Breaks for Precision Medicine in Cancer: Development and Prospects of Spatiotemporal Transcriptomics.
Shiqi YanYilin GuoLizhong LinWenling ZhangPublished in: Cancer biotherapy & radiopharmaceuticals (2024)
With the development of the social economy and the deepening understanding of cancer, cancer has become a significant cause of death, threatening human health. Although researchers have made rapid progress in cancer treatment strategies in recent years, the overall survival of cancer patients is still not optimistic. Therefore, it is essential to reveal the spatial pattern of gene expression, spatial heterogeneity of cell populations, microenvironment interactions, and other aspects of cancer. Spatiotemporal transcriptomics can help analyze the mechanism of cancer occurrence and development, greatly help precise cancer treatment, and improve clinical prognosis. Here, we review the integration strategies of single-cell RNA sequencing and spatial transcriptomics data, summarize the recent advances in spatiotemporal transcriptomics in cancer studies, and discuss the combined application of spatial multiomics, which provides new directions and strategies for the precise treatment and clinical prognosis of cancer.
Keyphrases
- single cell
- papillary thyroid
- gene expression
- squamous cell
- rna seq
- risk assessment
- human health
- stem cells
- squamous cell carcinoma
- lymph node metastasis
- dna methylation
- healthcare
- childhood cancer
- mental health
- climate change
- machine learning
- bone marrow
- big data
- young adults
- artificial intelligence
- electronic health record
- current status
- replacement therapy
- sensitive detection