Objective To investigate the effects of Huayu Xiaopi Decoction on the proliferation and migration of AGS cells;To explore its mechanism in treating precancerous lesions of gastric cancer.Methods AGS cells were divided into blank group,inhibitor group and Huayu Xiaopi Decoction high-,medium-and low-dosage groups.The blank group was cultured with 15%control serum,the inhibitor group was cultured with 10 μmol/L HIF-1α inhibitor,and the Huayu Xiaopi Decoction high-,medium-and low-dosage groups were cultured with 12%,6%and 3%drug containing serum,respectively.CCK-8 method was used to detect cell survival rate,cell migration ability was detected by scratch test,immunofluorescence was used to detect the expressions of proliferating cell nuclear antigen(PCNA),matrix metalloproteinase(MMP)-2 and MMP-9 in AGS cells,the expressions of HIF-1α,COX-2,VEGF,VEGFR2,MMP-2,MMP-9 mRNA and HIF-1α,COX-2,VEGF,VEGFR2 proteins in AGS cells were detected by RT-PCR and Western blot.Results Compared with the blank group,the cell survival rate and migration rate were significantly decreased in the inhibitor group and each dosage of Huayu Xiaopi Decoction groups(P<0.05),the expressions of PCNA,MMP-2 and MMP-9 significantly decreased in the inhibitor group and Huayu Xiaopi Decoction high-and medium-dosage groups(P<0.05),the mRNA expressions of HIF-1α,COX-2,VEGF,VEGFR2,MMP-2,MMP-9 and the protein expression of HIF-1α,COX-2,VEGF,VEGFR2 were significantly decreased(P<0.05).Conclusion Huayu Xiaopi Decoction can inhibit the proliferation and migration of AGS cells,and its mechanism is related to the regulation of the expression of key molecules in HIF-1α/VEGF signaling pathway.

Purpose To investigate the expression of bone sialoprotein(BSP)in the tissues and cells of endome-trial cancer(EC)and its effects on the proliferation and invasion of EC cells.Methods The expression of BSP was assessed by immunohistochemistry in 235 EC tissues and 88 normal endometrial tissues,and its correlation with clinico-pathological features was analyzed.Western blot was used to compare BSP levels between human endometrial carcinoma cell line(HHUA)and normal human endumetial epithelial cells(HEEC).BSP was knocked down in HHUA cells via transient transfection,and the cells were divided into blank control group and BSP-knockdown group.The effects of BSP knockdown on cell cycle,proliferation,migration,invasion,and apoptosis were evaluated using PI staining,CCK-8,scratch,Transwell,and Annexin V-FITC assays,respectively.Protein levels of TGF-β signaling pathway compo-nents were analyzed by Western blot.Results BSP expression was significantly higher in EC tissues than in normal endometrium(P＜0.001)and correlated with lymph node metastasis and advanced FIGO stage(P＜0.05).BSP pro-tein level was also significantly elevated in HHUA cells(2.455 8±0.008 9)compared to HEECs(1.571 2±0.005 4)(P＜0.01).After knockdown,compared with the control group,the proliferation index(74.4±3.33),migration rate(0.48±0.03),and invasion ability(0.36±0.11)of the cells were increased,and the apoptosis rate(25.97％)of the cells was increased(P＜0.05).Furthermore,the expression levels of TGF-β signaling pathway downstream proteins TGF-β1(0.290 4±0.002 3)、TGF-β2(0.292 9±0.001 6)、Smad2(0.469 3±0.001 1)、Smad3(0.247 0±0.001 7)、pAKT(0.382 1±0.001 9)、ATK(0.119 6±0.001 6)and MEK1(0.258 9±0.000 3)in the BSP-knockdown group of EC cells decreased(P＜0.01).Conclusion BSP is highly expressed in endometrial cancer and promotes cancer cell proliferation,invasion,and metastasis by activating the TGF-β signaling pathway.

Objective:To retrieve, summarize and evaluate the best evidence for the non-pharmacological management of patients with cancer pain, so as to provide an evidence-based basis for the scientific management of cancer pain by healthcare professionals.Methods:A systematic search of the national and international literature on the non-pharmacological management of cancer pain was conducted, with a timeframe of January 2017 to January 2024. The quality of the included literature was evaluated, and evidence was extracted and summarized for those that met the quality criteria.Results:A total of 18 papers were included, including one clinical decision, seven guidelines, three expert consensus, and seven systematic reviews. Twenty-eight pieces of evidence were summarized around six themes of pain assessment, cognitive-behavioral interventions, physical therapy, interventional therapy and surgery, and self-management education and follow-up.Conclusions:Healthcare professionals should develop a patient-centered, appropriate and feasible non-pharmacological management plan for cancer pain with multiple agreements with patients and families, taking into account the clinical context and individual differences of patients in China, in order to improve the quality of life.

