Fiberoptic bronchoscopy involves various topical airway anesthesia protocols, which can impact patient comfort, procedural ease, and overall outcomes. This study aimed to compare pre-procedure lignocaine spray (PPL) and spray-as-you-go (SAYG) airway anesthesia in terms of patient discomfort and operator comfort during fiberoptic bronchoscopy.

A single-blind randomized controlled trial was conducted at the Pulmonology Department of Shaikh Zayed Hospital, Lahore, Pakistan, from March 2021 to March 2022. Fifty participants were randomly assigned to two groups (n = 25 each). Standard procedural sedation with midazolam and 2 mL of 4% lignocaine spray in the oropharynx was used to suppress the gag reflex. Additionally, 2% lignocaine spray was administered during the procedure according to body weight (3 mg/kg) via oral scope insertion. Cough severity, pain perception, and operator comfort were assessed using the Visual Analogue Scale, Faces Pain Rating Scale, and a 4-point Likert scale, respectively.

Demographic characteristics were comparable between the groups, with a minor age difference (PPL: 53.25 years vs. SAYG: 50.88 years, p = 0.017). No significant differences were observed in pain perception, cough scores, or procedure duration between the PPL and SAYG groups. Operator comfort scores showed a trend favoring PPL (60% rated as “comfortable” or “very comfortable” vs. 28% in SAYG), though the difference was not statistically significant (p = 0.108).

Both PPL and SAYG topical airway anesthesia methods demonstrated similar effectiveness in pain control, cough suppression, operator comfort, and procedure duration. There was a slight, non-significant preference for PPL in operator comfort. These findings suggest that either technique may be effectively used, with potential implications for procedural efficiency and patient outcomes.

Artificial intelligence (AI) is profoundly transforming the paradigm of solid tumor drug development. By integrating multi-omics data, spatial transcriptomics, and advanced computational models, AI has significantly accelerated the discovery and validation of new targets, compressing the traditional ten-year research and development cycle to two to three years. Generative AI platforms have optimized small molecule inhibitors, biologics, and messenger RNA vaccines, achieving breakthroughs in overcoming tumor heterogeneity, improving efficacy, and predicting drug resistance. However, clinical translation still faces challenges such as data bias, algorithm transparency, and the validation gap between models and real-world human experience. This review aims to systematically elaborate on the transformative role of AI in solid tumor drug development and to promote interdisciplinary cooperation as well as the construction of ethical frameworks to enable the full realization of precision oncology.

Glioblastoma (GBM) is the most prevalent and aggressive form of primary brain malignancy in adults. Despite continuous advancements in standard treatment modalities, the prognosis for patients remains extremely poor, with a median survival of less than two years. In recent years, chimeric antigen receptor T-cell (CAR-T) therapy has achieved revolutionary success in hematologic malignancies, marking a significant breakthrough in the field of immunotherapy. However, the successful application of CAR-T therapy to GBM still faces dual challenges: antigen heterogeneity and the immunosuppressive tumor microenvironment. This review systematically summarizes these challenges encountered in CAR-T therapy for GBM and the innovative strategies currently under development to address these challenges, providing insights for the future clinical translation of CAR-T therapy in GBM.

Actively identifying the risk factors and predictive indicators associated with portal vein thrombosis (PVT) in liver cirrhosis (LC) can enable early diagnosis and treatment, which is of great significance for prolonging the survival of patients with LC. Hemodynamic disturbances, advanced LC, vascular endothelial injury, and mutations in thrombophilic genetic factors are established risk factors for PVT-LC. Venous dilatation and decreased blood flow velocity contribute to hemodynamic disturbances. The severity of LC can be assessed by the degree of portal hypertension, liver metabolic function biomarkers, and validated liver scoring systems. Iatrogenic interventions, endotoxemia, and metabolic syndrome may induce vascular endothelial injury and hypercoagulability, the latter of which can be quantified via coagulation-anticoagulation-fibrinolysis biomarkers. Mutations in thrombophilic genetic factors, such as Factor V Leiden, MTHFR C667T, and JAK2 V617F, disrupt coagulation-anticoagulation homeostasis and predispose patients to PVT-LC. This review specifically focuses on comprehensively delineating established risk factors and predictive indicators for PVT-LC, thereby providing a theoretical foundation for the construction of clinically applicable PVT predictive models to guide early interventions and improve the prognosis. Future research should further validate the associations between recently proposed risk factors and PVT-LC, while simultaneously establishing cutoff values for indicators with robust predictive value to construct a clinically applicable PVT prediction framework.

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.

