1.Impact factor selection for non-fatal occupational injuries among manufacturing workers by LASSO regression
Yingheng XIAO ; Chunhua LU ; Juan QIAN ; Ying CHEN ; Yishuo GU ; Zeyun YANG ; Daozheng DING ; Liping LI ; Xiaojun ZHU
Journal of Environmental and Occupational Medicine 2025;42(2):133-139
Background As a pillar industry in China, the manufacturing sector has a high incidence of non-fatal occupational injuries. The factors influencing non-fatal occupational injuries in this industry are closely related at various levels, including individual, equipment, environment, and management, making the analysis of these influencing factors complex. Objective To identify influencing factors of non-fatal occupational injuries among manufacturing workers, providing a basis for targeted interventions and surveillance. Methods A total of
2.Diagnosis and differential diagnosis of small hepatocellular carcinoma in the context of cirrhosis
Li CHEN ; Shengwei LU ; Tiandan XIANG ; Yixing YU ; Weifeng ZHAO
Chinese Journal of Hepatology 2025;33(4):323-328
In China, most patients with hepatocellular carcinoma (HCC) have progressed to the middle and advanced stages when they are diagnosed, so early-stage diagnosis is a significant key to improving the prognosis. Tumor diameter significantly correlates with the prognosis of patients with small hepatocellular carcinoma (sHCC), which is further classified as early-stage HCC (eHCC) and advanced HCC (pHCC). The "fast in and fast out" enhancement pattern is a typical feature of liver cancer imaging (CECT/CEMRI/CEUS); yet, eHCC with a diameter of <2 cm frequently exhibits hypovascularity. Hepatocyte-specific enhanced MRI (EOB-MRI) displays a unique hepatobiliary-specific phase (HBP) hypointensity, along with atypical manifestations such as lipid-containing nodules, T2 hyperintensity, and restricted diffusion. HBP is a functional radiographic imaging feature for cancerous nodules in cirrhosis. EOB-MRI can significantly increase the hypovascularity detection rate of eHCC in conjunction with serologic markers like alpha-fetoprotein. With a focus on the dynamic changes in hypovascular hypointense nodules in HBP (including diameter size, APHE, DWI, and other parameters), it is recommended that high-risk cirrhotic cohorts undergo routine monitoring (EOB-MRI follow-up every three months) to diagnose early-stage eHCC, based on the existing evidence-based medicine. This recommendation in clinical practice guidelines provides a crucial strategy that can markedly enhance patients' five-year survival rates.
3.Aloin blocks the malignant behavior of lung squamous cell carcinoma cells and M2 macrophage polarization by modulating the NR3C2/MT1M axis.
Ying-Na CHEN ; Jie-Ya LU ; Cheng-Feng GAO ; Zhi-Ruo FANG ; Yan ZHOU
Journal of Integrative Medicine 2025;23(2):195-208
OBJECTIVE:
Aloin, the main active component in Aloe vera (L.) Burm. f., has shown promising anti-tumor effects. This study investigated the impact of aloin in lung squamous cell carcinoma (LUSC) and explored its functional mechanism.
METHODS:
We analyzed the viability, migration, invasion, proliferation, and apoptosis of two LUSC cell lines after treatment with aloin. Target molecules of aloin and downstream target transcripts of nuclear receptor subfamily 3 group C member 2 (NR3C2) were predicted by bioinformatics. The biological functions of NR3C2 and metallothionein 1 M (MT1M) in the malignant properties of LUSC cells were determined. A co-culture system of LUSC cells with monocyte-derived macrophages was constructed. Mouse xenograft tumor models were generated to analyze the functions of aloin and NR3C2 in the tumorigenic activity of LUSC cells and macrophage polarization in vivo.