Objective:To analyze the key β-amyloid protein (Aβ) deposition in brain regions affecting the progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD).Methods:Based on the positron emission tomography data of Aβ in the Alzheimer's disease neuroimaging initiative database, the penalized generalized estimating equation (PGEE) and the mixed effects regression forest algorithm (MERF) were used to conduct dimensionality reduction analysis on 164 brain regions with Aβ deposition. Additionally, a multivariate longitudinal data joint model was used to screen the key Aβ deposition brain regions that influence the progression from MCI to AD.Results:Five key brain regions were commonly screened out by the PGEE and MERF models, they were the right prefrontal orbital cortex, the left superior temporal sulcus shore cortex, the right medial orbitofrontal cortex, the left putamen, and the right transverse temporal cortex, respectively. The results of the multivariate longitudinal data joint model based on these 5 Aβ deposition brain regions showed that, except the left superior temporal sulcus shore cortex, the longitudinal change trajectories of the other 4 Aβ deposition brain regions all affected the progression from MCI to AD ( P<0.05). Conclusion:The Aβ deposition in the right prefrontal orbital cortex, right medial orbitofrontal cortex, left putamen and right transverse temporal cortex affect the progression from MCI to AD.

Objective To investigate the effects of Huayu Xiaopi Decoction on the proliferation and migration of AGS cells;To explore its mechanism in treating precancerous lesions of gastric cancer.Methods AGS cells were divided into blank group,inhibitor group and Huayu Xiaopi Decoction high-,medium-and low-dosage groups.The blank group was cultured with 15%control serum,the inhibitor group was cultured with 10 μmol/L HIF-1α inhibitor,and the Huayu Xiaopi Decoction high-,medium-and low-dosage groups were cultured with 12%,6%and 3%drug containing serum,respectively.CCK-8 method was used to detect cell survival rate,cell migration ability was detected by scratch test,immunofluorescence was used to detect the expressions of proliferating cell nuclear antigen(PCNA),matrix metalloproteinase(MMP)-2 and MMP-9 in AGS cells,the expressions of HIF-1α,COX-2,VEGF,VEGFR2,MMP-2,MMP-9 mRNA and HIF-1α,COX-2,VEGF,VEGFR2 proteins in AGS cells were detected by RT-PCR and Western blot.Results Compared with the blank group,the cell survival rate and migration rate were significantly decreased in the inhibitor group and each dosage of Huayu Xiaopi Decoction groups(P<0.05),the expressions of PCNA,MMP-2 and MMP-9 significantly decreased in the inhibitor group and Huayu Xiaopi Decoction high-and medium-dosage groups(P<0.05),the mRNA expressions of HIF-1α,COX-2,VEGF,VEGFR2,MMP-2,MMP-9 and the protein expression of HIF-1α,COX-2,VEGF,VEGFR2 were significantly decreased(P<0.05).Conclusion Huayu Xiaopi Decoction can inhibit the proliferation and migration of AGS cells,and its mechanism is related to the regulation of the expression of key molecules in HIF-1α/VEGF signaling pathway.

Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.

Objective:To investigate the clinicopathological features, diagnosis, and prognosis of renal solitary fibrous tumor (SFT).Methods:Five cases of renal SFT with unequivocal diagnoses at the Affiliated Hospital of Qingdao University between January 2011 and July 2025 were subject to analyses of their clinical, morphological, immunophenotypic, and molecular characteristics, accompanied by a literature review.Results:Two males and three females aged between 45 and 62 years were included, all of whom presented with the discovery of a renal mass during routine physical examinations. Gross examination showed that the five tumors were all confined in the kidney. The tumors were nodular with maximum diameters ranging from 2.5 cm to 11.0 cm (mean, 5.8 cm). Upon cross-sectioning, they exhibited gray-white or gray-yellow cut surface. Histologically, the tumor cells exhibited oval or short spindle shapes in four cases, presenting with varying densities and arranged in short bundles, woven patterns, and irregular formation. Various amounts of coarse collagen and scattered staghorn blood-vessels were found in the stroma. In one case (case 5), the tumor cells were long spindle-shaped, densely organized in bundles, and interwoven, exhibiting inconspicuous boundaries, moderate nuclear atypia, and at least 4 mitotic figures per 10 high-power fields. Irregular patchy collagen deposition was particularly prominent at the edges of the tumor tissue. In two cases (cases 3 and 5), scattered and various amounts of renal tubules were observed in the tumor. Two cases (cases 4 and 5) demonstrated focal invasion of the renal parenchyma, although no necrosis was noted. Immunohistochemical staining showed that the tumor cells were diffusely and strongly positive for vimentin and STAT6 in all 5 cases, and positive for CD34. Bcl-2 positivity was present in 4 of the 5 cases. All cases were negative for CKpan, EMA, PAX8, HMB45, Melan A, SMA, and S-100 protein. The p53 status was wild type, and the Ki-67 index ranged from 1% to 8%. Next-generation sequencing was conducted on one case (case 4), revealing the NAB2 (exon 3)::STAT6 (exon 18) gene fusion. The 5 patients were followed up for 1 to 158 months (mean, 56 months), and all were alive with no recurrence or metastasis.Conclusions:SFT of the kidney are rare and morphologically similar to extrarenal SFT. Key morphological features include short spindle-shaped tumor cells arranged in bundles, interwoven patterns or irregularly, accompanied by staghorn blood-vessels and scattered coarse hyaline collagen fibers. SFT with epithelial inclusions may represent a relatively common histological subtype in the kidney. Immunohistochemical staining that demonstrates diffuse and strong positivity for STAT6 and CD34 is instrumental in diagnosing this tumor. The pathogenesis is linked to the centromeric inversion of chromosome 12q, resulting in the fusion of the NAB2 and STAT6 genes. Most of these tumors exhibit favorable prognosis.

