转录组
癌症
计算生物学
机制(生物学)
癌症治疗
精密医学
生物信息学
癌症医学
癌细胞
生物
医学
基因
基因表达
遗传学
认识论
哲学
作者
Shiqi Yan,Yilin Guo,Lizhong Lin,Wenling Zhang
标识
DOI:10.1089/cbr.2023.0116
摘要
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.
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