Objective To explore the prevalence of depressive symptoms in postoperative patients with ovarian cancer and to analyze its influencing factors from multiple dimensions, including clinical characteristics, psychological factors, and laboratory indicators. Methods A cross-sectional study was conducted, which enrolled 235 postoperative patients with ovarian cancer. Depressive status was assessed using the patient health questionnaire, and the demographic, pathological, and medical record data of the patients were collected using the generalized anxiety disorder scale, Pittsburgh sleep quality index, European organization for research and treatment of cancer quality of life questionnaire core 30, and ECOG performance status score. Peripheral blood tumor marker (CA125), routine blood test, lymphocyte subsets, and serum cytokine levels were measured. Univariate and multivariate binary logistic regression analysis were used for statistical analysis. Results The prevalence of depression in postoperative patients with ovarian cancer was 39.15% (92/235). Univariate analysis showed that ECOG score ≥ 2 points, pain, anxiety, poor sleep quality, low quality of life, low life satisfaction, tumor recurrence, six or more cycles of chemotherapy, as well as higher levels of CA125, NLR, and NAR, and lower hemoglobin levels were significantly associated with depression (all P<0.05). Multivariate binary Logistic regression analysis showed that anxiety (OR=1.975, 95%CI: 1.231-3.170), sleep efficiency (OR=4.181, 95%CI: 1.211-14.43), sleep latency (OR=34.806, 95%CI: 4.258-284.542), ECOG performance status score, cognitive function (OR=0.918, 95%CI: 0.868-0.97), and life satisfaction were independent risk factors for depression (all P<0.05). Laboratory indicators were not independent influencing factors in the multivariate Logistic regression model. Conclusion Depression in postoperative patients with ovarian cancer is influenced by physiological, psychological, and social factors. Clinical management should focus on patients with anxiety, sleep disorders, poor physical condition, and low life satisfaction, and a comprehensive prevention and treatment strategy centered on psychological intervention and taking into account symptom management and social support should be implemented.

Objective On the basis of the theory of the tumor metastatic state, this work aims to explore the metastasis trajectories and peripheral immune response patterns in patients with non-small cell lung cancer (NSCLC) receiving vital qi-strengthening and toxin-eliminating therapy (Fuzheng Juandu) and reveal the value of peripheral immunity in assessing vital qi deficiency during metastasis. Methods A retrospective study design was adopted. Patients with NSCLC admitted from January 1, 2018, to October 31, 2025 were enrolled. Data on metastasis status and peripheral immune indices were collected at the follow-up time points of one, two, three, and five years. Group-based trajectory modeling was used to fit metastasis trajectories, and the independent predictors of trajectory grouping were analyzed through multifactor and multiclassification logistic regression. Results A total of 184 patients with NSCLC were included, and three different groups of metastasis trajectories were identified, namely, the low-risk stable (46.74%, n=86), low-risk rising (13.59%, n=25), and high-risk stable (39.67%, n=73) groups. Univariate analysis revealed substantial differences in peripheral immune indices among the three trajectory groups. Multivariate analysis showed that TNM stage, absolute neutrophil count, lymphocyte count, absolute monocyte count, platelet volume, SAA:CRP ratio, and NLR were independent predictors of the low-risk rising group, whereas TNM stage, absolute monocyte count, basophil count, SII, and NLR were independent predictors of the high-risk stable group. Conclusion Under Fuzheng Juandu therapy, patients with NSCLC exhibit three distinct metastasis trajectories, each corresponding to a specific peripheral immune response pattern. Elucidating these peripheral immune response patterns may facilitate the objective quantification of the degree of vital qi deficiency, prediction of future metastasis risk, and providing an important reference for the individualized clinical implementation of Fuzheng Juandu therapy.

