circPVT1 has emerged as a key regulator in disease progression and clinical outcomes. However, its prognostic relevance and association with clinicopathological parameters in solid malignancies remain to be fully elucidated. To address this, we conducted a meta-analysis to elucidate the clinical significance of circPVT1 in solid tumors.

A comprehensive literature search was conducted across multiple databases, including PubMed, Web of Science, Embase, the Cochrane Library, and CNKI, with a cutoff date of December 31, 2024. Statistical analyses were conducted using STATA 12.0 to calculate pooled hazard ratios (HRs) and odds ratios (ORs) with 95% confidence intervals (CIs), assessing the impact of circPVT1 expression on overall survival (OS) and its association with clinicopathological characteristics.

This analysis included 27 clinical studies encompassing a total of 2,219 patients. Elevated circPVT1 expression was significantly associated with poorer OS in patients with solid tumors (HR = 1.68, 95% CI: 1.39–2.02, P < 0.001). This association was particularly notable in lung cancer (HR = 2.08, 95% CI: 1.51–2.88, P < 0.001) and osteosarcoma (HR = 1.65, 95% CI: 1.38–1.97, P < 0.001), with similar trends observed in hepatocellular carcinoma, colorectal cancer, and papillary thyroid carcinoma. Furthermore, the increased circPVT1 level was correlated with larger tumor size (OR = 1.36, 95% CI: 1.11–1.67, P = 0.004), lymph node metastasis (OR = 1.56, 95% CI: 1.22–2.00, P < 0.001), distant metastasis (OR = 1.80, 95% CI: 1.10–2.92, P = 0.017), and advanced tumor-node-metastasis stage (OR = 1.84, 95% CI: 1.50–2.25, P < 0.001).

Aberrant circPVT1 expression is associated with adverse OS and unfavorable clinicopathological features in solid tumors, underscoring its potential utility as a prognostic biomarker and indicator of tumor aggressiveness.

Microsatellite-stable colorectal cancer, which accounts for roughly 80–85% of cases, remains largely refractory to immune checkpoint inhibitors compared with microsatellite instability-high tumors. This review synthesizes current evidence on tumor-intrinsic and microenvironmental mechanisms underlying immune checkpoint inhibitor resistance in microsatellite-stable colorectal cancer—including low neoantigen burden and impaired antigen presentation, activation of Wnt/β-catenin and MAPK signaling that exclude T cells, an immunosuppressive cellular milieu (regulatory T cells, myeloid-derived suppressor cells, M2-like tumor-associated macrophages, cancer-associated fibroblasts), metabolic reprogramming, and gut microbiome dysbiosis—and evaluates translational strategies aimed at overcoming these barriers. Preclinical and early-phase clinical data indicate that rational, mechanism-guided combinations (vascular normalization, myeloid reprogramming, metabolic inhibitors, antigen-priming approaches, and microbiome modulation) can enhance immune infiltration and produce benefits in biomarker-defined subgroups. Moving the field forward will require biomarker-driven, adaptive clinical trials with embedded translational endpoints to optimize patient selection and manage toxicity.

Further decompensation in cirrhosis is associated with increased mortality. However, reliable tools to predict further decompensation after transjugular intrahepatic portosystemic shunt (TIPS) are currently limited. This study aimed to investigate the incidence and risk factors of further decompensation within one year post-TIPS in patients with cirrhosis and to develop a predictive model for identifying high-risk individuals.

This retrospective cohort study enrolled 152 patients with cirrhosis undergoing TIPS for variceal bleeding and/or refractory ascites (January 2018–January 2024). Patients were stratified according to one-year decompensation outcomes. LASSO regression and multivariable logistic analysis were used to identify predictors, and a nomogram was constructed and internally validated using bootstrapping (1,000 replicates).

Among the 152 patients (median age 57.5 years [IQR 50.0–66.0]; 58.6% male; 58.6% viral/alcohol-associated etiology), 65.8% (100/152) achieved clinical stability at one year post-TIPS, while 34.2% (52/152) developed further decompensation. LASSO regression identified right hepatic lobe volume, spleen volume, and portal pressure gradient (PPG) reduction as key predictors, all independently associated with further decompensation risk in multivariable analysis (OR [95% CI]: 0.683 [0.535–0.873], 1.435 [1.240–1.661], and 0.961 [0.927–0.996], respectively). The nomogram demonstrated superior discrimination compared with PPG reduction alone and benchmark prognostic scores (AUC 0.854 [0.792–0.915] vs. 0.619–0.652; ΔAUC +0.201–+0.235, p < 0.001) with 92.3% sensitivity. High-risk patients (score > 86) had a 10.7-fold higher risk of further decompensation than low-risk patients (60.0% vs. 5.6%; p < 0.0001).