RESULTS:
Aloin suppressed malignant properties of LUSC cells in vitro. However, these effects were negated by the silencing of NR3C2. NR3C2 was found to activate MT1M transcription by binding to its promoter. Additional upregulation of MT1M suppressed the malignant behavior of LUSC cells augmented by NR3C2 silencing. Analysis of the M1 and M2 markers/cytokines in the macrophages or the culture supernatant revealed that aloin treatment or MT1M overexpression in LUSC cells enhanced M1 polarization while suppressing M2 polarization of macrophages, whereas NR3C2 silencing led to reverse trends. Consistent findings were reproduced in vivo.
CONCLUSION
This study demonstrated that aloin activates the NR3C2/MT1M axis to suppress the malignant behavior of LUSC cells and M2 macrophage polarization. Please cite this article as: Chen YN, Lu JY, Gao CF, Fang ZR, Zhou Y. Aloin blocks the malignant behavior of lung squamous cell carcinoma cells and M2 macrophage polarization by modulating the NR3C2/MT1M axis. J Integr Med. 2025; 23(2): 195-208.
Lung Neoplasms/metabolism*
;
Humans
;
Animals
;
Cell Line, Tumor
;
Carcinoma, Squamous Cell/metabolism*
;
Mice
;
Macrophages/drug effects*
;
Emodin/analogs & derivatives*
;
Metallothionein/genetics*
;
Cell Proliferation/drug effects*
;
Cell Movement/drug effects*
;
Apoptosis/drug effects*
;
Receptors, Glucocorticoid/genetics*
4.Construction of a realistic tumor cell surface model and dose estimation under irradiation conditions
Yunan GAO ; Yuan ZHUANG ; Jiayu WU ; Jiayue LIU ; Yixing CHEN
Chinese Journal of Radiation Oncology 2025;34(10):1014-1019
Objective:To construct a realistic surface model of human glioma T98G cells, aiming to enhance the accuracy of dose assessment at the cellular level in radiotherapy.Methods:Three-dimensional tomographic images of T98G cells were acquired using a laser confocal microscope. Subsequently, after cropping via MATLAB software and conversion to the DICOM format, the Amira and Meshmixer softwares were employed to repair and reconstruct the authentic curved - surface models of the cell nucleus and cytoplasm. The GATE Monte Carlo simulation platform was utilized to construct the 160 kV X ray energy spectrum of the RS - 2000 Pro irradiator. In a vacuum environment, the energy deposition processes of single cells and cell populations were simulated, and the dose distributions of the cell nucleus and cytoplasm were computed.Results:In the single cell simulation, the absorbed dose of the cell nucleus was 0.07 Gy, and 0.23 Gy for the cytoplasm. Under the same irradiation duration, the dose of the cell nucleus accounted for approximately 70% of the external irradiation dose. The calculated standard deviations of absorbed dose were 3.03×10?? and 5.73×10?? Gy, respectively, indicating a notable randomness in dose deposition. Since 2 Gy is a widely-adopted dose in radiotherapy fractionation regimens, cell populations were irradiated with 2 Gy. The findings revealed that the internal dose distribution of cell populations exhibited a non-Gaussian distribution, demonstrating the randomness of dose deposition. Specifically, the dose of the cell nucleus was concentrated in the range of 0.6-1.8 Gy, and the dose of the cytoplasm was concentrated in the range of 0.9-2.7 Gy.Conclusions:A curved- surface model of human glioma cells is successfully constructed, which can lay a foundation for improving the accuracy of microscopic dosimetry simulation.
