Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

[摘 要] 目的：探索外周免疫功能状态与肺癌转移的关联，筛选可用于肺癌转移“正虚”评估的外周血免疫标志物。方法：回顾性分析2023年3月至2025年4月期间上海中医药大学附属市中医医院收治的肺癌患者治疗前的外周血免疫标志物，根据是否存在远处转移，将患者分为无转移组与转移组，比较两组间免疫细胞和细胞因子的表达差异。将单因素分析P < 0.05的外周血免疫指标纳入多因素二元Logistic回归模型，以识别肺癌转移的独立预测因素。结果：共纳入193例肺癌患者（无转移组101例，转移组92例），两组在性别、年龄、吸烟史、饮酒史、病理类型间的差异均无统计学意义（均P > 0.05）。单因素分析显示，无转移组与转移组间有多项免疫指标存在显著差异（均P < 0.05），包括：淋巴细胞计数，CD3+、CD4+、CD8+ T、CD19+ B细胞及CD3-CD16+56+ NK细胞绝对计数，Treg细胞、CD8+CD28+ Treg细胞、G-MDSC和CD3-CD16+CD56+dim NK细胞百分率，以及细胞因子IL-1β、IL-6和IL-10水平。将差异性指标行二元Logistic回归分析，提示外周血中Treg细胞和CD8+CD28+ Treg细胞百分率是肺癌发生远处转移的独立预测因素[OR = 1.193, 95% CI（1.047, 1.36）, P < 0.01; OR = 0.978, 95% CI（0.957, 0.999）, P < 0.05]。结论：外周血免疫功能紊乱是肺癌转移“正虚”的生物学基础，本研究以量化指标证实外周免疫功能状态与肺癌转移的相关性，为“正虚伏毒”和“肿瘤转移态”理论提供了实证。

Objective:To investigate the role and mechanism of human umbilical cord mesenchymal stem cell exosomes (hUCMSC-ex) in wounds with escharectomy and skin grafting in scalded rats.Methods:The study was an experimental study. Twelve male Sprague-Dawley (SD) rats aged 6-8 weeks were divided into combined treatment group, fixed+allogeneic skin group, autologous skin+allogeneic skin group, and allogeneic skin group by random number table method (the same grouping method hereinafter), with 3 rats in each group. The four groups of rats were inflicted with scalded wounds on the back and performed with escharectomy, and then the wounds of rats in combined treatment group were fixed with a metal ring (the same fixing method hereinafter) and transplanted with autologous skin grafts and allogeneic skin grafts, and the other three groups of rats were fixed and/or transplanted with skin grafts corresponding to the group name. At 14, 21, and 28 d after surgery, the wound healing area in the four groups of rats was measured. Another 15 male SD rats aged 6-8 weeks were divided into normal group with no treatment, high exosome group, low exosome group, supernatant group, and phosphate buffer solution (PBS) group, with 3 rats in each group. The last 4 groups of rats were treated as that in the above-mentioned combined treatment group, and then were injected around the wounds with 200 μL of PBS containing 100 μg of hUCMSC-ex, 200 μL of PBS containing 50 μg of hUCMSC-ex, 200 μL of supernatant with no hUCMSC-ex, and 200 μL of PBS at 0 (immediately), 7, 14, and 21 d after surgery, respectively. At 14, 21, and 28 d after surgery, the wound healing area in the four groups of rats was measured. The wound neo-epithelial tissue of rats in high exosome group and PBS group at 28 d after surgery and the normal skin tissue of rats in normal group at the same time point were taken, and the differentially expressed proteins were screened by label-free quantitative proteomics method; the two up-regulated and differentially expressed proteins, the immunoglobulin G1 heavy chain constant region (IGHG1) and cystatin A (CSTA) with the largest and second largest fold changes in comparison between high exosome group and PBS group were selected, and their protein expressions were detected by Western blotting. The number of samples in all experiments was 3.Results:At 14, 21, and 28 d after surgery, the wound healing area in combined treatment group, autologous skin+allogeneic skin group, and allogeneic skin group of rats was significantly larger than that in fixed+allogeneic skin group ( P<0.05), the wound healing area in autologous skin+allogeneic skin group of rats at 21 d after surgery and that in allogeneic skin group of rats at 14 and 21 d after surgery was significantly larger than that in combined treatment group ( P<0.05), and the wound healing area in allogeneic skin group of rats at 14 d after surgery was significantly larger than that in autologous skin+allogeneic skin group ( P<0.05). The wound healing area of rats in high exosome group and low exosome group at 14, 21, and 28 d after surgery and in supernatant group at 14 and 28 d after surgery was significantly larger than that in PBS group ( P<0.05); the wound healing area in high exosome group of rats at 14 and 21 d after surgery was significantly larger than that in supernatant group ( P<0.05), and the wound healing area at 14 d after surgery was significantly larger than that in low exosome group ( P<0.05); the wound healing area in low exosome group of rats at 14 d after surgery was significantly larger than that in supernatant group ( P<0.05). Compared with that in PBS group, 332 proteins were differentially expressed in the neo-epithelial tissue of the wounds in high exosome group of rats at 28 d after surgery ( P<0.05), among which the protein expressions of IGHG1 and CSTA were significantly up-regulated (with fold change of 12.60 and 2.27, respectively, P<0.05). Compared with those of normal skin tissue in normal group, 1 400 and 1 057 proteins were differentially expressed in the neo-epithelial tissue of the wounds in high exosome group and PBS group of rats at 28 d after surgery, respectively. The protein expressions of IGHG1 and CSTA in the wound neo-epithelial tissue in high exosome group of rats at 28 d after surgery were significantly larger than those in normal skin tissue of rats in normal group ( P<0.05) and those in PBS group ( P<0.05). Conclusions:hUCMSC-ex may accelerate the repair process of wounds with escharectomy and skin grafting and improve the quality of wound healing in scalded rats by regulating the protein expressions of IGHG1 and CSTA.

