Craniopharyngioma (CP), although histologically benign, is a surgically challenging sellar-region tumor for which stereotactic irradiation is increasingly used as an alternative or adjuvant strategy. This review summarizes the role of stereotactic radiosurgery (SRS) in managing CP, with a focus on treatment outcomes, technical advances, and emerging strategies to support evidence-based clinical practice. Literature reports indicate that Gamma Knife radiosurgery achieves variable tumor control rates (36–100%), with optimal outcomes (79.6–91.4%) when marginal doses ≥12 Gy are delivered and patients receive adequate follow-up. Smaller tumors (<5 cm3) and those with higher solid components show particularly favorable outcomes. SRS demonstrates a favorable safety profile, with visual impairment occurring in approximately 4% of cases and endocrine dysfunction in 6%. Compared to conventional radiotherapy, SRS significantly reduces the risk of hypothalamic obesity in pediatric patients. The identification of BRAF mutations in papillary CPs has created novel opportunities for combining targeted therapies with SRS. Collectively, these advances underscore the role of SRS as an essential component of multidisciplinary CP management, particularly in the treatment of residual or recurrent lesions. It offers a more favorable toxicity profile and may improve quality of life outcomes compared to conventional radiotherapy. Further studies are needed to optimize patient selection, dosing strategies, and integration with novel systemic therapies.

Metabolic dysfunction-associated steatotic liver disease (MASLD), is the most common form of chronic liver disease worldwide. This study aimed to explore the role of TM6SF2 in high-fat diet (HFD)-induced MASLD through the gut-liver axis.

The TM6SF2 gut-specific knockout (TM6SF2 GKO) mouse was constructed using CRISPR/Cas9 technology. TM6SF2 GKO and wild-type (CON) mice were fed either a HFD or a control diet for 16 weeks to induce MASLD. Blood, liver, and intestinal lipid content, as well as gut microbiota and serum metabolites, were then analyzed.

TM6SF2 GKO mice fed an HFD showed elevated liver and intestinal lipid deposition compared to CON mice. The gut microbiota of HFD-fed TM6SF2 GKO mice exhibited a decreased Firmicutes/Bacteroidetes ratio compared to HFD-fed CON mice. The HFD also reduced the diversity and abundance of the microbiota and altered its composition.Aspartate aminotransferase, alanineaminotransferase, and total cholesterol levels were higher in HFD-fed TM6SF2 GKO mice compared to CON mice, while triglyceride levels were lower. Serum metabolite analysis revealed that HFD-fed TM6SF2 GKO mice had an increase in the expression of 17 metabolites (e.g., LPC [18:0/0-0]) and a decrease in 22 metabolites (e.g., benzene sulfate). The differential metabolites of LPC (18:0/0-0) may serve as HFD-fed TM6SF2 serum biomarkers, leading to MASLD exacerbation in GKO mice.

TM6SF2 GKO aggravates liver lipid accumulation and liver injury in MASLD mice. TM6SF2 may play an important role in regulating intestinal flora and the progression of MASLD through the gut-liver axis.

The diagnosis of hepatic precancerous lesions (HPC) and early hepatocellular carcinoma (HCC) has significant public health implications and holds the potential to reduce the global burden of HCC. This study aimed to identify molecular features and biomarkers associated with HPC progression and early HCC development.

RNA sequencing was used to identify differentially expressed genes in mouse HPC tissues and normal liver tissues. Cyclin E1 (CCNE1) expression in HPC tissues and HCC cells was assessed using immunohistochemistry, Western blotting, and real-time polymerase chain reaction. The effects of CCNE1 on HCC cell proliferation, migration, invasion, and apoptosis were evaluated using colony formation, wound healing, Transwell assays, and flow cytometry. The mechanism of CCNE1 was explored through Kyoto Encyclopedia of Genes and Genomes pathway analysis and gene set enrichment analysis and further validated through in vitro experiments. The interaction between CCNE1 and tumor-associated macrophages (TAMs) was investigated by co-culturing HCC cells with macrophages.

RNA sequencing and TCGA database analysis showed that CCNE1 expression was significantly elevated in mouse HPC tissues and human HCC samples and was associated with reduced survival rates. In vitro assays demonstrated that CCNE1 promoted HCC cell proliferation, migration, invasion, and survival by activating the PI3K/Akt signaling pathway. Additionally, CCNE1 induced TAM polarization toward the M2 phenotype by promoting the expression of CCL2 and CCL5 in HCC cells.

