Efficacy, safety, and multi-omics analysis of pembrolizumab combined with nab-paclitaxel and platinum as first-line treatment in patients with recurrent or metastatic head and neck squamous cell carcinoma: A single-arm phase 2 study.

Objective: Based on the findings of the KEYNOTE-048 study, pembrolizumab in combination with platinum and fluorouracil is the standard first-line treatment for recurrent or metastatic head and neck squamous cell carcinoma (R/M HNSCC). The efficacy and safety of pembrolizumab combined with nab-paclitaxel and platinum in such patients remain unexplored.

Methods: This single-arm phase 2 study enrolled patients with R/M HNSCC who received pembrolizumab (200 mg), nab-paclitaxel (260 mg/m²), and either cisplatin (75 mg/m²) or carboplatin [area under the curve (AUC) 5] every 21 d for up to six cycles, followed by pembrolizumab maintenance therapy.

Benzoylaconine: Potential Therapeutic Agent for Cardiovascular Diseases From Fuzi.

Modern pharmacological studies have elucidated the presence of aconitine (AC) alkaloids, polysaccharides, and saponins as the primary bioactive constituents of Fuzi. Among these, benzoylaconine, a pivotal active compound, demonstrates notable pharmacological properties including antitumor, anti-inflammatory, and cardiovascular protective effects. In recent years, benzoylaconine has garnered significant attention in basic research on heart diseases, emerging as a focal point of investigation.

Bletilla striata polysaccharide-mediated trained immunity drives the hematopoietic progenitors' expansion and myelopoiesis.

Trained immunity represents a functional state of the innate immune response, characterized by enduring epigenetic reprogramming of innate immune cells. This phenomenon facilitates a sustained and advantageous reaction of myeloid cells to subsequent challenges. Bletilla striata polysaccharide (BSP) is the primary active component of Bletilla striata, mainly consisting of mannose and glucose in its chemical structure.

Artificial neural network systems to predict the response to sintilimab in squamous-cell non-small-cell lung cancer based on data of ORIENT-3 study.

Background: Existing biomarkers and models for predicting response to programmed cell death protein 1 monoclonal antibody in advanced squamous-cell non-small cell lung cancer (sqNSCLC) did not have enough accuracy. We used data from the ORIENT-3 study to construct artificial neural network (ANN) systems to predict the response to sintilimab for sqNSCLC.

Methods: Four ANN systems based on bulk RNA data to predict disease control (DC), immune DC (iDC), objective response (OR) and immune OR (iOR) were constructed and tested for patients with sqNSCLC treated with sintilimab.

Proteomic profiling reveals the significance of lipid metabolism in small cell lung cancer recurrence and metastasis.

Background: Small cell lung cancer (SCLC) is a lethal and recalcitrant malignancy with early metastases. However, the molecular and cellular mechanisms underlying its aggressive characteristics remain relatively elusive.

Methods: In this study, we conducted a comprehensive proteomic analysis of 90 primary tumors, 15 patient-matched lymph node metastatic tumors, and 15 brain metastatic tumors derived from a cohort of 105 SCLC patients.

Evaluating the accuracy of a nutritional screening tool for patients with digestive system tumors: A hierarchical Bayesian latent class meta-analysis.

Background: Cancer, particularly tumors of the digestive system, presents a major global health challenge. The incidence and mortality rates of these cancers are increasing, and many patients face significant nutritional risks, which are often overlooked in clinical practice. This oversight can lead to serious health consequences, underscoring the need for effective nutritional assessment tools to improve clinical outcomes.

Spatial analyses revealed CXCL5 and SLC6A14 as the markers of microvascular invasion in intrahepatic cholangiocarcinoma.

Background: Microvascular invasion (MVI) is a critical prognostic factor in intrahepatic cholangiocarcinoma (ICC), strongly associated with postoperative recurrence. However, the phenotypic features and spatial organization of MVI remain inadequately understood.

Methods: We performed a spatial transcriptomic analysis on 29,632 spots from six ICC samples, manually delineating MVI clusters using the cloupe software.

Novel IgG-IgM Autoantibody Panel Enhances Detection of Early-stage Lung Adenocarcinoma from Benign Nodules.

Autoantibodies hold promise for diagnosing lung cancer. However, their effectiveness in early-stage detection needs improvement. We investigated novel IgG and IgM autoantibodies for detection of early-stage lung adenocarcinoma (Early-LUAD) across three independent cohorts of 1246 individuals.

DKK1+ tumor cells inhibited the infiltration of CCL19+ fibroblasts and plasma cells contributing to worse immunotherapy response in hepatocellular carcinoma.

Intra-tumor immune infiltration plays a pivotal role in the interaction with tumor cells in hepatocellular carcinoma (HCC). However, its phenotype and related spatial structure remained elusive. To address these limitations, we conducted a comprehensive study combining spatial data (38,191 spots from eight samples) and single-cell data (56,022 cells from 20 samples).

The co-location of MARCO+ tumor-associated macrophages and CTSE+ tumor cells determined the poor prognosis in intrahepatic cholangiocarcinoma.

