Definitive chemoradiotherapy (dCRT) has become a cornerstone in the treatment of locally advanced esophageal cancer; however, local control remains suboptimal, and persistent lesions or locoregional recurrences after treatment are not uncommon. For patients without distant metastases but with local failure, whether surgical intervention can still offer curative potential remains a major clinical dilemma. Salvage esophagectomy (SE) offers potential long-term survival for selected patients, but this procedure is performed in the context of severe fibrosis, impaired local blood supply, and obscured anatomical planes following chemoradiotherapy, resulting in significantly higher perioperative risk compared to primary esophagectomy. Consequently, controversies exist regarding patient selection, preoperative restaging, choice of surgical approach, extent of lymphadenectomy, gastrointestinal reconstruction, and perioperative management. In recent years, with the refinement of restaging modalities such as PET/CT, the accumulation of experience in high-volume centers, and emerging evidence from clinical studies, the clinical role of SE has gradually shifted from a "high-risk salvage measure" to a "selective curative strategy aimed at achieving long-term survival in carefully selected patients". Nevertheless, standardized guidelines for patient selection, technical approaches, and perioperative management are still lacking. Based on current evidence and clinical experience, experts organized by the Integrated Esophageal Cancer Committee of Chinese Anti-Cancer Association systematically reviewed key issues regarding SE, including its definition, indications, preoperative evaluation, choice of surgical approach, lymphadenectomy, gastrointestinal reconstruction, and perioperative management, and formulated a Chinese expert consensus. This consensus aims to provide guidance for standardized assessment, appropriate referral, individualized surgical decision-making, and optimized perioperative management of patients with locoregional failure after dCRT. Ultimately, this will increase the likelihood of R0 resection, reduce the risk of severe complications, and promote the safer, more judicious, and standardized implementation of SE in high-risk scenarios.

Objective:To develop and assess a deep learning-based model for automatic segmentation of organs at risk (OARs) in postoperative brachytherapy for endometrial carcinoma (EC).Methods:A retrospective study was conducted on the computed tomography (CT) images of 108 EC patients who received high-dose-rate (HDR) 192Ir intracavitary vaginal-cuff brachytherapy (VCB) at the Peking University Third Hospital from November 2021 to October 2022. Then, the rectum, colon, small intestine, and bladder in these images were manually segmented. These patients were randomly divided into two groups using a random number table: 90 cases for training the 3D no-new-U-Net (nnU-Net) segmentation model and 18 cases for model testing. The precision and clinical applicability of the automatic segmentation model were assessed using geometric indexes including Dice similarity coefficient (DSC), Hausdorff distance (HD), and mean surface distance (MSD), as well as dose-volume parameters (DVPs) including the minimum dose to 0.1, 1.0, and 2.0 cm 3 of OARs that received the highest irradiation doses ( D0.1 cm 3, D1.0 cm 3, and D2.0 cm 3). Results:The 3D nnU-Net model yielded mean DSC values of 0.90, 0.85, 0.88, and 0.95, respectively for the segmentations of the rectum, colon, small bowel, and bladder, all of which were better than those of the 3D U-Net and V-Net models. The differences among the three models were statistically significant ( F = 21.78, 24.33, 36.00, 20.11, P < 0.001). The 3D nnU-Net exhibited statistically significant differences in HD values for the colon, small intestine, and bladder segmentations among the three method ( F = 17.33, 24.11, 6.33, P < 0.05). The 3D nnU-Net model yielded lower MSD values for the segmentations of all organs compared to the control model, with statistically significant differences ( F = 29.78, 27.11, 27.11, 14.78, P < 0.001). No statistically significant difference was found in all DVPs between the 3D nnU-Net model-based and manual segmentations ( P > 0.05). Bland-Altman analysis demonstrated great consistency between the 3D nnU-Net and manual segmentations. Conclusions:The 3D nnU-Net-based model exhibits high geometric accuracy and dosimetric consistency with manual segmentation of OARs in brachytherapy, holding potential to improve clinical efficiency.

