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Breaks for Precision Medicine in Cancer: Development and Prospects of Spatiotemporal Transcriptomics.
Yan, Shiqi; Guo, Yilin; Lin, Lizhong; Zhang, Wenling.
Afiliação
  • Yan S; Department of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
  • Guo Y; Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha, Hunan, People's Republic of China.
  • Lin L; Department of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
  • Zhang W; Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha, Hunan, People's Republic of China.
Cancer Biother Radiopharm ; 39(1): 35-45, 2024 Feb.
Article em En | MEDLINE | ID: mdl-38181185
ABSTRACT
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Medicina de Precisão / Neoplasias Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Medicina de Precisão / Neoplasias Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article