Objective:To further investigate the safety and efficacy of Belimumab in the treatment of patients with systemic lupus erythematosus (SLE).Methods:All SLE patients treated with Belimumab from May 1, 2020 to February 1, 2022 in Peking Union Medical College Hospital were retrospectively collected and analyzed. The clinical manifestations, the Systemic Lupus Erythematosus Disease Activity Index 2000 (SLEDAI-2000) score, and laboratory test such as levels of anti-dsDNA antibody, the medication before and after Belimumab treatment, adverse events were collected. Normally distributed data were tested using the t-test, otherwise the Wilcoxon paired signed rank test was used. Results:A total of 81 patients were enrolled in this study. The use of belimumab could significantly decrease the SLEDAI-2000 score [10.00(7.75, 12.00) vs. 4.00(3.75, 6.00), Z=-5.38, P<0.001], ESR of SLE patients [19.50(12.75, 32.25) mm/1 h vs. 14.00(7.75, 20.25) mm/1 h, Z=-3.71, P=0.003], anti-dsDNA titer detected by CLIFT [300.00 (117.00, 864.00) vs. 183.00(100.00, 471.00), Z=-4.15, P=0.001], meanwhile, increase the complement C3 [0.78 (0.62, 0.97)g/L vs. 0.69 (0.55, 0.84)g/L, Z=-4.68, P<0.001], and the complement C4 [0.12 (0.08, 0.19)g/L vs. 0.10 (0.05, 0.14)g/L, Z=-4.78, P<0.001]. We also observed that with the use of Belimumab, the dosage of Glucocorticoids decreased significantly, which were [10.00(7.50, 22.50) mg vs. 7.50(5.00, 10.00) mg, Z=-4.90, P<0.001]. In addition, the antibody of IgG, IgA and IgM decreased significantly. Only one patient stopped the administration of Belimumab due to the low level of immunoglobulin. Conclusion:Belimumab can alleviate disease activity of patients with SLE and help in safely tapering the daily dose of glucocorticoid with good safety.

Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.

Based on the concepts of "people-oriented" in traditional Chinese medicine and "tumor-suppression" in modern medicine， we have combed the studies on the spatial and temporal evolution of tumor metastasis and its biological characteristics in different perspectives， and initially proposed the theory of tumor metastasis from the perspective of the dynamic game between the tumor cells and the body's immune system under the theory of the integration of Chinese and Western medicine， that is， the formation of metastasis is the result of the dynamic evolution of the cancer cells and their surrounding environmental factors in the body over time and space. It is believed that the symptomatic manifestation of metastasis is systematic， the triggering factors of metastasis are constant， and the clinical outcome of metastasis is staged. Accordingly， it is proposed to understand the mechanism of metastasis from the perspective of spatial and temporal dynamics， to establish a clinical and pathological model for identifying metastasis， and to reveal the critical point of metastasis， so as to facilitate the change of the research on tumor metastasis from static to dynamic， and provide ideas for the formulation of metastasis prevention and treatment strategies， and the construction of a new system of metastasis prevention and treatment in the clinical tumor field.