Objective:To develop and assess a deep learning-based model for automatic segmentation of organs at risk (OARs) in postoperative brachytherapy for endometrial carcinoma (EC).Methods:A retrospective study was conducted on the computed tomography (CT) images of 108 EC patients who received high-dose-rate (HDR) 192Ir intracavitary vaginal-cuff brachytherapy (VCB) at the Peking University Third Hospital from November 2021 to October 2022. Then, the rectum, colon, small intestine, and bladder in these images were manually segmented. These patients were randomly divided into two groups using a random number table: 90 cases for training the 3D no-new-U-Net (nnU-Net) segmentation model and 18 cases for model testing. The precision and clinical applicability of the automatic segmentation model were assessed using geometric indexes including Dice similarity coefficient (DSC), Hausdorff distance (HD), and mean surface distance (MSD), as well as dose-volume parameters (DVPs) including the minimum dose to 0.1, 1.0, and 2.0 cm 3 of OARs that received the highest irradiation doses ( D0.1 cm 3, D1.0 cm 3, and D2.0 cm 3). Results:The 3D nnU-Net model yielded mean DSC values of 0.90, 0.85, 0.88, and 0.95, respectively for the segmentations of the rectum, colon, small bowel, and bladder, all of which were better than those of the 3D U-Net and V-Net models. The differences among the three models were statistically significant ( F = 21.78, 24.33, 36.00, 20.11, P < 0.001). The 3D nnU-Net exhibited statistically significant differences in HD values for the colon, small intestine, and bladder segmentations among the three method ( F = 17.33, 24.11, 6.33, P < 0.05). The 3D nnU-Net model yielded lower MSD values for the segmentations of all organs compared to the control model, with statistically significant differences ( F = 29.78, 27.11, 27.11, 14.78, P < 0.001). No statistically significant difference was found in all DVPs between the 3D nnU-Net model-based and manual segmentations ( P > 0.05). Bland-Altman analysis demonstrated great consistency between the 3D nnU-Net and manual segmentations. Conclusions:The 3D nnU-Net-based model exhibits high geometric accuracy and dosimetric consistency with manual segmentation of OARs in brachytherapy, holding potential to improve clinical efficiency.

Objective To investigate the efficacy and safety of tenofovir alafenamide fumarate(TAF)in the treatment of patients with decompensated hepatitis B cirrhosis.Methods We retrospective analyzed 41 patients with decompensated hepatitis B cirrhosis receiving TAF antiviral therapy for 24 weeks at Wuwei Tumor Hospital in Gansu province from June 2022 to June 2023.Primary endpoint was proportion of patients achieving virologic response(HBV DNA<20 IU/mL).Other endpoints included changes in ALT,AST,TBIL,Child-Pugh score(CTP),and MELD score from baseline to week 24.In terms of safety,changes in Scr,eGFR and adverse events from baseline to week 24 were observed.Results Of 41 patients,73.2%were male(n = 30),with mean age of 53.49 years.24 weeks after treatment with TAF,HBV DNA was undetectable in 90.2%of the patients.The median levels of ALT,AST and total bilirubin(TBIL)were 50.70 U/L,48.70 U/L and 26.40 μmol/L respectively at base-line,and reduced significantly to 31.50 U/L,37.8 U/L and 23.8 μmol/L(P<0.05)respectively after 24-week therapy with TAF.CTP score was improved in 58.6%of the patients(n = 24),and so was MELD score in 63.4%of the patients(n = 26)at week 24.The median serum creatinine and eGFR were 58.5 μmol/L and 106.15 mL/(min·1.73 m2)respectively at baseline,and creatinine and eGFR were stable during treatment.No drug-related adverse events or severe adverse events occurred during treatment,neither did creatinine and eGFR liver transplan-tation,HCC or death.Conclusions Our clinical studies demonstrated better effectiveness and safety of TAF for decompensated CHB patients.