5.Effect of position angle on gastric insufflation during induction of general anesthesia in pediatric patients undergoing day surgery
Niqiao CHEN ; Xiaoqiang SUN ; Xiaoling NONG ; Zhijie LIANG ; Jiamei LIANG ; Yixing LU ; Shunzhong JING ; Anyuan LIU ; Yunan LIN
Chongqing Medicine 2025;54(10):2246-2251
Objective To investigate the effect of body position angle on gastric insufflation during the induction of general anesthesia in pediatric patients undergoing day surgery.Methods A total of 111 children scheduled for elective tracheal intubation under general anesthesia at the First Affiliated Hospital of Guangxi Medical University from December 2022 to March 2023 were selected as study subjects.Six children were ex-cluded due to unclear sonographic visualization of the gastric antrum,resulting in 105 children ultimately in-cluded in the study.The children were divided into three groups using a random number table method:Group D0(supine position),Group D5(5° head-up position),and Group D10(10° head-up position),with 35 children in each group.The presence of a"comet-tail artifact"on ultrasound was used as the criterion for determining gastric insufflation during anesthesia induction.The gastric antrum cross-sectional area(CSA)of the gastric antrum was measured before mask ventilation after loss of consciousness(T1)and immediately after tracheal intubation following mask ventilation(T2).The incidence of gastric insufflation,changes in CSA and their differences,and vital sign changes at T1 and T2,were compared among the three groups.Results Compared with Group D0,the incidence of gastric insufflation was significantly lower in Groups D5 and D10[25.7%(9/35)vs.20.0%(7/35)vs.54.0%(19/35)],and the difference was statistically significant(P<0.05).Howev-er,there was no significant difference between Group D5 and Group D10(P>0.05).No significant difference was observed in CSA at T1 among the three groups(P>0.05).At T2,a statistically significant difference in CSA was found among the three groups(P<0.05),with Group D10 showing a smaller CSA than Group D0(P<0.05).The difference in CSA changes was statistically significant among the three groups(P<0.05),with Groups D5 and D10 exhibiting smaller changes than Group D0,and Group D10 showing a smaller change than Group D5(P<0.05).No significant differences were observed in mean artery pressure(MAP),heart rate,pulse oxygen saturation(SpO2)and pressure of end-tidal carbon dioxide(PETCO2)at T1 and T2 among the three groups(P>0.05).A total of 6 children(5.7%)required brief adjustments in jaw support due to irregular PETCO2 waveforms or abnormal peak airway pressure.Conclusion In pediatric patients undergoing day sur-gery under general anesthesia,a 5° head-up position during induction significantly reduces the incidence of gas-tric insufflation and minimizes changes in gastric antral CSA,while a 10° head-up position does not provide ad-ditional benefits.
6.The value of Gd-EOB-DTPA-enhanced MRI habitat radiomic features in predicting CK19 expression and prognosis of hepatocellular carcinoma
Weihao CHEN ; Yixing YU ; Wenhao GU ; Tao ZHANG ; Jiyun ZHANG ; Cen SHI ; Yanfen FAN ; Qian WU ; Ximing WANG ; Chunhong HU
Chinese Journal of Radiology 2025;59(11):1275-1285
Objective:To investigate the value of habitat radiomic features based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced MRI in establishing a predictive model for cytokeratin 19 (CK19) expression in hepatocellular carcinoma (HCC) and to evaluate its role in prognostic risk stratification.Methods:This multicenter case-control study retrospectively enrolled 489 patients with pathologically confirmed HCC who underwent Gd-EOB-DTPA-enhanced MRI between June 2016 and June 2024. Among them, 346 patients from the First Affiliated Hospital of Soochow University were divided into a training cohort ( n=245) and an internal test cohort ( n=101) via stratified sampling at a 7∶3 ratio. And 143 patients from Nantong Third Hospital Affiliated to Nantong University served as an external validation cohort. The training cohort included 53 CK19-positive and 192 CK19-negative patients. The internal test cohort included 21 CK19-positive and 80 CK19-negative patients. The external validation cohort included 30 CK19-positive and 113 CK19-negative patients. Univariate logistic regression