Objective:To analyze the relationship between the expression level of calumenin(CALU)and the prognosis of hepatocellular carcinoma(HCC)patients by bioinformatics tools and establish the prognostic prediction nomogram,and to clarify its possible mechanism.Methods:The data of 374 HCC tissue samples were downloaded from The Cancer Genome Atlas(TCGA)database and the data of 160 normal tissue samples were down loaded from Genotype-Tissue Expression(GTEx)database.Paired sample t-test was used to analyze the difference in CALU expression between the HCC tissue samples and the paired adjacent normal tissue samples.Human Protein Atlas(HPA)database was used to verify the results.DESeq2 package was used to screen the differentially expressed genes(DEGs)between CALU low expression group and CALU high expression group in the HCC tissue samples.R package pROC was used to analyze the receiver operating characteristic(ROC)curve.Univariate and multivariate Cox regression analyses were used to confirm the prognosis value of CALU in the HCC patients with different clinicopathological characteristics,and ggplot2 package was used to construct the forest plot.R packages rms and survival were used to construct the nomogram and its calibration curve,and the diagnostic value of CALU in distinguishing HCC tissue from normal tissue was analyzed.The data from Kaplan-Meier Plotter database were used to further verify the relationship between CALU and the prognosis of HCC patients.The gene transcriptional expression data of 216 HCC samples obtained from GSE14520 dataset were used to verify the prediction accuracy of the nomogram.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses were used to determine the function and enrichment pathways of the DEGs,and Gene Set Enrichment Analysis(GSEA)was used to obtain the significantly enriched gene sets of the DEGs.Single-cell sequencing data of 10 HCC tissue samples and 8 adjacent normal tissue samples obtained from GSE149614 dataset were used to verify the relationship between CALU and the prognosis of HCC patients and its mechanism.Results:Compared with normal tissue,the expression level of CALU mRNA in HCC tissue was significantly increased(P＜0.001),and the expression level of CALU protein in HCC samples was also increased.A total of 928 DEGs were identified between CALU low expression group and CALU high expression group in the HCC samples,including 784 upregulated DEGs and 144 downregulated DEGs.The ROC analysis results indicated that CALU showed high diagnostic value in distinguishing cancer tissue from adjacent non-cancer tissue with an area under curve(AUC)of 0.839.Kaplan-Meier survival analysis showed that the survival rate of HCC patients in CALU high expression group was significantly lower than that in CALU group low expression(P＜0.001).Univariate and multivariate Cox regression analyses results demonstrated that high expression of CALU was an independent risk factor of the prognosis in HCC patients,and a prognosis prediction nomogram was constructed.The applicability of nomogram on the prognosis of HCC was verified by GSE14520 dataset.The GO enrichment analysis results showed that DEGs were mainly enriched in pathways related to the oxidative stress,ferroptosis and cuproptosis(P＜0.05).The KEGG enrichment analysis results showed that DEGs were mainly enriched in the pathways related to extracellular matrix(ECM)receptor interaction,linoleic acid metabolism and neuroactive ligand receptor interaction(P＜0.05).The GSEA results showed that high expression of CALU may promote the G1-S phase transition of the cell cycle,ubiquitination protein polymerization and HCC progression,while low expression of CALU may activate oxidative stress,ferroptosis and cuproptosis in HCC cells.Single-cell sequencing analysis results showed that the expression level of CALU mRNA was significantly increased in HCC cells with advanced tumor stages.HCC_CALU_High cell subset was mainly related to ubiquitination,p53 and cell cycle(P＜0.01),and HCC_CALU_Low cell subset was mainly related to oxidative stress,ferroptosis,and histone binding(P＜0.01).Conclusion:The high expression of CALU may be related to the poor prognosis of HCC patients.The constructed nomogram of HCC prognosis shows favourable effect in predicting the survival rate of the HCC patients.The up-regulation of CALU may promote HCC progression by regulating the G1-S phase of the cell cycle and ubiquitination of protein,while down-regulation of CALU may inhibit HCC progression by inducing oxidative stress,ferroptosis and cuproptosis in cells.