This validated model, combining hepatosplenic volumetry and PPG reduction, accurately stratifies further decompensation risk post-TIPS and may guide targeted surveillance and preventive interventions.

Metabolic dysfunction-associated steatohepatitis (MASH) represents a critical step in the progression from simple fatty liver disease to more severe conditions such as cirrhosis and hepatocellular carcinoma, and it remains difficult to treat. Arctigenin (ATG), a monomer of Fructus Arctii, exhibits anti-inflammatory activity. Therefore, we aimed to examine its potential protective role against MASH and explore the underlying mechanisms.

Male C57BL/6 mice were divided into four groups: control, MASH, low-dose ATG (30 mg/kg/day), and high-dose ATG (120 mg/kg/day). MASH was induced through a choline-deficient, L-amino acid-defined high-fat diet for eight weeks, with concurrent preventive ATG administration. Liver injury, lipid metabolism, inflammation, oxidative stress, and fibrosis were assessed. Network pharmacology was employed to identify the potential protective mechanisms of ATG. Key factors were evaluated in vitro to verify the ATG targets.

ATG administration prevented the progression of MASH in a dose-dependent manner. High-dose ATG significantly reduced hepatic macrophage and neutrophil infiltration, serum enzyme levels, and lipid peroxidation, while enhancing antioxidant enzyme activity. Mechanistic network pharmacology identified modulation of the NLR family pyrin domain containing 3 (NLRP3) inflammasome as the central pathway underlying ATG’s bioactivity. Functional analyses in lipopolysaccharide-stimulated RAW264.7 cells confirmed that ATG inhibited NLRP3 expression, pyroptosis-related protein cleavage (hereinafter referred to as GSDMD-N), and pro-inflammatory chemokine production in a concentration-dependent manner. Notably, ATG disrupted NLRP3/GSDMD-N axis activity in macrophages without causing cellular toxicity.

ATG may inhibit the inflammatory cascade primarily by targeting macrophage NLRP3 inflammasomes, thereby preventing the progression of MASH.

Bone marrow metastasis (BMM) from non-hematolymphoid malignancies with resultant cytopenia(s) can mimic primary hematolymphoid disorders. This study aimed to investigate the clinical and pathological characteristics of BMM from non-hematopoietic tumors.

We conducted a retrospective cohort study of patients diagnosed with BMM by non-hematolymphoid malignancies at our institution over the past 10 years. Demographic and clinical characteristics, histopathological findings of bone marrow, types of metastatic tumors, and prognosis were analyzed.

A total of 54 cases were included. The four most common malignancies with BMM, regardless of gender, were prostatic adenocarcinoma (29.6%), breast carcinoma (25.9%), colorectal adenocarcinoma (5.5%), and lung carcinoma (5.5%). The main clinical and laboratory manifestations were anemia (90.7%), reticulocytosis (80.5%), thrombocytopenia (73.9%), bone pain (55.5%), disseminated intravascular coagulation (39.6%), leukoerythroblastosis (35.3%), and leukopenia (24%). The vast majority (96.3%) of metastatic tumors were identified by morphology alone; however, in approximately 2.7% of cases, immunohistochemistry was required due to subtle morphologic features. In 29.6% (16/54) of patients, BMM was identified prior to or concurrently with other metastatic sites. The median time interval between the initial diagnosis of non-hematolymphoid malignancies and BMM was 29 months. Although patients who received anti-tumor treatment after BMM diagnosis showed significantly improved prognosis (P < 0.01), no significant differences were observed between those treated with immunotherapy versus chemotherapy and/or radiotherapy (P = 0.145).

Prostate and breast carcinomas are the most common malignancies associated with BMM, with anemia, reticulocytosis, and thrombocytopenia being the most frequent clinical manifestations. While our data demonstrate that anti-neoplastic treatments, regardless of regimen, significantly improve overall survival after BMM, no significant survival differences were observed when prostate and breast carcinomas were compared with other types of BMM.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is now considered to be among the most prevalent chronic liver diseases worldwide. Its comprehensive management encompasses multiple stages, including risk assessment, early detection, stratified intervention, and long-term follow-up. Among these, improving diagnostic accuracy and optimizing individualized therapeutic strategies remain key challenges in both research and clinical practice. In recent years, artificial intelligence and smart devices have developed rapidly and have gradually been applied in the medical field, offering novel tools and pathways for MASLD risk stratification, non-invasive diagnosis, therapeutic evaluation, and patient self-management. This review summarizes the current applications of artificial intelligence and smart devices in MASLD care, highlights their benefits and limitations, and discusses future directions to support precision diagnosis and treatment strategies.

