Esophageal cancer is a prevalent malignant tumor of the digestive tract in China, and radical surgery remains the cornerstone of its comprehensive treatment. However, multifactorial challenges such as postoperative gastrointestinal tract reconstruction, traumatic stress, and tumor-related metabolic disturbances render esophageal cancer patients highly susceptible to malnutrition. Perioperative nutritional support therapy plays a crucial role in enhancing surgical safety, improving clinical outcomes, and elevating patients' quality of life by regulating metabolic homeostasis, preserving organ function, and optimizing the immune microenvironment. This article reviews the mechanisms underlying malnutrition in esophageal cancer, methods for nutritional status assessment, and precision intervention pathways based on multi-omics evaluations. The aim is to strengthen clinicians' awareness of standardized perioperative nutritional management for esophageal cancer patients and promote its clinical implementation, thereby facilitating postoperative recovery and improving long-term quality of life.

Cancer remains a leading cause of global mortality, necessitating the development of advanced therapeutic strategies with enhanced efficacy and reduced systemic toxicity. Among promising bioactive agents, lactoferrin (LF)—a multifunctional iron-binding glycoprotein abundantly found in mammalian milk and exocrine secretions—has garnered significant interest for its potent and multifaceted anti-cancer properties. This review provides a comprehensive analysis of the current understanding of LF’s role in oncology, encompassing its structural biology, diverse mechanisms of action, and groundbreaking advancements in its application through nano-engineering. LF exerts anti-tumor effects through multiple pathways, including extracellular action, intracellular action, and immune regulation. It demonstrates a remarkable affinity for cancer cell membranes, binding to overexpressed anionic components such as glycosaminoglycans and sialic acids, as well as to specific receptors including the low-density lipoprotein receptor-related protein-1 (LRP-1). This selective binding facilitates targeted uptake. Upon internalization, LF orchestrates a direct assault by inducing cell-cycle arrest in phases such as G0/G1 or S phase through the modulation of key regulators including cyclins, CDKs, and p53. Furthermore, it promotes programmed cell death via apoptotic pathways, involving caspase activation and downregulation of anti-apoptotic proteins such as survivin. A more recently elucidated mechanism is the induction of ferroptosis, an iron-dependent form of cell death characterized by overwhelming lipid peroxidation. Beyond direct cytotoxicity, LF acts as a potent immunomodulator. It enhances natural killer (NK) cell activity, modulates T-lymphocyte populations, and crucially reprograms tumor-associated macrophages (TAMs) from a pro-tumor M2 state to an anti-tumor M1 state, thereby reversing the immunosuppressive tumor microenvironment (TME). The translation of LF’s potential has been significantly accelerated by nanotechnology. The inherent biocompatibility and natural tumor-targeting capabilities of LF make it an ideal platform for sophisticated drug-delivery systems. This review details various fabrication strategies for LF-based nanoparticles (NPs), including self-assembly, sol-in-oil emulsion, and electrostatic nanocomplexes, among others. Research demonstrates that nano-formulations not only protect LF from degradation but also enhance its bioactivity and anti-cancer potency. More importantly, LF NPs serve as versatile carriers for a wide array of therapeutic agents, including conventional chemotherapeutics, natural compounds, and imaging agents. These engineered systems enable synergistic therapy and facilitate site-specific delivery. Notably, the ability of LF to bind to receptors on the blood-brain barrier (BBB) has been leveraged to develop nano-systems for glioblastoma treatment. Other innovative designs utilize LF to modulate the TME—for instance, by alleviating tumor hypoxia to sensitize cells to radiotherapy and chemotherapy. Despite compelling pre-clinical evidence, the clinical translation of LF and its nano-formulations remains nascent. While early-phase trials have established a favorable safety profile for recombinant human LF, larger Phase III studies have yielded mixed results, underscoring the complexity of its action in humans. Key challenges include enhancing drug targeting, optimizing loading efficiency, ensuring batch-to-batch reproducibility, and achieving deep tumor penetration. Future research must focus on the rational design of next-generation LF-NPs. This entails developing standardized manufacturing protocols, engineering “smart” stimuli-responsive systems for targeted drug release in the TME, and constructing multi-targeting platforms. A concerted interdisciplinary effort is paramount to bridge the gap between bench and bedside. In conclusion, LF, particularly in its nano-engineered forms, represents a highly promising and versatile agent in the oncological arsenal, holding immense potential for precise and effective cancer therapy.

