ObjectiveTo understand the research status and future directions of circular RNA (circRNA) in pancreatic cancer, and to provide references for its further research.MethodThe recent literatures on studies of the role of circRNA in the pancreatic cancer were reviewed.ResultsThe retsults of high-throughput sequencing had shown that large amounts of circRNA expressed abnormally in the pancreatic cancer tissues and pancreatic cancer cell lines, and they participated in the occurrence and development of pancreatic cancer, drug resistance, autophagy, and immune escape by regulating downstream target molecules such as microRNA or RNA-binding protein.ConclusionCertain circRNAs with important function are expected to become biomarkers for early diagnosis of pancreatic cancer and molecular targets for treatment, so as to achieve goals of early diagnosis and targeted therapy of pancreatic cancer.
Objective To investigate the serum level of surfactant protein D ( SP-D) in patients with chronic obstructive pulmonary disease ( COPD) and its clinical significance. Methods Serumlevels of SP-D in patients with acute exacerbations of COPD ( n = 29) , stable COPD ( n = 26) , and control subjects ( n = 19 ) were measured by ELISA. Multiple regression modeling was performed to determine the independent relationship between SP-D and lung function variables. Results The serum SP-D levels were significantly increased in the patients who experienced an acute exacerbation [ ( 70. 6 ±20. 7) ng/mL] compared with the patients with stable COPD and the control subjects [ ( 47. 9 ±13. 3) ng/mL and ( 31. 2 ±11. 4) ng/mL] ( both P lt; 0. 01) . The serum SP-D levels in the patients with stable COPD increased significantly than the control subjects ( P lt; 0. 01) . Smoking index and staging of COPD were positively related to SP-D level. Serum SP-D levels were also found to be inversely related to FEV1% pred in stable COPD. Conclusion Serum SP-D may be a potential diagnostic and staging biomarker for COPD.
Circular RNA (circRNA) is a non-coding RNA which exists widely in eukaryotic cells with a structure of covalently closed continuous loop. Its generation, characteristics and functions have received extensive attention, making it one of the hot spots in the field of non-coding RNA research. Many studies have found that circRNA plays an important role in the development of various diseases including cardiovascular disease, nervous system disease and cancer. Cardiovascular disease is a worldwide common disease with high incidence and poor prognosis. Its exact pathogenesis has not been found, which blocks the development of cardiovascular disease treatment. In this review, we summarize the loop-forming mechanisms, the functions and the progress of current researches of circRNA in cardiovascular diseases.
Objective To have more insight into roles of growth differentiation factor-15 (GDF15) in digestive tumor. Method The basic and clinical studies on the GDF15 in the digestive tumors published were searched in the databases for summarizing the latest advances on this issue. Results The GDF15, a novel member of transforming growth factor-β superfamily, played the diverse roles in the progress of the various diseases. The increasing number of evidence indicated that the GDF15 was associated with the diagnosis and prognostication of the digestive tumors, eg: colorectal cancer, hepatocellular carcinoma, pancreatic adenocarcinoma, and might serve as a potential biomarker and therapeutic target for the multiple digestive tumors. Conclusions Current basic and clinical studies provide some evidences that GDF15 plays a role in digestive tumors. Further studies are needed to elucidate its roles and molecular mechanisms in different stages of diseases.
Metaiodobenzylguanidine (MIBG) is an analog of norepinephrine that accumulates in sympathetic nerve endings soon after intravenous administration. The degree of accumulation reflects the uptake, storage and release of transmitters by noradrenergic neurons. Myocardial imaging with 123I labeled MIBG (123I-MIBG) can be used to estimate the extent of local myocardial sympathetic nerve damage, which has been widely used in the diagnosis and treatment of various heart diseases. In recent years, numerous studies have been carried out on the application of 123I-MIBG in the diagnosis of degenerative diseases of the nervous system (such as Parkinson's disease and dementia of Lewy body), and have made some achievements. The purpose of this review is to summarize the current clinical application of 123I-MIBG myocardial imaging in the diagnosis of dementia with Lewy bodies, the problems in imaging technology and the possible research directions in the future, so as to provide valuable reference information for clinicians to reasonably and accurately apply this technology in the early diagnosis and discrimination of dementia.
The human gut microbiota regulates many host pathophysiological processes including metabolic, inflammatory, immune and cellular responses. In recent years, the incidence and mortality of lung cancer have increased rapidly, which is one of the biggest challenges in the field of cancer treatment today, especially in non-small cell lung cancer. Animal models and clinical studies have found that the gut microbiota of non-small cell lung cancer patients is significantly changed compared with the healthy people. The gut microbiota and metabolites can not only play a pro-cancer or tumor suppressor role by regulating immune, inflammatory responses and so on, but also be related with radiotherapy and chemotherapy of non-small cell lung cancer and the resistance of immunotherapy. Therefore, gut microbiota and related metabolites can be both potential markers for early diagnosis and prognosis in patients with non-small cell lung cancer and novel therapeutic targets for targeted drugs. This study will review the latest research progress of effect of gut microbiota on non-small cell lung cancer, and provide a new diagnosis and treatment ideas for non-small cell lung cancer.