Background::Understanding the characteristics of newly diagnosed primary human deficiency virus-1 (HIV-1) infection in the context of the post-antiretroviral therapy era and HIV drug prophylaxis is essential for achieving the new target of 95-95-95-95 by 2025. This study reported the characteristics of newly diagnosed primary HIV-1 infection in Shenzhen.Methods::This is a real-world retrospective study. Eighty-seven newly diagnosed primary HIV-1-infected patients were recruited from January 2021 to March 2022 at the Third People’s Hospital of Shenzhen. Demographic, epidemiological, diagnostic, drug resistance, and medical data were described and analyzed.Results::Overall, 96.6% (84/87) of the newly identified primary HIV-1-infected patients were male, including 88.5% (77/87) men have sex with men (MSM), with a median age of 29.0 years (Q 1-Q 3: 24.0-34.0 years); of these, 85.1% (74/87) reported high-risk sexual behaviors with casual partners. The rate of condom usage was only 28.7% (25/87). The overall rate of pre-exposure prophylaxis (PrEP) and post-exposure prophylaxis (PEP) was 8.0% (7/87, including 4 PrEP and 3 PEP cases) around the potential exposure, although 41.4% of the patients had prior awareness of such interventions. Moreover, only 19.5% (17/87) had previously used PrEP or PEP. Of those, 58.8% (10/17) of the patients obtained drugs from the internet, and only 35.3% (6/17) reported good compliance. A total of 54.0% (47/87) of subjects were diagnosed by the HIV nucleic acid test. Acute retroviral syndrome appeared in 54.0% (47/87) of patients. The prevalence of transmitted drug resistance (TDR) mutation was 33.9% (19/56), including 6 (10.7%) against nucleoside reverse transcriptase inhibitor (NRTI) plus non-nucleoside reverse transcriptase inhibitor (NNRTI), 8 (14.3%) against NNRTI, and 5 (8.9%) against protease inhibitor (PI) only. Conclusions::Owing to the low utilization rate and incorrect usage of PrEP and PEP, massive efforts are needed to promote HIV-preventive strategies in the MSM population. The extremely high prevalence of TDR mutation in this population implies the need for future pretreatment drug resistance surveillance.

This study aimed to explore the link between block copolymers' interfacial properties and nanoscale carrier formation and found out the influence of length ratio on these characters to optimize drug delivery system. A library of diblock copolymers of PEG-PCL and triblock copolymers with additional PEI (PEG-PCL-PEI) were synthesized. Subsequently, a systematic isothermal investigation was performed to explore molecular arrangements of copolymers at air/water interface. Then, structural properties and drug encapsulation in self-assembly were investigated with DLS, SLS and TEM. We found the additional hydrogen bond in the PEG-PCL-PEI contributes to film stability upon the hydrophobic interaction compared with PEG-PCL. PEG-PCL-PEI assemble into smaller micelle-like (such as PEG-PCL4006-PEI) or particle-like structure (such as PEG-PCL8636-PEI) determined by their hydrophilic and hydrophobic block ratio. The distinct structural architectures of copolymer are consistent between interface and self-assembly. Despite the disparity of constituent ratio, we discovered the arrangement of both chains guarantees balanced hydrophilic-hydrophobic ratio in self-assembly to form stable construction. Meanwhile, the structural differences were found to have significant influence on model drugs incorporation including docetaxel and siRNA. Taken together, these findings indicate the correlation between molecular arrangement and self-assembly and inspire us to tune block compositions to achieve desired nanostructure and drug loading.

OBJECTIVETo investigate the expression status of CXCR7 in gastric cancer tissues and cell lines.

METHODSThe expression status of CXCR7 was detected in 35 primary gastric cancer tissues and matched adjacent tissues by immunohistochemistry and RT-PCR. The correlation of CXCR7 expression with the clinicopathological parameters and risk factors of gastric cancer was analyzed. The expression of CXCR7 in gastric cell lines (HGC-27, MGC-803, BGC-823, SGC-7901 and MKN-28) was also detected by immunofluorescence assay.

