Sinonasal adenoid cystic carcinoma (SNACC) is the second most common sinonasal malignancy, following squamous cell carcinoma. Most patients present with advanced stage disease (T3-T4) at the time of diagnosis, with a propensity for perineural invasion, bone invasion, anterior skull base involvement, and high probability of positive margins. After initial treatment, local recurrence and distant metastasis are common, sometimes occurring years later. Imaging studies are valuable for determining the extent of the tumor, but a pathological biopsy remains essential for a definitive diagnosis. Surgical resection is currently the primary treatment modality. Endoscopic surgery offers advantages in reducing complications and improving quality of life while providing comparable survival outcomes to open surgery. For unresectable cases, radiotherapy combined with or without chemotherapy is recommended. Long-term close follow-up is crucial for comprehensive management of the disease. A multidisciplinary team (MDT) provides the core strategy for the diagnosis and treatment of SNACC. The MDT focuses on precise staging and personalized treatment, aiming to balance tumor control, functional preservation, and quality of life improvement. It represents the optimal current management pathway for SNACC.

Boron neutron capture therapy (BNCT) is a precision radiotherapy technology for tumors. On the international stage, Japan stands out as a representative country where BNCT has progressed into a mature clinical phase. Although China started relatively late, it has achieved rapid advancements through independent research and development in accelerator and neutron source equipment, domestically produced boron drugs, and clinically validated therapeutic efficacy. In several key indicators, China has now reached internationally advanced levels. Looking ahead, efforts should be prioritized toward the development of third-generation boron-based drugs, the standardization of treatment protocols, and cost reduction to enhance treatment accessibility, ultimately aiming to build a competitive BNCT clinical application and technological innovation system.

Objective To investigate the heterogeneity and key molecular features of epithelial cells in triple-negative breast cancer (TNBC), identify prognostic biomarkers, and develop a robust survival prediction model. Methods Using TNBC single-cell transcriptomic data, epithelial cells were extracted, normalized, and subclustered to characterize their molecular signatures and functional differences. High-dimensional weighted gene co-expression network analysis (hdWGCNA) was applied to establish co-expression modules in epithelial cells. Multiple machine learning algorithms were integrated to select key prognostic genes and develop a risk-score model, whose performance was evaluated using receiver operating characteristic (ROC) curves and Kaplan-Meier (K-M) survival analysis. In addition, the immune microenvironment features and potential drug-response differences between the high- and low-risk groups were systematically assessed. Finally, PCR was performed to validate the expression differences of the key genes between tumor and normal tissues. Results We characterized the composition and molecular features of TNBC epithelial subpopulations and identified a TNBC-associated epithelial subset. By integrating hdWGCNA with machine learning approaches, 10 key genes were selected to construct a prognostic model, which effectively stratified patients into distinct survival-risk groups and demonstrated favorable predictive performance in ROC and K-M analyses. Immune profiling revealed the differences in the infiltration levels of seven immune cell types and immune function-related features between the high- and low-risk groups. Drug-sensitivity analysis suggested potential differential responses to eight agents across the risk groups. PCR validation further confirmed the differential expression of the ten signature genes between tumor and normal tissues. Conclusion This study reveals epithelial heterogeneity in TNBC at single-cell resolution and establishes a 10-gene prognostic model, which may facilitate the stratification of TNBC risk and the evaluation of immune characteristics and potential therapeutic strategies.

Objective To investigate the causal relationship between metabolic syndrome and breast cancer by using a bidirectional two-sample Mendelian randomization (MR) approach. Methods Genome-wide association study (GWAS) summary statistics for metabolic syndrome and breast cancer were acquired from the Integrative Epidemiology Unit GWAS database and the GWAS Catalog, with populations encompassing the United States and East Asia. A bidirectional causal design was employed: a forward analysis with metabolic syndrome as the exposure and breast cancer as the outcome, followed by a reverse analysis wherein their roles were interchanged. The inverse-variance weighting (IVW) method was primarily used for effect estimation, supplemented by MR-Egger regression, the weighted median method, the simple mode method, and the weighted mode method. Instrument variable strength was screened using the F-statistic (F>10). Robustness of the results was assessed through heterogeneity tests, horizontal pleiotropy tests, forest plots, and leave-one-out sensitivity analyses. Results The IVW analysis indicated no significant causal relationship between metabolic syndrome and breast cancer (OR=1.00, 95%CI: 0.97-1.03), P>0.05). Sensitivity analyses yielded consistent results, suggesting the good robustness of the study findings. Conclusion This study found no evidence to support a causal relationship, either positive or negative, between metabolic syndrome and breast cancer.

Objective To analyze survival outcomes and influencing factors among patients with colorectal cancer in Yunnan Province. Methods Clinical data were retrospectively collected from 4 892 patients with colorectal cancer. Survival data were obtained through follow-up. Overall survival (OS) was calculated by using the Kaplan-Meier method. Univariate analysis was performed by applying the log-rank test. Meanwhile, multivariate analysis employed the Cox proportional hazards regression model. Results The 1-, 3-, 5-, and 10-year OS rates for the entire cohort were 91.90%, 74.40%, 64.40%, and 28.70%, respectively. Univariate analysis revealed that age, ethnicity, region, differentiation grade, TNM stage, clinical stage, metastatic status, histological type, and treatment modality (chemotherapy, radiotherapy, and surgery) were associated with patient prognosis (all P<0.05). Multivariate analysis identified age (HR=1.250), region (HR=1.262), differentiation grade (HR=0.761), clinical stage (HR=3.128), and treatment modality (chemotherapy, HR=0.644; radiotherapy, HR=1.605; surgery, HR=0.384) as independent factors affecting survival prognosis in patients with colorectal cancer (all P<0.001). Conclusion Age, region, clinical stage, and treatment modality are independent factors influencing survival among patients with colorectal cancer in Yunnan Province. In clinical practice, these factors should be integrated to develop individualized prevention and treatment strategies, thereby improving patient outcomes.