Objective To explore the role of cyclin B1 (CCNB1), cyclin B2 (CCNB2) and cyclin dependent kinase 1 (CDK1) in lung adenocarcinoma (LUAD) using bioinformatic data. Methods First, RNA expression data were downloaded from two datasets in Gene Expression Omnibus (GEO), and DESeq2 software was used to identify deferentially expressed genes (DEGs). Subsequent analyses were conducted based on the results of these DEGs: protein-protein interaction (PPI) network was constructed with STRING database; the modules in PPI network were analyzed by Molecular Complex Detection software, and the most significant modules were selected, the genes included in these modules were the hub genes; high-throughput RNA sequencing data from other databases were used to verify the expression of these hub genes to confirm whether they were DEGs; survival curve analyses of the confirmed DEGs were conducted to select genes that had significant influence on the survival of LUAD; the expression of these hub genes in different stages of LUAD were also analyzed. Then, Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis was performed for these selected hub genes using KOBAS database. MuTarget tool was used to analyze the correlations between the expression of these selected hub genes and gene mutation status in LUAD. The potential value of these hub genes in the treatment of LUAD was explored based on the drug information in GDSC database. Finally, immunohistochemical data from Human Protein Atlas (HPA) database were used to verify the expression of these hub genes in LUAD again. Results According to the expression data in GEO, 594 up-regulated genes and 651 down-regulated genes were identified (P<0.05), among which 30 hub genes were selected for subsequent analyses. The RNA high-throughput sequencing data of other databases verified that 18 genes were DEGs, among which 8 hub genes had significant impact on disease-free survival in LUAD (P<0.05). Moreover, the 8 genes were differentially expressed in different stages of LUAD, which were higher in the middle and late stage of LUAD. Among the 8 genes. CCNB1, CCNB2 and CDK1 were significantly enriched in the cell cycle pathway. The expression of CCNB1, CCNB2 and CDK1 in LUAD was closely related to the TP53 mutation status. In addition, CDK1 was associated with four drugs, revealing the potential value of CDK1 in the treatment of LUAD. Finally, immunohistochemical data from HPA database verified that CCNB1, CCNB2 and CDK1 were highly expressed in LUAD in the protein level. Conclusion Overexpression of CCNB1, CCNB2 and CDK1 are associated with poor prognosis of LUAD, indicating that the three genes may be prognostic biomarkers of LUAD and CDK1 is a potential therapeutic target for LUAD.
Bladder cancer is one of the most common cancers of the urinary system. Baesd on the involvement of the blandder muscle or not, bladder cancer can be generally classified into muscule-invasive bladder cancer (MIBC) and non-MIBC. Cisplatin-based neoadjuvant chemotherapy followed by radical cystectomy is the standard treament recommended by current guidelines for MIBC. Based on the good efficacy of immunocheckpoint inhibitors in advanced bladder cancer. More and more studies have explored the safety and efficacy of immunotherapy in MIBC neoadjuvant therapy, and analyzed biomarkers to explore the benefit groups. This article reviews the latest progress of various neoadjuvant immunomonotherapy in MIBC, and prospect the future direction of development.
Biological markers play a pivotal role in the early and accurate diagnosis of Alzheimer’s disease, enabling precise identification and monitoring of therapeutic interventions. The detection of central β-amyloid and Tau proteins has become an indispensable tool in clinical trials. Recent years have witnessed substantial progress in the development of readily accessible and cost-effective blood biomarkers. This comprehensive article provides a comprehensive overview of the clinical applications of blood biomarkers, encompassing β-amyloid, phosphorylated Tau protein, neurofilament light chain protein, and glial fibrillary acidic protein, all of which have demonstrated clinical relevance in Alzheimer’s disease diagnosis. Notably, phosphorylated Tau protein exhibits superior diagnostic efficacy. The incorporation of blood biomarkers facilitates early screening, accurate diagnosis, and efficacious treatment of Alzheimer’s disease.
ObjectiveTo evaluate the monitoring value of brain injury biomarkers in the patients during extracorporeal membrane oxygenation (ECMO). MethodsWe searched PubMed, EMbase, the Cochrane Library, CNKI, and CBM from inception of each database to May 2015 to identify randomized controlled trials, or case-control trials, or cohort trials of brain injury biomarkers predict brain injury during ECMO. Data were extracted independently by two reviewers. Meta-analysis was conducted using STATA 12.0 software. ResultsFour retrospective trials were included. The results showed that compared with patients without brain injury, the patients with brain injury had a higher level of S100B protein (P < 0.05). The incidence of major neurological events was higher for high neuron-specific enolase level patients than mild-to-moderate neuron-specific enolase level patients (85% vs. 29%, P=0.01). The incidence of brain injury was higher for normal glial fibrillary acidic protein level than patients with glial fibrillary acidic protein > 0.436 ng/ml (OR=11.5, 95%CI 1.3-98.3). ConclusionsBrain injury biomarkers may be used as an indicator for earlier diagnosis of brain injury in patients during ECMO.