MYCN amplification group. Finally， NUP93 expression levels in the tissues from 60 NB， 25 ganglioneuroblastoma （GNB）， and 26 ganglioneuroma （GN） cases were measured by immunohistochemistry . ResultsTwenty-five DEGs were identified as commonly upregulated in high-risk groups. Among these， 10 genes （SIVA1， NUP93， STIP1， LSM4， RAI14， MYOZ3， KNTC1， TNFRSF10B， TACC3 and CEP152） showed significantly higher expression in MYCN-amplified subgroups （P＜0.05）. Survival analysis revealed that high NUP93 expression was associated with shorter overall survival （HR = 4.0， 95% CI： 3.0，5.3， P = 1.80 × 10⁻³⁴）. Immunohistochemistry results revealed that NUP93 expression in NB tissues was significantly higher than in GNB and GN tissues （P＜0.001）. NUP93 expression was positively correlated with high mitosis-karyorrhexis index （MKI； P=0.040）， poor differentiation （P＜0.001）， and MYCN expression （r_s = 0.793， P ＜0.001）. ConclusionsHigh expression of NUP93 is associated with high MKI and poor differentiation， and predicts unfavorable prognosis in patients with NB， suggesting it may promote tumor progression by regulating MYCN. NUP93 has the potential to be a novel diagnostic biomarker and therapeutic target for NB.

This article explored the strategies of promoting access to medicines for rare diseases with digital and intelligent transformation technology in China. It summarized the mature, global-oriented, digital and intelligent transformation supported platforms for promoting rare disease research, technology and product development, as well as diagnosis and treatment information sharing in typical countries and region. This was followed with analyses of the challenges of access to medicines for rare diseases in China. It also systematically reviewed a range of policies implemented in China intended to promote access to medicines for rare diseases, and the digital and intelligent solutions to promote access to medicines for rare diseases at national and regional levels. The authors proposed that the central government agencies and their technical support institutions take a lead to construct a patient-centered dynamic and decentralized national big data sharing platform for rare diseases registry and research, medicines development, production and supply, access to care and medicines, payment and security, utilization surveillance in China. With the support of digital and intelligent technologies, this national platform would be able to link multiple stakeholders to achieve integrated analysis of big data, as well as international sharing and exchange, which will help to effectively and efficiently promote access to medicines for rare diseases in China.

BACKGROUND: Cancer is a major public health concern, particularly among middle-aged and elderly populations, who are disproportionately affected by rising cancer incidence. Environmental pollution has been identified as a significant risk factor for cancer development. China's Carbon Emission Trading Policy (CETP), implemented in pilot regions since 2013, aims to reduce carbon emissions and improve air quality. This study evaluates the impact of CETP on pan-cancer incidence, with a focus on its effects on specific cancer types and vulnerable populations. METHODS: This quasi-natural experiment utilized data from the China Health and Retirement Longitudinal Study (CHARLS) and environmental data from the China National Environmental Monitoring Center (2011-2018). A staggered difference-in-differences (DID) model was employed to estimate the impact of CETP on cancer incidence. Robustness tests, including parallel trend tests, placebo analysis, and entropy balancing, validated the findings. Subgroup analyses were performed to assess the policy's heterogeneous effects based on gender, Body Mass Index (BMI), and smoking status. RESULTS: CETP implementation significantly reduced the incidence of six cancer types: endometrial, cervical, gastric, esophageal, breast, and lung cancers. Overall, pan-cancer incidence significantly declined post-policy implementation (CETP × POST: -47.200, 95% CI: [-61.103, -33.296], p < 0.001). The policy demonstrated stronger effects in highly polluted areas and among individuals with poorer mental health. Subgroup analysis revealed that females, individuals with lower BMI, and non-smokers experienced more substantial benefits. CONCLUSIONS CETP significantly reduces cancer incidence by improving environmental quality and influencing mental health, with particularly strong effects observed among high-risk populations. This study highlights the important role of environmental economic policies in mitigating cancer burden and promoting public health. Future research should further explore the long-term impacts of this policy and its applicability across different national and regional contexts.
Humans ; Incidence ; Neoplasms/epidemiology* ; China/epidemiology* ; Middle Aged ; Female ; Male ; Aged ; Air Pollution/legislation & jurisprudence* ; Carbon/analysis* ; Longitudinal Studies ; Air Pollutants/analysis* ; Environmental Exposure

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.