Objective:To investigate the clinicopathological characteristics, molecular features, differential diagnosis and prognosis of renal cell carcinoma (RCC) with TFEB gene amplification.Methods:A total of 113 cases of unclassified RCCs and RCCs with TFEB positive expression were collected from the Affiliated Hospital of Qingdao University and Navy 971 Hospital from January 2010 to December 2024. Eight cases of RCCs with TFEB amplification were identified using tissue microarrays, immunohistochemistry, and fluorescence in situ hybridization (FISH) techniques. The clinicopathological data and prognosis of the 8 cases were summarized, and relevant literature was reviewed.Results:Among the 8 cases, there were 5 males and 3 females. The average age was 63.4 (54, 77) year and the median age was 63.5 (59.0, 65.5) year. Seven cases were detected through physical examination, and 1 case presented with initial symptoms of metastasis to bones and lungs. The cohort included 1 biopsy specimen and 7 surgical resection specimens. The tumor diameters ranged from 2.5 to 15.0 cm. The cut surfaces of 5 cases were grayish-yellow or grayish-red, and 2 cases exhibited a colorful appearance, among which 3 cases involved renal sinus and 1 case showed invasion of the perirenal fat tissue. Microscopically, 4 cases were composed of clear cells arranged in solid sheets or acinar structures, along with varying numbers of eosinophilic cells. Two cases exhibited the morphology of high-grade eosinophilic RCC, and 1 case presented biphasic morphology with diffuse polygonal eosinophilic tumor cells and dense small cell components. The remaining 1 case exhibited the morphology of clear cell RCC. According to the WHO/ISUP nuclear grading system, 6 cases were Grade 3 and 2 cases were Grade 2. Multifocal necrosis was observed in 4 cases. In 4 surgical specimens, the tumor tissue invaded the renal parenchyma, with 2 cases showing nodular infiltration to surrounding tissues and 1 case with intravascular tumor thrombus. Immunohistochemical results showed varying degrees of TFEB nuclear positivity in 6 cases (6/8). Melanocytic markers such as Melan A (5/8) and HMB45 (3/8) were expressed at varying degrees. Cathepsin K (6/8), GPNMB (6/8), P504s (7/8) and CD10 (7/8) were positively expressed in most cases. FISH results revealed high-copy amplification of TFEB gene in 4 cases (partially showing clustered amplification) and low-copy amplification in 4 cases. During the follow-up period of 3 to 64 months of the 8 cases, 3 cases metastasized and 2 cases died of disease (both with high-copy TFEB gene amplification).Conclusions:RCC with TFEB gene amplification is rare and exhibits diverse morphological features. A common morphological characteristic of this type of tumor is a mixture of sheet-like clear cells and high nuclear grade eosinophilic cells. Combined immunohistochemical staining for TFEB, melanocytic markers, and GPNMB is helpful for the diagnosis of the tumor, and FISH detection of TFEB gene amplification is the most definitive method in diagnosing this tumor. RCC with TFEB gene amplification usually presents with strong aggressiveness and poor prognosis. Combining surgical resection with immunotherapy or VEGFR-targeted drugs might have therapeutic effects on the tumor.

