Objective To investigate the impact of two different algorithms, AAA and AXB, on the dose distribution of postoperative radiotherapy for left-sided breast cancer after breast-conserving surgery. Methods A total of 96 target volumes from patients who underwent breast-conserving surgery for left-sided breast cancer were selected for dose verification using a two-dimensional matrix system. The planned dose distributions were simulated using both AAA and AXB algorithms. Dosimetric differences in organs at risk and the target volumes were then compared to identify the algorithm that could reduce the radiation dose to organs at risk without compromising the dose distribution to the target volume. Dose verification was performed on the plans generated by both algorithms, and the pass rates of plans for each target volume using both algorithms were compared to provide a quantitative basis for the precise selection of subsequent radiotherapy plans. Results Both AAA and AXB plans met the radiotherapy requirements. The AXB algorithm demonstrated significant advantages in the D₉₈, D₂, homogeneity index, and conformity index for the planning target volume, as well as in the V₅ and V₂₀ for the left lung. The AXB algorithm showed advantages in the V₃₀ for the heart and the maximum and mean doses for the skin. With the 2 mm/2% criterion in dose verification, the gamma pass rate was higher for the AXB algorithm. Conclusion Through a comparative analysis of the two algorithms, this study revealed that the AXB algorithm offers certain advantages in the dose distribution of radiotherapy after breast-conserving surgery for left-sided breast cancer. These findings provide an important reference for the rational selection of algorithms in clinical practice and are expected to improve radiotherapy efficacy and patient prognosis.

Objective: To explore the effects of microwave radiation on cognitive function and neuroinflammation in mice with experimental periodontitis, providing experimental evidence for understanding how environmental exposure may be linked to the risk of neurodegenerative diseases by modulating chronic inflammation as a shared pathological mechanism Methods: This study was approved by the Animal Ethics Committee of the Academy of Military Medical Sciences. C57BL/6J mice were randomly divided into a control group (C group, untreated), a microwave radiation group (R group, exposed to microwave radiation only), a periodontitis group (P group, ligation-induced periodontitis only), and a periodontitis + microwave radiation group (PR group, ligation-induced periodontitis plus microwave radiation exposure). A periodontitis model was established using the silk ligation method. Eight weeks after modeling, the R and PR groups were subjected to whole-body microwave radiation at 2 800 MHz and 10 mW/cm2 for 10 h/day for 7 consecutive days. Behavioral tests were conducted: the open field test and elevated plus maze test were used to assess anxiety-like behavior, the Y-maze test to evaluate spatial memory, and the novel object recognition test to assess learning and memory abilities. Micro-CT, hematoxylin & eosin staining (HE), and quantitative real-time polymerase chain reaction (qPCR) were used to analyze periodontal tissue pathology and local inflammation. Serum and brain levels of lipopolysaccharide (LPS), interleukin-1β (IL-1β), interleukin-6 (IL-6), and tumor necrosis factor-α (TNF-α) were measured using enzyme-linked immunosorbent assay (ELISA). The composition of the oral microbiota was analyzed based on 16S rRNA sequencing. Results: Behavioral tests showed that anxiety-like behavior was significantly exacerbated in the R and PR groups, and spatial and recognition memory impairments in the PR and P groups were more severe compared with the R and C groups, respectively (P < 0.05). Histological and molecular biological analyses revealed that periodontal inflammation infiltration, alveolar bone resorption, and local expression of pro-inflammatory cytokines (TNF-α, IL-1β, IL-6) were further exacerbated in the PR and P groups compared with the R and C groups, respectively (P < 0.05). ELISA results showed that in serum, LPS levels in group P and group PR were increased compared with group C and group R, respectively. The levels of TNF-α, IL-1β, and IL-6 in group PR were significantly higher than those in group P and group R, with a synergistic increase in TNF-α level (P < 0.05). In brain tissue, LPS and TNF-α, IL-1β, IL-6 levels in group P were significantly higher than those in group C; all the above indicators in group PR were significantly higher than those in group P and group R, and LPS and IL-6 levels showed a synergistic increase (P < 0.05). Oral microbiota analysis found that microwave radiation further reduced microbial diversity on the basis of periodontitis, leading to increased relative abundances of Lactobacillus and Enterococcus, and decreased relative abundances of Staphylococcus. Correlation analysis confirmed that these differential bacterial genera were positively correlated with brain inflammation levels and negatively correlated with cognitive function indicators. Conclusion Microwave radiation exposure can exacerbate cognitive impairment in mice with experimental periodontitis, and its mechanism may be related to aggravated local periodontal damage, disruption of oral microbiota homeostasis, and subsequent induction of systemic and central neuroinflammatory cascades.