Cancer remains a leading cause of global mortality, necessitating the development of advanced therapeutic strategies with enhanced efficacy and reduced systemic toxicity. Among promising bioactive agents, lactoferrin (LF)—a multifunctional iron-binding glycoprotein abundantly found in mammalian milk and exocrine secretions—has garnered significant interest for its potent and multifaceted anti-cancer properties. This review provides a comprehensive analysis of the current understanding of LF’s role in oncology, encompassing its structural biology, diverse mechanisms of action, and groundbreaking advancements in its application through nano-engineering. LF exerts anti-tumor effects through multiple pathways, including extracellular action, intracellular action, and immune regulation. It demonstrates a remarkable affinity for cancer cell membranes, binding to overexpressed anionic components such as glycosaminoglycans and sialic acids, as well as to specific receptors including the low-density lipoprotein receptor-related protein-1 (LRP-1). This selective binding facilitates targeted uptake. Upon internalization, LF orchestrates a direct assault by inducing cell-cycle arrest in phases such as G0/G1 or S phase through the modulation of key regulators including cyclins, CDKs, and p53. Furthermore, it promotes programmed cell death via apoptotic pathways, involving caspase activation and downregulation of anti-apoptotic proteins such as survivin. A more recently elucidated mechanism is the induction of ferroptosis, an iron-dependent form of cell death characterized by overwhelming lipid peroxidation. Beyond direct cytotoxicity, LF acts as a potent immunomodulator. It enhances natural killer (NK) cell activity, modulates T-lymphocyte populations, and crucially reprograms tumor-associated macrophages (TAMs) from a pro-tumor M2 state to an anti-tumor M1 state, thereby reversing the immunosuppressive tumor microenvironment (TME). The translation of LF’s potential has been significantly accelerated by nanotechnology. The inherent biocompatibility and natural tumor-targeting capabilities of LF make it an ideal platform for sophisticated drug-delivery systems. This review details various fabrication strategies for LF-based nanoparticles (NPs), including self-assembly, sol-in-oil emulsion, and electrostatic nanocomplexes, among others. Research demonstrates that nano-formulations not only protect LF from degradation but also enhance its bioactivity and anti-cancer potency. More importantly, LF NPs serve as versatile carriers for a wide array of therapeutic agents, including conventional chemotherapeutics, natural compounds, and imaging agents. These engineered systems enable synergistic therapy and facilitate site-specific delivery. Notably, the ability of LF to bind to receptors on the blood-brain barrier (BBB) has been leveraged to develop nano-systems for glioblastoma treatment. Other innovative designs utilize LF to modulate the TME—for instance, by alleviating tumor hypoxia to sensitize cells to radiotherapy and chemotherapy. Despite compelling pre-clinical evidence, the clinical translation of LF and its nano-formulations remains nascent. While early-phase trials have established a favorable safety profile for recombinant human LF, larger Phase III studies have yielded mixed results, underscoring the complexity of its action in humans. Key challenges include enhancing drug targeting, optimizing loading efficiency, ensuring batch-to-batch reproducibility, and achieving deep tumor penetration. Future research must focus on the rational design of next-generation LF-NPs. This entails developing standardized manufacturing protocols, engineering “smart” stimuli-responsive systems for targeted drug release in the TME, and constructing multi-targeting platforms. A concerted interdisciplinary effort is paramount to bridge the gap between bench and bedside. In conclusion, LF, particularly in its nano-engineered forms, represents a highly promising and versatile agent in the oncological arsenal, holding immense potential for precise and effective cancer therapy.

Objective:To investigate the predictive value of telomerase reverse transcriptase (TERT) promoter C228T/C250T mutations in tumor tissues of patients with hepatocellular carcinoma (HCC) for postoperative recurrence after hepatectomy.Methods:Clinical data of 66 patients with HCC who underwent curative surgical resection at the Cancer Hospital, Chinese Academy of Medical Sciences, between January 2013 and May 2016 were retrospectively analyzed, including 54 males and 12 females, aged (53.5±11.1) years. Tumor tissues were collected from all patients. Droplet digital ploymerase chain reation (ddPCR) was employed to detect the TERT promoter C228T/C250T mutations. Survival outcomes were estimated using the Kaplan-Meier method and compared by the log-rank test. Univariate and multivariate Cox regression were used to analyze the impact of TERT promoter C228T/C250T mutations on postoperative recurrence. The predictive performance of TERT mutations for postoperative recurrence was further assessed using receiver operating characteristic (ROC) curve analysis.Results:The prevalence of TERT C228T and C250T mutations in tumor tissues was 43.9% (29/66) and 3.0% (2/66), respectively. Patients were stratified into a TERT promoter mutation group ( n=31) and a non-mutation group ( n=35). Those harboring C228T/C250T mutations exhibited significantly lower recurrence-free survival compared with non-mutated cases ( χ2=10.10, P=0.002). Multivariate Cox regression analysis showed that TERT promoter C228T mutation ( HR=2.24, 95% CI: 1.18-4.25, P=0.013) and TERT promoter C228T/C250T mutations in tumor tissue ( HR=2.49, 95% CI: 1.31-4.75, P=0.006) were associated with an increased risk of postoperative recurrence in patients with HCC. ROC analysis demonstrated the predictive accuracy for recurrence, with an area under the curve of 0.68 (95% CI: 0.55-0.81) for TERT C228T mutation and 0.71 (95% CI: 0.58-0.84) for combined C228T/C250T mutations. Conclusion:TERT promoter C228T/C250T mutations in tumor tissues of HCC patients detected by ddPCR are risk factors for postoperative recurrence and may serve as indicators for predicting recurrence.