analysis was performed to identify potential factors associated with CK19 expression, and a clinical-radiologic model was constructed. The k-means clustering algorithm was applied to segment target HCC lesions into 3 subregions. Radiomic features were extracted and selected from these habitat subregions. Habitat radiomics models were constructed for the arterial phase (AP), portal venous phase, hepatobiliary phase (HBP), and combined phases (CP). Multivariate logistic regression analysis identified independent clinical and radiologic predictors of CK19 expression, and the optimal habitat model score was integrated to build a clinical-radiologic-habitat combined model. The area under the receiver operating characteristic curve (AUC) was used to evaluate model predictive performance. Recurrence-free survival (RFS) was analyzed using the Kaplan-Meier method and the differences in survival curves were compared with the log-rank test. Results:Univariate logistic regression analysis revealed that alpha-fetoprotein (AFP) ( OR=2.629, 95% CI 1.412-4.896, P=0.002), AP enhancement ( OR=3.636, 95% CI 1.642-8.052, P=0.001), AP peritumoral enhancement ( OR=2.219, 95% CI 1.084-4.542, P=0.029), and HBP peritumoral hypointensity ( OR=2.010, 95% CI 1.004-4.021, P=0.049) were potential factors associated with CK19 expression, which were incorporated into the clinical-radiologic model. In the internal and external validation cohorts, the AUC of the clinical-radiologic model was 0.690 (95% CI 0.590-0.778) and 0.650 (95% CI 0.565-0.727), respectively. The habitat radiomics model based on CP images demonstrated the highest performance. It achieved AUC of 0.729 (95% CI 0.622-0.836) and 0.725 (95% CI 0.607-0.842) in the internal and external validation cohorts, respectively. Multivariate analysis identified AFP ( OR=2.494, 95% CI 1.163-5.348, P=0.019), AP enhancement ( OR=5.230, 95% CI 1.868-14.643, P=0.002) and habitat radiomics model score ( OR=4.105, 95% CI 2.643-6.368, P<0.001) as independent predictors of CK19 positivity. Based on these factors, a combined clinical-radiologic-habitat combined model was established. The clinical-radiologic-habitat combined model achieved AUCs of 0.767 (95% CI 0.671-0.846) and 0.730 (95% CI 0.649-0.801) in the internal and external validation cohorts, respectively. Significant differences in RFS were observed between the CK19-positive group (25.1 month) and CK19-negative group (51.0 month) as predicted by the clinical-radiologic-habitat model ( χ2=4.17, P=0.041). Conclusion:The clinical-radiologic-habitat combined model based on Gd-EOB-DTPA-enhanced MRI habitat radiomics demonstrates good predictive performance for CK19 expression in HCC and offers valuable prognostic stratification for clinical practice.
7.The value of Gd-EOB-DTPA-enhanced MRI habitat radiomic features in predicting CK19 expression and prognosis of hepatocellular carcinoma
Weihao CHEN ; Yixing YU ; Wenhao GU ; Tao ZHANG ; Jiyun ZHANG ; Cen SHI ; Yanfen FAN ; Qian WU ; Ximing WANG ; Chunhong HU
Chinese Journal of Radiology 2025;59(11):1275-1285
Objective:To investigate the value of habitat radiomic features based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced MRI in establishing a predictive model for cytokeratin 19 (CK19) expression in hepatocellular carcinoma (HCC) and to evaluate its role in prognostic risk stratification.Methods:This multicenter case-control study retrospectively enrolled 489 patients with pathologically confirmed HCC who underwent Gd-EOB-DTPA-enhanced MRI between June 2016 and June 2024. Among them, 346 patients from the First Affiliated Hospital of Soochow University were divided into a training cohort ( n=245) and an internal test cohort ( n=101) via stratified sampling at a 7∶3 ratio. And 143 patients from Nantong Third Hospital Affiliated to Nantong University served as an external validation cohort. The training cohort included 53 CK19-positive and 192 CK19-negative patients. The internal test cohort included 21 CK19-positive and 80 CK19-negative patients. The external validation cohort included 30 CK19-positive and 113 CK19-negative patients. Univariate logistic regression analysis was performed to identify potential factors associated with CK19 expression, and a clinical-radiologic model was constructed. The k-means clustering