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: To explore the independent risk factors of allogeneic blood transfusion during perioperative period of cytoreductive surgery in patients with ovarian cancer, and to construct a predictive model to facilitate clinical risk assessment and optimize perioperative blood management. Methods: Clinical data of 156 patients who underwent cytoreductive surgery for ovarian cancer in our hospital from January 2020 to December 2025 were retrospectively collected. The patients were divided into transfusion group (n=51) and non-transfusion group (n=105) according to whether they received allogeneic blood transfusion during perioperative period. The 1∶1 propensity score matching (PSM) was used to correct the confounding factors. Independent sample t test or Mann-Whitney U test was used for measurement data, and chisquare test was used for enumeration data. Variables with P<0.05 in univariate analysis were included in binary logistic regression for multivariate analysis to determine independent risk factors. A nomogram model for perioperative allogeneic blood transfusion risk prediction was constructed based on independent risk factors. Bootstrap method (100 samples) was used for internal calibration verification. ROC curve was used to evaluate the discrimination efficiency, and decision curve analysis (DCA) was used to evaluate the clinical net benefit of the model. Results: After propensity matching, the baseline data of the two groups were balanced and comparable. Multivariate logistic regression analysis showed that preoperative prothrombin time (PT) (OR=2.666, 95%CI 1.249~5.693, P=0.011), preoperative hemoglobin (Hb) (OR=0.953, 95%CI 0.923~0.984, P=0.003), intraoperative blood loss (OR=1.004, 95%CI 1.001-1.006, P=0.004), preoperative anemia grade (OR=3.052, 95%CI 1.007-9.252, P=0.049) were independent influencing factors of perioperative allogeneic blood transfusion. The nomogram model based on the above four factors was significant (LR χ =58.617, P<0.001), and the internal calibration curve showed that the predicted probability of the model was in good agreement with the actual probability (mean absolute error=0.042). The area under the ROC curve (AUC) was 0.890, indicating good discrimination efficiency. DCA showed that the clinical net benefit of the model was better than that of the unified transfusion/non-transfusion strategy in the 0-0.45 risk threshold range. Conclusion: Intraoperative blood loss, preoperative PT, preoperative Hb and preoperative anemia grade are independent risk factors for perioperative allogeneic blood transfusion in patients undergoing cytoreductive surgery for ovarian cancer. The nomogram model based on the above factors has good predictive efficacy and clinical hierarchical decision-making value, which can provide reference for clinical implementation of individualized blood management for high-risk patients and reduction of unnecessary blood transfusion rate.

Lung cancer is the malignant tumor with the highest morbidity and mortality. The tumor-node-metastasis (TNM) staging has gradually shown its limitations in the accurate prediction of lung cancer, so it is urgent to construct a new clinical predictive model to guide the prevention and treatment of lung cancer. In recent years, as a comprehensive evaluation system based on peripheral immune related parameters, the value of peripheral immunoscore in the construction of predictive model has gradually become prominent. By quantifying the quantity and proportion of immune components in peripheral blood, the score can dynamically reflect the overall immune function and tumor microenvironment characteristics of the body. This paper systematically summarizes the latest research progress of peripheral immunoscore in early diagnosis, drug efficacy prediction, early warning of adverse reactions and prognosis evaluation of lung cancer, aiming to tap its potential clinical application value and provide some ideas and directions for developing new lung cancer-related predictive models.
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Humans ; Lung Neoplasms/drug therapy* ; Tumor Microenvironment ; Prognosis

Cervical cancer is the fourth most prevalent cancer among women worldwide，which is closely related to human papillomavirus（HPV）infection. Since prophylactic HPV vaccines cannot clear established infections，therapeutic HPV vaccines are urgently needed to induce a cytotoxic T cell-dominated immune response to clear HPV infections or improve HPV-related conditions. This article systematically reviews the immune design strategy，research and development platform，and clinical research progress of therapeutic HPV vaccines，aiming to provide ideas for the research and development of therapeutic HPV vaccines.