Objective To investigate the effect of LINC00839 on the malignant biological behavior of endometrial cancer cells by regulating the miR-625-5p/cytoplasmic polyadenylation element binding protein 4 (CPEB4) axis. Methods The cancer tissues and adjacent tissues of 46 patients with endometrial cancer were obtained,endometrial cancer cells of HEC-1B,Ishikawa and RL95-2 and human endometrial epithelial cells (HEEC) were cultured in vitro,and the expression levels of LINC00839,miR-625-5p and CPEB4 in tissues and cells were detected. HEC-1B cells were divided into the HEC-1B group (conventional culture),sh-Ctrl group (transfected with sh-Ctrl),sh-LINC00839 group (transfected with shRNA-LINC00839),anti-miR-625-5p group (transfected with shRNA-LINC00839 and miR-625-5p inhibitor),and anti-NC group (transfected with shRNA-LINC00839 and inhibitor-NC). The proliferation,apoptosis,migration and invasion abilities of HEC-1B cells in each group were compared,and the expressions of CPEB4 and epithelial-mesenchymal transition (EMT) related proteins were determined. The targeting relationships between LINC00839 and miR-625-5p,and miR-625-5p and CPEB4 were analyzed. Results The mRNA expression of LINC00839 and CPEB4,as well as the positive expression rate of CPEB4 protein in endometrial cancer tissues were higher than those in adjacent tissues,and the expression of miR-625-5p was lower than that in adjacent tissues (P<0.05). Compared with HEEC cells,the expression of LINC00839 and the mRNA and protein expression of CPEB4 in Ishikawa,RL95-2 and HEC-1B cells increased (P<0.05),and the expression of miR-625-5p decreased (P<0.05). Compared with the sh-LINC00839 group and anti-NC group,the protein expression of N-cadherin,Vimentin,and CPEB4,24-hour absorbance,and migration and invasion cell numbers of HEC-1B cells in the HEC-1B group,sh-Ctrl group and anti-miR-625-5p group increased (P<0.05),while the expression of E-cadherin protein and cell apoptosis rate decreased (P<0.05). There were binding sites between LINC00839 and miR-625-5p,miR-625-5p and CPEB4,with targeting regulatory relationships. Conclusion LINC00839 is related to the malignant biological behavior of endometrial cancer cells,interference with LINC00839 expression can inhibit the proliferation,invasion and migration,and promote apoptosis of HEC-1B cells,and its mechanism may be achieved by regulating the miR-625-5p/CPEB4 axis.