CCNE1 promotes HPC progression and HCC cell proliferation, migration, invasion, and survival by activating the PI3K/Akt signaling pathway. Furthermore, CCNE1 enhances the secretion of CCL2 and CCL5 by HCC cells, promoting TAM infiltration and M2 polarization, thereby contributing to tumor progression.

The advent of nanoparticle technology has transformed oncology therapeutics through its capacity for accurate drug delivery and regulated pharmaceutical release, boosting treatment effectiveness while minimizing adverse reactions. Various nanostructures, including polymeric carriers, liposomal formulations, and metal-based nanoparticles, can be engineered with tumor-specific targeting molecules to facilitate cellular uptake in malignant cells. Despite these advancements, issues such as production scalability, potential chronic toxicity, and regulatory approval processes still need to be addressed. Viral nanoparticles and virus-like particles (VLPs) represent innovative tools in nanotechnology and biomedicine, offering exceptional potential for targeted therapies, immune modulation, and diagnostic applications. Their natural biocompatibility, precise structural organization, and capacity for surface modification make them highly suitable for developing strategies to treat malignant tumors. Alongside VLP development, other approaches have also been investigated, such as magnetic hyperthermia, where magnetic nanoparticles are used to generate localized heat under an external magnetic field, selectively destroying cancer cells while sparing healthy tissue. This paper presents a brief review of nanocarriers in drug delivery systems and discusses the integration of nanoparticles, viral nanoparticles, and VLPs. Additionally, we explore the challenges and propose cutting-edge solutions, offering a forward-looking perspective on how the combination of these advanced technologies could transform oncology.

Patients with acute liver failure (ALF) or acute-on-chronic liver failure (ACLF) are at high risk of bleeding with traditional artificial liver support systems. To address the bleeding risk in liver failure patients, the safety of regional mesylate anticoagulation (RMA) in centrifugation artificial liver support systems (cALSS) is proposed for study.

In this prospective single-arm study, ALF and ACLF patients were treated with cALSS using RMA. Coagulation function was monitored, and the predictors of mesylate dose were analyzed using the area under the curve (AUC). Blood ammonia, model for end-stage liver disease scores, and survival rates at 28 and 90 days were assessed.

All 57 patients showed no new bleeding within 24 h post-cALSS. Most disseminated intravascular coagulation indicators improved at 0.5 h and 24 h post-cALSS. Thromboelastography showed hypocoagulability at 0.5 h post-cALSS. Univariate and multivariate analyses identified pre-R and pre-MA as key factors for R exceeding 10 m at 0.5 h post-cALSS, with odds ratios of 0.91 (95% confidence interval (CI): 0.84–0.98) and 2.03 (95% CI: 1.05–3.90), respectively, P < 0.05. The predictive values were pre-MA ≤ 38 mm (AUC = 0.817, 95% CI [0.690–0.907], P < 0.001) and pre-R > 6.3 m (AUC = 0.790, 95% CI [0.661–0.888], P < 0.001). Patients showed improvements in blood ammonia and model for end-stage liver disease scores after the last session, especially those with high initial levels (>80 µmol/L and >30). The 28-day and 90-day survival rates of ALF patients were similar to those of ACLF patients.

cALSS with RMA is safe for liver failure patients with a high risk of bleeding. Adjusting the mesylate dose based on pre-R and pre-MA enhances safety.

Drug discovery is an exceptionally long and costly process, often taking over 10 years and costing billions of dollars. Despite these efforts, more than 90% of drug candidates fail, with most failures occurring during clinical trials due to issues related to efficacy, safety, or poor pharmacokinetics. A major contributor to these failures is biopharmaceutic barriers, including poor solubility, limited permeability, active efflux by transporters such as P-glycoprotein and breast cancer resistance protein, and extensive first-pass metabolism by CYP450 enzymes. These factors severely limit drug absorption and bioavailability, reducing therapeutic efficacy. Although traditional approaches, such as high-throughput absorption, distribution, metabolism, and excretion screening and improved chemical design, have achieved some progress, a major shift is now occurring through the use of in silico modeling, artificial intelligence (AI), and machine learning. These AI-driven tools enhance the prediction accuracy of absorption, distribution, metabolism, and excretion profiles, identify transporter interactions, and even simulate metabolic pathways. Additionally, modern formulation technologies, such as three-dimensional printing, lipid-based nanocarriers, and biodegradable delivery systems, are increasingly being integrated with AI-powered design platforms to personalize and optimize drug delivery. However, these promising advancements also raise regulatory and ethical concerns that must be addressed before widespread adoption. This review examines the major biopharmaceutic barriers responsible for drug development failures and explores how emerging AI-driven strategies and formulation innovations are being used to overcome these limitations. It also discusses current regulatory challenges and ethical considerations associated with adopting these technologies.