Objective To analyze the risk factors associated with the occurrence of rectal neuroendocrine tumors (RNETs) and construct a risk prediction model. Methods Clinical data of patients who underwent electronic colonoscopy were collected. The clinical information on patients with and without RNETs were compared, and potential risk factors for RNETs were identified. Binary logistic regression was performed to analyze the relevant risk factors and construct a risk prediction model. Results Among 164 patients, 66 were diagnosed with RNETs, and 98 who did not have such a condition were randomly selected. Univariate logistic regression analysis revealed that age, fatty liver, anxiety and depression, total cholesterol, triglyceride levels, and carcinoembryonic antigen (CEA) were significant factors influencing the occurrence of RNETs (P<0.05). Multivariate logistic regression analysis identified age (P=0.015), anxiety and depression (P=0.031), cholesterol level (P=0.009), fatty liver (P=0.001), and CEA (P<0.001) as independent risk factors for RNETs. The participants were randomly divided into training and test sets at a 7:3 ratio. The training set was used to construct a nomogram-based risk prediction model, and the testing set was used for internal validation. The area under the curve values for the training and testing sets were 0.843 and 0.772, respectively (P>0.05). These findings indicate a good discriminative performance. The calibration curves for the training and testing sets were in good agreement with the 45° standard line, which suggests that the predicted probabilities were consistent with the actual outcomes. Decision curve analysis showed that the model provided a high net benefit within a threshold range of 0.2 to 0.7 for clinical decision making. Conclusion Young age, fatty liver, high CEA levels, high cholesterol levels, and anxiety and depression are independent risk factors for RNETs. The nomogram model constructed based on these risk factors exhibits a strong capability to predict the occurrence of RNETs, and clinical intervention can be considered based on the predicted probability values.

Metastasis remains the primary cause of cancer-related mortality worldwide. Circulating tumor cells (CTCs) represent critical targets for metastasis prevention and treatment. Traditional Chinese medicine may prevent lung cancer metastasis through long-term intervention in CTC activity. Tiao-Shen-Zhi-Ai Formular (TSZAF) represents a Chinese medicine compound prescription utilized clinically for lung cancer treatment. This study combined three principal active ingredients from TSZAF into a novel TSZAF monomer combination (TSZAF mc) to investigate its anti-metastatic effects and mechanisms. TSZAF mc demonstrated significant inhibition of proliferation, migration, and invasion in CTC-TJH-01 and LLC cells, while inducing cellular apoptosis in vitro. Moreover, TSZAF mc substantially inhibited LLC cell growth and metastasis in vivo. Mechanistically, TAZSF mc significantly suppressed the Wnt/β-catenin signaling pathway and CXCL5 expression in lung cancer cells and tissues. Additionally, TAZSF mc notably reduced neutrophil infiltration in metastatic lesions. These findings indicate that TSZAF mc inhibits lung cancer growth and metastasis by suppressing the Wnt/β-catenin signaling pathway and reducing CXCL5 secretion, thereby decreasing neutrophil recruitment and infiltration. TSZAF mc demonstrates potential as an effective therapeutic agent for lung cancer metastasis.
Lung Neoplasms/genetics* ; Wnt Signaling Pathway/drug effects* ; Animals ; Humans ; Drugs, Chinese Herbal/pharmacology* ; Mice ; Neoplasm Metastasis/prevention & control* ; Cell Proliferation/drug effects* ; Cell Line, Tumor ; Neutrophil Infiltration/drug effects* ; Down-Regulation/drug effects* ; Cell Movement/drug effects* ; beta Catenin/genetics* ; Apoptosis/drug effects* ; Mice, Inbred C57BL ; Male ; Neoplastic Cells, Circulating/drug effects*

Organ damage from cancer treatment remarkably effects patients’ prognosis and quality of life. In recent years, preventive organ protection strategies, such as interdisciplinary collaboration, early prevention, precision interventions, psychological support, and the integrated application of traditional Chinese medicine, have demonstrated substantial clinical value and achieved notable progress. However, these approaches still encounter multiple challenges. Establishing multidisciplinary teams, optimizing therapeutic balance, and strengthening evidence-based research are essential for addressing the challenges related to treatment balance optimization, multidisciplinary coordination, and clinical translation of novel technologies. This review systematically summarizes recent advancements in preventive organ protection, analyzes existing challenges and potential solutions, and offers forward-looking recommendations. It aims to provide valuable insights for optimizing comprehensive cancer treatment strategies and improving long-term patient outcomes.

The life view of physique-qi-spirit trinity is the core theory for explaining the physiological activities of human body and the evolution of disease pathology in traditional Chinese medicine(TCM),and will bring about an overview of TCM tumorigenesis.This paper explores the biological basis of tumor from the perspective of disorders of physique,qi and spirit:there is a correlation between qi-physique transformation and energy and substance metabolism,and between spirit-emotion and neuromodulation;the nerve-metabolism pathway contributes to partial biological basis of tumor from the perspective of disorders of physique,qi and spirit.Furthermore,it puts forward the strategies for prevention and treatment with TCM through the simultaneous regulation of physique,qi and spirit:eliminating the mass to inhibit the tumor,and improving physique to preserve life in the view of treating physique;replenishing qi to strengthen the body,and ventilating qi to remove toxins in the view of treating qi;regulating the spirit to treat cancer through comprehensive therapy in the view of treating spirit.The exploration on the biological basis of tumor from the perspective of disorders of physique,qi and spirit will further embody the unique advantages of TCM theories in understanding malignant tumors,and will provide useful references for the model of synergistic prevention and treatment of malignant tumors with TCM.