Objective:To investigate the clinicopathological characteristics, molecular features, differential diagnosis and prognosis of renal cell carcinoma (RCC) with TFEB gene amplification.Methods:A total of 113 cases of unclassified RCCs and RCCs with TFEB positive expression were collected from the Affiliated Hospital of Qingdao University and Navy 971 Hospital from January 2010 to December 2024. Eight cases of RCCs with TFEB amplification were identified using tissue microarrays, immunohistochemistry, and fluorescence in situ hybridization (FISH) techniques. The clinicopathological data and prognosis of the 8 cases were summarized, and relevant literature was reviewed.Results:Among the 8 cases, there were 5 males and 3 females. The average age was 63.4 (54, 77) year and the median age was 63.5 (59.0, 65.5) year. Seven cases were detected through physical examination, and 1 case presented with initial symptoms of metastasis to bones and lungs. The cohort included 1 biopsy specimen and 7 surgical resection specimens. The tumor diameters ranged from 2.5 to 15.0 cm. The cut surfaces of 5 cases were grayish-yellow or grayish-red, and 2 cases exhibited a colorful appearance, among which 3 cases involved renal sinus and 1 case showed invasion of the perirenal fat tissue. Microscopically, 4 cases were composed of clear cells arranged in solid sheets or acinar structures, along with varying numbers of eosinophilic cells. Two cases exhibited the morphology of high-grade eosinophilic RCC, and 1 case presented biphasic morphology with diffuse polygonal eosinophilic tumor cells and dense small cell components. The remaining 1 case exhibited the morphology of clear cell RCC. According to the WHO/ISUP nuclear grading system, 6 cases were Grade 3 and 2 cases were Grade 2. Multifocal necrosis was observed in 4 cases. In 4 surgical specimens, the tumor tissue invaded the renal parenchyma, with 2 cases showing nodular infiltration to surrounding tissues and 1 case with intravascular tumor thrombus. Immunohistochemical results showed varying degrees of TFEB nuclear positivity in 6 cases (6/8). Melanocytic markers such as Melan A (5/8) and HMB45 (3/8) were expressed at varying degrees. Cathepsin K (6/8), GPNMB (6/8), P504s (7/8) and CD10 (7/8) were positively expressed in most cases. FISH results revealed high-copy amplification of TFEB gene in 4 cases (partially showing clustered amplification) and low-copy amplification in 4 cases. During the follow-up period of 3 to 64 months of the 8 cases, 3 cases metastasized and 2 cases died of disease (both with high-copy TFEB gene amplification).Conclusions:RCC with TFEB gene amplification is rare and exhibits diverse morphological features. A common morphological characteristic of this type of tumor is a mixture of sheet-like clear cells and high nuclear grade eosinophilic cells. Combined immunohistochemical staining for TFEB, melanocytic markers, and GPNMB is helpful for the diagnosis of the tumor, and FISH detection of TFEB gene amplification is the most definitive method in diagnosing this tumor. RCC with TFEB gene amplification usually presents with strong aggressiveness and poor prognosis. Combining surgical resection with immunotherapy or VEGFR-targeted drugs might have therapeutic effects on the tumor.

BACKGROUND: The incidence and mortality rates of lung cancer remain on the rise, creating an urgent need for screening among high-risk populations and early prevention. This study aims to explore the association and interaction between multidimensional lifestyle, socioeconomic status, and the incidence of lung cancer, and to provide scientific evidence for screening high-risk populations and preventing lung cancer. METHODS: Healthy lifestyle score was constructed using information on smoking, alcohol consumption, exercise, diet and sleep obtained through a questionnaire survey. Socioeconomic status was evaluated based on information on education, employment, and family income, and genetic testing data were used to assess the risk of genetic variation. A proportional hazards assumption test was conducted, and the Cox proportional hazards model was applied to analyze the associations between healthy lifestyle scores, socioeconomic status, and lung cancer, as well as the interactions among various factors, after adjusting for the risk of genetic variation, age, gender, diabetes, hypertension and the living environment score. RESULTS: A total of 245,538 samples that entered the cohort from March, 2006 to October, 2010 were included and followed up until December 31, 2022. The participants were divided into the case group (n=1472) and the control group (n=244,066). The analysis results showed that after adjusting for covariates, there was still an association between the healthy lifestyle score, socioeconomic status, and the incidence of lung cancer: compared with participants with a high healthy lifestyle score, the risk of lung cancer in participants with medium and low healthy lifestyle scores was significantly increased, with hazard ratios (HR) of 2.12 (95%CI: 1.86-2.41) and 3.36 (95%CI: 2.82-3.99) respectively; compared with participants with high socioeconomic status, the risk of lung cancer in participants with medium and low socioeconomic status was significantly increased, with HR of 1.29 (95%CI: 1.13-1.48) and 1.67 (95%CI: 1.46-1.90) respectively. Moreover, there were interactions between smoking status and socioeconomic status (Pfor interaction=0.05), as well as the other four lifestyle factors (Pfor interaction=0.02). CONCLUSIONS This study identified the association between multidimensional lifestyle factors and socioeconomic status with the incidence of lung cancer, as well as interactions between smoking and socioeconomic status and four other lifestyle factors, providing a scientific basis for screening and prevention in high-risk populations for lung cancer.
Humans ; Lung Neoplasms/epidemiology* ; Male ; Female ; Middle Aged ; Incidence ; Life Style ; Social Class ; Aged ; Adult ; Risk Factors