Brain metastases from ovarian cancer (BMFOC) are rare but associated with poor prognosis. This study aimed to evaluate the efficacy and safety of Gamma Knife stereotactic radiosurgery (GKSRS) in managing patients with BMFOC.

A retrospective analysis was conducted on 22 patients with BMFOC who were treated with GKSRS between January 2015 and May 2019. The median age at the start of treatment was 57.7 years (range, 46–72 years). A total of 70 brain metastases were treated, with each patient having between one and nine metastatic tumors. The mean tumor volume was 3.6 cm3 (range, 0.1–22.7 cm3). The mean peripheral dose was 16 Gy (range, 7–20 Gy), and the mean isodose curve was 54.6% (range, 45–80%).

At 12 months post-GKSRS, 68 metastatic tumors were assessed: 32 (47.1%) showed complete response, 20 (29.4%) had partial response, 14 (20.6%) remained stable, and two (2.9%) progressed, leading to a tumor control rate of 97.1%. No acute or chronic toxicity was observed.

GKSRS appears to be an effective and well-tolerated treatment for BMFOC, offering high tumor control rates and prolonged survival in selected patients.

Lung cancer remains the leading cause of cancer-related mortality worldwide, with marked phenotypic differences observed among its major histological subtypes, adenocarcinoma (ADC), squamous cell carcinoma (SCC), and small cell lung cancer (SCLC), in both clinical presentation and therapeutic response. In recent years, metabolomics has emerged as a powerful tool for studying cancer metabolic reprogramming, providing new insights into the metabolic distinctions among lung cancer subtypes. This review summarizes recent research advances in the metabolomics of ADC, SCC, and SCLC. Studies have revealed that ADC and SCC display distinct metabolic profiles in lipid metabolism, amino acid metabolism, and cell membrane synthesis, while SCLC demonstrates a unique metabolic pattern. Through metabolomic technologies, particularly mass spectrometry and liquid chromatography, it is possible to effectively differentiate lung cancer subtypes and identify potential biomarkers for early diagnosis and personalized treatment. This review also explores the clinical potential of metabolomics in lung cancer, emphasizing its critical role in early diagnosis and subtype stratification. These methodological advances establish a robust foundation for precision oncology paradigms in thoracic malignancies.

Malignant mixed Müllerian tumor (MMMT) or carcinosarcoma of the female genital tract is a rare but highly aggressive malignancy.

We report a unique case of primary ovarian MMMT with poorly differentiated angiosarcoma as its homologous sarcomatous component in a 53-year-old woman with a known germline BRCA1 mutation who presented with a pelvic mass. She underwent staging cytoreduction surgery including total hysterectomy, bilateral salpingo-oophorectomy, omentectomy, and pelvic and para-aortic lymph node dissections. The removed right ovarian tumor formed a 2.5 cm nodular to cystic mass replacing the entire organ. Microscopic examination revealed two distinct tumor components: high-grade serous carcinoma and poorly differentiated angiosarcoma. The proliferating sarcomatous cells were diffusely positive for CD31 and Factor VIII, but were negative for 100, SOX10 and cytokeratin. Both the serous carcinoma and angiosarcoma components demonstrated aberrant strong and diffuse p53 nuclear positivity. KRAS mutation analysis revealed guanine-adenine-thymine point mutation at codon 12 in both tumor components. Metastatic tumor was found involving the contralateral left ovary with the cellular composition of pure angiosarcomatous component.

This is the first report of an ovarian MMMT with angiosarcoma as its homologous sarcoma component. The presence of aberrant p53 expression and identical KRAS mutation in both the serous carcinoma and angiosarcoma components supports the theory of malignant mesenchymal transition/metaplasia in the development of MMMT.