Achalasia is a motility disorder of the esophagus, characterized by failure of relaxation of the lower esophageal sphincter and disordered peristalsis. Although it is a rare condition, its incidence is rising, likely due to advances in diagnostic techniques and the adoption of standardized definitions. Achalasia is associated with significant morbidity, and currently, there is no cure. Pharmacologic, endoscopic, and surgical interventions are aimed at symptom control. Laparoscopic Heller myotomy (LHM) has been the standard of care for achalasia since the 1990s. Over the past two decades, per-oral endoscopic myotomy (POEM) has emerged as a viable treatment option. Today, LHM and POEM represent the two most effective treatment modalities available for achalasia. This review aims to compare outcomes following LHM and POEM for achalasia and to explore patient characteristics and technical factors that guide optimal treatment selection. We examine the evidence regarding dysphagia relief, reflux, complications, and reintervention rates for both procedures, taking into account factors such as prior surgical history, achalasia subtype, and patient comorbidities.

Chronic hepatitis B virus (HBV) infection remains a major cause of liver diseases, including cirrhosis and hepatocellular carcinoma. Reliable biomarkers for assessing viral replication, liver damage, and predicting clinical outcomes are essential for effective patient management. This review focuses on two promising biomarkers: serum HBV RNA and hepatitis B core-related antigen, both of which show strong correlations with viral replication and disease progression. Serum HBV RNA levels reflect the quantity and transcriptional activity of intrahepatic covalently closed circular DNA, providing insights into viral replication. They also correlate with other markers of replicative activity and have predictive value for key clinical outcomes, including hepatitis B e antigen and hepatitis B surface antigen seroconversion, relapse after therapy cessation, and liver fibrosis. Similarly, hepatitis B core-related antigen is closely associated with covalently closed circular DNA levels, correlates with markers of viral replication, and shows promise in predicting liver fibrosis, cirrhosis, and the risk of hepatocellular carcinoma. This review highlights the potential of both biomarkers for monitoring disease progression and guiding therapeutic decisions, particularly in the context of personalized treatment strategies and risk assessment for liver-related complications.

Acetaminophen (APAP) is one of the most commonly used analgesic and antipyretic medications and is generally considered safe at therapeutic doses. However, overdose remains a leading cause of acute liver failure, primarily characterized by centrilobular (zone 3) hepatic necrosis, oxidative stress, mitochondrial dysfunction, and sterile inflammation. The hepatotoxic effects of APAP are localized to the centrilobular region, where cytochrome P450 2E1 is highly expressed. Cytochrome P450 2E1 catalyzes the conversion of APAP to a toxic metabolite, N-acetyl-p-benzoquinone imine. During overdose, the liver’s detoxification capacity is overwhelmed and excess N-acetyl-p-benzoquinone imine binds to cellular proteins, initiating oxidative stress and mitochondrial injury that culminate in hepatocyte death. A central component of APAP-induced hepatotoxicity is the activation of innate immune responses, particularly via inflammasome pathways. Inflammasomes are cytosolic multiprotein complexes that detect cellular damage and trigger inflammation. Among these, the NOD-, LRR-, and pyrin domain-containing 3 (NLRP3) inflammasome plays a significant role in APAP-induced liver injury. Upon activation, the NLRP3 inflammasome promotes autocatalytic cleavage of procaspase-1 into its active form, caspase-1, which subsequently processes the pro-inflammatory cytokines pro-interleukin-1β and pro-interleukin-18 into their mature forms. These cytokines recruit additional immune cells and amplify liver inflammation, exacerbating tissue injury. Thus, the NLRP3 inflammasome serves as a key mechanistic link between the initial toxic insult and the ensuing inflammatory response in APAP hepatotoxicity. This review aimed to explore the molecular mechanisms underlying APAP-induced liver injury, particularly inflammasome activation, and evaluate the current and emerging therapeutic strategies.

High-grade endometrial carcinoma (HGEC) is an aggressive tumor with increasing incidence and mortality. Traditional classifications, such as Bokhman’s dualistic model and the World Health Organization histopathological system, have limitations due to tumor heterogeneity and interobserver variability. This review provides a comprehensive understanding of how integrating histopathological and molecular data, particularly The Cancer Genome Atlas (TCGA) classification, advances risk stratification and personalized treatment in HGEC. It highlights current challenges and identifies future directions to improve diagnostic accuracy and patient outcomes through precision medicine.

A literature review was conducted focusing on the epidemiology, histopathology, and molecular profiling of HGEC, with an emphasis on TCGA and next-generation sequencing studies.

TCGA molecular classification stratifies HGEC into four subgroups with distinct prognoses which includes POLE-ultramutated (POLE), microsatellite instability hypermutated, copy number high and copy number low. The next-generation sequencing enhances diagnostic precision and guides personalized treatment. However, diagnostic challenges persist in clinical practice.

Integrating histopathology with TCGA-based molecular profiling refines HGEC classification, enabling improved risk stratification and targeted therapies. Continued efforts to improve diagnostic accuracy are essential to advance patient care.