Objective To develop a machine learning model integrating preoperative chest CT radiomic features with clinical data for predicting 5-year postoperative recurrence risk in stage Ⅰ non-small cell lung cancer(NSCLC)patients undergoing surgical resection.Methods A total of 217 patients with pathologically confirmed stage Ⅰ NSCLC(selected from 778 initially screened cases based on our inclusion and exclusion criteria)treated in Army Medical Center of PLA between January 2014 and December 2019 were retrospectively enrolled,including 53 recurrence cases and 164 non-recurrence cases within 5-year follow-up.They were randomly divided into a training set(n=173)and a validation set(n=44)in a ratio of 8:2.Radiomic models were established based on extracted features from tumor-dominant regions of interest(ROI)on CT images,while clinical models were developed using demographic characteristics and preoperative laboratory examinations.A combined model was further constructed by integrating both feature sets,and model performance was compared to identify the optimal predictive model.Results This study screened the features from non-contrast CT images and ultimately selected 7 radiomic features for constructing radiomic model.Among 6 machine learning algorithms,the adaptive boosting(Adaboost)model demonstrated the best overall predictive performance,with an area under the curve(AUC)of 0.866(95%CI:0.808～0.923;accuracy:0.832,specificity:0.884)in the training set and of 0.806(95%CI:0.630～0.983;accuracy:0.795,specificity:0.971)in the validation set.Univariate and multivariate logistic regression analyses identified 4 clinical features for clinical model construction.The clinical model achieved an AUC value of 0.874(95%CI:0.821～0.928;accuracy:0.827,specificity:0.891)in the training set and 0.813(95%CI:0.677～0.948;accuracy:0.636,specificity:0.600)in the validation set.By integrating the 7 radiomic features and 4 clinical features using a feature-level fusion strategy,the combined model exhibited further improved predictive performance,with an AUC value of 0.953(95%CI:0.924～0.983;accuracy:0.884,specificity:0.860)and 0.852(95%CI:0.729～0.976;accuracy:0.682,specificity:0.629),respectively in the training set and the validation set.Conclusion The combined model integrating preoperative CT radiomic features with clinical risk factors may provide an evidence-based framework for evaluating 5-year postoperative recurrence risk in stage Ⅰ NSCLC patients.

Tianxiangdan (TXD), a traditional Chinese herbal remedy, demonstrates efficacy in mitigating myocardial ischemia-reperfusion (I/R)-induced damage. This study employed network pharmacology to evaluate the therapeutic targets and mechanisms of TXD in treating I/R. High-performance liquid chromatography-mass spectrometry (HPLC-MS) identified 86 compounds in TXD. Network pharmacological analysis predicted potential target genes and their modes of action. Cardiac function, ischaemic ST changes, lactate dehydrogenase (LDH), malondialdehyde (MDA), superoxide dismutase (SOD) activity, myocardial fiber, and infarct size were assessed using in vivo and in vitro I/R injury models. Estrogen receptor alpha (ERα) protein expression and estradiol (E2) levels were measured to confirm TXD's impact on estrogen levels and ERα expression. To examine if TXD reduces I/R injury through ERα, an AZD group (300 nmol·L^-1 AZD9496 and 15% TXD serum) was compared to a TXD group (15% TXD serum). The study hypothesized that TXD upregulates the ERα-mediated iron metamorphosis pathway. I/R injury-induced ferroptosis was identified using a Fer-1 group (1.0 μmol·L^-1 Fer-1 and 15% TXD serum) to elucidate the potential association between ferroptosis and ERα proteins. A DCFH-DA probe detected reactive oxygen species (ROS) and Fe²⁺, while Western blotting assessed target protein expression. Both in vitro and in vivo experiments demonstrated that TXD attenuated I/R injury by reducing elevated ST-segment levels, improving cardiac injury biomarkers (LDH, MDA, and SOD), alleviating pathological features, and preventing I/R-induced loss of cell viability in vitro. The effects and mechanisms of TXD on I/R injury-associated ferroptosis were investigated using I/R-induced H9c2 cells. The TXD group showed significantly decreased ROS and Fe²⁺ levels, while the AZ group (treated with AZD9496) exhibited increased levels. The TXD group demonstrated enhanced expression of ERα and glutathione peroxidase 4 (GPX4), with reduced levels of P53 protein and ferritin-heavy polypeptide 1 (FTH1). The AZ group exhibited contrasting effects on these expression levels. The literature indicated a novel connection between ERα and ferroptosis. TXD activates the ERα signaling pathway, promoting protection against I/R-induced myocardial cell ferroptosis. This study provides evidence supporting TXD use for myocardial ischemia treatment, particularly in older female patients who may benefit from its therapeutic outcomes.
Animals ; Ferroptosis/drug effects* ; Estrogen Receptor alpha/genetics* ; Myocardial Reperfusion Injury/genetics* ; Drugs, Chinese Herbal/pharmacology* ; Male ; Mice ; Humans ; Mice, Inbred C57BL ; Estradiol/metabolism*

Objective To evaluate the application of rabbit liver cancer model in teaching interventional medicine for graduate students.Methods A total of 10 first-year master graduate students majoring in Radiological Imaging(Interventional Medicine).who were studying at Zhengzhou University of China,were enrolled in this study.The rabbit liver cancer model was used as the experimental teaching materials.The teaching contents included the establishment of rabbit liver cancer model,the interventional operation of rabbit liver cancer,the method of scientific research and teaching,the evaluation of the teaching effect,and the survey of student satisfaction.Results Under the guidance of teaching tutor,the success rate of VX2 rabbit liver cancer modeling performed by the 10 master graduate students majoring in interventional medicine was 100％,and the mean operational quality assessment score was(11.5±2.0)points.During the operation of interventional surgery,the success rate of femoral artery puncture was also 100％,and the mean score for each interventional operation was(11.8±2.3)points.The students'experimental designs were evaluated by the expert group,the results were as follows:2 cases were rated as excellent,7 cases were rated as good,and one case was rated as moderate.The degree of students'satisfaction with experimental teaching method was high,the specific scores of each item are as follows:the understanding of the rabbit liver cancer model was(4.80±0.40)points,the command of interventional technology was(4.60±0.49)points,and the quality and practicability of teaching materials was(4.90±0.30)points.Conclusion This teaching method of using rabbit liver cancer model experiment can improve the animal experiment ability,interventional operation ability and scientific research innovation ability of graduate students.Animal model teaching method is an innovation of teaching mode for graduate students majoring in interventional medicine.