Objective:To design a novel model for experiments on in vitro irradiation with radioactive seeds using a treatment planning system (TPS) and 3D printing technology and to preliminarily validate the design scientific rigor of the model via experiments on isodose brachytherapy (BT) and external beam radiotherapy (EBRT) on glioma cells in mice. Methods:The TPS was employed to design the model′s shape and calculate the number and positions of radioactive seeds, and 3D printing technology was utilized to fabricate the experimental model. The GL261 cell line was selected for in vitro irradiation experiments, with the mice divided into the control, EBRT, and BT groups. Mice in the EBRT and BT groups were treated with EBRT and BT, respectively, at doses of 2, 4, and 6 Gy. Then, changes in their cell viability, proliferation, and the level of intracellular reactive oxygen species (ROS) were assessed. Results:The model for in vitro irradiation with radioactive seeds was successfully designed and fabricated. The single photon emission computed tomography (SPECT) verified a uniform radioactive distribution within the model, with no significant cold spots. The BT and EBRT groups displayed decreased cell viability with an increase in the radiation dose. Compared to the EBRT group, the BT group exhibited significantly reduced cell viability (51.33% vs. 22.00%, t = 10.94, P < 0.05) and clone counts (172.67 ± 13.11 vs. 53.67 ± 10.22, t = 8.73, P < 0.05), but a significantly increased level of ROS (102.52 ± 6.87 vs. 144.81 ± 6.01, t = -5.26, P < 0.05) at a dose of 6 Gy. Conclusions:An effective model of in vitro irradiation with radioactive seeds is designed based on TPS and 3D printing technology. This provides an experimental model tool and target for research on the BT and EBRT mechanisms.

Objective:To employ single-photon emission computed tomography (SPECT)/CT for isodose assignment in 125I brachytherapy, assess the correlation between photon counts and dose values, and develop a clinical γ-ray visualization model for 125I brachytherapy. Methods:125I radioactive seeds were filled into a self-made 3D printed stereotactic template to build a stereotactic model. The model was scanned by SPECT/CT for photon counts at 0.5, 1.0, 1.5, 2.0 cm from the outermost peripheral seeds, and the corresponding dose values were measured using the Treatment Planning System (TPS). The fitting curve for the photon counts and the dose values was plotted using SPSS 27.0 software. Results:The photon counts of γ rays at distances of 0.5, 1.0, 1.5, and 2.0 cm from the peripheral particles were 7 603.57±1 806.35, 4 018.26±1 315.72, 2 074.04±791.53, and 1 080.34±424.79, respectively, showing a significant difference ( F=743.72, P<0.01). The dose values (in Gy) in the TPS at distances of 0.5, 1.0, 1.5, and 2.0 cm from the peripheral particles were 208.05±37.57, 125.43±17.74, 86.76±17.67, and 61.55±14.39, respectively, which were significantly different ( F=930.46, P<0.01). The photon counts were linearly correlated with the dose values ( y=0.02 x+ 46.45, R2=81.2%, P<0.01). Conclusions:SPECT/CT-based γ-ray photon count detection can be used to assign doses for 125I brachytherapy, enabling the visualization of γ rays in 125I brachytherapy. This approach has a distinct advantage over TPS, laying the foundation for the establishment of an alternative system to TPS.

Objective:To design a novel model for experiments on in vitro irradiation with radioactive seeds using a treatment planning system (TPS) and 3D printing technology and to preliminarily validate the design scientific rigor of the model via experiments on isodose brachytherapy (BT) and external beam radiotherapy (EBRT) on glioma cells in mice. Methods:The TPS was employed to design the model′s shape and calculate the number and positions of radioactive seeds, and 3D printing technology was utilized to fabricate the experimental model. The GL261 cell line was selected for in vitro irradiation experiments, with the mice divided into the control, EBRT, and BT groups. Mice in the EBRT and BT groups were treated with EBRT and BT, respectively, at doses of 2, 4, and 6 Gy. Then, changes in their cell viability, proliferation, and the level of intracellular reactive oxygen species (ROS) were assessed. Results:The model for in vitro irradiation with radioactive seeds was successfully designed and fabricated. The single photon emission computed tomography (SPECT) verified a uniform radioactive distribution within the model, with no significant cold spots. The BT and EBRT groups displayed decreased cell viability with an increase in the radiation dose. Compared to the EBRT group, the BT group exhibited significantly reduced cell viability (51.33% vs. 22.00%, t = 10.94, P < 0.05) and clone counts (172.67 ± 13.11 vs. 53.67 ± 10.22, t = 8.73, P < 0.05), but a significantly increased level of ROS (102.52 ± 6.87 vs. 144.81 ± 6.01, t = -5.26, P < 0.05) at a dose of 6 Gy. Conclusions:An effective model of in vitro irradiation with radioactive seeds is designed based on TPS and 3D printing technology. This provides an experimental model tool and target for research on the BT and EBRT mechanisms.

