Unveiling the best predictive models for early­onset metastatic cancer: Insights and innovations (Review).

Cancer metastasis is the primary cause of cancer deaths. Metastasis involves the spread of cancer cells from the primary tumors to other body parts, commonly through lymphatic and vascular pathways. Key aspects include the high mutation rate and the capability of metastatic cells to form invasive tumors even without a large initial tumor mass. Particular emphasis is given to early metastasis, occurring in initial cancer stages and often leading to misdiagnosis, which adversely affects survival and prognosis. The present review highlighted the need for improved understanding and detection methods for early metastasis, which has not been effectively identified clinically. The present review demonstrated the clinicopathological and molecular characteristics of early­onset metastatic types of cancer, noting factors such as age, race, tumor size and location as well as the histological and pathological grade as significant predictors. In conclusion, the present review underscored the importance of early detection and management of metastatic types of cancer and called for improved predictive models, including advanced techniques such as nomograms and machine learning, so as to enhance patient outcomes, acknowledging the challenges and limitations of the current research as well as the necessity for further studies.

Tumor-associated macrophages in non-small-cell lung cancer: From treatment resistance mechanisms to therapeutic targets.

Non-small cell lung cancer (NSCLC) remains one of the leading causes of cancer-related deaths worldwide. Different treatment approaches are typically employed based on the stage of NSCLC. Common clinical treatment methods include surgical resection, drug therapy, and radiation therapy. However, with the introduction and utilization of immune checkpoint inhibitors, cancer treatment has entered a new era, completely revolutionizing the treatment landscape for various cancers and significantly improving overall patient survival. Concurrently, treatment resistance often poses a critical challenge, with many patients experiencing disease progression following an initial response due to treatment resistance. Increasing evidence suggests that the tumor microenvironment (TME) plays a pivotal role in treatment resistance. Tumor-associated macrophages (TAMs) within the TME can promote treatment resistance in NSCLC by secreting various cytokines activating signaling pathways, and interacting with other immune cells. Therefore, this article will focus on elucidating the key mechanisms of TAMs in treatment resistance and analyze how targeting TAMs can reduce the levels of treatment resistance in NSCLC, providing a comprehensive understanding of the principles and approaches to overcome treatment resistance in NSCLC.

Novel Detection of Norovirus and Double Clostridium difficile in a Closed Cartridge System.

Clostridium difficile infection (CDI) has become the main cause of diarrhea-related diseases in domestic (China) inpatients. High-sensitivity and high-specificity detection methods for CDI must be applied clinically for CDI supervisory control. In this paper, we introduce a detection method for C. difficile and Norovirus based on real-time PCR. We developed and optimized a primer-probe for Norovirus targets tcdA and tcdB with remarkably increased detection sensitivity. We then used this method in an integrated cassette, and found increased detection efficiency for Norovirus standards in the cassette compared to C. difficile samples. These results provide a basis for further exploration of automatic testing system design.

Defect and structural evolution under high-energy ion irradiation informs battery materials design for extreme environments.

Understanding defect evolution and structural transformations constitutes a prominent research frontier for ultimately controlling the electrochemical properties of advanced battery materials. Herein, for the first time, we utilize in situ high-energy Kr ion irradiation with transmission electron microscopy to monitor how defects and microstructures evolve in Na- and Li-layered cathodes with 3d transition metals. Our experimental and theoretical analyses reveal that Li-layered cathodes are more resistant to radiation-induced structural transformations, such as amorphization than Na-layered cathodes. The underlying mechanism is the facile formation of Li-transition metal antisite defects in Li-layered cathodes. The quantitative mathematical analysis of the dynamic bright-field imaging shows that defect clusters preferentially align along the Na/Li ion diffusion channels (a-b planes), which is likely governed by the formation of dislocation loops. Our study provides critical insights into designing battery materials for extreme irradiation environments and understanding fundamental defect dynamics in layered oxides.

A Novel Strategy for Liquid Exfoliation of Ultrathin Black Phosphorus Nanosheets.