Chimeric antigen receptor (CAR) T-cell therapy for B-cell hematologic malignancies has achieved breakthrough success; however, its efficacy for acute myeloid leukemia (AML) is constrained by the lack of highly specific tumor antigens and the expression of shared targets on normal hematopoietic stem/progenitor cells, increasing the risk of on-target myelosuppression and cytokine release syndrome (CRS). By contrast, CAR-NK cell therapy, an emerging strategy that leverages the innate antitumor activity of natural killer cells, is associated with low rates of CRS and graft-versus-host disease. Early clinical studies also indicate its favorable safety profile with preliminary antileukemic activity. This review summarizes recent advances in CAR-NK therapy for AML and discusses future directions and potential avenues for clinical translation.

Vascular endothelial growth factor (VEGF) inhibitors are drugs that target and inhibit tumor angiogenesis. By blocking the signaling pathway of VEGF and its receptor, they suppress tumor proliferation and play a crucial role in tumor treatment. However, their side effects, such as hypertension, proteinuria, hand-foot skin reactions, and myelosuppression, during treatment seriously affect patients' treatment compliance and quality of life. The development of intervention strategies for the side effects of VEGF inhibitors is of great importance for tumor treatment. This article reviews the clinical characteristics and toxic mechanisms of common side effects caused by VEGF inhibitors during tumor treatment and summarizes intervention strategies that combine traditional Chinese and Western medicines. Drug dosages were precisely monitored and adjusted to achieve antitumor treatment. Patients' discomfort symptoms are improved through prescriptions that act by tonifying qi and promoting blood circulation, strengthening the spleen, and tonifying the kidney. The combination of traditional Chinese and Western medicines is used to treat patients, thus providing a safe and effective treatment plan for patients with cancer.

Arsenic trioxide (ATO) serves as a component of traditional Chinese medicine and a modern anticancer agent, demonstrating remarkable efficacy in the long-term treatment of acute promyelocytic leukemia. With increasing research into its application in solid tumors, ATO's diverse mechanisms of action and potential clinical value have attracted widespread attention. ATO can inhibit tumor cell proliferation by inducing various forms of cell death, such as apoptosis, autophagy, pyroptosis, necroptosis, and ferroptosis, as well as by regulating cell differentiation. Moreover, its modulatory effects on the tumor immune microenvironment provide a new aspectto its antitumor activity. Nevertheless, the clinical application of ATO in solid tumors faces challenges such as low bioavailability, inadequate targeting, and adverse effects. The development of nanocarriers and targeted delivery systems has emerged asa key strategy for enhancing the therapeutic efficacy of ATO. This review systematically summarizes the multiple mechanisms of action of ATO in solid tumors and recent advances in nanodelivery technologies, explores the potential of ATO-based combination therapies, and discusses future directions, aiming to provide a theoretical foundation and practical guidance for the clinical application of ATO in solid tumors.

Hepatocellular carcinoma (HCC) develops within a profoundly immunosuppressive tumor immune microenvironment (TIME), which limits the efficacy of immunotherapy. Polarization of tumor-associated macrophages (TAMs) toward a pro-tumorigenic M2 phenotype is a major driver of immune escape. Ferroptosis, an iron-dependent regulated cell death program, intersects with hepatic iron metabolism and immune regulation and thus offers promising points of therapeutic intervention. This review systematically elucidates the mechanistic role of TAM ferroptosis in HCC immune evasion and highlights a “bidirectional regulation” intervention strategy grounded in the Traditional Chinese medicine (TCM) principle of “fortifying healthy qi and eliminating pathogens” (Fuzheng Quxie). This strategy employs “eliminating pathogens” (Quxie) approaches to exploit the metabolic vulnerability of M2-like TAMs and precisely induce their ferroptosis. Moreover, it utilizes “fortifying healthy qi” (Fuzheng) approaches to protect M1-like TAMs and CD8⁺ T cells from oxidative damage. This parallel “induction-protection” paradigm demonstrates the unique advantages of TCM in systemically remodeling TIME through multitarget synergistic actions. Accordingly, precision regulation of TAM ferroptosis based on the Fuzheng Quxie theory represents a promising integrative Chinese-Western medicine strategy for overcoming current bottlenecks in HCC immunotherapy, although its clinical translational potential warrants further validation.

Despite breakthroughs in immunotherapy for solid tumors, significant variations in treatment efficacy persist. Up to 80% of cancer patients suffer from malnutrition, which leads to: lymphoid atrophy and reduced T-cell reserves; deficiency of substrates required for T-cell activation and expansion; concurrent inflammation hindering T-cell infiltration into tumors; and cachexia accelerating PD-1 antibody clearance. Clinical studies confirm that severe malnutrition significantly impairs immune responses and increases the risk of treatment toxicity. Therefore, implementing standardized nutritional therapy is crucial for optimizing the reserve, activation, expansion, and infiltration capacity of immune cells, thereby providing a sound immune system foundation for immunotherapy. Immunonutrition therapy, by enhancing immunonutrients such as arginine, omega-3 polyunsaturated fatty acids, and nucleotides, reduces the secretion of pro-inflammatory mediators and promotes T-cell activation and proliferation. This enhances anti-tumor immune responses, prolongs survival, and advances cancer treatment towards multimodal combination and precision approaches.