Objective:To employ single-photon emission computed tomography (SPECT)/CT for isodose assignment in 125I brachytherapy, assess the correlation between photon counts and dose values, and develop a clinical γ-ray visualization model for 125I brachytherapy. Methods:125I radioactive seeds were filled into a self-made 3D printed stereotactic template to build a stereotactic model. The model was scanned by SPECT/CT for photon counts at 0.5, 1.0, 1.5, 2.0 cm from the outermost peripheral seeds, and the corresponding dose values were measured using the Treatment Planning System (TPS). The fitting curve for the photon counts and the dose values was plotted using SPSS 27.0 software. Results:The photon counts of γ rays at distances of 0.5, 1.0, 1.5, and 2.0 cm from the peripheral particles were 7 603.57±1 806.35, 4 018.26±1 315.72, 2 074.04±791.53, and 1 080.34±424.79, respectively, showing a significant difference ( F=743.72, P<0.01). The dose values (in Gy) in the TPS at distances of 0.5, 1.0, 1.5, and 2.0 cm from the peripheral particles were 208.05±37.57, 125.43±17.74, 86.76±17.67, and 61.55±14.39, respectively, which were significantly different ( F=930.46, P<0.01). The photon counts were linearly correlated with the dose values ( y=0.02 x+ 46.45, R2=81.2%, P<0.01). Conclusions:SPECT/CT-based γ-ray photon count detection can be used to assign doses for 125I brachytherapy, enabling the visualization of γ rays in 125I brachytherapy. This approach has a distinct advantage over TPS, laying the foundation for the establishment of an alternative system to TPS.

Objective:To investigate the association between peripheral immune function status and lung cancer metastasis,and to identify peripheral blood immune biomarkers for'Deficiency of Vital Qi'assessment in lung cancer metastasis.Methods:A retrospective analysis was conducted on peripheral blood immune markers collected before treatment from lung cancer patients admitted into Shanghai Municipal Hospital of Traditional Chinese Medicine,affiliated to Shanghai University of Traditional Chinese Medicine,between March 2023 and April 2025.Patients were categorized into the non-metastatic and the metastatic groups based on the presence of distant metastasis,and the differences in the expressions of immune cells and cytokines between groups were compared.Peripheral blood immune markers with P<0.05 in univariate analysis were incorporated into a multivariate binary logistic regression model to identify independent predictors of lung cancer metastasis.Results:A total of 193 lung cancer patients were included(101 in the non-metastatic group and 92 in the metastatic group).There were no statistically significant differences between the two groups in terms of gender,age,smoking history,drinking history,or pathological type(all P>0.05).Univariate analysis revealed significant differences in multiple immune markers between the non-metastatic and metastatic groups(all P<0.05),including:lymphocyte count,CD3+,CD4+,and CD8+T,CD19+B cells,absolute counts of CD3-CD16+CD56+NK cells,percentages of Treg cells,CD8+CD28+Treg cells,G-MDSC,and CD3-CD16+CD56+dim NK cells,and levels of cytokine IL-1β,IL-6,and IL-10.Binary logistic regression analysis of differential indicators suggested that the percentage of Treg cells and CD8+CD28+Treg cells in peripheral blood were independent predictors of distant metastasis in lung cancer(OR=1.193,95%CI[1.047,1.36],P<0.01;OR=0.978,95%CI[0.957,0.999],P<0.05).Conclusion:Peripheral blood immune dysfunction is the biological basis for'qi deficiency'in lung cancer metastasis.This study quantitatively demonstrates the correlation between peripheral immune function status and lung cancer metastasis,providing empirical evidence for the theories of'qi deficiency and hidden toxicity'and'metastatic state of tumors'.