Giant invasive spinal schwannoma (GISS) is a rare benign tumor that extends over two or more vertebral levels with myofascial invasion. No previous case of GISS with vertebral body collapse has been reported. A 44-year-old man presented with a one-year history of progressive limb weakness and difficulty with defecation. He was initially misdiagnosed with a metastatic spinal tumor. Imaging revealed a large extradural mass with C4 vertebral body collapse. Histological examination of tumor tissue from both operations confirmed the diagnosis of schwannoma. The postoperative course was uneventful, and the patient’s limb weakness gradually improved. One year after surgery, the patient was able to walk and write independently. Muscle strength recovered to 4/5 in the upper extremities and 5/5 in the lower extremities, with a modified Japanese Orthopaedic Association score of 15/15. The patient’s neurological function improved significantly, and one-year follow-up showed no recurrence and stable spinal fixation. Currently, the patient’s bowel function has improved; however, the patient still requires defecation in bed. When magnetic resonance imaging reveals giant spinal tumors with imaging features suggestive of malignancy, GISS should be considered. Preoperative biopsy is essential for accurate diagnosis.

Precision medicine represents a paradigm shift in healthcare, emphasizing individualized approaches to disease prevention, diagnosis, and treatment based on a patient’s genetic, proteomic, and immunologic profile. In the field of oncology, this paradigm has gained traction, particularly with the integration of immunotherapeutic modalities. Among the most promising advancements are therapeutic cancer vaccines, which harness the body’s immune system to fight tumors more effectively. This mini-review highlights recent developments in therapeutic vaccine engineering. It also discusses key barriers to clinical translation and summarizes findings from contemporary human clinical trials evaluating personalized cancer vaccines. In addition, it evaluates the growing potential of these therapies to redefine cancer treatment.

Regular exercise is fundamental for people with metabolic dysfunction-associated steatotic liver disease (MASLD), yet exercise maintenance is generally poor. This generative co-design process aimed to embed the voices and opinions of people with lived experience of MASLD and their care stakeholders to (i) frame barriers and enablers to exercise maintenance and (ii) highlight priorities for exercise-focused research agendas in MASLD.

A generative co-design framework was applied. Two virtual co-design sessions were undertaken: Session 1 – Framing the issue, where initial discovery was conducted with people with lived experience of MASLD; and Session 2 – Generative design and sharing ideas with lived experience partners and healthcare stakeholders. Sessions were audio-recorded and transcribed, and key determinants and considerations were discerned by two independent researchers.

Lived experience partners (n = 5, 53 ± 16 years, 40% male) ranked five equally important barriers to exercise maintenance: musculoskeletal and pain issues, lack of access to exercise equipment/facilities, cost, competing priorities, and low energy levels, which influenced core positive and negative determinants. Alongside lived experience partners, healthcare stakeholders (hepatologists [n = 3], exercise professionals [n = 3], 67% male) identified three core needs with eight considerations. Some disconnects in priorities were observed. Lived experience partners emphasized affordability, accessibility, and considerations for comorbidities, while healthcare partners advocated for research on natural history, prevention, behavior change, cost-effectiveness, and health system change.

This co-design methodology highlights unique consumer-informed research questions. Exercise interventions and their associated implementation trials will benefit from being co-designed with both people with MASLD and care stakeholders.

Artemisia argyi H. Lév. & Vaniot essential oil (AAEO) holds significant pharmacological potential, but its application is constrained by hepatotoxicity. This study aimed to investigate the feasibility of reducing AAEO’s toxicity through storage and to evaluate changes in chemical composition, toxicity, and bioactivity.

Gas chromatography-mass spectrometry was used to analyze compositional changes during storage. Zebrafish acute toxicity tests and the liver-specific transgenic zebrafish model Tg(fabp10:EGFP) were used to assess toxicity. Antimicrobial, analgesic, and antioxidant assays evaluated variations in bioactivity.

Over the 150-day storage period, gas chromatography-mass spectrometry analysis identified 39 components. Zebrafish acute toxicity tests showed that the LD50 of AAEO stored for 0, 30, 60, 90, 120, and 150 days were 0.10 µL·mL−1, 0.10 µL·mL−1, 0.10 µL·mL−1, 0.11 µL·mL−1, 0.13 µL·mL−1, and 0.14 µL·mL−1, respectively, demonstrating a 40% reduction in acute toxicity after 150 days of storage. Using the liver-specific green fluorescent transgenic Tg(fabp10:EGFP) zebrafish model, the inhibition rates of AAEO on hepatic fluorescence intensity were measured at 68.5%, 43.5%, 42.6%, 37.8%, 34.6%, and 31.9% at different time points, confirming reduced hepatotoxicity after storage. Additionally, the antioxidant and analgesic activities of AAEO were significantly enhanced (p < 0.05) after storage, while the antibacterial activity decreased (p < 0.05).

After storage, AAEO significantly reduces hepatotoxicity, with a 40% decrease in acute toxicity after 150 days. Meanwhile, the antioxidant and analgesic activities of AAEO increase, while its antibacterial activity decreases after storage.