AI Article Synopsis

  • - Recent advancements in immunotherapy show promise in cancer treatment, but effectiveness is inconsistent, emphasizing the need for improved precision medicine strategies.
  • - Single-cell sequencing allows for a detailed analysis of tumor complexity and heterogeneity, revealing important insights about cell characteristics, interactions, and resistance mechanisms that aren’t captured by traditional methods.
  • - This review highlights progress in single-cell sequencing techniques and discusses their potential applications in immunotherapy, including the identification of new therapeutic targets and biomarkers for personalized treatment approaches.

Article Abstract

Recently, immunotherapy has gained increasing popularity in oncology. Several immunotherapies obtained remarkable clinical effects, but the efficacy varied, and only subsets of cancer patients benefited. Breaking the constraints and improving immunotherapy efficacy is extremely important in precision medicine. Whereas traditional sequencing approaches mask the characteristics of individual cells, single-cell sequencing provides multiple dimensions of cellular characterization at the single-cell level, including genomic, transcriptomic, epigenomic, proteomic, and multi-omics. Hence, the complexity of the tumor microenvironment, the universality of tumor heterogeneity, cell composition and cell-cell interactions, cell lineage tracking, and tumor drug resistance mechanisms are revealed in-depth. However, the clinical transformation of single-cell technology is not to the point of in-depth study, especially in the application of immunotherapy. The newly discovered vital cells and tremendous biomarkers facilitate the development of more efficient individualized therapeutic regimens to guide clinical treatment and predict prognosis. This review provided an overview of the progress in distinct single-cell sequencing methods and emerging strategies. For perspective, the expanding utility of combining single-cell sequencing and other technologies was discussed.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s00018-022-04608-4DOI Listing

Publication Analysis

Top Keywords

single-cell sequencing
16
single-cell
6
sequencing
5
integrative insights
4
clinical
4
insights clinical
4
clinical applications
4
applications single-cell
4
sequencing cancer
4
immunotherapy
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!