As an emerging two-dimensional layered material, black phosphorus nanosheets show unparalleled optical and electronic properties. Although black phosphorus nanosheets have attracted much attention in the photoelectric field, their applications in biomedical field were still limited due to their poor biocompatibility of current synthesis strategies. Herein, we propose a novel synthetic strategy for black phosphorus nanosheets that rely on Tween 20-assisted liquid exfoliation and post-processing in deoxygenated water. Microscopic and spectroscopic analysis suggested that the produced black phosphorus nanosheets dispersions exhibited good stability and higher yield compared with other currently prepared methods. Because of their ultrahigh exfoliation efficiency, the black phosphorus flakes present few-layer and even monolayer, which are thinner than the most dispersions of black phosphorus. Thus, this method enables mass-production of high-quality few-layer black phosphorus with high biocompatibility, and has the potential to be directly used in the biological field.

Application of magnetic nanoparticles in nucleic acid detection.

Nucleic acid is the main material for storing, copying, and transmitting genetic information. Gene sequencing is of great significance in DNA damage research, gene therapy, mutation analysis, bacterial infection, drug development, and clinical diagnosis. Gene detection has a wide range of applications, such as environmental, biomedical, pharmaceutical, agriculture and forensic medicine to name a few. Compared with Sanger sequencing, high-throughput sequencing technology has the advantages of larger output, high resolution, and low cost which greatly promotes the application of sequencing technology in life science research. Magnetic nanoparticles, as an important part of nanomaterials, have been widely used in various applications because of their good dispersion, high surface area, low cost, easy separation in buffer systems and signal detection. Based on the above, the application of magnetic nanoparticles in nucleic acid detection was reviewed.

Recent advances in biosensor for detection of lung cancer biomarkers.

Lung cancer is primary cancer threatening human life worldwide with the highest mortality rate. The early detection of lung cancer plays a critical role in the early diagnosis and subsequent treatment. However, the conventional methodologies limit the applications due to the low sensitivity, being expensive, and invasive procedure. Tumor markers as biochemical parameters can reflect cancer occurrence and progression, which show sensitivity, convenience, and low cost in developing biosensors, and act as good candidates for fabricating biosensors of detecting lung cancer. This review describes various biosensors (2013-2019) for detection of lung cancer biomarkers. Firstly, the various reported tumor markers of lung cancer are briefly described. Then, the advancements of designing biosensors for sensitive, stable, and selective identification of lung cancer biomarkers are systematically provided, with a specific focus on the main clinical biomarkers such as neuron-specific enolase (NSE), cytokeratin 19 fragment (CYFRA 21-1). Finally, the recent challenges and further opportunities for developing effective biosensors for early diagnosis of lung cancer are discussed.

Advanced Diagnostic Strategies for Clostridium difficile Infection (CDI).

Clostridium difficile infection (CDI) is a leading cause of nosocomial intestinal diseases and produces considerable morbidity and mortality among inpatients globally. The increasing incidence of CDI, especially of its severe cases, creates a growing financial burden internationally. The pathogen responsible for CDI, C. difficile, is an anaerobic, spore-bearing Gram-positive bacillus that colonizes gastrointestinal tract in humans and animals. The bacterium can transfer from one host to another via the oral-fecal route and is consequently a public health concern in the community as well as hospitals. CDI also has implications for the personal hygiene of patients and medical workers. Classical risk factors for CDI include old age, long inpatient stay, and use of antibacterial agents. Clinical manifestations and a positive laboratory assay are both needed for an accurate diagnosis of CDI. Laboratory testing for C. difficile should distinguish between toxigenic and non-toxigenic strains, as well as asymptomatic colonization and the clinical manifestations of infection. Most stand-alone assays do not attain the desired sensitivity and specificity, and thus multistep algorithms and automated assays have emerged in recent years. Hospitals have adopted various assays, combining their conjunct advantages to enable rapid results, accurate diagnosis, and decreased expenditure. This strategy ultimately prevents misdiagnosis and over-diagnosis simultaneously. In this review, we describe common strategies for diagnosis of CDI and compare commercially available multistep and automatic assays.