Intra-tumor immune infiltration is a crucial element interacting with tumor cells in intrahepatic cholangiocarcinoma (ICC). However, its phenotype and related spatial structure remained elusive. To address these limitations, we undertook a comprehensive study combining spatial data (29,632 spots from six samples) and single-cell data (21,158 cells from 35 samples).

Nanocarriers Targeting Circular RNA ADARB1 Boost Radiosensitivity of Nasopharyngeal Carcinoma through Synergically Promoting Ferroptosis.

Nasopharyngeal carcinoma (NPC) is a common malignant tumor of the head and neck, prevalent in regions such as Southern China and Southeast Asia. Radiotherapy serves as the primary clinical treatment for this carcinoma. However, resistance to radiotherapy is a fundamental cause of treatment failure and patient mortality, with the underlying mechanisms yet to be fully elucidated.

Spatial analyses revealed S100P + TFF1 + tumor cells in spread through air spaces samples correlated with undesirable therapy response in non-small cell lung cancer.

Spread through air spaces (STAS) is a recognized aggressive pattern in lung cancer, serving as a crucial risk factor for postoperative recurrence. However, its phenotype and related spatial structure have remained elusive. To address these limitations, we conducted a comprehensive study based on spatial data, analyzing over 30,000 spots from 14 non-STAS samples and one STAS sample.

Social network effect on land transfer willingness of the rural elders: Evidence from China.

The elders in China's rural areas are facing challenges in maintaining agricultural production due to the outflow of rural laborers. The Transfer of land could alleviate the burden of land-based livelihoods for rural elders, but their decisions regarding land transfer are influenced by their social networks within the context of Chinese rural society. This study investigates how social networks impact the willingness of rural elders to transfer land.

Anesthetic Influence on Electroconvulsive Therapy: A Comprehensive Review.

The prevalence of severe mental disorders has been rising annually. Electroconvulsive therapy (ECT) is considered a valuable treatment option in psychiatry for conditions such as schizophrenia and medication-resistant depression, especially when other treatments have proven insufficient. ECT rapidly improves patients' mood, alleviates symptoms, and demonstrates significant therapeutic effects.

Epidemiology, prognostic factors, and treatment of head and neck mucoepidermoid carcinoma: Analysis of the surveillance, epidemiology, and end results database.

Objectives: To investigate prognostic factors in patients with head and neck Mucoepidermoid Carcinoma (MEC), especially the impact of treatment modalities on survival.

Methods: Patients with primary head and neck MEC between 2000 and 2015 were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. Prognostic factors related to Overall Survival (OS) and Cancer-Specific Survival (CSS), as well as the impact of treatments, were evaluated by multivariable Cox regression analysis.

Mutational variant allele frequency profile as a biomarker of response to immune checkpoint blockade in non-small cell lung Cancer.

Introduction: Identifying new biomarkers for predicting immune checkpoint inhibitors (ICIs) response in non-small cell lung cancer (NSCLC) is crucial. We aimed to assess the variant allele frequency (VAF)-related profile as a novel biomarker for NSCLC personalized therapy.

Methods: We utilized genomic data of 915 NSCLC patients via cBioPortal and a local cohort of 23 patients for model construction and mutational analysis.

[Characteristics and drivers of vegetation temporal dynamics in Hunan Province of China during 2002-2020].

Understanding the influences of climate change and human activities on vegetation change is the foundation for effective ecosystem management. Based on the 250 m MODIS-NDVI data from 2002 to 2020, we employed Theil-Sen Median trend analysis and the Mann-Kendall test to quantify vegetation change in Hunan Province. By combining with meteorological, nighttime light index, land cover and other data, residual analysis and correlation analysis, we examined the impacts of human activities and climate change on vegetation dynamics at both the pixel level and the county level.

Single-cell and spatial transcriptomics reveal a high glycolysis B cell and tumor-associated macrophages cluster correlated with poor prognosis and exhausted immune microenvironment in diffuse large B-cell lymphoma.

Background: Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous malignancy characterized by varied responses to treatment and prognoses. Understanding the metabolic characteristics driving DLBCL progression is crucial for developing personalized therapies.

Methods: This study utilized multiple omics technologies including single-cell transcriptomics (n = 5), bulk transcriptomics (n = 966), spatial transcriptomics (n = 10), immunohistochemistry (n = 34), multiple immunofluorescence (n = 20) and to elucidate the metabolic features of highly malignant DLBCL cells and tumor-associated macrophages (TAMs), along with their associated tumor microenvironment.

Functionally Gradient Macroporous Polymers: Emulsion Templating Offers Control over Density, Pore Morphology, and Composition.

Gradient macroporous polymers were produced by polymerization of emulsion templates comprising a continuous monomer phase and an internal aqueous template phase. To produce macroporous polymers with gradient composition, pore size, and foam density, we varied the template formulation, droplet size, and internal phase ratio of emulsion templates continuously and stacked those prior to polymerization. Using the outlined approach, it is possible to vary one property along the resulting macroporous polymer while retaining the other properties.