This study aims to investigate the mechanism by which resveratrol(RES) alleviates cerebral vascular endothelial damage in sepsis-associated encephalopathy(SAE) through network pharmacology and animal experiments. By using network pharmacology, the study identified common targets and genes associated with RES and SAE and constructed a protein-protein interaction( PPI) network. Gene Ontology(GO) analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis were performed to pinpoint key signaling pathways, followed by molecular docking validation. In the animal experiments, a cecum ligation and puncture(CLP) method was employed to induce SAE in mice. The mice were randomly assigned to the sham group, CLP group, and medium-dose and high-dose groups of RES. The sham group underwent open surgery without CLP, and the CLP group received an intraperitoneal injection of 0. 9% sodium chloride solution after surgery. The medium-dose and high-dose groups of RES were injected intraperitoneally with 40 mg·kg-1 and 60 mg·kg~(-1) of RES after modeling, respectively, and samples were collected 12 hours later. Neurological function scores were assessed, and the wet-dry weight ratio of brain tissue was detected. Serum superoxide dismutase(SOD), catalase( CAT) activity, and malondialdehyde( MDA) content were measured by oxidative stress kit. Histopathological changes in brain tissue were examined using hematoxylin-eosin(HE) staining. Transmission electron microscopy was employed to evaluate tight cell junctions and mitochondrial ultrastructure changes in cerebral vascular endothelium. Western blot analysis was performed to detect the expression of zonula occludens1( ZO-1), occludin, claudins-5, optic atrophy 1( OPA1), mitofusin 2(Mfn2), dynamin-related protein 1(Drp1), fission 1(Fis1), and hypoxia-inducible factor-1α(HIF-1α). Network pharmacology identified 76 intersecting targets for RES and SAE, with the top five core targets being EGFR, PTGS2, ESR1, HIF-1α, and APP. GO enrichment analysis showed that RES participated in the SAE mechanism through oxidative stress reaction. KEGG enrichment analysis indicated that RES participated in SAE therapy through HIF-1α, Rap1, and other signaling pathways. Molecular docking results showed favorable docking activity between RES and key targets such as HIF-1α. Animal experiment results demonstrated that compared to the sham group, the CLP group exhibited reduced nervous reflexes, decreased water content in brain tissue, as well as serum SOD and CAT activity, and increased MDA content. In addition, the CLP group exhibited disrupted tight junctions in cerebral vascular endothelium and abnormal mitochondrial morphology. The protein expression levels of Drp1, Fis1, and HIF-1α in brain tissue were increased, while those of ZO-1, occludin, claudin-5, Mfn2, and OPA1 were decreased. In contrast, the medium-dose and high-dose groups of RES showed improved neurological function, increased water content in brain tissue and SOD and CAT activity, and decreased MDA content. Cell morphology in brain tissue, tight junctions between endothelial cells, and mitochondrial structure were improved. The protein expressions of Drp1, Fis1, and HIF-1α were decreased, while those of ZO-1, occludin, claudin-5, Mfn2, and OPA1 were increased. This study suggested that RES could ameliorate cerebrovascular endothelial barrier function and maintain mitochondrial homeostasis by inhibiting oxidative stress after SAE damage, potentially through modulation of the HIF-1α signaling pathway.
Animals ; Mice ; Network Pharmacology ; Resveratrol/administration & dosage* ; Male ; Sepsis-Associated Encephalopathy/genetics* ; Signal Transduction/drug effects* ; Hypoxia-Inducible Factor 1, alpha Subunit/genetics* ; Endothelium, Vascular/metabolism* ; Molecular Docking Simulation ; Protein Interaction Maps/drug effects* ; Humans ; Sepsis/complications* ; Oxidative Stress/drug effects*