algorithm was applied to segment target HCC lesions into 3 subregions. Radiomic features were extracted and selected from these habitat subregions. Habitat radiomics models were constructed for the arterial phase (AP), portal venous phase, hepatobiliary phase (HBP), and combined phases (CP). Multivariate logistic regression analysis identified independent clinical and radiologic predictors of CK19 expression, and the optimal habitat model score was integrated to build a clinical-radiologic-habitat combined model. The area under the receiver operating characteristic curve (AUC) was used to evaluate model predictive performance. Recurrence-free survival (RFS) was analyzed using the Kaplan-Meier method and the differences in survival curves were compared with the log-rank test. Results:Univariate logistic regression analysis revealed that alpha-fetoprotein (AFP) ( OR=2.629, 95% CI 1.412-4.896, P=0.002), AP enhancement ( OR=3.636, 95% CI 1.642-8.052, P=0.001), AP peritumoral enhancement ( OR=2.219, 95% CI 1.084-4.542, P=0.029), and HBP peritumoral hypointensity ( OR=2.010, 95% CI 1.004-4.021, P=0.049) were potential factors associated with CK19 expression, which were incorporated into the clinical-radiologic model. In the internal and external validation cohorts, the AUC of the clinical-radiologic model was 0.690 (95% CI 0.590-0.778) and 0.650 (95% CI 0.565-0.727), respectively. The habitat radiomics model based on CP images demonstrated the highest performance. It achieved AUC of 0.729 (95% CI 0.622-0.836) and 0.725 (95% CI 0.607-0.842) in the internal and external validation cohorts, respectively. Multivariate analysis identified AFP ( OR=2.494, 95% CI 1.163-5.348, P=0.019), AP enhancement ( OR=5.230, 95% CI 1.868-14.643, P=0.002) and habitat radiomics model score ( OR=4.105, 95% CI 2.643-6.368, P<0.001) as independent predictors of CK19 positivity. Based on these factors, a combined clinical-radiologic-habitat combined model was established. The clinical-radiologic-habitat combined model achieved AUCs of 0.767 (95% CI 0.671-0.846) and 0.730 (95% CI 0.649-0.801) in the internal and external validation cohorts, respectively. Significant differences in RFS were observed between the CK19-positive group (25.1 month) and CK19-negative group (51.0 month) as predicted by the clinical-radiologic-habitat model ( χ2=4.17, P=0.041). Conclusion:The clinical-radiologic-habitat combined model based on Gd-EOB-DTPA-enhanced MRI habitat radiomics demonstrates good predictive performance for CK19 expression in HCC and offers valuable prognostic stratification for clinical practice.
8.Diagnosis and differential diagnosis of small hepatocellular carcinoma in the context of cirrhosis
Li CHEN ; Shengwei LU ; Tiandan XIANG ; Yixing YU ; Weifeng ZHAO
Chinese Journal of Hepatology 2025;33(4):323-328
In China, most patients with hepatocellular carcinoma (HCC) have progressed to the middle and advanced stages when they are diagnosed, so early-stage diagnosis is a significant key to improving the prognosis. Tumor diameter significantly correlates with the prognosis of patients with small hepatocellular carcinoma (sHCC), which is further classified as early-stage HCC (eHCC) and advanced HCC (pHCC). The "fast in and fast out" enhancement pattern is a typical feature of liver cancer imaging (CECT/CEMRI/CEUS); yet, eHCC with a diameter of <2 cm frequently exhibits hypovascularity. Hepatocyte-specific enhanced MRI (EOB-MRI) displays a unique hepatobiliary-specific phase (HBP) hypointensity, along with atypical manifestations such as lipid-containing nodules, T2 hyperintensity, and restricted diffusion. HBP is a functional radiographic imaging feature for cancerous nodules in cirrhosis. EOB-MRI can significantly increase the hypovascularity detection rate of eHCC in conjunction with serologic markers like alpha-fetoprotein. With a focus on the dynamic changes in hypovascular hypointense nodules in HBP (including diameter size, APHE, DWI, and other parameters), it is recommended that high-risk cirrhotic cohorts undergo routine monitoring (EOB-MRI follow-up every three months) to diagnose early-stage eHCC, based on the existing evidence-based medicine. This recommendation in clinical practice guidelines provides a crucial strategy that can markedly enhance patients' five-year survival rates.
