Lung cancer is the most common malignant tumor with the highest morbidity and mortality worldwide, and its imposes an insupportable burden on patients due to its poor prognosis. The diagnosis and treatment of lung cancer is under great pressure. Therefore, it is urgent to explore effective therapeutic targets and molecular markers. Circular RNA (circRNA) is a kind of covalently closed non-coding RNAs, which has attracted much attention due to its conservation, stability and tissue specificity. Many studies have found that circRNA participates in the regulation of lung cancer through various mechanisms such as sponging miRNA and plays a part vital role in the early diagnosis, treatment and prognosis evaluation. In recent years, there have been numerous studies on circRNA in lung cancer. This paper summarizes the current progress of circRNA in the diagnosis, treatment and prognosis of lung cancer.
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With the development of medical technology, tumor vaccines as a novel precise immunotherapy approach have gradually received attention in clinical applications. Against the backdrop of the global corona virus disease 2019 (COVID-19) outbreak, vaccine technology has further advanced. Depending on the types of antigens, tumor vaccines can be divided into whole-cell vaccines, peptide vaccines, messenger ribonucleic acid (mRNA) vaccines, recombinant virus vaccines, etc. Although some tumor vaccines have been marketed and achieved certain therapeutic effects, the results of tumor vaccines in clinical trials have been unsatisfactory in the past period. With the maturation of next-generation sequencing (NGS) technology and the continuous development of bioinformatics, dynamic monitoring of the entire process of tumor subpopulation development has become a reality, which has laid a solid foundation for personalized, neoantigen-centered therapeutic tumor vaccines. This article reviews the recent developments of tumor vaccines of different types, starts with lung cancer and summarizes the achievements of tumor vaccines in clinical applications, and provides an outlook for the future development of antigen-centered tumor vaccines.
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Humans ; Cancer Vaccines/therapeutic use* ; Antigens, Neoplasm ; Lung Neoplasms/drug therapy* ; Neoplasms/genetics* ; Computational Biology ; Immunotherapy/methods* ; Lung

Single-cell transcriptome sequencing (scRNA-seq) can resolve the expression characteristics of cells in tissues with single-cell precision, enabling researchers to quantify cellular heterogeneity within populations with higher resolution, revealing potentially heterogeneous cell populations and the dynamics of complex tissues. However, the presence of a large number of technical zeros in scRNA-seq data will have an impact on downstream analysis of cell clustering, differential genes, cell annotation, and pseudotime, hindering the discovery of meaningful biological signals. The main idea to solve this problem is to make use of the potential correlation between cells and genes, and to impute the technical zeros through the observed data. Based on this, this paper reviewed the basic methods of imputing technical zeros in the scRNA-seq data and discussed the advantages and disadvantages of the existing methods. Finally, recommendations and perspectives on the use and development of the method were provided.
Cluster Analysis ; Transcriptome