RESULTSThe expression of CXCR7 was significantly higher in gastric cancer tissues than in adjacent tissues (P<0.01). CXCR7 expression was not correlated with age, gender, smoking history, Helicobacter pylori infection, tumor location or the pathological type, but showed a higher expression level in patients with a alcohol-drinking history than in those without (P<0.05). CXCR7 was expressed with variable intensities in the 5 gastric cancer cell lines without correlation with the degrees of cell differentiation; its expression was the highest in SGC-7901 cells, a moderately differentiated human gastric adenocarcinoma cell line.

CONCLUSIONSCXCR7 is highly expressed in gastric cancer tissues with variable intensities in 5 gastric cancer cell lines, suggesting its important role in gastric cancer progression.

Cell Differentiation ; Cell Line, Tumor ; Disease Progression ; Helicobacter Infections ; Humans ; Immunohistochemistry ; Receptors, CXCR ; metabolism ; Signal Transduction ; Stomach Neoplasms ; diagnosis ; metabolism

OBJECTIVETo investigate the effect of high glucose on the expressions of toll-like receptor 4 (TLR4) and proinflammatory cytokine production induced by lipopolysaccharide (LPS) in hepatic stellate cells in vitro.

METHODSHepatic stellate cell line T6 was cultured in vitro and stimulated by high glucose. The mRNA and protein expression of TLR4 were detected by RT-PCR and Western blotting, respectively. After a 24-h pretreatment with high or low glucose, the cells were stimulated with LPS for 2 h, and Western blotting was used to detect the nuclear translocation of nuclear factor-κB (NF-κB); at 24 h of LPS exposure, the cells were examined for MCP-1 and IL-6 mRNA and protein expression levels with RT-PCR and ELISA, respectively.

RESULTSHigh glucose significantly increased the mRNA and protein expressions of TLR4 (P<0.01) in a time- and dose-dependent manner. High glucose promoted NF-κB nuclear translocation and significantly enhanced the expression and secretion of both MCP-1 and IL-6 (P<0.01). Pretreatment with high glucose significantly promoted LPS-induced NF-κB nuclear translocation (P<0.01) and the mRNA expression and secretion of MCP-1 and IL-6.

CONCLUSIONSHigh glucose can increase TLR4 mRNA and protein expressions in hepatic stellate cells and promote LPS-induced NF-κB activation and production of proinflammatory cytokines.

Animals ; Cells, Cultured ; Chemokine CCL2 ; metabolism ; Glucose ; metabolism ; Hepatic Stellate Cells ; metabolism ; Hyperglycemia ; metabolism ; Interleukin-6 ; metabolism ; Lipopolysaccharides ; adverse effects ; NF-kappa B ; metabolism ; RNA, Messenger ; genetics ; Rats ; Signal Transduction ; Toll-Like Receptor 4 ; metabolism

目的探讨实施社保医疗后肺部感染患者的治疗效果与费用。方法随机选择肺部感染的住院患者60例(社保组30例,非社保组30例),社保组根据社保文件精神对患者进行检查治疗,非社保组仍按以往治疗方案并结合患者意愿进行检查治疗,分析两组的疗效与费用。结果社保组的肺部感染住院患者总的直接医疗费用平均为(1540.73±991.43)元,非社保组为 (2232.02±844.98)元;总医疗费用社保组平均为(1716.65±1028.33)元,非社保组为(2653.89±966.39)元;住院天数社保组平均为(11.8±6.42)天,非社保组为(15.3±4.71)天 ,社保组总的医疗费用显著低于对照组(P<0.001),但疗效无显著性差异。结论实施社保医疗可在有效降低肺部感染患者总的医疗费用的同时,保证疗效,真正把有限的医疗资源用在需要的患者身上。