9.Construction of a realistic tumor cell surface model and dose estimation under irradiation conditions
Yunan GAO ; Yuan ZHUANG ; Jiayu WU ; Jiayue LIU ; Yixing CHEN
Chinese Journal of Radiation Oncology 2025;34(10):1014-1019
Objective:To construct a realistic surface model of human glioma T98G cells, aiming to enhance the accuracy of dose assessment at the cellular level in radiotherapy.Methods:Three-dimensional tomographic images of T98G cells were acquired using a laser confocal microscope. Subsequently, after cropping via MATLAB software and conversion to the DICOM format, the Amira and Meshmixer softwares were employed to repair and reconstruct the authentic curved - surface models of the cell nucleus and cytoplasm. The GATE Monte Carlo simulation platform was utilized to construct the 160 kV X ray energy spectrum of the RS - 2000 Pro irradiator. In a vacuum environment, the energy deposition processes of single cells and cell populations were simulated, and the dose distributions of the cell nucleus and cytoplasm were computed.Results:In the single cell simulation, the absorbed dose of the cell nucleus was 0.07 Gy, and 0.23 Gy for the cytoplasm. Under the same irradiation duration, the dose of the cell nucleus accounted for approximately 70% of the external irradiation dose. The calculated standard deviations of absorbed dose were 3.03×10?? and 5.73×10?? Gy, respectively, indicating a notable randomness in dose deposition. Since 2 Gy is a widely-adopted dose in radiotherapy fractionation regimens, cell populations were irradiated with 2 Gy. The findings revealed that the internal dose distribution of cell populations exhibited a non-Gaussian distribution, demonstrating the randomness of dose deposition. Specifically, the dose of the cell nucleus was concentrated in the range of 0.6-1.8 Gy, and the dose of the cytoplasm was concentrated in the range of 0.9-2.7 Gy.Conclusions:A curved- surface model of human glioma cells is successfully constructed, which can lay a foundation for improving the accuracy of microscopic dosimetry simulation.
10.Radiotherapy enhances efficacy of PD-1 inhibitors in advanced hepatocellular carcinoma: A propensity-matched real-world study
Shujung HSU ; Yencheng CHAO ; Yong HU ; Yang ZHANG ; Weifeng HONG ; Yixing CHEN ; Rongxin CHEN ; Zhaochong ZENG ; Shisuo DU
Chinese Medical Journal 2024;137(11):1332-1342
Background::To address the need for immunotherapy in patients with advanced primary hepatocellular carcinoma (HCC), combination with radiotherapy (RT) has emerged as a promising strategy. In preclinical studies, irradiated tumors released tumor antigens to synergistically increase the antitumor effect of immunotherapy. Hence, we investigated whether RT enhances the efficacy of anti-programmed death receptor-1 (PD-1) inhibitors in advanced HCC in real-world practice.Methods::Between August 2018 and June 2021, 172 patients with advanced primary HCC were enrolled in the tertiary center (Zhongshan Hospital of Fudan University); 95 were treated with a combination of RT and the inhibitor of PD-1 (RT-PD1 cohort), and 77 were administered anti-PD-1 therapy (PD1 cohort). The first cycle of PD-1 inhibitors was administered within 60 days or concurrently with RT. Propensity score matching for bias reduction was used to evaluate the clinical outcomes.Results::Among 71 propensity-matched pairs, median progression-free survival was 5.7 months in the RT-PD1 cohort vs. 2.9 months in the PD1 cohort ( P <0.001). Median overall survival was 20.9 months in the RT-PD1 cohort vs. 11.2 months in the PD1 cohort ( P = 0.018). Compared with patients in the PD1 cohort, patients in the RT-PD1 cohort had significantly higher objective response rates (40.8%, 29/71 vs. 19.7%, 14/71, P = 0.006) and disease control rates (62.0%, 44/71 vs. 31.0%, 22/71, P <0.001). The incidences of toxic effects were not significantly different between the two cohorts. Conclusions::RT plus anti-PD-1 therapy is well tolerated. RT enhances the efficacy of anti-PD-1 therapy in patients with advanced primary HCC by improving survival outcomes without increased toxic effects.

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