Objective:To explore the value of nomogram based on dual-energy CT (DECT) enhanced imaging in predicting postoperative recurrence-free survival (RFS) of early-stage glottic carcinoma (EGC).Methods:The clinicopathological and DECT data of patients with EGC confirmed by pathology in the Tianjin First Central Hospital from January 2015 to July 2018 were analyzed retrospectively. A total of 178 patients were enrolled, including 162 males and 16 females, with the age from 44 to 86 (62±9) years old. According to the follow-up data, the patients were divided into recurrent group ( n=32) and non-recurrent group ( n=146). The differences of clinicopathological data and DECT iodine maps parameters between the two groups were analyzed using χ 2 test, independent-sample t test and Mann-Whitney U test. The survival related cut-off values of the quantitative data between the two groups were selected by X-tile software. The survival curve was drawn using Kaplan-Meier method, and the difference of survival rate was tested with log-rank analysis. The variables with statistical differences were included in the Cox proportional hazard model for multivariate analysis to select the independent predictors of postoperative RFS. Based on the multivariate Cox analysis, the nomogram was drawn to predict the RFS at 1, 2 and 5 years. The prediction efficiency and clinical benefit of the nomogram were evaluated by C-index, calibration curve and decision curve analysis. Results:The median follow-up time was 24.3 months, ranging from 2 to 63 months. There was a significant difference in T-stage between recurrent and non-recurrent groups (χ2=9.21, P=0.002). The prognostic cutoff values obtained by X-tile software were arterial phase standardized iodine concentration (SIC AP)=0.28 and venous phase standardized iodine concentration (SIC VP)=0.87. The results of log-rank test showed that there were significant differences in RFS among patients with different T-stage, SIC AP and SIC VP (χ2=10.74, 15.50, 17.97, P=0.001,<0.001,<0.001). T-stage, SIC AP and SIC VP were identified as independent predictors of postoperative RFS (hazard ratio=2.271, 3.552, 3.266, P=0.026,<0.001, 0.003). The C-index of the nomogram combined with DECT parameter and T-stage was 0.785, which was higher than that of T-stage alone (0.622). The calibration curve showed that there was good consistency between the actual and predicted probability of the sample. The decision curve analysis showed that the clinical benefit of the nomogram was higher than that of the T-stage alone. Conclusion:The nomogram based on preoperative clinical factors (T-stage) and DECT iodine map factors (SIC AP and SIC vp) can predict the postoperative RFS of patients with EGC.

Previous studies proposed that the synergistic effect of fibroblast growth factor-21 (FGF-21) and insulin may be due to the improvement of insulin sensitivity by FGF-21. However, there is no experimental evidence to support this. This study was designed to elucidate the mechanism of synergistic effect of FGF-21 and insulin in the regulation of glucose metabolism. The synergistic effect of FGF-21 and insulin on regulating glucose metabolism was demonstrated by investigating the glucose absorption rate by insulin resistance HepG2 cell model and the blood glucose chances in type 2 diabetic db/db mice after treatments with different concentrations of FGF-21 or/and insulin; The synergistic metabolism was revealed through detecting GLUT1 and GLUT4 transcription levels in the liver by real-time PCR method. The experimental results showed that FGF-21 and insulin have a synergistic effect on the regulation of glucose metabolism. The results of real-time PCR showed that the effective dose of FGF-21 could up-regulate the transcription level of GLUT1 in a dose-dependent manner, but had no effect on the transcription level of GLUT4. Insulin (4 u) alone could up-regulate the transcription level of GLUT4, yet had no effect on that of GLUT1. Ineffective dose 0.1 mg kg(-1) FGF-21 alone could not change the transcription level of GLUT1 or GLUT4. However, when the ineffective dose 0.1 mg x kg(-1) FGF-21 was used in combination with insulin (4 u) significantly increased the transcription levels of both GLUT1 and GLUT4, the transcription level of GLUT1 was similar to that treated with 5 time concentration of FGF-21 alone; the transcription level of GLUT4 is higher than that treated with insulin (4 u) alone. In summary, in the presence of FGF-21, insulin increases the sensitivity of FGF-21 through enhancing GLUT1 transcription. Vice versa, FGF-21 increases the sensitivity of insulin by stimulating GLUT4 transcription in the presence of insulin. FGF-21 and insulin exert a synergistic effect on glucose metabolism through mutual sensitization.